Get Smart: Maths. The Big Ideas You Should Know

Par : Julia Collins
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  • FormatEpub fixed layout
  • ISBN978-1-78648-336-2
  • EAN9781786483362
  • Date de parution05/09/2018
  • Protection num.Adobe DRM
  • Infos supplémentairesepub
  • ÉditeurGreenfinch

Résumé

Can you explain Fermat's Last Theorem? What is the shape of the Universe? And how do you add up to infinity? Challenge yourself with Get Smart: Maths and learn to think and talk like the world's greatest mathematical geniuses. Taking you on a journey through the mathematical ideas that underpin our world - from imaginary numbers and Turing machines to chaos theory and mathematical paradoxes; from the search for primes and game theory to relativity and the arithmetic of altruism - Get Smart: Maths demystifies 50 key concepts and provides you with the tools to master the very biggest ideas.
Includes: imaginary numbers; the riemann hypothesis; mathematical paradoxes; chaos theory; code breaking; Gödel's incompleteness theorem; topology; the Poincaré conjecture; game theory; the maths of symmetry; calculus; Turing machines; fractals; the prisoner's dilemma; primes; knot theory; probability and statistics; the Monty Hall problem .
Can you explain Fermat's Last Theorem? What is the shape of the Universe? And how do you add up to infinity? Challenge yourself with Get Smart: Maths and learn to think and talk like the world's greatest mathematical geniuses. Taking you on a journey through the mathematical ideas that underpin our world - from imaginary numbers and Turing machines to chaos theory and mathematical paradoxes; from the search for primes and game theory to relativity and the arithmetic of altruism - Get Smart: Maths demystifies 50 key concepts and provides you with the tools to master the very biggest ideas.
Includes: imaginary numbers; the riemann hypothesis; mathematical paradoxes; chaos theory; code breaking; Gödel's incompleteness theorem; topology; the Poincaré conjecture; game theory; the maths of symmetry; calculus; Turing machines; fractals; the prisoner's dilemma; primes; knot theory; probability and statistics; the Monty Hall problem .
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