Thinking in Problems || Convexity and Related Classic Inequalities
✍ Scribed by Roytvarf, Alexander A.
- Book ID
- 120014501
- Publisher
- Birkhäuser Boston
- Year
- 2012
- Tongue
- English
- Weight
- 689 KB
- Edition
- 2013
- Category
- Article
- ISBN
- 0817684069
No coin nor oath required. For personal study only.
✦ Synopsis
This concise, self-contained textbook gives an in-depth look at problem-solving from a mathematician’s point-of-view. Each chapter builds off the previous one, while introducing a variety of methods that could be used when approaching any given problem. Creative thinking is the key to solving mathematical problems, and this book outlines the tools necessary to improve the reader’s technique. The text is divided into twelve chapters, each providing corresponding hints, explanations, and finalization of solutions for the problems in the given chapter. For the reader’s convenience, each exercise is marked with the required background level. This book implements a variety of strategies that can be used to solve mathematical problems in fields such as analysis, calculus, linear and multilinear algebra and combinatorics. It includes applications to mathematical physics, geometry, and other branches of mathematics. Also provided within the text are real-life problems in engineering and technology. Thinking in Problems is intended for advanced undergraduate and graduate students in the classroom or as a self-study guide. Prerequisites include linear algebra and analysis.
📜 SIMILAR VOLUMES
In this paper, by applying new coincidence theorems due to the author, some existence theorems of solutions of abstract generalized variational inequalities and generalized equilibrium problems are proved in generalized convex spaces. These theorems improve and generalize a number of known results i
This concise, self-contained textbook gives an in-depth look at problem-solving from a mathematician’s point-of-view. Each chapter builds off the previous one, while introducing a variety of methods that could be used when approaching any given problem. Creative thinking is the key to solving mathem
The Kantorovich function (x T Ax)(x T A -1 x), where A is a positive definite matrix, is not convex in general. From a matrix or convex analysis point of view, it is interesting to address the question: when is this function convex? In this paper, we prove that the 2-dimensional Kantorovich function