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The Projected Subgradient Algorithm in Convex Optimization - eBook de Alexander J. Zaslavski

The Projected Subgradient Algorithm in Convex Optimization

Alexander J. Zaslavski
Mathematics and Statistics (R0)

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  • Idioma:English
  • ISBN:9783030603007
  • Fecha de lanzamiento:26 nov 2020
  • Editorial:Springer International Publishing
  • Edición:Springer
  • Formato de archivo:EPUB3
  • Tamaño de archivo:2.33 MB
  • Opciones de descarga:EPUB3 (Adobe DRM)

En esta serie

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Optimization on Solution Sets of Common Fixed Point Problems

Alexander J. Zaslavski

Approximate Solutions of Common Fixed-Point Problems

Alexander J. Zaslavski

Algorithms for Solving Common Fixed Point Problems

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Discrete-Time Optimal Control and Games on Large Intervals

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Turnpike Phenomenon for Markov Decision Processes

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Convex Optimization with Computational Errors

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Stability of the Turnpike Phenomenon in Discrete-Time Optimal Control Problems

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Turnpike Phenomenon and Infinite Horizon Optimal Control

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Approximate Fixed Points of Nonexpansive Mappings

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Turnpike Theory of Continuous-Time Linear Optimal Control Problems

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Optimal Control Problems Arising in Forest Management

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Structure of Solutions of Variational Problems

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Solutions of Fixed Point Problems with Computational Errors

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Nonconvex Optimal Control and Variational Problems

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Turnpike Theory for the Robinson–Solow–Srinivasan Model

Alexander J. Zaslavski

Structure of Approximate Solutions of Optimal Control Problems

Alexander J. Zaslavski

Turnpike Phenomenon and Symmetric Optimization Problems

Alexander J. Zaslavski

Optimization in Banach Spaces

Alexander J. Zaslavski

Turnpike Phenomenon in Metric Spaces

Alexander J. Zaslavski

Numerical Optimization with Computational Errors

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The Krasnoselskii-Mann Method for Common Fixed Point Problems

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Turnpike Conditions in Infinite Dimensional Optimal Control

Alexander J. Zaslavski