Convex optimization algorithms

Convex optimization algorithms

by Bertsekas, Dimitri P.

Type Book
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Title Statements

  • Full title :Convex optimization algorithms / Dimitri P. Bertsekas, Massachusetts Institute of Technology.

Edition Statements

  • Publication Date:2015

Publication Statements

  • Publisher(s):Athena Scientific
  • Place of Publication:Belmont, Mass
  • Language:eng
  • Publication Date:2015

The Physical Object

  • Description:xii, 564 pages : : illustrations ; : 25 cm.

Edition Identifiers

  • ISBN:9781886529281, 1886529280
  • oclc:ocn908095154
  • LC Classification:QA402.5
  • Dewey Decimal:519.6

Table of Contents

Machine generated contents note: 1.Convex Optimization Models: An Overview -- 1.1.Lagrange Duality -- 1.1.1.Separable Problems -- Decomposition -- 1.1.2.Partitioning -- 1.2.Fenchel Duality and Conic Programming -- 1.2.1.Linear Conic Problems -- 1.2.2.Second Order Cone Programming -- 1.2.3.Semidefinite Programming -- 1.3.Additive Cost Problems -- 1.4.Large Number of Constraints -- 1.5.Exact Penalty Functions -- 1.6.Notes, Sources, and Exercises -- 2.Optimization Algorithms: An Overview -- 2.1.Iterative Descent Algorithms -- 2.1.1.Differentiable Cost Function Descent -- Unconstrained Problems -- 2.1.2.Constrained Problems -- Feasible Direction Methods -- 2.1.3.Nondifferentiable Problems -- Subgradient Methods -- 2.1.4.Alternative Descent Methods -- 2.1.5.Incremental Algorithms -- 2.1.6.Distributed Asynchronous Iterative Algorithms -- 2.2.Approximation Methods -- 2.2.1.Polyhedral Approximation -- 2.2.2.Penalty, Augmented Lagrangian, and Interior Point Methods

Note continued: 2.2.3.Proximal Algorithm, Bundle Methods, and Tikhonov Regularization -- 2.2.4.Alternating Direction Method of Multipliers -- 2.2.5.Smoothing of Nondifferentiable Problems -- 2.3.Notes, Sources, and Exercises --…

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