SIAM Journal on Applied Mathematics, Vol. 30, No. 4 (Jun., 1976), pp. 597-607 (11 pages) We show how first order optimality conditions for a very general nonlinear optimization problem may be derived ...
Abstract: Recently, recurrent neural network (RNN) models have been extensively investigated for addressing time-dependent nonlinear optimization problems. However, few existing RNN models take ...
Abstract: This paper investigates the practical fixed-time distributed optimization problem (DOP) in nonlinear multi-agent networks, where the optimization decision of each agent is subject to global ...
In our competitive global society, successful and economical design of automotive and industrial structures is crucial. Optimizing the geometry of individual pieces of complex machines improves ...
Based on the low-order conforming finite element subspace (Vh,Mh) such as the P₁-P₀ triangle element or the Q₁-P₀ quadrilateral element, the locally stabilized finite element method for the Stokes ...
There are several optimization techniques available in PROC NLMIXED. You can choose a particular optimizer with the TECH=name option in the PROC NLMIXED statement. No algorithm for optimizing general ...
There are three groups of optimization techniques available in PROC NLP. A particular optimizer can be selected with the TECH=name option in the PROC NLP statement. Since no single optimization ...
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