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Conjugate Gradient Algorithms in Nonconvex Optimization
Radoslaw Pytlak
€ 196.12
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Description for Conjugate Gradient Algorithms in Nonconvex Optimization
Paperback. This book details algorithms for large-scale unconstrained and bound constrained optimization. It shows optimization techniques from a conjugate gradient algorithm perspective as well as methods of shortest residuals, which have been developed by the author. Series: Nonconvex Optimization and Its Applications. Num Pages: 504 pages, 26 black & white tables, biography. BIC Classification: KJT; PBKQ; TGPQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 25. Weight in Grams: 765.
Conjugate direction methods were proposed in the early 1950s. When high speed digital computing machines were developed, attempts were made to lay the fo- dations for the mathematical aspects of computations which could take advantage of the ef?ciency of digital computers. The National Bureau of Standards sponsored the Institute for Numerical Analysis, which was established at the University of California in Los Angeles. A seminar held there on numerical methods for linear equationswasattendedbyMagnusHestenes, EduardStiefel andCorneliusLanczos. This led to the ?rst communication between Lanczos and Hestenes (researchers of the NBS) and Stiefel (of the ETH in Zurich) on the conjugate direction ... Read more
Conjugate direction methods were proposed in the early 1950s. When high speed digital computing machines were developed, attempts were made to lay the fo- dations for the mathematical aspects of computations which could take advantage of the ef?ciency of digital computers. The National Bureau of Standards sponsored the Institute for Numerical Analysis, which was established at the University of California in Los Angeles. A seminar held there on numerical methods for linear equationswasattendedbyMagnusHestenes, EduardStiefel andCorneliusLanczos. This led to the ?rst communication between Lanczos and Hestenes (researchers of the NBS) and Stiefel (of the ETH in Zurich) on the conjugate direction ... Read more
Product Details
Format
Paperback
Publication date
2010
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
504
Condition
New
Series
Nonconvex Optimization and Its Applications
Number of Pages
478
Place of Publication
Berlin, Germany
ISBN
9783642099250
SKU
V9783642099250
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Conjugate Gradient Algorithms in Nonconvex Optimization
From the reviews: "The book describes important algorithms for the numerical treatment of unconstrained nonlinear optimization problems with many variables. … This monograph is suitable as a text for a graduate course in computational optimization. It is useful to anyone active in this field. … This book is well written and well organized. The argument is clear. Lists of ... Read more