
This introductory textbook presents optimization theory and computational algorithms useful in practice. The approach is practical and intuitive, rather than emphasizing mathematical rigor. Computationally oriented books in this area generally present algorithms alone, and expect readers to perform computations by hand. Some books are written in traditional computer languages, such as Basic, Fortran or Pascal. The programs in this text help with computations. This book is the first text to use Mathematica to develop thorough understanding optimization algorithms, fully exploiting Mathematica's symbolic, numerical and graphic capabilities.
Review:
This is my favorite optimisation book. I recommend it to anyone interested in the application of optimisation techniques, in particular for those in industry. This book has been a constant companion in my optimisation adventure and unlike other books; it has helped me firmly establish a solid foundation and understanding on the various optimisation techniques and the theories behind them. Believe me, I can even read those books which I have shelved in the past because they were complicated with too many cryptic mathematical statements. They don't scare me anymore.
Bhatti wisely used Mathematica as the teaching platform and the accompanying OptimizationToolbox software allows one to brush aside the cryptic mathematical statements. The reader can now concentrate on the concepts, relegating the mathematics manipulations to Mat
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