Difference between revisions of "Optimization Characteristics"
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Although the material in this chapter is not specific to Analytica, it should give users a foundation of knowledge sufficient to understand the basic characteristics of an optimization problem and to understand the mathematical characteristics that define different optimization types. | Although the material in this chapter is not specific to Analytica, it should give users a foundation of knowledge sufficient to understand the basic characteristics of an optimization problem and to understand the mathematical characteristics that define different optimization types. | ||
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+ | ===== Parts of an optimization problem: General Description ===== | ||
+ | The first step in performing an optimization is to formulate the problem appropriately. An optimization problem is defined by four parts: a set of decision variables, an objective function, bounds on the decision variables, and constraints. The formulation looks like this. |
Revision as of 15:12, 12 November 2015
Introduction
Although the material in this chapter is not specific to Analytica, it should give users a foundation of knowledge sufficient to understand the basic characteristics of an optimization problem and to understand the mathematical characteristics that define different optimization types.
Parts of an optimization problem: General Description
The first step in performing an optimization is to formulate the problem appropriately. An optimization problem is defined by four parts: a set of decision variables, an objective function, bounds on the decision variables, and constraints. The formulation looks like this.
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