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Optimization
ISBN-13:
9781498721158
Veröffentl:
2015
Seiten:
466
Autor:
Rajesh Kumar Arora
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
2 - DRM Adobe
Sprache:
Englisch
Beschreibung:
This book presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. It explains how to solve complex optimization problems using gradient-based and stochastic methods. It also describes different architectures to handle multidisciplinary design optimization problems. The author uses MATLAB to solve many practical problems and links the software code to the corresponding algorithms in a user-friendly way. The codes are available on the book's CRC Press web page.
Introduction. 1-D Optimization Algorithms. Unconstrained Optimization. Linear Programming. Guided Random Search Methods. Constrained Optimization. Multiobjective Optimization. Geometric Programming. Multidisciplinary Design Optimization. Integer Programming. Dynamic Programming. Bibliography. Appendices. Index.
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