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{ "item_title" : "Totally Convex Functions for Fixed Points Computation and Infinite Dimensional Optimization", "item_author" : [" Dan Butnariu", "D. Butnariu", "A. N. Iusem "], "item_description" : "1: Totally Convex Functions.- 1.1. Convex Functions and Bregman Distances.- 1.2. The Modulus of Total Convexity.- 1.3. Total Versus Locally Uniform Convexity.- 1.4. Particular Totally Convex Functions.- 2: Computation of Fixed Points.- 2.1. Totally Nonexpansive Operators.- 2.2. Totally Nonexpansive Families of Operators.- 2.3. Stochastic Convex Feasibility Problems.- 2.4. Applications in Particular Banach Spaces.- 3: Infinite Dimensional Optimization.- 3.1. A Proximal Point Method.- 3.2. Convergence of the Proximal Point Method.- 3.3. The Basics of a Duality Theory.- 3.4. An Augmented Lagrangian Method.- 3.5. Unconstrained Convex Minimization.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/79/236/287/079236287X_b.jpg", "price_data" : { "retail_price" : "99.00", "online_price" : "99.00", "our_price" : "99.00", "club_price" : "99.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Totally Convex Functions for Fixed Points Computation and Infinite Dimensional Optimization|Dan Butnariu

Totally Convex Functions for Fixed Points Computation and Infinite Dimensional Optimization

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Overview

1: Totally Convex Functions.- 1.1. Convex Functions and Bregman Distances.- 1.2. The Modulus of Total Convexity.- 1.3. Total Versus Locally Uniform Convexity.- 1.4. Particular Totally Convex Functions.- 2: Computation of Fixed Points.- 2.1. Totally Nonexpansive Operators.- 2.2. Totally Nonexpansive Families of Operators.- 2.3. Stochastic Convex Feasibility Problems.- 2.4. Applications in Particular Banach Spaces.- 3: Infinite Dimensional Optimization.- 3.1. A Proximal Point Method.- 3.2. Convergence of the Proximal Point Method.- 3.3. The Basics of a Duality Theory.- 3.4. An Augmented Lagrangian Method.- 3.5. Unconstrained Convex Minimization.

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Details

  • ISBN-13: 9780792362876
  • ISBN-10: 079236287X
  • Publisher: Springer
  • Publish Date: May 2000
  • Dimensions: 9.21 x 6.14 x 0.56 inches
  • Shipping Weight: 1.08 pounds
  • Page Count: 224

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