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

The Projected Subgradient Algorithm in Convex Optimization

Alexander J. Zaslavski
Mathematics and Statistics (R0)

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About this book

  • Language:English
  • ISBN:9783030603007
  • Release date:Nov 26, 2020
  • Publisher:Springer International Publishing
  • Imprint:Springer
  • File format:EPUB3
  • File size:2.33 MB
  • Download options:EPUB3 (Adobe DRM)

In this series

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Turnpike Theory of Continuous-Time Linear Optimal Control Problems

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Approximate Fixed Points of Nonexpansive Mappings

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Turnpike Phenomenon and Symmetric Optimization Problems

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Optimization on Solution Sets of Common Fixed Point Problems

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

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Structure of Solutions of Variational Problems

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Turnpike Conditions in Infinite Dimensional Optimal Control

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Nonconvex Optimal Control and Variational Problems

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Turnpike Phenomenon for Markov Decision Processes

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Numerical Optimization with Computational Errors

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The Krasnoselskii-Mann Method for Common Fixed Point Problems

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Structure of Approximate Solutions of Optimal Control Problems

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Turnpike Phenomenon in Metric Spaces

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Convex Optimization with Computational Errors

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Optimal Control Problems Arising in Forest Management

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Approximate Solutions of Common Fixed-Point Problems

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Algorithms for Solving Common Fixed Point Problems

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Turnpike Theory for the Robinson–Solow–Srinivasan Model

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Turnpike Phenomenon and Infinite Horizon Optimal Control

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Solutions of Fixed Point Problems with Computational Errors

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Optimization in Banach Spaces

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Discrete-Time Optimal Control and Games on Large Intervals

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