2017-07-30T14:03:53+03:00[Europe/Moscow] en true Well-posed problem, Approximation, Matrix Template Library, Elmer FEM solver, Finite difference method, Condition number, Eigen (C++ library), Numerical integration, GetFEM++, Propagation of uncertainty, Galerkin method, ND4S, Abramowitz and Stegun, Discrete wavelet transform, Hermes Project, ND4J (software), Curve fitting flashcards
Numerical analysis

Numerical analysis

  • Well-posed problem
    The mathematical term well-posed problem stems from a definition given by Jacques Hadamard.
  • Approximation
    An approximation is anything that is similar but not exactly equal to something else.
  • Matrix Template Library
    The Matrix Template Library (MTL) is a linear algebra library for C++ programs.
  • Elmer FEM solver
    Elmer is computational tool for multi-physics problems.
  • Finite difference method
    In mathematics, finite-difference methods (FDM) are numerical methods for solving differential equations by approximating them with difference equations, in which finite differences approximate the derivatives.
  • Condition number
    In the field of numerical analysis, the condition number of a function with respect to an argument measures how much the output value of the function can change for a small change in the input argument.
  • Eigen (C++ library)
    Eigen is a high-level C++ library of template headers for linear algebra, matrix and vector operations, geometrical transformations, numerical solvers and related algorithms.
  • Numerical integration
    In numerical analysis, numerical integration constitutes a broad family of algorithms for calculating the numerical value of a definite integral, and by extension, the term is also sometimes used to describe the numerical solution of differential equations.
  • GetFEM++
    GetFEM++ is a generic finite element C++ library with interfaces for Python, Matlab and Scilab.
  • Propagation of uncertainty
    In statistics, propagation of uncertainty (or propagation of error) is the effect of variables' uncertainties (or errors, more specifically random errors) on the uncertainty of a function based on them.
  • Galerkin method
    In mathematics, in the area of numerical analysis, Galerkin methods are a class of methods for converting a continuous operator problem (such as a differential equation) to a discrete problem.
  • ND4S
    ND4S is a free, open-source extension of the Scala programming language operating on the Java Virtual Machine—though it is compatible with both Java and Clojure.
  • Abramowitz and Stegun
    Abramowitz and Stegun (AS) is the informal name of a mathematical reference work edited by Milton Abramowitz and Irene Ann Stegun of the United States National Bureau of Standards (NBS), now the National Institute of Standards and Technology (NIST).
  • Discrete wavelet transform
    In numerical analysis and functional analysis, a discrete wavelet transform (DWT) is any wavelet transform for which the wavelets are discretely sampled.
  • Hermes Project
    Hermes2D (Higher-order modular finite element system) is a C++/Python library of algorithms for rapid development of adaptive hp-FEM solvers.
  • ND4J (software)
    ND4J is a scientific computing library, written in the programming language C++, operating on the Java virtual machine (JVM), and compatible with the languages Java, Scala, and Clojure.
  • Curve fitting
    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.