Title
Nonlinear Programming
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This Extensive Rigorous Texbook, 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: 1) Provides Extensive Coverage Of Iterative Optimization Methods Within A Unifying Framework 2) Provides A Detailed Treatment Of Interior Point Methods For Linear Programming 3) Covers In Depth Duality Theory From Both A Variational And A Geometrical/Convex Analysis Point Of View 4) Includes Much New Material On A Number Of Topics, Such As Neural Network Training, Discretetime Optimal Control, And Largescale Optimization 5) 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 Book'S Web Page
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- Q: How many pages does 'Nonlinear Programming' have? A: This book has seven hundred eighty pages. It provides a comprehensive exploration of nonlinear optimization and related topics.
- Q: What is the binding type of this textbook? A: The binding type is hardcover. This ensures durability and a professional appearance for academic use.
- Q: What are the dimensions of 'Nonlinear Programming'? A: The dimensions are six point twenty-six inches in length, one point five inches in width, and nine point zero two inches in height. These measurements make it a manageable size for both reading and storage.
- Q: Who is the author of 'Nonlinear Programming'? A: The author is Dimitri P. Bertsekas. He is well-known for his contributions to optimization and control theory.
- Q: What is the main focus of the textbook? A: The main focus is on nonlinear optimization and various optimization methods. It delves into iterative algorithms and duality theory extensively.
- Q: Is this book suitable for beginners? A: Yes, it is suitable for beginners with a basic understanding of optimization. The book provides clear explanations and numerous examples.
- Q: Can I find solutions to exercises in 'Nonlinear Programming'? A: Yes, detailed solutions to many exercises are available online. This supports self-study and helps reinforce understanding.
- Q: Is 'Nonlinear Programming' good for advanced studies? A: Yes, it is ideal for advanced studies in optimization theory. It covers complex topics such as neural network training and large-scale optimization.
- Q: What special features does this book include? A: The book includes extensive coverage of iterative optimization methods and a detailed treatment of interior point methods. It also features a comprehensive analysis of duality theory.
- Q: Are there any supplementary materials for this textbook? A: Yes, supplementary materials can be found on the book's web page. These resources enhance the learning experience.
- Q: What type of condition is the used book in? A: The book is in good condition. It's suitable for academic use without significant wear.
- Q: What topics does 'Nonlinear Programming' cover? A: It covers topics such as constrained and unconstrained optimization, duality, and large-scale problems. It also includes new material on discrete-time optimal control.
- Q: Is this textbook suitable for self-study? A: Yes, it is suitable for self-study. The clear explanations and online resources support independent learning.
- Q: What is the target audience for this book? A: The target audience includes students, researchers, and professionals in optimization. It caters to both beginners and advanced learners.
- Q: Does this book include examples and exercises? A: Yes, it includes a large number of examples and exercises. Many solutions are provided online, aiding in practice and comprehension.