Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Separable Optimization: Theory And MethodsISBN13:9783030784003ISBN10:3030784002Author:Stefanov, Stefan M. (Author)Description:In This Book, The Author Considers Separable Programming And, In Particular, One Of Its Important Cases - Convex Separable Programming Some General Results Are Presented, Techniques Of Approximating The Separable Problem By Linear Programming And Dynamic Programming Are Considered Convex Separable Programs Subject To Inequality Equality Constraint(S) And Bounds On Variables Are Also Studied And Iterative Algorithms Of Polynomial Complexity Are Proposed As An Application, These Algorithms Are Used In The Implementation Of Stochastic Quasigradient Methods To Some Separable Stochastic Programs Numerical Approximation With Respect To I1 And I4 Norms, As A Convex Separable Nonsmooth Unconstrained Minimization Problem, Is Considered As Well Audience: Advanced Undergraduate And Graduate Students, Mathematical Programming Operations Research Specialists Binding:Hardcover, HardcoverPublisher:SpringerPublication Date:2021-09-08Weight:0 lbsDimensions:Number of Pages:403Language:English
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Book Title: Separable Optimization: Theory And Methods
Item Length: 9.3in
Item Width: 6.1in
Author: Stefan M. Stefanov
Publication Name: Separable Optimization : Theory and Methods
Format: Hardcover
Language: English
Publisher: Springer International Publishing A&G
Series: Springer Optimization and Its Applications Ser.
Publication Year: 2021
Type: Textbook
Item Weight: 25.7 Oz
Number of Pages: Xvii, 356 Pages