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Street-fighting mathematics : the art of educated guessing and opportunistic problem solving

Autor: Sanjoy Mahajan
Editorial: Cambridge, Mass. : MIT Press, ©2010.
Edición/Formato:   Libro : Inglés (eng)Ver todas las ediciones y todos los formatos
Base de datos:WorldCat
Resumen:
"In Street-Fighting Mathematics, Sanjoy Mahajan builds, sharpens, and demonstrates tools for educated guessing and down-and-dirty, opportunistic problem solving across diverse fields of knowledge - from mathematics to management. Mahajan describes six tools: dimensional analysis, easy cases, lumping, picture proofs, successive approximation, and reasoning by analogy. Illustrating each tool with numerous examples, he  Leer más
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Tipo de documento: Libro/Texto
Todos autores / colaboradores: Sanjoy Mahajan
ISBN: 9780262514293 026251429X
Número OCLC: 428731304
Descripción: xv, 134 pages : illustrations ; 23 cm
Responsabilidad: Sanjoy Mahajan ; foreword by Carver A. Mead.

Resumen:

An antidote to mathematical rigor mortis, teaching how to guess answers without needing a proof or an exact calculation.  Leer más

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"Many everyday problems require quick, approximate answers. Street-Fighting Mathematics teaches a crucial skill that the traditional science curriculum fails to develop: how to obtain order of Leer más

 
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schema:reviewBody""In Street-Fighting Mathematics, Sanjoy Mahajan builds, sharpens, and demonstrates tools for educated guessing and down-and-dirty, opportunistic problem solving across diverse fields of knowledge - from mathematics to management. Mahajan describes six tools: dimensional analysis, easy cases, lumping, picture proofs, successive approximation, and reasoning by analogy. Illustrating each tool with numerous examples, he carefully separates the tool - the general principle - from the particular application so that the reader can most easily grasp the tool itself to use on problems of particular interest." "Street-Fighting Mathematics grew out of a short course taught by the author at MIT for students ranging from first-year undergraduates to graduate students ready for careers in physics, mathematics, management, electrical engineering, computer science, and biology. They benefited from an approach that avoided rigor and taught them how to use mathematics to solve real problems."--Jacket."
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