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Practical Optimization : Algorithms and Engineering Applications /

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In recent decades, advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has motivated widespread applications of optimiz...

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Bibliographic Details
Main Authors: Antoniou, Andreas (Author), Lu, Wu-Sheng (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2021.
Edition:2nd ed. 2021.
Series:Texts in Computer Science,
Subjects:
Computer science-Mathematics.
Mathematical optimization.
Mathematics of Computing.
Optimization.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • The Optimization Problem
  • Basic Principles
  • General Properties of Algorithms
  • One-Dimensional Optimization
  • Basic Multidimensional Gradient Methods
  • Conjugate-Direction Methods
  • Quasi-Newton Methods
  • Minimax Methods
  • Applications of Unconstrained Optimization
  • Fundamentals of Constrained Optimization
  • Linear Programming Part I: The Simplex Method
  • Linear Programming Part II: Interior-Point Methods
  • Quadratic and Convex Programming
  • Semidefinite and Second-Order Cone Programming
  • General Nonlinear Optimization Problems
  • Applications of Constrained Optimization.