Practical Mathematical Optimization: Basic Optimization Theory And Gradient-Based Algorithms (Springer Optimization And Its Applications, 133)

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.

• | Author: Jan A Snyman, Daniel N Wilke
• | Publisher: Springer
• | Publication Date: Jan 10, 2019
• | Number of Pages: 398 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 3030084868
• | ISBN-13: 9783030084868