Kniha Maxima and Minima with Applications - Practical Optimization and Duality Wilfred Kaplan

Maxima and Minima with Applications - Practical Optimization and Duality

Jazyk: Angličtina
Vazba: Pevná
Dostupnost: Skladem u dodavatele
Odesíláme za 10-18 dnů
4 369
This new work by Wilfred Kaplan, the distinguished author of influential mathematics and engineering...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
1998
Stránek
296
EAN
9780471252894
ISBN
0471252891
Enbook ID
04889076
Hmotnost
590
Rozměry
158 x 240 x 22

Kompletní popis

This new work by Wilfred Kaplan, the distinguished author of influential mathematics and engineering texts, is destined to become a classic. Timely, concise, and content-driven, it provides an intermediate-level treatment of maxima, minima, and optimization. Assuming only a background in calculus and some linear algebra, Professor Kaplan presents topics in order of difficulty. In four short chapters, he describes basic concepts and geometric aspects of maxima and minima, progresses to problems with side conditions, introduces optimization and programming, and concludes with an in-depth discussion of research topics involving the duality theorems of Fenchel and Rockafellar. Throughout the text, the subject of convexity is gradually developed-from its theoretical underpinnings to problems, and finally, to its role in applications. Other features include: A strong emphasis on practical applications of maxima and minima An impressive array of supporting topics such as numerical analysis An ample number of examples and problems More than 60 illustrations highlighting the text Algorithms to reinforce concepts An appendix reviewing the prerequisite linear algebra Maxima and Minima with Applications is an ideal text for upper-undergraduate and graduate students taking courses in operations research, management, general engineering, and applied mathematics. It can also be used to supplement courses on linear and nonlinear optimization. This volume's broad scope makes it an excellent reference for professionals wishing to learn more about cutting-edge topics in optimization and mathematical programming.

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