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

✍ Scribed by Jan A Snyman, Daniel N Wilke

Publisher: Springer
Year: 2018
Tongue: English
Leaves: 388
Series: Springer Optimization and Its Applications
Edition: 2nd ed. 2018
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Subjects

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

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