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Validated numerics information


Validated numerics, or rigorous computation, verified computation, reliable computation, numerical verification (German: Zuverlässiges Rechnen) is numerics including mathematically strict error (rounding error, truncation error, discretization error) evaluation, and it is one field of numerical analysis. For computation, interval arithmetic is used, and all results are represented by intervals. Validated numerics were used by Warwick Tucker in order to solve the 14th of Smale's problems,[1] and today it is recognized as a powerful tool for the study of dynamical systems.[2]

  1. ^ Cite error: The named reference Tucker_1999 was invoked but never defined (see the help page).
  2. ^ Cite error: The named reference Kokubu was invoked but never defined (see the help page).

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Validated numerics

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validated numerics for dynamical systems. JuliaIntervals on GitHub (Library made by Julia) Boost Safe Numerics - C++ header only library of validated...

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Validation

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emotions). Forecast verification, validating and verifying prognostic output from a numerical model Regression validation, in statistics, determining whether...

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Numerical analysis

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linearization method Numerical differentiation Numerical Recipes Probabilistic numerics Symbolic-numeric computation Validated numerics "Photograph, illustration...

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Applied mathematics

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retrieved 2011-03-05 Today, numerical analysis includes numerical linear algebra, numerical integration, and validated numerics as subfields. Hager, G.,...

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Numerical methods for partial differential equations

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Numerical methods for partial differential equations is the branch of numerical analysis that studies the numerical solution of partial differential equations...

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Numerical methods for ordinary differential equations

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Numerical methods for ordinary differential equations are methods used to find numerical approximations to the solutions of ordinary differential equations...

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Computational mathematics

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traditional engineering methods. Numerical methods used in scientific computation, for example numerical linear algebra and numerical solution of partial differential...

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respect to some chosen notation for integers) ... this limitation (to numerical functions) results in no loss of generality", (Rogers 1987:1). "An algorithm...

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Mathematical software

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software is software used to model, analyze or calculate numeric, symbolic or geometric data. Numerical analysis and symbolic computation had been in most important...

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Data validation

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field are not constrained by internal mechanisms, then they should be validated to ensure that the referencing table always refers to a row in the referenced...

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Numerical linear algebra

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Discrete mathematics

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for the purposes of making calculations easier by using approximations. Numerical analysis provides an important example. The history of discrete mathematics...

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Constraint satisfaction problem

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Vladik Kreinovich

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addresses computability issues, algorithm development, verification, and validated numerics for applications in uncertainty processing, data processing, intelligent...

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Richard Hamming won the Turing Award in 1968 for his work at Bell Labs in numerical methods, automatic coding systems, and error-detecting and error-correcting...

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Decision theory

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decisions based on assigning probabilities to various factors and assigning numerical consequences to the outcome. There are three branches of decision theory:...

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The Unreasonable Effectiveness of Mathematics in the Natural Sciences

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gravitation on the basis of a single, and at that time very approximate, numerical coincidence." Wigner's second example comes from quantum mechanics: Max...

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Affine arithmetic

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Affine arithmetic (AA) is a model for self-validated numerical analysis. In AA, the quantities of interest are represented as affine combinations (affine...

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Potential theory

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Chebyshev approximation is the basis for Clenshaw–Curtis quadrature, a numerical integration technique. The Remez algorithm (sometimes spelled Remes) is...

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