Description
Book Synopsis: The third edition of the book is a thoroughly rewritten version of the 1999 2nd edition. New material was included, some of the old material was discarded, and a large portion of the remainder was reorganized or revised.
This book provides a comprehensive and accessible presentation of algorithms for solving continuous optimization problems. It relies on rigorous mathematical analysis, but also aims at an intuitive exposition that makes use of visualization where possible. It places particular emphasis on modern developments, and their widespread applications in fields such as large-scale resource allocation problems, signal processing, and machine learning.
The book was developed through instruction at MIT, focuses on nonlinear and other types of optimization: iterative algorithms for constrained and unconstrained optimization, Lagrange multipliers and duality, large scale problems, and the interface between continuous and discrete optimization. Among its special features, the book:
- provides extensive coverage of iterative optimization methods within a unifying framework
- provides a detailed treatment of interior point methods for linear programming
- covers in depth duality theory from both a variational and a geometrical/convex analysis point of view
- includes much new material on a number of topics, such as neural network training, large-scale optimization, signal processing, machine learning, and optimal control
- includes a large number of examples and exercises detailed solutions of many of which are posted on the internet.
Much supplementary/support material can be found at the publisher's and the author's web sites. Read more
Details
Are you ready to take your optimization skills to the next level? Look no further than our highly acclaimed book, Nonlinear Programming: 3rd Edition. With a thorough rewrite of the previous edition, this book is packed with new material, improved explanations, and practical applications. It doesn't just teach you algorithms - it provides a comprehensive and accessible presentation that combines rigorous mathematical analysis with intuitive explanations. Whether you're dealing with large-scale resource allocation problems or diving into machine learning, this book has got you covered.
Developed through instruction at MIT, Nonlinear Programming: 3rd Edition covers a wide range of optimization techniques. From iterative algorithms for both constrained and unconstrained optimization to the insightful perspectives of duality theory, this book offers a unifying framework that will expand your understanding. You'll also find an extensive treatment of interior point methods for linear programming, ensuring you have all the tools you need to tackle complex problems.
This third edition of Nonlinear Programming goes beyond traditional content with exciting new material on topics like neural network training, signal processing, machine learning, and optimal control. Plus, you'll benefit from the large number of examples and exercises included in the book, with detailed solutions available online. To access even more supplementary materials, visit our website and the author's site!
Don't miss your chance to enhance your optimization knowledge and stay at the forefront of modern developments. Get your hands on Nonlinear Programming: 3rd Edition today and elevate your problem-solving skills to new heights. Click here to order now!
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