process of constructing a curve, or mathematical function, that has the best fit to a series of data points
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Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints. Curve fitting can involve either inte ...
family of algorithms for finding the definite integral of a function
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In analysis, numerical integration comprises a broad family of algorithms for calculating the numerical value of a definite integral. The term numerical quadrature (often abbreviated to quadrature) is ...
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Computational statistics, or statistical computing, is the study which is the intersection of statistics and computer science, and refers to the statistical methods that are enabled by using computational ...
broad class of computational algorithms using random sampling to obtain numerical results
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Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness ...
theory of getting acceptably close inexact mathematical calculations
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In mathematics, approximation theory is concerned with how functions can best be approximated with simpler functions, and with quantitatively characterizing the errors introduced thereby. What is meant ...
study of algorithms that use numerical approximation for the problems of mathematical analysis
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Numerical analysis is the study of algorithms that use numerical approximation (as opposed to symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics) ...
online project meant to be a collection of special functions
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The Digital Library of Mathematical Functions (DLMF) is an online project at the National Institute of Standards and Technology (NIST) to develop a database of mathematical reference data for special ...
mathematical reference work edited by M. Abramowitz and I. Stegun
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Abramowitz and Stegun (AS) is the informal name of a 1964 mathematical reference work edited by Milton Abramowitz and Irene Stegun of the United States National Bureau of Standards (NBS), now the National ...
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In mathematics and computer science, symbolic-numeric computation is the use of software that combines symbolic and numeric methods to solve problems.
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Mauricio G. C. Resende (born July 27, 1955 in Maceió, Brazil) is a Brazilian-American research scientist with contributions to the field of mathematical optimization. He is best known for the development ...
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The Peter Henrici Prize (German: Peter Henrici Preis; French: Prix Peter Henrici; Italian: Premio Peter Henrici) is a prize awarded jointly by ETH Zurich and the Society for Industrial and Applied Mat ...