There are lots of great material on A First Course in Optimization subject in the internet, buts its always a challenge to figure out a ready list of top books on A First Course in Optimization that one can refer to immediately. Even though online materials are good, but nothing can beat the depth of coverage that a book can offer. Hence, we researched the list of A First Course in Optimization books which are used by students worldwide and came up with top 10 Book Recommendations on A First Course in Optimization subject. These books can be used as a great starting point for anyone studying A First Course in Optimization and can also be used as a ready reference for Under-Graduate and Post-Graduate programs.
Most of these A First Course in Optimization books are also in the best-seller lists in Amazon website. We have added a brief description of these best books and have also included direct links to Amazon site (as affiliate). This allows anyone to directly visit the site and order printed copies of these best books.
Here is the full list 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|
|5. “First Course in Optimization” by B, Charles L. Byrne|
|6. “Optimization” by Lange Kenneth Lange|
|7. “Post-Optimal Analysis in Linear Semi-Infinite Optimization” by Goberna Lopez|
|8. “A First Course in Combinatorial Optimization (Cambridge Texts in Applied Mathematics)” by S. H. Davis, Jon Lee, M. J. Ablowitz|
|9. “A First Course in Optimization Theory” by Rangarajan K Sundaram Sundaram Rangarajan K|
|10. “Noisy Optimization with Evolution Strategies (Genetic Algorithms and Evolutionary Computation)” by Dirk V. Arnold|
If any more book needs to be added to the list of best books on A First Course in Optimization Subject, please let us know.
Sanfoundry Global Education & Learning Series – Best Reference Books!