Ebook: Practical Mathematical Optimization: Basic Optimization Theory and Gradient-Based Algorithms
Author: Jan A Snyman Daniel N Wilke
- Tags: Operations Research, Processes & Infrastructure, Business & Money, Computer Science, AI & Machine Learning, Bioinformatics, Computer Simulation, Cybernetics, Human-Computer Interaction, Information Theory, Robotics, Systems Analysis & Design, Computers & Technology, Algorithms, Data Structures, Genetic, Memory Management, Programming, Computers & Technology, Mathematical & Statistical, Software, Computers & Technology, Applied, Biomathematics, Differential Equations, Game Theory, Graph Theory, Linear Programming, Probabili
- Series: Springer Optimization and Its Applications
- Year: 2018
- Publisher: Springer
- Edition: 2nd ed. 2018
- Language: English
- pdf
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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