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The Linearization Method for Constrained Optimization
Boris N. Pshenichnyj
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Description for The Linearization Method for Constrained Optimization
Paperback. Translator(s): Wilson, S.S. Series: Springer Series in Computational Mathematics. Num Pages: 158 pages, 6 black & white tables, biography. BIC Classification: GPFC; KCA; PBKQ; PBKS; TBJ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 8. Weight in Grams: 260.
Techniques of optimization are applied in many problems in economics, automatic control, engineering, etc. and a wealth of literature is devoted to this subject. The first computer applications involved linear programming problems with simp- le structure and comparatively uncomplicated nonlinear pro- blems: These could be solved readily with the computational power of existing machines, more than 20 years ago. Problems of increasing size and nonlinear complexity made it necessa- ry to develop a complete new arsenal of methods for obtai- ning numerical results in a reasonable time. The lineariza- tion method is one of the fruits of this research of ... Read more
Techniques of optimization are applied in many problems in economics, automatic control, engineering, etc. and a wealth of literature is devoted to this subject. The first computer applications involved linear programming problems with simp- le structure and comparatively uncomplicated nonlinear pro- blems: These could be solved readily with the computational power of existing machines, more than 20 years ago. Problems of increasing size and nonlinear complexity made it necessa- ry to develop a complete new arsenal of methods for obtai- ning numerical results in a reasonable time. The lineariza- tion method is one of the fruits of this research of ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
158
Condition
New
Series
Springer Series in Computational Mathematics
Number of Pages
150
Place of Publication
Berlin, Germany
ISBN
9783642634017
SKU
V9783642634017
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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