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.
This book, on the other hand, is the first text to use Mathematica to develop a thorough understanding of optimization algorithms, fully exploiting Mathematica's symbolic, numerical and graphic capabilities.
We thank Brian Hinde, Susan Hodson, Enid Long and David Rhead for their work in developing and testing many of the algorithms described in this book. We are grateful to Greg Dobson, David Fuchs, Stefania Gai, Richard Stone and Wes ...
The Handbook of Global Optimization by Horst and Pardalos (1995) (volume 1) introduced to the optimization techniques ... The Handbook of Test Problems in Local and Global Optimization (Floudas et al., 1999, 2010) contains test problems ...
Pattanamekar, P., Park, D., Rilett, L.R., Lee, J., and Lee, C., Dynamic and stochastic shortest path in transportation networks with two components of travel time uncertainty, Transportation Research Part C: Emerging Technologies, 11, ...
This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models,and pure linear integer models.
This book presents a structured approach to develop mathematical optimization formulations for several variants of facility layout.
A focused presentation of how sparse optimization methods can be used to solve optimal control and estimation problems.
This book is intended to be a teaching aid for students of the courses in Operations Research and Mathematical Optimization for scientific faculties.
A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms.
Solutions are available for instructors. The book also provides suggestions for further reading to help students take the next step to more advanced material.