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The art of insight in science and engineering : mastering complexity /
Tools to make hard problems easier to solve.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, Massachusetts :
The MIT Press,
[2014]
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Mahajan, Sanjoy, |d 1969- |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjMrwFmJcxdmTB7FpgHq6X | |
| 245 | 1 | 4 | |a The art of insight in science and engineering : |b mastering complexity / |c Sanjoy Mahajan. |
| 264 | 1 | |a Cambridge, Massachusetts : |b The MIT Press, |c [2014] | |
| 264 | 4 | |c ©2014 | |
| 300 | |a 1 electronic resource (xvi, 389 pages ) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references (pages 359-361) and index. | ||
| 588 | |a Description based on print version record; resource not viewed. | ||
| 505 | 0 | |a Brief Contents; Preface; Values for Backs of Envelopes; Part I: Organizing Complexity; 1 Divide and conquer; 2 Abstraction; Part II: Discarding Complexity Without Losing Information; 3 Symmetry and Conservation; 4 Proportional Reasoning; 5 Dimensions; Part III: Discarding Complexity with Loss of Information; 6 Lumping; 7 Probabilistic Reasoning; 8 Easy Cases; 9 Spring Models; Bon Voyage: Long-Lasting Learning; Bibliography; Index; Contents; Preface; Values for Backs of Envelopes; Part I: Organizing Complexity; Divide and Conquer; 2 Abstraction. | |
| 505 | 8 | |a Part II: Discarding Complexity Without Losing Information3 Symmetry and Conservation; 4 Proportional Reasoning; 5 Dimensions; Part III: Discarding Complexity with Loss of Information; 6 Lumping; 7 Probabilistic Reasoning; 8 Easy Cases; 9 Spring Models; Bon Voyage: Long-lasting Learning; Bibliography; Index. | |
| 520 | |a Tools to make hard problems easier to solve. | ||
| 546 | |a English. | ||
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| 650 | 0 | |a Estimation theory. | |
| 650 | 0 | |a Hypothesis. | |
| 650 | 0 | |a Problem solving. | |
| 650 | 0 | |a Statistical physics. | |
| 650 | 2 | |a Problem Solving | |
| 650 | 6 | |a Théorie de l'estimation. | |
| 650 | 6 | |a Hypothèse. | |
| 650 | 6 | |a Résolution de problème. | |
| 650 | 6 | |a Physique statistique. | |
| 650 | 7 | |a SCIENCE |x Philosophy & Social Aspects. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Applied Sciences. |2 bisacsh | |
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| 650 | 7 | |a Hypothesis |2 fast | |
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| 653 | |a SCIENCE / Applied Sciences | ||
| 653 | |a TECHNOLOGY & ENGINEERING / Engineering (General) | ||
| 653 | |a MATHEMATICS / Applied | ||
| 655 | 0 | |a Electronic books. | |
| 758 | |i has work: |a The art of insight in science and engineering (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFvwC7gjPPh6vGWxwyfyVC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |t The art of insight in science and engineering |d Cambridge, Massachusetts : The MIT Press, [2014] |z 9780262526548 (pbk. : alk. paper) |w (DLC) 2014003652 |
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