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Mathematics and plausible reasoning. Vol. 1 Induction and analogy in mathematics /

A guide to the practical art of plausible reasoning, this book has relevance in every field of intellectual activity. Professor Polya, a world-famous mathematician from Stanford University, uses mathematics to show how hunches and guesses play an important part in even the most rigorously deductive...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pólya, George, 1887-1985
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton, N.J. : Princeton University Press, 1954.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Pólya, George,  |d 1887-1985. 
245 1 0 |a Mathematics and plausible reasoning.  |n Vol. 1 Induction and analogy in mathematics /  |c by G. Polya. 
264 1 |a Princeton, N.J. :  |b Princeton University Press,  |c 1954. 
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504 |a Includes bibliographical references (v. 1, pages 279-280). 
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505 0 |a Cover Page -- Half-title page -- Title page -- Copyright page -- Preface -- Hints to the Reader -- Contents -- Chapter I: Induction -- 1. Experience and belief -- 2. Suggestive contacts -- 3. Supporting contacts -- 4. The inductive attitude -- Examples and Comments on Chapter I. -- Chapter II: Generalization, Specialization, Analogy -- 1. Generalization, Specialization, Analogy, and Induction -- 2. Generalization -- 3. Specialization -- 4. Analogy -- 5. Generalization, Specialization, and Analogy -- 6. Discovery by analogy -- 7. Analogy and induction -- Examples and Comments on Chapter II 
505 8 |a Chapter III: Induction in Solid Geometry -- 1. Polyhedra -- 2. First supporting contacts -- 3. More supporting contacts -- 4. A severe test -- 5. Verifications and verifications -- 6. A very different case -- 7. Analogy -- 8. The partition of space -- 9. Modifying the problem -- 10. Generalization, specialization, analogy -- 11. An analogous problem -- 12. An array of analogous problems -- 13. Many problems may be easier than just one -- 14. A conjecture -- 15. Prediction and verification -- 16. Again and better -- 17. Induction suggests deduction 
505 8 |a The particular case suggests the general proof -- 18. More conjectures -- Examples and Comments on Chapter III -- Chapter IV: Induction in the Theory of Numbers -- 1. Right triangles in integers -- 2. Sums of squares -- 3. On the sum of four odd squares -- 4. Examining an example -- 5. Tabulating the observations -- 6. What is the rule? -- 7. On the nature of inductive discovery -- 8. On the nature of inductive evidence -- Examples and Comments on Chapter IV -- Chapter V: Miscellaneous Examples of Induction -- 1. Expansions -- 2. Approximations -- 3. Limits -- 4. Trying to disprove it 
505 8 |a 5. Trying to prove it -- 6. The role of the inductive phase -- Examples and Comments on Chapter V -- Chapter VI: A More General Statement -- 1. Euler -- 2. Euler's memoir -- 3. Transition to a more general viewpoint -- 4. Schematic outline of Euler's memoir -- Examples and Comments -- Chapter VII: Mathematical Induction -- 1. The inductive phase -- 2. The demonstrative phase -- 3. Examining transitions -- 4. The technique of mathematical induction -- Examples and Comments on Chapter VII -- Chapter VIII: Maxima and Minima -- 1. Patterns -- 2. Examples -- 3. The pattern of the tangent level line 
505 8 |a 4. Examples -- 5. The pattern of partial variation -- 6. The theorem of the arithmetic and geometric means and its first consequences -- Examples and Comments on Chapter VIII -- Chapter IX: Physical Mathematics -- 1. Optical interpretation -- 2. Mechanical interpretation -- 3. Reinterpretation -- 4. Jean Bernoulli's discovery of the Brachistochrone -- 5. Archimedes' discovery of the integral calculus -- Examples and Comments on Chapter IX -- Chapter X: The Isoperimetric Problem -- 1. Descartes' inductive reasons -- 2. Latent reasons -- 3. Physical reasons -- 4. Lord Rayleigh's inductive reasons 
520 |a A guide to the practical art of plausible reasoning, this book has relevance in every field of intellectual activity. Professor Polya, a world-famous mathematician from Stanford University, uses mathematics to show how hunches and guesses play an important part in even the most rigorously deductive science. He explains how solutions to problems can be guessed at; good guessing is often more important than rigorous deduction in finding correct solutions. Vol. I, on Induction and Analogy in Mathematics, covers a wide variety of mathematical problems, revealing the trains of thought that lead to solutions, pointing out false bypaths, discussing techniques of searching for proofs. Problems and examples challenge curiosity, judgment, and power of invention. 
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