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Showing posts with label Mathematics. Show all posts
Showing posts with label Mathematics. Show all posts

Vedic Mathematics by Jagadguru Swami Sri



This epoch-making and monumental work on Vedic Mathematics unfolds a new method of approach. It relates to the truth of numbers and magnitudes equally to all sciences and arts. The book brings to light how great and true knowledge is born of intuition, quite different from modern Western method. The ancient Indian method and its secret techniques are examined and shown to be capable of solving various problems of mathematics.


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How To Calculate Quickly



How To Calculate Quickly


Many useful procedures explained and taught: two-column addition, left-to-right subtraction, direct multiplication by numbers greater than 12, mental division of large numbers, more. Also numerous helpful short cuts. More than 8,000 problems, with solutions.

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The mathematics of physics and chemistry: Henry Margenau



The mathematics of physics and chemistry: Henry Margenau
R. E. Krieger Pub. Co | ISBN: 0882754238 | 1976 | djvu (ocr) | 604 pages | 9.05 Mb

Preface:
The authors’ aim has been to present, between the covers of a single book, those parts of mathematics which form the tools of the modern worker in theoretical physics and chemistry. They have endeavored to do this by steering a middle course between the mere recording; of facts and formulas which is typical of handbook treatments, and the ponderous development which characterizes treatises in special fields. Therefore, as far as space permitted, all results have been embedded in the logical texture of proofs. Occasionally, when full demonstrations are lengthy or not particularly illuminating with respect to the subject at hand, they have been omitted in favor of references to the literature. Except for the first chapter, which is primarily a survey, proofs have always been given where omission would destroy the continuity, of treatment.

Arbitrary selection of topics has been necessary for lack of space. This was based partly on the authors’ opinions as to the relevance of various subjects, partly on the results of consultations with colleagues. The degree of difficulty of the treatment is such that a Senior majoring in physics or chemistry would be able to read most parts of the book with understanding.

While inclusion of large collections of routine problems did not seem conformable to the purpose of the book, the authors have felt that its usefulness might be augmented by two minor pedagogical devices: the insertion here and there of fully worked examples illustrative of the theory under discussion, and the dispersal, throughout the book, of special problems confirming, and in some cases supplementing, the ideas of the text. Answers to the problems are usually given.

The degree of rigor to which we have aspired is that customary in careful scientific demonstrations, not the lofty heights accessible to the pure mathematician. For this we make no apology; if the history of the exact sciences teaches anything it is that emphasis on extreme rigor often engenders sterility, and that the successful pioneer depends more on brilliant hunches than on the results of existence theorems. We trust, of course, that our effort to avoid rigor mortis has not brought us dangerously close to the opposite extreme of sloppy reasoning. A careful attempt has been made to insure continuity of presentation within each chapter, and as far as possible throughout the book. The diversity of the subjects has made it necessary to refer occasionally to chapters ahead. Whenever this occurs it is done reluctantly and in order to avoid repetition.

As to form, considerations of literacy have often been given secondary rank in favor of conciseness and brevity, and no great attempt has been made to disguise individual authorship by artificially uniformising the style.

The authors have used the material of several of the chapters in a number of special courses and have found its collection into a single volume convenient. To venture a few specific suggestions, the book, if it were judged favorably by mathematicians, would serve as a foundation for courses in applied mathematics on the senior and first year graduate level. A thorough introductory course in quantum mechanics could be based on chapter 2, parts of 3, 8 and 10, and chapter 11. Chapters 1, 10 and parts of 11 may be used in a short course which reviews thermodynamics and then treats statistical mechanics. Reading of chapters 4, 9, and 15 would prepare for an understanding of special treatments dealing with polyatomic molecules, and the liquid and solid state. Since ability to handle numeri- numerical computations is very important in all branches of physics and chemistry, a chapter designed to familiarize the reader with all tools likely to be needed in such work has been included.

The index has been made sufficiently complete so that the book can serve as a ready reference to definitions, theorems and proofs. Graduate students and scientists whose memory of specific mathematical details is dimmed may find it useful in review. Last, but not least, the authors have had in mind the adventurous student of physics and chemistry who wishes to improve his mathematical knowledge through self-study.


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Practical Foundations of Mathematics (Cambridge Studies in Advanced Mathematics): Paul Taylor


Practical Foundations of Mathematics (Cambridge Studies in Advanced Mathematics): Paul Taylor
Cambridge University Press | ISBN: 0521631076 | 1999-05-13 | PDF (OCR) | 588 pages | 1.38 Mb


Practical Foundations of Mathematics explains the basis of mathematical reasoning both in pure mathematics itself (algebra and topology in particular) and in computer science. In addition to the formal logic, this volume examines the relationship between computer languages and “plain English” mathematical proofs. The book introduces the reader to discrete mathematics, reasoning, and categorical logic. It offers a new approach to term algebras, induction and recursion and proves in detail the equivalence of types and categories. Each idea is illustrated by wide-ranging examples, and followed critically along its natural path, transcending disciplinary boundaries across universal algebra, type theory, category theory, set theory, sheaf theory, topology and programming. Students and teachers of computing, mathematics and philosophy will find this book both readable and of lasting value as a reference work.
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Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice



Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice (International Series in Operations Research & Management Science): : Daniel Bienstock

Springer | ISBN: 1402071736 | 2002 | PDF (OCR) | 110 pages | 4.86 Mb
Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. The book draws on the research developments in three broad areas: linear and integer programming, numerical analysis, and the computational architectures which enable speedy, high-level algorithm design. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems. This work both has roots in fundamental areas of mathematical programming and is also framed in the context of the modern theory of algorithms. The result of this work, in which Daniel Bienstock has been very much involved, has been a family of algorithms with solid theoretical foundations and with growing experimental success. This book will examine these algorithms, starting with some of the very earliest examples, and through the latest theoretical and computational developments.

Breaks ground in linear programming theory. Draws on the research developments in the areas of linear and integer programming, numerical analysis, and high-level algorithm design.

Table of Contents
List of Figures
List of Tables
Preface
1 Introduction
1 Early Algorithms 1
1 The Flow Deviation Method 3
2 The Shahrokhi and Matula Algorithm 13
2 The Exponential Potential Function - Key Ideas 27
1 A basic algorithm for min-max LPs 30
2 Round-robin and randomized schemes for block-angular problems 39
3 Optimization and more general feasibility systems 44
4 Width, revisited 47
5 Alternative potential functions 48
6 A philosophical point: why these algorithms are useful 48
3 Recent Developments 51
1 Oblivious rounding 51
2 Lower bounds for Frank-Wolfe methods 62
3 The algorithms of Garg-Konemann and Fleischer 66
4 Lagrangian Relaxation, Non-Differentiable Optimization and Penalty Methods 69
4 Computational Experiments 73
1 Basic Issues 78
2 Improving Lagrangian Relaxations 83
3 Restricted Linear Programs 86
4 Tightening formulations 88
5 Computational tests 89
6 Future work 101
App.: Frequency Asked Questions 103
References 107
Index 111
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