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portada Practical Mathematical Optimization: Basic Optimization Theory and Gradient-Based Algorithms
Type
Physical Book
Author
Publisher
Year
2018
Language
English
Pages
372
Format
Hardcover
Dimensions
24.0 x 16.3 x 2.7 cm
Weight
0.72 kg.
ISBN13
9783319775852
Edition No.
0002
Categories

Practical Mathematical Optimization: Basic Optimization Theory and Gradient-Based Algorithms

Jan A. Snyman (Author) · Daniel N. Wilke (Author) · Springer · Hardcover

Practical Mathematical Optimization: Basic Optimization Theory and Gradient-Based Algorithms - Snyman, Jan A. ; Wilke, Daniel N.

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Synopsis "Practical Mathematical Optimization: Basic Optimization Theory and Gradient-Based Algorithms"

This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.

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The binding of this edition is Hardcover.

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