Numerical Optimization with Computational Errors

Nonfiction, Science & Nature, Mathematics, Number Systems, Calculus
Cover of the book Numerical Optimization with Computational Errors by Alexander J. Zaslavski, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Alexander J. Zaslavski ISBN: 9783319309217
Publisher: Springer International Publishing Publication: April 22, 2016
Imprint: Springer Language: English
Author: Alexander J. Zaslavski
ISBN: 9783319309217
Publisher: Springer International Publishing
Publication: April 22, 2016
Imprint: Springer
Language: English

This book studies the approximate solutions of optimization problems in the presence of computational errors. A number of results are presented on the convergence behavior of algorithms in a Hilbert space; these algorithms are examined taking into account computational errors. The author illustrates that algorithms generate a good approximate solution, if computational errors are bounded from above by a small positive constant. Known computational errors  are examined with the aim of determining an approximate solution. Researchers and students interested in the optimization theory and its applications will find this book instructive and informative.

 

This monograph contains 16 chapters; including a chapters devoted to the subgradient projection algorithm, the mirror descent algorithm, gradient projection algorithm, the Weiszfelds method, constrained convex minimization problems, the convergence of a proximal point method in a Hilbert space, the continuous subgradient method, penalty methods and Newton’s method.

  

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book studies the approximate solutions of optimization problems in the presence of computational errors. A number of results are presented on the convergence behavior of algorithms in a Hilbert space; these algorithms are examined taking into account computational errors. The author illustrates that algorithms generate a good approximate solution, if computational errors are bounded from above by a small positive constant. Known computational errors  are examined with the aim of determining an approximate solution. Researchers and students interested in the optimization theory and its applications will find this book instructive and informative.

 

This monograph contains 16 chapters; including a chapters devoted to the subgradient projection algorithm, the mirror descent algorithm, gradient projection algorithm, the Weiszfelds method, constrained convex minimization problems, the convergence of a proximal point method in a Hilbert space, the continuous subgradient method, penalty methods and Newton’s method.

  

More books from Springer International Publishing

Cover of the book Lewis Swift by Alexander J. Zaslavski
Cover of the book Software Engineering Research, Management and Applications by Alexander J. Zaslavski
Cover of the book Urological and Gynaecological Chronic Pelvic Pain by Alexander J. Zaslavski
Cover of the book Management of Complications in Refractive Surgery by Alexander J. Zaslavski
Cover of the book Boundary and Interior Layers, Computational and Asymptotic Methods BAIL 2016 by Alexander J. Zaslavski
Cover of the book Corrosion Problems and Solutions in Oil Refining and Petrochemical Industry by Alexander J. Zaslavski
Cover of the book Risk Assessment and Risk-Driven Testing by Alexander J. Zaslavski
Cover of the book US-China Rivalry and Taiwan's Mainland Policy by Alexander J. Zaslavski
Cover of the book Children's Rights and Social Work by Alexander J. Zaslavski
Cover of the book 5G Wireless Systems by Alexander J. Zaslavski
Cover of the book Essentials of Regional Anesthesia by Alexander J. Zaslavski
Cover of the book Analytic and Probabilistic Approaches to Dynamics in Negative Curvature by Alexander J. Zaslavski
Cover of the book Virtue and Responsibility in Policy Research and Advice by Alexander J. Zaslavski
Cover of the book First Light and Beyond by Alexander J. Zaslavski
Cover of the book Nonlinear Systems, Vol. 1 by Alexander J. Zaslavski
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy