Global optimization : a stochastic approach

This self-contained monograph presents a new stochastic approach to global optimization problems arising in a variety of disciplines including mathematics, operations research, engineering, and economics. The volume deals with constrained and unconstrained problems and puts a special emphasis on lar...

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שמור ב:
מידע ביבליוגרפי
מחבר ראשי: Schäffler, Stefan
פורמט: Livre numérique
שפה:Anglais
יצא לאור: New York, NY : Springer New York [20..].
Cham : Springer Nature
מהדורה:1st ed. 2012.
סדרה:Springer Series in Operations Research and Financial Engineering
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הערה: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Global optimization, a stochastic approach, Stefan Schäffler, New York (N.Y.), Springer, 2012, 1 vol.(xv-147 p.), Springer Series in Operations Research and Financial Engineering, 978-1-4614-3926-4
• Global optimization, a stochastic approach, Stefan Schäffler, New York (N.Y.), Springer, 2012, 1 vol.(xv-147 p.), Springer Series in Operations Research and Financial Engineering, 978-1-4614-3926-4
• Global Optimization, Texte imprimé, 9781461439288
• Global Optimization, Texte imprimé, 9781489992802
• Global optimization, a stochastic approach, Stefan Schäffler, New York (N.Y.), Springer, 2012, 1 vol.(xv-147 p.), Springer Series in Operations Research and Financial Engineering, 978-1-4614-3926-4
• Global Optimization, Texte imprimé, 9781461439288
• Global Optimization, Texte imprimé, 9781489992802
תיאור
סיכום:This self-contained monograph presents a new stochastic approach to global optimization problems arising in a variety of disciplines including mathematics, operations research, engineering, and economics. The volume deals with constrained and unconstrained problems and puts a special emphasis on large scale problems. It also introduces a new unified concept for unconstrained, constrained, vector, and stochastic global optimization problems. All methods presented are illustrated by various examples. Practical numerical algorithms are given and analyzed in detail.  The topics presented include the randomized curve of steepest descent, the randomized curve of dominated points, the semi-implicit Euler method, the penalty approach, and active set strategies. The optimal decoding of block codes in digital communications is worked out as a case study and shows the potential and high practical relevance of this new approach. Global Optimization: A Stochastic Approach is an elegant account of a refined theory, suitable for researchers and graduate students interested in global optimization and its applications
תאור פריט:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9781461439271
ISSN:2197-1773
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