Global optimization in Rn with box constraints and applications: A Maple code
Mathematical and Computer Modelling: An International Journal
Computers & Mathematics with Applications
Computers & Mathematics with Applications
Computers & Mathematics with Applications
Non-causal models in long term planning via set contractive optimal control methods
Mathematical and Computer Modelling: An International Journal
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A variant of the beta algorithm based on the cubic algorithm [1,2] is presented for global optimization of Holder continuous functions over general compact sets. The set-monotonic algorithm contains a block for problems with equality constraints, and operates within the unit cube [0,1]^n universal for all problems. On this basis, a MAPLE code of modular structure is developed for full global optimization of functions of n variables. The code does not create ill-conditioned situations. Graphics are included, and the solution set can be visualized in plane projections and sections. The code is ready for engineering applications. Results of numerical experiments are presented, with graphs, to illustrate the use of the code.