Foundations of Mathematical Optimization: Convex Analysis without Linearity

Foundations of Mathematical Optimization: Convex Analysis without Linearity

by Diethard Ernst Pallaschke, S. Rolewicz

Paperback(Softcover reprint of hardcover 1st ed. 1997)

$169.99
Choose Expedited Shipping at checkout for guaranteed delivery by Friday, April 26

Product Details

ISBN-13: 9789048148004
Publisher: Springer Netherlands
Publication date: 12/07/2010
Series: Mathematics and Its Applications , #388
Edition description: Softcover reprint of hardcover 1st ed. 1997
Pages: 585
Product dimensions: 6.10(w) x 9.25(h) x 0.05(d)

Table of Contents

Preface. 1. General Optimality. 2. Optimization in Metric Spaces. 3. Multifunctions and Marginal Functions in Metric Spaces. 4. Well-Posedness and Weak Well-Posedness in Banach Spaces. 5. Duality in Banach and Hilbert Spaces. Regularization. 6. Necessary Conditions for Optimality and Local Optimality in Normed Spaces. 7. Polynomials. Necessary and Sufficient Conditions of Optimality of Higher Order. 8. Nondifferentiable Optimization. 9. Numerical Aspects. 10. Vector Optimization. Bibliography. Subject Index. Author Index. List of Symbols.

Customer Reviews

Most Helpful Customer Reviews

See All Customer Reviews