دانلود کتاب مقدمه ای بر بهینه سازی غیرخطی

The second edition features two significant enhancements to the first edition.

1. Python codes were added on top of the existing MATLAB codes to illustrate and demonstrate different aspects of the algorithmic and applicative nature of nonlinear optimization. Since the first edition’s publication, Python has become one of the leading software languages for scientific computing and is used in many applications, most notably those arising in data science. Readers interested in implementation may choose to follow either the MATLAB or Python codes which appear, sometimes literally, side by side. A new section on the Python module CVXPY (Section 8.5) describes how to solve convex optimization problems using Python.
2. The new edition contains more than 90 new exercises. Final answers to many of the overall 250 exercises were added, as well as more than 70 full and detailed solutions at the end of the chapters, effectively providing many more examples that illustrate the theory and techniques of nonlinear optimization. Exercises with final answers are marked by (o) and those with full solutions are marked by (•).

I hope the new edition will benefit the readers in their journey into the fascinating world of nonlinear optimization.