Here is the listing of Best reference books on A First Course in Optimization.
|1. “Nonlinear Programming: Theory and Algorithms” by Mokhtar S Bazara, Hanif D Sherali and C M Shetty
Book Review: This book addresses the optimization problem of an objective function in the presence of equality and inequality constraints. The book also provides a general introduction to nonlinear programming along with demonstrative examples and guidelines for model construction. The book contains chapters on topological properties of convex sets, separation, support of convex sets, polyhedral sets, extreme points, algorithms and their convergence which involves presentation of algorithms for solving unconstrained and constrained nonlinear programming problems.
|2. “Practical Optimization” by Philip Gill, Walter Murray, Margaret Wright
Book Review: This book is of great help to the problem solvers who make the best use of optimization software. The problem solvers use existing methods to adapt and modify techniques for various problems. This book contains chapters that are very useful to solve optimization problems. The other topics are used in solving practical optimization problems.
|3. “Nonlinear Programming” by Dimitri Bertsekas
Book Review: This book focuses on nonlinear and various other types of optimization. It also contains iterative algorithms for constrained and unconstrained optimization, lagrange multipliers, large scale problems and duality, continous and discrete optimization interface. The book also provides extensive coverage of iterative optimization methods, detailed analysis of interior linear programming point methods, in depth duality theory coverage, coverage of newer topics like neural network training, discrete time optimal control and large scale optimization.
|4. “Numerical Linear Algebra and Optimization” by Philip Gill, Walter Murray and Margaret Wright|
Sanfoundry Global Education & Learning Series – Best Reference Books!