Name
Title | ||
|---|---|---|
Global Optimization Toolbox for Maple: an introduction with illustrative applications |
Abstract | ||
|---|---|---|
This article presents a concise review of the scientific-technical computing system Maple and its application potentials in Operations Research. The primary emphasis is placed on non-linear optimization models that may be formulated using a broad range of components, including e.g. special functions, integrals, systems of differential equations, deterministic or stochastic simulation, external function calls, and other computational procedures. Such models may have a complicated structure, with possibly a non-convex feasible set and multiple, global and local, optima. We introduce the Global Optimization Toolbox to solve such models in Maple, and illustrate its usage by numerical examples. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1080/10556780600628212 | OPTIMIZATION METHODS & SOFTWARE |
Keywords | Field | DocType |
advanced systems modeling and optimization,Maple,Global Optimization Toolbox,application examples | Maple,Stochastic simulation,Stochastic optimization,Mathematical optimization,Global optimization,Computer science,Special functions,Test functions for optimization,Toolbox,Feasible region | Journal |
Volume | Issue | ISSN |
21 | 4 | 1055-6788 |
Citations | PageRank | References |
5 | 0.64 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| János D. Pintér | 1 | 140 | 16.76 |
| David Linder | 2 | 6 | 1.73 |
| Paulina Chin | 3 | 29 | 2.82 |