Difference between revisions of "Example Models and Libraries - Table"

 
(One intermediate revision by the same user not shown)
Line 397: Line 397:
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Takes typical bond purchase inputs (purchase price, par value, interest rate, and life to maturity) and calculates bond cash flows, current yield, and yield to maturity.</div>
 
|[[Bond Model]]
 
|[[Bond Model]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Example of a breakeven analysis of a set of revenue levels, when the fixed expenses are set at one amount and the variable expenses are a constant fraction of revenue.</div>
 
|[[Breakeven Analysis]]
 
|[[Breakeven Analysis]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Evaluates and compares the expected commercialization value of multiple proposed R&D projects.</div>
|[[]]
+
|[[Expected R&D Project Value]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Financial Statement Templates]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Explores a market for a new product, and the pricing and advertising budget decisions involved.</div>
|[[]]
+
|[[Market Model]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Takes input data for activity paths required to complete a project, and calculates various outputs describing the critical path, timing, and costs for project completion.</div>
|[[]]
+
|[[Plan_Schedule_ Control]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Evaluates and prioritizes a portfolio of projects based on either the estimated net present value or a multi-attribute score, based on strategy fit, staff development, the generation of public goodwill, and estimated net revenue.</div>
|[[]]
+
|[[Project Portfolio Planner]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Sales Effectiveness]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Subscriber Pricing]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Demonstrates the use of a waterfall chart to visualize the components of an earnings stream from an asset.</div>
|[[]]
+
|[[Waterfall chart]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Demonstrates how a distribution for an estimated statistic can be obtained by resampling repeatedly.</div>
|[[]]
+
|[[Bootstrapping]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Example of scatter plots in Analytica.</div>
|[[]]
+
|[[Kmeans Clustering]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Demonstrates the use of Logistic and Probit regression to fit a generalized linear model to breast cancer data.</div>
|[[]]
+
|[[Logistic regression prior selection]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Moving Average Example]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Multidimensional Scaling]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Principle Components]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Regression Examples]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Example of how to decide where to throw a party. Shows how to model a two-branch decision tree in Analytica.</div>
|[[]]
+
|[[Two Branch Party Tree]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Uses the beta distribution for the Bayesian update of beliefs about the probability that a coin will come up heads.</div>
|[[]]
+
|[[Beta Updating]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Multi-project R&D evaluation models a typical R&D decision problem that might be faced by a biogenetic company.</div>
|[[]]
+
|[[Biotech R&D Portfolio]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Diversification Illustration]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Expected Value of Sampling Information (EVSI)]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Gibbs Sampling in Bayesian Network]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Models R&D decision analysis for investment strategy among several choices of powerplants for a low emissions vehicle (LEV).</div>
|[[]]
+
|[[LEV R&D Strategy]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Demonstrates a marginal benefit/cost analysis to determine the policy alternative that leads to the most economically efficient level of cleanup.</div>
|[[]]
+
|[[Marginal Analysis for Control of SO2 Emissions]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Example of a multi-attribute utility analysis for cars, showing how to analyze an array of cars across an array of attributes, where different drivers assign differing weights to the importance of each attribute.</div>
|[[]]
+
|[[Multi-attribute Utility Analysis]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Newton-Raphson Method]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Uses decision tree terminology to provide an example asymmetric decision tree in Analytica.
|[[]]
+
 
 +
</div>
 +
|[[Nonsymmetric Tree]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Party With Forecast]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Plane catching decision with EVIU]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Probability of Gaussian Region (Importance Sampling)]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Calculates the required supply level to maximize profit when the profit function is asymmetric around the average demand value.</div>
|[[]]
+
|[[Supply and Demand]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Tornado Diagrams]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Represents a decision often faced in today’s world: which technology to purchase now, in the face of uncertain future products and prices.</div>
|[[]]
+
|[[Upgrade Decision]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Forecasts the population of fish and the establishment of a contagious viral disease within the population over time.</div>
|[[]]
+
|[[Disease establishment]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Levels staff efforts over time according to staff available, computing both the work done over time and idle time.</div>
|[[]]
+
|[[Leveling]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Demonstrates how to simulate a Markov process using dynamic time. The example estimates the number of hospital patients over time, modeled as a Markov process.</div>
|[[]]
+
|[[Markov Chain]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Mass-Spring-Damper]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Models a mean-reverting price process, along with a trading strategy to "beat the market". It demonstrates the encoding of a Markov Decision Process.</div>
|[[]]
+
|[[Mean-reversion trading]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Minimal edit distance]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Optimal Path Dynamic Programming]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Parking Space Selection]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Projectile Motion]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Tunnel through earth]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Example of a dynamic variable that calculates growth over time, where Time is defined with unequal time steps. It is an example of exponential or linear growth or decay.</div>
|[[]]
+
|[[Unequal time steps]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Curve fits noisy time-sequence data using an adaptive filter.</div>
|[[]]
+
|[[Adaptive Filter]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Calculates the expected gain of an antenna looking at two different satellites.</div>
|[[]]
+
|[[Antenna Gain]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Computes the load that a Douglas-Fir Large compression post can support.</div>
|[[]]
+
|[[Compression Post Load Capacity]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Demonstration showing how to analyze life cycle costs and savings from daylighting options in building design.</div>
|[[]]
+
|[[Daylight Analyzer]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Failure Analysis]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Ideal Gas Law]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Power dispatch]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Regular polygon calculator]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Find Words Game]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Fractals everywhere]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Probability assessment]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Abstracted Subset]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Assignment from Button]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Calculates the auto-correlation coefficients of noisy time sequence data.</div>
|[[]]
+
|[[Autocorrelation]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Choice and Determtables]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Correlated Distributions]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Correlated Normals]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[DBWrite Example]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Discrete Sampling]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Demonstrates how to extract a diagonal from a matrix.</div>
|[[]]
+
|[[Extracting Diagonal]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Lookup Reindexing]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Map images from internet]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Sample Size Input Node]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Sorting People by Height]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Creates a subset array out of a larger array based on a decision criterion.</div>
|[[]]
+
|[[Subset of Array]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Swaps a computed or one-dimensional table value with its index, thereby making the computed value an index.</div>
|[[]]
+
|[[Swapping y and x-index]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Use of MDTable]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Airline NLP]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Asset allocation]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Automobile Production]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Beer Distribution LP]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Big Mac Attack]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Example of capital budgeting for four possible projects, where the objective is to decide which projects to choose in order to maximize the total return.</div>
|[[]]
+
|[[Capital Investment]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Diagnosing an infeasible set of linear constraints.</div>
|[[]]
+
|[[Infeasible]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Linear program to determine which product variants to produce and how labor should be allocated among the various production steps based on the workers’ skill sets.</div>
|[[]]
+
|[[Labor production allocation]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Demonstration of a grouped-integer domain. Fill in a square with the digits 1 through n2 such that the rows and columns all sum to the same value.</div>
|[[]]
+
|[[Magic Square]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[NLP with Jacobian]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Optimal can dimensions]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Optimal Production Allocation]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Allocate planes to origin/destination legs to maximize gross margin.</div>
|[[]]
+
|[[Plane allocation LP]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">1-D example illustrating local the problem of local optima.</div>
|[[]]
+
|[[Polynomial NLP]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Problems with Local Optima]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Production Planning LP]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Example of a quadratically constrained optimization problem with a quadratic objective function.</div>
|[[]]
+
|[[Quadratic Constraints]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Demonstrates how an nonlinear programming formulation can be used to solve a non- linear equation.</div>
|[[]]
+
|[[Solve using NLP]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Find a solution to a Sudoku puzzle.</div>
|[[]]
+
|[[Sudoku with Optimizer]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Find a minimal length tour through a set of cites.</div>
|[[]]
+
|[[Traveling salesman]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Two Mines Model]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Vacation plan with PWL tax]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Projects cost assessments of damage resulting from large earthquakes over time. It demonstrates risk analysis with time-dependence and costs of events shifted over time.</div>
|[[]]
+
|[[Earthquake expense risk]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Compares the value of various policies for restraints on occupants of automobiles.</div>
|[[]]
+
|[[Seat belt safety]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Demonstrates risk/benefit analysis, in this case regarding the benefits of reducing the emissions of fictitious air pollutant TXC.</div>
|[[]]
+
|[[Txc]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Rent vs Buy Model]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Rent vs Buy Analysis]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Car cost]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Car cost model ch 4]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Car cost model ch 5]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Hares sub-module - act I]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Foxes and hares sub-modules - act II]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Foxes and hares act III]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Demonstrate the building blocks for creating and editing variable definitions — expressions, standard operators, and mathematical functions.</div>
|[[]]
+
|[[Expression Examples]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Input and Output Nodes]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Examples in this model demonstrate the basics of working with multidimensional arrays.</div>
|[[]]
+
|[[Array Examples]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Examples in this model demonstrate many more of Analytica’s built-in array functions.</div>
|[[]]
+
|[[Array Function Examples]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Analyzing Unc & Sens]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Continuous Distributions]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Discrete Distributions]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Dynamic model that finds the downward velocity and position of a dropped object over a six second time period.</div>
|[[]]
+
|[[Dynamic & Dependencies]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Dynamic & Uncertainty]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Simple dynamic model, with one variable that changes over time. This example finds the gasoline price for each of five years, assuming a 5% growth rate.</div>
|[[]]
+
|[[Dynamic Example 1]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Slight increase in complexity over Dynamic Example 1. Instead of assuming a fixed inflation rate, this example, looks at the price with three different inflation rates for comparison.
|[[]]
+
 
 +
</div>
 +
|[[Dynamic Example 2]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Illustrates a dynamic loop involving simultaneous recurrences over two distinct indexes.</div>
|[[]]
+
|[[Dynamic on multiple indexes]]
 
|-
 
|-
  
| Library
+
| Model
 
|Included with software
 
|Included with software
 
|
 
|
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Dynamic on non-Time index]]
 
|-
 
|-
  
Line 1,345: Line 1,349:
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Functions that convert between binary, octal, decimal integer and hexadecimal values.</div>
|[[]]
+
|[[Base conversion library]]
 
|-
 
|-
  
Line 1,354: Line 1,358:
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Bayes Function]]
 
|-
 
|-
  
Line 1,362: Line 1,366:
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Complex Library]]
 
|-
 
|-
  
Line 1,370: Line 1,374:
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Concatenation]]
 
|-
 
|-
  
Line 1,378: Line 1,382:
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Data Statistics Library]]
 
|-
 
|-
  
Line 1,386: Line 1,390:
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Distribution Densities]]
 
|-
 
|-
  
Line 1,393: Line 1,397:
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Contains various functions for defining standard distributions using different sets of parameters.</div>
|[[]]
+
|[[Distribution Variations]]
 
|-
 
|-
  
Line 1,402: Line 1,406:
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Expand Index]]
 
|-
 
|-
  
Line 1,410: Line 1,414:
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Financial Library]]
 
|-
 
|-
  
Line 1,417: Line 1,421:
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Provides functions for writing data to and from flat files, particularly between two- dimensional tables and comma-separated value (CSV) files.</div>
|[[]]
+
|[[Flat File Library]]
 
|-
 
|-
  
Line 1,426: Line 1,430:
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Garbage Bin Library]]
 
|-
 
|-
  
Line 1,434: Line 1,438:
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Generalized Regression]]
 
|-
 
|-
  
Line 1,442: Line 1,446:
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Linked List Library]]
 
|-
 
|-
  
Line 1,449: Line 1,453:
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">Contains functions for creating several multivariate distributions.</div>
|[[]]
+
|[[Multivariate Distributions Library]]
 
|-
 
|-
  
Line 1,458: Line 1,462:
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[ODBC-Library]]
 
|-
 
|-
  
Line 1,466: Line 1,470:
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Optimization functions]]
 
|-
 
|-
  
Line 1,473: Line 1,477:
 
|
 
|
 
|
 
|
|<div style="text-align: left;"></div>
+
|<div style="text-align: left;">See which variables and functions are taking most of the computation time when running your model.</div>
|[[]]
+
|[[Performance Profiler]]
 
|-
 
|-
  
Line 1,482: Line 1,486:
 
|
 
|
 
|<div style="text-align: left;"></div>
 
|<div style="text-align: left;"></div>
|[[]]
+
|[[Structured Optimization Tools]]
 
|-
 
|-
  
 
|}
 
|}
 
</div>
 
</div>

Latest revision as of 16:43, 18 January 2023


This page lists example models and libraries. You can download them from here or (in some cases) link to a page with more details. Feel free to include and upload your own models and libraries.

Model/Library Download Domain Methods Description For more
Model Marginal abatement home heating.ana carbon price, energy efficiency, climate policy graph methods, optimal allocation, budget constraint
Shows how to set up a Marginal Abatement graph in Analytica.
Marginal Abatement Graph
Model Solar Panel Analysis.ana renewable energy, photovoltaics, tax credits net present value, internal rate of return, agile modeling
Explores whether it would it be cost effective to install solar panels on the roof of a house in San Jose, California.
Solar Panel Analysis
Model Items within budget.ana
Given a set of items, with a priority and a cost for each, selects out the highest priority items that fit within the fixed budget.
Items within Budget function
Model Grant exclusion.ana business analysis
Tests a hypothesis about the distribution of an attribute of the marginal rejectee of a grant program, given the relevance of that attribute to award of the grant.
Grant Exclusion Model
Model Project Priorities 5 0.ana business models cost analysis, net present value (NPV), uncertainty analysis
Evaluates a set of R&D projects (including uncertain R&D costs/revenues), uses multiattribute analysis to compare projects & generates the best portfolio given a R&D budget.
Project Planner
Model Steel and aluminum tariff model.ana
Estimate of the net impact of the 2018 import tariffs on steel and aluminum on the US trade deficit.
Steel and Aluminum import tariff impact on US trade deficit
Model Tax bracket interpolation 2021.ana
Computes amount of tax due from taxable income for a 2017 US Federal tax return.
Tax bracket interpolation
Model Feasible Sampler.ana feasibility
Implements a button that will sample a collection of chance variables, then reset the sample size and keep only those sample points that are "feasible".
Model Cross-validation example.ana cross-validation, overfitting, non-linear kernel functions
Fits a non-linear kernel function to the residual error, and uses cross-validation to determine how many kernel functions should be used.
Cross-Validation / Fitting Kernel Functions to Data
Model Bootstrapping.ana bootstrapping, sampling error, re-sampling
Bootstrapping; estimates sampling error by resampling the original data.
Statistical Bootstrapping
Model Kernel Density Estimation.ana kernel density estimation, kernel density smoothing
Demonstrates a very simple fixed-width kernel density estimator to estimate a "smooth" probability density.
Smooth PDF plots using Kernel Density Estimation
Model Output and input columns.ana data analysis
Presents an input table to a user, where one column is populated with computed output data, the other column with checkboxes for the user to select.
Output and Input Columns in Same Table
Model Platform2018b.ana offshore platforms, oil and gas, stakeholders, rigs to reefs, decision support decision analysis, multi-attribute, sensitivity analysis
Determined how to decommission California's 27 offshore oil platforms.
From Controversy to Consensus: California's offshore oil platforms
Model Comparing retirement account types.ana or Free 101 Compatible Version 401(k), IRA, retirement account, decision analysis, uncertainty MultiTables, sensitivity analysis
Explores tradeoffs between different retirement account types.
Retirement plan type comparison
Model Plane catching with UI 2020.ANA decision theory, decision analysis, uncertainty, Monte Carlo simulation, value of information, EVPI, EVIU
Determines when you should leave home to catch an early morning plane departure.
Plane Catching Decision with Expected Value of Including Uncertainty
Model Marginal Analysis for Control of SO2 Emissions.ana environmental engineering cost-benefit analysis, marginal analysis
Marginal analysis a.k.a. benefit/cost analysis to determine the policy alternative that leads us to the most economically efficient level of cleanup of acid rain from coal-burning electric-generating plants.
Marginal Analysis for Control of SO2 emissions
Model Donor-Presenter Dashboard.ana dynamic models, Markov processes
Implements a continuous-time Markov chain in Analytica's discrete-time dynamic simulation environment. It supports immigration to, and emigration from, every node.
Donor/Presenter Dashboard
Model Photosynthesis Regulation.ana - main regulation pathways
Photosystem.ana - rough sketch of genetic regulation
photosynthesis dynamic models
A model of how photosynthesis is regulated inside a cyanobacteria. Simulates the concentration levels of key transport molecules along the chain.
Regulation of Photosynthesis
Model Time-series-reindexing.ana dynamic models, forecasting, time-series re-indexing
Examples of time-series re-indexing.
Time-series re-indexing
Model Post Compression Model
Calculator for computing the maximum load that can be handled by a Douglas Fir - Larch post of a given size, grade, and composition in a construction setting.
Timber Post Compression Load Capacity
Model Compression Post Load Capacity.ana compression analysis
Computes the load that a Douglas-Fir Larch post can support in compression. Works for different timber types and grades and post sizes.
Compression Post Load Calculator
Model Daylighting analyzer.ana engineering cost-benefits analysis
How to analyze lifecycle costs and savings from daylighting options in building design.
Daylighting Options in Building Design
Model California Power Plants.ana power plants edit table, choice menu, pulldown menu, checkbox
Example showing how to use Choice menus and Checkbox inside an Edit table.
California Power Plants
Model Requires Analytica Optimizer
Electrical Transmission.ana
electrical engineering, power generation and transmission
Electrical network model that minimizes total cost of generation and transmission.
Electrical Generation and Transmission
Model Time of use pricing.ana & MECOLS0620.xlsx
(both files needed)
reading from spreadsheets, time-of-use pricing, electricity pricing
Time-of-use pricing is a rate tariff model used by utility companies that changes more during times when demand tends to exceed supply.
Time of Use pricing
Model Color map.ana computed cell formatting
A model which highlights Cell Formatting and Computed Cell Formats.
Color Map
Model World cup.ana
Demonstrates the Poisson distribution to determine why France beat Croatia in 2018.
2018 World Cup Soccer final
Model resnet18.zip residual network, deep residual learning, image recognition
Show it an image, and it tries to recognize what it is an image of, classifying it among 1000 possible categories. It uses an 18-layer residual network.
Image recognition
Model Month to quarter.ana aggregation, level of detail, days, weeks, months, quarters, years
Shows how to transform an array from a finer-grain index (e.g., Month) onto a coarser index (e.g., Quarter). We generally refer to this as aggregation.
Transforming Dimensions by transform matrix, month to quarter
Model Convolution.ana signal analysis, systems analysis
Contains several examples of convolved functions.
Convolution
Model Dependency Tracker.ana dependency analysis
This module tracks dependencies through your model, updating the visual appearance of nodes so that you can quickly visualize the paths by which one variable influences another.
Dependency Tracker Module
Model French-English.ana multi-lingual models
Maintains a single influence diagram with Title and Description attributes in both English and French.
Multi-lingual Influence Diagram
Model Parsing XML example.ana data extraction, xml, DOM parsing
Demonstrates two methods for extracting data: Using a full XML DOM parser, or using regular expressions.
Extracting Data from an XML file
Model Vector Math.ana geospatial analysis, GIS, vector analysis
Functions used for computing geospatial coordinates and distances.
Vector Math
Model Total Allowable w Optimizer.ana or
Total Allowable w StepInterp.ana for those without Optimizer
population analysis, dynamic models, optimization analysis
Determines how many fish or animals can be caught (landed) annually so that the probability of the population declining X% in Y years (decline threshold) is less than Z% (risk tolerance).
Total Allowable Harvest
Model Cereal Formulation1.ana product formulation, cereal formulation
Cereal formulation/discrete mixed integer model that chooses product formulations to minimize total ingredient costs.
Linearizing a discrete NSP
Model Neural Network.ana feed-forward neural networks, non-linear regression optimization analysis
Models set up to train a 2-layer feedforward sigmoid network to "learn" the concept represented by the data set(s), and then test how well it does across examples not appearing in the training set.
Neural Network
Model Earthquake expenses.ana risk analysis, cost analysis
An example of risk analysis with time-dependence and costs shifted over time.
Earthquake Expenses
Model Best used with Analytica Optimizer
Loan policy selection.ana
creditworthiness, credit rating, default risk risk analysis
Helps a lender decide optimal credit rating threshold to require and what interest rate (above prime) to charge.
Loan Policy Selection
Model Hubbard_and_Seiersen_cyberrisk.ana cybersecurity risk loss exceedance curve, simulation
Simulates loss exceedance curves for a set of cybersecurity events, the likelihood and probabilistic monetary impact of which have been characterized by system experts.
Inherent and Residual Risk Simulation
Model Media:Red_State_Blue_State_plot.ana map, states graphing
Example containing the shape outlines for each of the 50 US states, along with a graph that uses color to depict something that varies by state.
Red or blue state
Model COVID Model 2020--03-25.ana covid, covid-19, coronavirus, corona, epidemic
A systems dynamics style SICR model of the COVID-19 outbreak within the state of Colorado.
COVID-19 State Simulator, a Systems Dynamics approach
Model Corona Markov.ana covid, covid-19, coronavirus, corona, epidemic, sensitivity analyses
Explores the progression of the COVID-19 coronavirus epidemic in the US, and to explore the effects of different levels of social isolation.
How social isolation impacts COVID-19 spread in the US - A Markov model approach
Model Modelo Epidemiológoco para el Covid-19 con cuarentena.ana covid, covid-19, coronavirus, corona, epidemic
Un modelo en cadena de Markov del impacto previsto de la enfermedad coronavirus COVID-19 en el Perú, y del impacto del aislamiento social.
Epidemiological model of COVID-19 for Perú, en español
Model COVID-19 Triangle Suppression.ana covid, covid-19, coronavirus, corona, epidemic
Models progression of the COVID-19 pandemic in the US, understanding the amount of time that is required for lock down measures when a suppression strategy is adopted.
A Triangle Suppression model of COVID-19
Model Simple COVID-19.ana covid, covid-19, coronavirus, corona, epidemic
Explores possible COVID-19 Coronavirus scenarios from the beginning of March, 2020 through the end of 2020 in the US.
COVID-19 Coronavirus SICR progression for 2020
Model US COVID-19 Data.ana covid, covid-19, coronavirus, corona, epidemic, death, infection
Reads in COVID-19 data from the New York Times and transforms it into a form that is convenient to work with in Analytica.
COVID-19 Case and Death data for US states and counties
Model Voluntary vs mandatory testing.ana covid, covid-19, coronavirus, corona, epidemic
Computes the rate of infection in scenarios when COVID-19 testing is required/optional,based on prevalence rates, test accuracies and voluntary testing rates.
Mandatory vs Voluntary testing policies
Model Included with software
Takes typical bond purchase inputs (purchase price, par value, interest rate, and life to maturity) and calculates bond cash flows, current yield, and yield to maturity.
Bond Model
Model Included with software
Example of a breakeven analysis of a set of revenue levels, when the fixed expenses are set at one amount and the variable expenses are a constant fraction of revenue.
Breakeven Analysis
Model Included with software
Evaluates and compares the expected commercialization value of multiple proposed R&D projects.
Expected R&D Project Value
Model Included with software
Financial Statement Templates
Model Included with software
Explores a market for a new product, and the pricing and advertising budget decisions involved.
Market Model
Model Included with software
Takes input data for activity paths required to complete a project, and calculates various outputs describing the critical path, timing, and costs for project completion.
Plan_Schedule_ Control
Model Included with software
Evaluates and prioritizes a portfolio of projects based on either the estimated net present value or a multi-attribute score, based on strategy fit, staff development, the generation of public goodwill, and estimated net revenue.
Project Portfolio Planner
Model Included with software
Sales Effectiveness
Model Included with software
Subscriber Pricing
Model Included with software
Demonstrates the use of a waterfall chart to visualize the components of an earnings stream from an asset.
Waterfall chart
Model Included with software
Demonstrates how a distribution for an estimated statistic can be obtained by resampling repeatedly.
Bootstrapping
Model Included with software
Example of scatter plots in Analytica.
Kmeans Clustering
Model Included with software
Demonstrates the use of Logistic and Probit regression to fit a generalized linear model to breast cancer data.
Logistic regression prior selection
Model Included with software
Moving Average Example
Model Included with software
Multidimensional Scaling
Model Included with software
Principle Components
Model Included with software
Regression Examples
Model Included with software
Example of how to decide where to throw a party. Shows how to model a two-branch decision tree in Analytica.
Two Branch Party Tree
Model Included with software
Uses the beta distribution for the Bayesian update of beliefs about the probability that a coin will come up heads.
Beta Updating
Model Included with software
Multi-project R&D evaluation models a typical R&D decision problem that might be faced by a biogenetic company.
Biotech R&D Portfolio
Model Included with software
Diversification Illustration
Model Included with software
Expected Value of Sampling Information (EVSI)
Model Included with software
Gibbs Sampling in Bayesian Network
Model Included with software
Models R&D decision analysis for investment strategy among several choices of powerplants for a low emissions vehicle (LEV).
LEV R&D Strategy
Model Included with software
Demonstrates a marginal benefit/cost analysis to determine the policy alternative that leads to the most economically efficient level of cleanup.
Marginal Analysis for Control of SO2 Emissions
Model Included with software
Example of a multi-attribute utility analysis for cars, showing how to analyze an array of cars across an array of attributes, where different drivers assign differing weights to the importance of each attribute.
Multi-attribute Utility Analysis
Model Included with software
Newton-Raphson Method
Model Included with software
Uses decision tree terminology to provide an example asymmetric decision tree in Analytica.
Nonsymmetric Tree
Model Included with software
Party With Forecast
Model Included with software
Plane catching decision with EVIU
Model Included with software
Probability of Gaussian Region (Importance Sampling)
Model Included with software
Calculates the required supply level to maximize profit when the profit function is asymmetric around the average demand value.
Supply and Demand
Model Included with software
Tornado Diagrams
Model Included with software
Represents a decision often faced in today’s world: which technology to purchase now, in the face of uncertain future products and prices.
Upgrade Decision
Model Included with software
Forecasts the population of fish and the establishment of a contagious viral disease within the population over time.
Disease establishment
Model Included with software
Levels staff efforts over time according to staff available, computing both the work done over time and idle time.
Leveling
Model Included with software
Demonstrates how to simulate a Markov process using dynamic time. The example estimates the number of hospital patients over time, modeled as a Markov process.
Markov Chain
Model Included with software
Mass-Spring-Damper
Model Included with software
Models a mean-reverting price process, along with a trading strategy to "beat the market". It demonstrates the encoding of a Markov Decision Process.
Mean-reversion trading
Model Included with software
Minimal edit distance
Model Included with software
Optimal Path Dynamic Programming
Model Included with software
Parking Space Selection
Model Included with software
Projectile Motion
Model Included with software
Tunnel through earth
Model Included with software
Example of a dynamic variable that calculates growth over time, where Time is defined with unequal time steps. It is an example of exponential or linear growth or decay.
Unequal time steps
Model Included with software
Curve fits noisy time-sequence data using an adaptive filter.
Adaptive Filter
Model Included with software
Calculates the expected gain of an antenna looking at two different satellites.
Antenna Gain
Model Included with software
Computes the load that a Douglas-Fir Large compression post can support.
Compression Post Load Capacity
Model Included with software
Demonstration showing how to analyze life cycle costs and savings from daylighting options in building design.
Daylight Analyzer
Model Included with software
Failure Analysis
Model Included with software
Ideal Gas Law
Model Included with software
Power dispatch
Model Included with software
Regular polygon calculator
Model Included with software
Find Words Game
Model Included with software
Fractals everywhere
Model Included with software
Probability assessment
Model Included with software
Abstracted Subset
Model Included with software
Assignment from Button
Model Included with software
Calculates the auto-correlation coefficients of noisy time sequence data.
Autocorrelation
Model Included with software
Choice and Determtables
Model Included with software
Correlated Distributions
Model Included with software
Correlated Normals
Model Included with software
DBWrite Example
Model Included with software
Discrete Sampling
Model Included with software
Demonstrates how to extract a diagonal from a matrix.
Extracting Diagonal
Model Included with software
Lookup Reindexing
Model Included with software
Map images from internet
Model Included with software
Sample Size Input Node
Model Included with software
Sorting People by Height
Model Included with software
Creates a subset array out of a larger array based on a decision criterion.
Subset of Array
Model Included with software
Swaps a computed or one-dimensional table value with its index, thereby making the computed value an index.
Swapping y and x-index
Model Included with software
Use of MDTable
Model Included with software
Airline NLP
Model Included with software
Asset allocation
Model Included with software
Automobile Production
Model Included with software
Beer Distribution LP
Model Included with software
Big Mac Attack
Model Included with software
Example of capital budgeting for four possible projects, where the objective is to decide which projects to choose in order to maximize the total return.
Capital Investment
Model Included with software
Diagnosing an infeasible set of linear constraints.
Infeasible
Model Included with software
Linear program to determine which product variants to produce and how labor should be allocated among the various production steps based on the workers’ skill sets.
Labor production allocation
Model Included with software
Demonstration of a grouped-integer domain. Fill in a square with the digits 1 through n2 such that the rows and columns all sum to the same value.
Magic Square
Model Included with software
NLP with Jacobian
Model Included with software
Optimal can dimensions
Model Included with software
Optimal Production Allocation
Model Included with software
Allocate planes to origin/destination legs to maximize gross margin.
Plane allocation LP
Model Included with software
1-D example illustrating local the problem of local optima.
Polynomial NLP
Model Included with software
Problems with Local Optima
Model Included with software
Production Planning LP
Model Included with software
Example of a quadratically constrained optimization problem with a quadratic objective function.
Quadratic Constraints
Model Included with software
Demonstrates how an nonlinear programming formulation can be used to solve a non- linear equation.
Solve using NLP
Model Included with software
Find a solution to a Sudoku puzzle.
Sudoku with Optimizer
Model Included with software
Find a minimal length tour through a set of cites.
Traveling salesman
Model Included with software
Two Mines Model
Model Included with software
Vacation plan with PWL tax
Model Included with software
Projects cost assessments of damage resulting from large earthquakes over time. It demonstrates risk analysis with time-dependence and costs of events shifted over time.
Earthquake expense risk
Model Included with software
Compares the value of various policies for restraints on occupants of automobiles.
Seat belt safety
Model Included with software
Demonstrates risk/benefit analysis, in this case regarding the benefits of reducing the emissions of fictitious air pollutant TXC.
Txc
Model Included with software
Rent vs Buy Model
Model Included with software
Rent vs Buy Analysis
Model Included with software
Car cost
Model Included with software
Car cost model ch 4
Model Included with software
Car cost model ch 5
Model Included with software
Hares sub-module - act I
Model Included with software
Foxes and hares sub-modules - act II
Model Included with software
Foxes and hares act III
Model Included with software
Demonstrate the building blocks for creating and editing variable definitions — expressions, standard operators, and mathematical functions.
Expression Examples
Model Included with software
Input and Output Nodes
Model Included with software
Examples in this model demonstrate the basics of working with multidimensional arrays.
Array Examples
Model Included with software
Examples in this model demonstrate many more of Analytica’s built-in array functions.
Array Function Examples
Model Included with software
Analyzing Unc & Sens
Model Included with software
Continuous Distributions
Model Included with software
Discrete Distributions
Model Included with software
Dynamic model that finds the downward velocity and position of a dropped object over a six second time period.
Dynamic & Dependencies
Model Included with software
Dynamic & Uncertainty
Model Included with software
Simple dynamic model, with one variable that changes over time. This example finds the gasoline price for each of five years, assuming a 5% growth rate.
Dynamic Example 1
Model Included with software
Slight increase in complexity over Dynamic Example 1. Instead of assuming a fixed inflation rate, this example, looks at the price with three different inflation rates for comparison.
Dynamic Example 2
Model Included with software
Illustrates a dynamic loop involving simultaneous recurrences over two distinct indexes.
Dynamic on multiple indexes
Model Included with software
Dynamic on non-Time index
Library Included with software
Functions that convert between binary, octal, decimal integer and hexadecimal values.
Base conversion library
Library Included with software
Bayes Function
Library Included with software
Complex Library
Library Included with software
Concatenation
Library Included with software
Data Statistics Library
Library Included with software
Distribution Densities
Library Included with software
Contains various functions for defining standard distributions using different sets of parameters.
Distribution Variations
Library Included with software
Expand Index
Library Included with software
Financial Library
Library Included with software
Provides functions for writing data to and from flat files, particularly between two- dimensional tables and comma-separated value (CSV) files.
Flat File Library
Library Included with software
Garbage Bin Library
Library Included with software
Generalized Regression
Library Included with software
Linked List Library
Library Included with software
Contains functions for creating several multivariate distributions.
Multivariate Distributions Library
Library Included with software
ODBC-Library
Library Included with software
Optimization functions
Library Included with software
See which variables and functions are taking most of the computation time when running your model.
Performance Profiler
Library Included with software
Structured Optimization Tools
Comments


You are not allowed to post comments.