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Pierre-Simon, Marquis de Laplace (/ l ə ˈ p l ɑː s /; French: [pjɛʁ simɔ̃ laplas]; 23 March 1749 – 5 March 1827) was a French scholar whose work was important to the development of engineering, mathematics, statistics, physics, astronomy, and philosophy.
A Philosophical Essay on Probabilities is a work by Pierre-Simon Laplace on the mathematical theory of probability. [ 1 ] [ 2 ] [ 3 ] The book consists of two parts, the first with five chapters and the second with thirteen.
Cyrille Pierre Théodore Laplace (7 November 1793 – 24 January 1875) was a French navigator famous for his circumnavigation of the globe on board La Favorite. He was pivotal in the opening of French trade in the Pacific and was instrumental in the establishment of the Hawaiian Catholic Church. He achieved the rank of captain.
In mathematics and physics, Laplace's equation is a second-order partial differential equation named after Pierre-Simon Laplace, who first studied its properties.This is often written as = or =, where = = is the Laplace operator, [note 1] is the divergence operator (also symbolized "div"), is the gradient operator (also symbolized "grad"), and (,,) is a twice-differentiable real-valued function.
Pierre-Simon de Laplace. Théorie analytique des probabilités. Paris: Courcier Imprimeur, 1812. Pierre-Simon de Laplace. Essai philosophique sur les probabilités, 3rd edition. Paris: Courcier Imprimeur, 1816. Pierre-Simon de Laplace. Philosophical essay on probabilities. New York: Springer-Verlag, 1995.
Of these, Laplace himself was the last, and, perhaps after Newton, the greatest; and the task commenced in the Principia of the former, is completed in the Mécanique Céleste of the latter. In this last named work, the illustrious author has proposed to himself his object, to unite all the theories scattered throughout the various channels of ...
In probability theory, the rule of succession is a formula introduced in the 18th century by Pierre-Simon Laplace in the course of treating the sunrise problem. [1] The formula is still used, particularly to estimate underlying probabilities when there are few observations or events that have not been observed to occur at all in (finite) sample data.
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