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  1. 16 de mai. de 2024 · O eminente físico, matemático e astrônomo francês Pierre-Simon Laplace (1749-1827), em sua defesa do determinismo, propôs uma hipotética e vasta “inteligência” que, mais tarde, foi denominada Demônio de Laplace. Do original grego ( daimon ), deve ser entendida como uma (semi)divindade, não necessariamente maligna.

  2. 27 de mai. de 2024 · Discover the life and legacy of Pierre-Simon Laplace, the French mathematician and astronomer who revolutionized our understanding of the solar system's stability. Explore how Laplace's...

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  3. Há 3 dias · The Laplace transform is named after mathematician and astronomer Pierre-Simon, Marquis de Laplace, who used a similar transform in his work on probability theory. [4] Laplace wrote extensively about the use of generating functions (1814), and the integral form of the Laplace transform evolved naturally as a result. [5]

  4. Há 3 dias · Pierre-Simon Laplace no solo fue un destacado científico, sino también un hombre de múltiples talentos cuyo legado abarca una amplia gama de disciplinas. Además de sus contribuciones en física, matemáticas y estadística, Laplace también incursionó en áreas como la ingeniería, la economía y la filosofía, dejando una ...

  5. 20 de mai. de 2024 · Laplace transform, in mathematics, a particular integral transform invented by the French mathematician Pierre-Simon Laplace (1749–1827), and systematically developed by the British physicist Oliver Heaviside (1850–1925), to simplify the solution of many differential equations that describe.

    • The Editors of Encyclopaedia Britannica
  6. Há 1 dia · The science that describes the properties of droplets, bubbles and liquid films — namely capillarity, pioneered by Pierre-Simon Laplace at the start of the nineteenth century — therefore has ...

  7. 22 de mai. de 2024 · The standard version of the central limit theorem, first proved by the French mathematician Pierre-Simon Laplace in 1810, states that the sum or average of an infinite sequence of independent and identically distributed random variables, when suitably rescaled, tends to a normal distribution.

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