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  2. MacCormack method - Wikipedia

    en.wikipedia.org/wiki/MacCormack_method

    In computational fluid dynamics, the MacCormack method (/məˈkɔːrmæk ˈmɛθəd/) is a widely used discretization scheme for the numerical solution of hyperbolic partial differential equations.

  3. Conjugate gradient method - Wikipedia

    en.wikipedia.org/wiki/Conjugate_gradient_method

    The result, x 2, is a "better" approximation to the system's solution than x 1 and x 0. If exact arithmetic were to be used in this example instead of limited-precision, then the exact solution would theoretically have been reached after n = 2 iterations ( n being the order of the system).

  4. Discretization error - Wikipedia

    en.wikipedia.org/wiki/Discretization_error

    Discretization error, which arises from finite resolution in the domain, should not be confused with quantization error, which is finite resolution in the range ...

  5. Reed–Muller code - Wikipedia

    en.wikipedia.org/wiki/Reed–Muller_code

    Using low-degree polynomials over a finite field of size , it is possible to extend the definition of Reed–Muller codes to alphabets of size .Let and be positive integers, where should be thought of as larger than .

  6. Duhamel's integral - Wikipedia

    en.wikipedia.org/wiki/Duhamel's_integral

    If a system initially rests at its equilibrium position, from where it is acted upon by a unit-impulse at the instance t=0, i.e., p(t) in the equation above is a Dirac delta function δ(t), () = | = =, then by solving the differential equation one can get a fundamental solution (known as a unit-impulse response function)

  7. Shooting method - Wikipedia

    en.wikipedia.org/wiki/Shooting_method

    In numerical analysis, the shooting method is a method for solving a boundary value problem by reducing it to an initial value problem.It involves finding solutions to the initial value problem for different initial conditions until one finds the solution that also satisfies the boundary conditions of the boundary value problem.

  8. Reed–Solomon error correction - Wikipedia

    en.wikipedia.org/wiki/Reed–Solomon_error...

    Ie for DM is 301 % k is the size of the message % n is the total size (k+redundant) % Example: msg = uint8('Test') % enc_msg = rsEncoder(msg, 8, 301, 12, numel(msg)); % Get the alpha alpha = gf (2, m, prim_poly); % Get the Reed-Solomon generating polynomial g(x) g_x = genpoly (k, n, alpha); % Multiply the information by X^(n-k), or just pad ...

  9. Smoothstep - Wikipedia

    en.wikipedia.org/wiki/Smoothstep

    A plot of the smoothstep(x) and smootherstep(x) functions, using 0 as the left edge and 1 as the right edgeSmoothstep is a family of sigmoid-like interpolation and clamping functions commonly used in computer graphics, [1] [2] video game engines, [3] and machine learning.