• 1.

    Approximation

    anything that is similar but not exactly equal to something else; approached, inaccurate expression of any data
    Overview: An approximation is anything that is intentionally similar but not exactly equal to something else.
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  • 2.

    Curve fitting

    process of constructing a curve, or mathematical function, that has the best fit to a series of data points
    Curve fitting
    Overview: 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 ...
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  • 3.

    Numerical integration

    family of algorithms for finding the definite integral of a function
    Numerical integration
    Overview: 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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  • 4.

    Computational statistics

    interface between statistics and computer science
    Computational statistics
    Overview: 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 ...
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  • 5.

    Monte Carlo method

    broad class of computational algorithms using random sampling to obtain numerical results
    Monte Carlo method
    Overview: 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 ...
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  • 6.

    Approximation theory

    theory of getting acceptably close inexact mathematical calculations
    Approximation theory
    Overview: 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 ...
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  • 7.

    Linear algebra

    branch of mathematics that studies vector spaces and linear transformations
    Linear algebra
    Overview: Linear algebra is the branch of mathematics concerning linear equations such as:
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  • 8.

    Numerical analysis

    study of algorithms that use numerical approximation for the problems of mathematical analysis
    Numerical analysis
    Overview: 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) ...
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  • 9.

    Digital Library of Mathematical Functions

    online project meant to be a collection of special functions
    Overview: 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 ...
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  • 10.

    Abramowitz and Stegun

    mathematical reference work edited by M. Abramowitz and I. Stegun
    Abramowitz and Stegun
    Overview: 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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  • 11.
    Overview: 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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  • 12.

    Mauricio Resende

    Brazilian-American operations research scientist
    Overview: 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 ...
    Date of birth: 27 July 1955
    Age: 69
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  • 13.
    Overview: 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 ...
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  • 14.

    Level set (data structures)

    data structures
    Overview: In computer science a level set data structure is designed to represent discretely sampled dynamic level sets functions.
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