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optimization theory

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optimization theory [‚äp·tə·mə′zā·shən ‚thē·ə·rē]
(mathematics)
The specific methodology, techniques, and procedures used to decide on the one specific solution in a defined set of possible alternatives that will best satisfy a selected criterion; includes linear and nonlinear programming, stochastic programming, and control theory. Also known as mathematical programming.


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Chen, "New Quasi-Newton equation and related methods for unconstrained optimization," Journal of Optimization Theory and Applications, No.
The papers, which represent the contributors' current research, are grouped according to often broad session topics that include modeling and simulation, rough set and data mining, fuzzy system and application, circuit design and system, fuzzy automation, and optimization theory and application.
Mishra, Optimality criteria and duality in multiobjective optimization involving generalized convexity, Journal of Optimization Theory and its Applications.
 
 
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