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Wickelgren - How to Solve Mathematical Problems

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Wickelgren How to Solve Mathematical Problems
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Title Page; Copyright Page; Dedication; Table of Contents; Preface; 1 - Introduction; SCOPE OF THE BOOK; GENERAL VERSUS SPECIAL METHODS; RELATION TO ARTIFICIAL INTELLIGENCE; APPLYING METHODS TO PROBLEMS; 2 - Problem Theory; FOUR SAMPLE PROBLEMS; Instant Insanity; Chess Problem; Find Problem from Mechanics; Proof Problem from Modern Algebra; WHAT IS A PROBLEM?; Givens; Operations; Goals; Implicit Specification of Givens, Operations, and Goals; Incomplete Specification of Givens, Operations and Goals; WHAT IS A PROBLEM STATE?; WHAT IS A SOLUTION?; STATE-ACTION TREE; 3 - Inference; GIVENS.

Numerical PropertiesTopological Properties; Operations; GOALS; 4 - Classification of Action Sequences; RANDOM TRIAL AND ERROR; SYSTEMATIC TRIAL AND ERROR; CLASSIFICATORY TRIAL AND ERROR; MACROACTIONS; GETTING OUT OF LOOPS; INCUBATION; 5 - State Evaluation and Hill Climbing; THEORY; APPLICATIONS; DIFFICULTIES WITH HILL CLIMBING; 6 - Subgoals; THEORY; APPLICATIONS; 7 - Contradiction; INDIRECT PROOF; MULTIPLE CHOICE-SMALL SEARCH SPACE; CLASSIFICATORY CONTRADICTION-LARGE SEARCH SPACE; ITERATIVE CONTRADICTION IN INFINITE SEARCH SPACES; 8 - Working Backward; THEORY; APPLICATIONS.

9 - Relations Between ProblemsEQUIVALENT PROBLEMS; SIMILAR PROBLEMS; SPECIAL CASE; GENERALIZATION; 10 - Topics in Mathematical Representation; REPRESENTATION ON PAPER OR IN THE HEAD; DIAGRAMMATIC REPRESENTATION; SYMBOLIC REPRESENTATION; SOME IMPORTANT MATHEMATICAL CONCEPTS; 11 - Problems from Mathematics, Science, and Engineering; ALGEBRA; TRIGONOMETRY; ANALYTIC GEOMETRY; CALCULUS; DIFFERENTIAL EQUATIONS; PROBABILITY AND STATISTICS; COMBINATORIAL ANALYSIS; NUMBER THEORY; MODERN ALGEBRA; MECHANICS; HEAT; ELECTRICITY; ELECTRICAL ENGINEERING; COMPUTER PROGRAMMING; References; Index.

If youve ever tried to solve mathematical problems without any idea how to go about it, this book is for you. It will improve your ability to solve all kinds of mathematical problems whether in mathematics, science, engineering, business, or purely recreational mathematical problems (puzzles, games, etc.). In the pages of this book youll discover seven indispensable problem-solving techniques: inference, classification of action sequences, state evaluation and hill climbing, subgoals, contradiction, working backward and relations between problems. Based on modern advances in the fields of ar.

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Table of Contents References Bartlett F Thinking An experiment and - photo 1
Table of Contents

References

Bartlett, F. Thinking: An experiment and social study . New York: Basic Books, 1958.

Chessin, P. L. Problem for solution. American Mathematical Monthly , 1954, , 258-59.

Duncker, K. On problem solving. Psychological Monographs , 1945, (5, Whole No. 270).

Feller, W. An introduction to probability theory and its applications . (3rd ed.) Vol. 1. New York: John Wiley & Sons, 1957.

Newell, A., Shaw, J. C., & Simon, H. A. The processes of creative thinking. In H. E. Gruber, G. Terrell, & M. Wertheimer (Eds.), Contemporary Approaches to Creative Thinking. New York: Atherton Press, 1962. Pp. 63-110.

Polya, G. How to solve it . Garden City, N.Y.: Doubleday & Company, 1957.

Polya, G. Mathematical discovery. Vol. 1. On understanding, learning, and teaching problem solving . New York: John Wiley & Sons, 1962.

Simon, H. A., & Newell, A. Human problem solving. American Psychologist, 1971, 26, 145-159.

Introduction

The purpose of this book is to help you improve your ability to solve mathematical, scientific, and engineering problems. With this in mind, I will describe certain elementary concepts and principles of the theory of problems and problem solving, something we have learned a great deal about since the 1950s, when the advent of computers made possible research on artificial intelligence and computer simulation of human problem solving. I have tried to organize the discussion of these ideas in a simple, logical way that will help you understand, remember, and apply them.

You should be warned, however, that the theory of problem solving is far from being precise enough at present to provide simple cookbook instructions for solving most problems. Partly for this reason and partly for reasons of intrinsic merit, teaching by example is the primary approach used in this book. First, a problem-solving method will be discussed theoretically, then it will be applied to a variety of problems, so that you may see how to use the method in actual practice.

To master these methods, it is essential to work through the examples of their application to a variety of problems. Thus, much of the book is devoted to analyzing problems that exemplify the use of different methods. You should pay careful attention to these problems and should not be discouraged if you do not perfectly understand the theoretical discussions. The theory of problem solving will undoubtably help those students with sufficient mathematical background to understand it, but students who lack such a background can compensate by spending greater time on the examples.

SCOPE OF THE BOOK

This book is primarily a practical guide to how to solve a certain class of problems, specifically, what I call formal problems or just problems (with the adjective formal being understood in later contexts). Formal problems include all mathematical problems of either the to find or the to prove character but do not include problems of defining mathematically interesting axiom systems. A student taking mathematics courses will hardly be aware of the practical significance of this exclusion, since defining interesting axiom systems is a problem not typically encountered except in certain areas of basic research in mathematics. Similarly, the problem of constructing a new mathematical theory in any field of science is not a formal problem, as I use the term, and I will not discuss it in this book. However, any other mathematical problem that comes up in any field of science, engineering, or mathematics is a formal problem in the sense of this book.

Problems such as what you should eat for breakfast, whether you should marry x or y, whether you should drop out of school, or how can you get yourself to spend more time studying are not formal problems. These problems are virtually impossible at the present time to turn into formal problems because we have no good ways of restricting our thinking to a specified set of given information and operations (courses of action we might take), nor do we often even know how to specify precisely what our goals are in solving these problems. Understanding formal problems can undoubtedly make some contributions to your thinking in regard to these poorly specified personal problems, but the scope of the present book does not include such problems. Even if it did, it would be extremely difficult to specify any precise methods for solving them.

However, formal problems include a large class of practical problems that people might encounter in the real world, although they usually encounter them as games or puzzles presented by friends or appearing in magazines. A practical problem such as how to build a bridge across a river is a formal problem if, in solving the problem, one is limited to some specified set of materials (givens), operations, and, of course, the goal of getting the bridge built.

In actuality, you might limit yourself in this way for a while and, if no solution emerged, decide to consider the use of some additional materials, if possible. Expanding the set of given materials (by means other than the use of acceptable operations) is not a part of formal problem solving, but often the situation presents certain givens in sufficiently disguised or implicit form that recognition of all the givens is an important part of skill in formal problem solving. That skill will be discussed later.

Practical problems or puzzles of the type we will consider differ from problems in mathematics, science, or engineering in that to pose them requires less background information and training. Thus, puzzle problems are especially suitable as examples of problem-solving methods in this book, because they communicate the workings of the methods most easily to the widest range of readers. For this reason, puzzle problems will constitute a large proportion of the examples used in this bookat least prior to the last chapter.

In principle, it might seem that most important problem-solving methods would be unique to each specialized area of mathematics, science, or engineering, but this is probably not the case. There are many extremely general problem-solving methods, though, to be sure, there are also special methods that can be of use in only a limited range of fields.

It may be quite difficult to learn the special methods and knowledge required in a particular field, but at least such methods and knowledge are the specific object of instruction in courses. By contrast, general problem-solving methods are rarely, if ever, taught, though they are quite helpful in solving problems in every field of mathematics, science, and engineering.

GENERAL VERSUS SPECIAL METHODS

The relation between specific knowledge and methods, on the one hand, and general problem-solving methods, on the other hand, appears to be as follows. When you understand the relevant material and specific methods quite well and already have considerable experience in applying this knowledge to similar problems, then in solving a new problem you use the same specific methods you used before. Considering the methods used in similar problems is a general problem-solving technique. However, in cases where it is obvious that a particular problem is a member of a class of problems you have solved before, you do not need to make explicit, conscious use of the method: simply go ahead and solve the problem, using methods that you have learned to apply to this class. Once you have this level of understanding of the relevant material, general problem-solving methods are of little value in solving the vast majority of homework and examination problems for mathematics, science, and engineering courses.

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