Title
Introduction To Minimax (Dover Books On Mathematics)
Processing time: 1-3 days
US Orders Ships in: 3-5 days
International Orders Ships in: 8-12 days
Return Policy: 15-days return on defective items
Payment Option
This Userfriendly Text Offers A Thorough Introduction To The Part Of Optimization Theory That Lies Between Approximation Theory And Mathematical Programming, Both Linear And Nonlinear. Written By Two Distinguished Mathematicians, The Expert Treatment Covers The Essentials, Incorporating Important Background Materials, Examples, And Extensive Notes.Geared Toward Advanced Undergraduate And Graduate Students Of Mathematical Programming, The Text Explores Best Approximation By Algebraic Polynomials In Both Discrete And Continuous Cases; The Discrete Problem, With And Without Constraints; The Generalized Problem Of Nonlinear Programming; And The Continuous Minimax Problem. Several Appendixes Discuss Algebraic Interpolation, Convex Sets And Functions, And Other Topics. 1974 Edition.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does this book have? A: This book contains three hundred twenty pages. It provides a comprehensive overview of optimization theory and its applications.
- Q: What are the dimensions of this book? A: The book measures six point five four inches in length, zero point six three inches in width, and nine point two five inches in height. Its compact size makes it easy to handle.
- Q: What is the binding type of this book? A: This book is available in paperback binding. This makes it lightweight and portable for easy reading.
- Q: Who is the author of this book? A: The author of this book is V. F. Dem’yanov. He is recognized for his contributions to the field of mathematics.
- Q: What is the main subject of this book? A: The main subject of this book is optimization theory. It covers topics between approximation theory and mathematical programming.
- Q: Is this book suitable for beginners? A: No, this book is geared toward advanced undergraduate and graduate students. It requires a foundational understanding of mathematical concepts.
- Q: Can I use this book for self-study? A: Yes, this book can be used for self-study. It includes important background materials and examples to aid understanding.
- Q: Is this book appropriate for high school students? A: No, this book is not appropriate for high school students. It targets individuals with more advanced mathematical knowledge.
- Q: Are there any exercises or problems in this book? A: Yes, the book includes extensive notes and examples. However, it may not have traditional exercises like some textbooks.
- Q: How should I store this book to keep it in good condition? A: Store this book upright on a shelf in a cool, dry place. Avoid exposure to direct sunlight to prevent fading.
- Q: Can I clean the cover of the book? A: Yes, you can wipe the cover with a soft, dry cloth. Avoid using any liquids that may damage the paper.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact the seller for a return or replacement. Most sellers have clear return policies.
- Q: Is this book suitable for someone studying nonlinear programming? A: Yes, the book includes discussions on nonlinear programming. It covers both linear and nonlinear optimization problems.
- Q: Does this book include appendices for additional information? A: Yes, several appendices discuss topics like algebraic interpolation and convex sets. They provide supplementary information for deeper understanding.
- Q: What year was this book published? A: This book was published in nineteen seventy-four. It is a classic text in the field of mathematics.