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  2. Method of lines - Wikipedia

    en.wikipedia.org/wiki/Method_of_lines

    Method of lines - the example, which shows the origin of the name of method. The method of lines (MOL, NMOL, NUMOL [ 1 ] [ 2 ] [ 3 ] ) is a technique for solving partial differential equations (PDEs) in which all but one dimension is discretized.

  3. Robotics Toolbox for MATLAB - Wikipedia

    en.wikipedia.org/wiki/Robotics_Toolbox_for_MATLAB

    The Robotics Toolbox for Python is a reimplementation of the Robotics Toolbox for MATLAB for Python 3. [ 7 ] [ 8 ] Its functionality is a superset of the Robotics Toolbox for MATLAB, the programming model is similar, and it supports additional methods to define a serial link manipulator including URDF and elementary transform sequences.

  4. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    MATLAB (an abbreviation of "MATrix LABoratory" [18]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks.MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.

  5. Conjugate gradient method - Wikipedia

    en.wikipedia.org/wiki/Conjugate_gradient_method

    The conjugate gradient method can be applied to an arbitrary n-by-m matrix by applying it to normal equations A T A and right-hand side vector A T b, since A T A is a symmetric positive-semidefinite matrix for any A. The result is conjugate gradient on the normal equations (CGN or CGNR). A T Ax = A T b

  6. Equation solving - Wikipedia

    en.wikipedia.org/wiki/Equation_solving

    An example of using Newton–Raphson method to solve numerically the equation f(x) = 0. In mathematics, to solve an equation is to find its solutions, which are the values (numbers, functions, sets, etc.) that fulfill the condition stated by the equation, consisting generally of two expressions related by an equals sign.

  7. Exponential integrator - Wikipedia

    en.wikipedia.org/wiki/Exponential_integrator

    Exact integration of this problem from time 0 to a later time can be performed using matrix exponentials to define an integral equation for the exact solution: [3] u ( t ) = e L t u 0 + ∫ 0 t e L ( t − τ ) N ( u ( τ ) ) d τ .

  8. Explicit and implicit methods - Wikipedia

    en.wikipedia.org/wiki/Explicit_and_implicit_methods

    In the vast majority of cases, the equation to be solved when using an implicit scheme is much more complicated than a quadratic equation, and no analytical solution exists. Then one uses root-finding algorithms, such as Newton's method, to find the numerical solution. Crank-Nicolson method. With the Crank-Nicolson method

  9. MacCormack method - Wikipedia

    en.wikipedia.org/wiki/MacCormack_method

    The MacCormack method is well suited for nonlinear equations (Inviscid Burgers equation, Euler equations, etc.) The order of differencing can be reversed for the time step (i.e., forward/backward followed by backward/forward). For nonlinear equations, this procedure provides the best results.