Separable Optimization: Theory and Methods: 177 (Springer Optimization and Its Applications)

ISBN-10: 3030784037
ISBN-13: 978-3030784034
Edition: 2nd ed. 2021
Publisher: Springer Nature Switzerland AG

Name: Separable Optimization: Theory and Methods: 177 (Springer Optimization and Its Applications)
SKU: 9783030784034
Availability: InStock

SKU: 9783030784034

Original price was: ₹13,590.45.Current price is: ₹12,231.41.

Discover the latest advancements in separable optimization with this comprehensive second edition from Springer. “Separable Optimization: Theory and Methods” delves into general results, approximation techniques using linear and dynamic programming, and convergent iterative algorithms for convex separable programs. Explore practical applications in stochastic quasigradient methods, numerical approximation of functions, and solving systems of equations. This updated edition features three new chapters on the Knapsack problem and a nonlinear transportation problem, plus new appendices for enhanced coverage. Ideal for researchers, practitioners, and engineers in optimization, artificial intelligence, and machine learning, this book offers a deep dive into separable programming and its cutting-edge theoretical and algorithmic results. It also serves as an excellent textbook for advanced graduate courses.

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Category: Learning & Education Tag: Stefan M. Stefanov