Bayesian Heuristic Approach to Discrete and Global Optimization - Info and Reading Options
Algorithms, Visualization, Software, and Applications (Nonconvex Optimization and Its Applications)
By Jonas Mockus, J. Mockus, William Eddy and Gintaras Reklaitis
"Bayesian Heuristic Approach to Discrete and Global Optimization" is published by Springer in December 31, 1996, it has 416 pages and the language of the book is English.
“Bayesian Heuristic Approach to Discrete and Global Optimization” Metadata:
- Title: ➤ Bayesian Heuristic Approach to Discrete and Global Optimization
- Authors: Jonas MockusJ. MockusWilliam EddyGintaras Reklaitis
- Language: English
- Number of Pages: 416
- Publisher: Springer
- Publish Date: December 31, 1996
“Bayesian Heuristic Approach to Discrete and Global Optimization” Subjects and Themes:
- Subjects: ➤ Bayesian statistical decision theory - Combinatorial optimization - Heuristic programming - Combinatorics & graph theory - Optimization - Optimization (Mathematical Theory) - Engineering - General - Bayesian Statistics - Mathematics - Science/Mathematics - Linear Programming - Game Theory - Discrete Mathematics - Mathematics / Combinatorics - Mathematics / Game Theory - Mathematics-Discrete Mathematics - Technology-Engineering - General - Bayesian statistical decision
Edition Specifications:
- Format: Hardcover
- Weight: 2 pounds
- Dimensions: 9.7 x 6.4 x 1.1 inches
Edition Identifiers:
- The Open Library ID: OL7808269M - OL18346120W
- ISBN-13: 9780792343271
- ISBN-10: 0792343271
- All ISBNs: 0792343271 - 9780792343271
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