This text for the advanced student illustrates the theory and application of optimization, a method of automatically adjusting design variables to improve a result. It stresses the application of the method towards the design of electrical circuits and networks, and explains the mathematical basis of optimization, points out the most successful techniques and develops the skills to read and digest the vast amount of literature written on optimization. Thirty-three BASIC computer programs in Microsoft R Basic that provide hands-on experience with the mathematics and computational procedures of optimization are presented, whilst in addition the book shows how to produce useful answers quickly, while developing a feel for fundamental concepts in matrix algebra, calculus and nonlinear programming. Confusing abstractions are avoided and reviews of the broad range of essential topics of matrix algebra by concrete examples and illustrations are also provided.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
illustrations, bibliography, index
Maße
Höhe: 230 mm
Breite: 150 mm
Gewicht
ISBN-13
978-0-471-81863-2 (9780471818632)
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Schweitzer Klassifikation
Matrix Algebra and Algorithms; Functions of Many Variables; Newton Methods; Quasi-Newton Methods and Constraints; Network Optimization; Appendix A: Test Matrices; Appendix B: Test Problems; Appendix C: Program Listings; Index.