Abstract
Fully describes optimization methods that are currently most valuable in solving real-life problems. Since optimization has applications in almost every branch of science and technology, the text emphasizes their practical aspects in conjunction with the heuristics useful in making them perform more reliably and efficiently. To this end, it presents comparative numerical studies to give readers a feel for possibile applications and to illustrate the problems in assessing evidence. Also provides theoretical background which provides insights into how methods are derived. This edition offers rev
Keywords
Nonlinear programmingSequential quadratic programmingConstrained optimizationMathematical optimizationQuadratic programmingOptimization problemLinear-fractional programmingActive set methodComputer scienceContinuous optimizationMathematicsGlobal optimizationNotationLinear programmingNonlinear systemMulti-swarm optimization
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Publication Info
- Year
- 2000
- Type
- book
- Citations
- 6403
- Access
- Closed
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Cite This
R. Ian Fletcher
(2000).
Practical Methods of Optimization.
.
https://doi.org/10.1002/9781118723203
Identifiers
- DOI
- 10.1002/9781118723203