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  2. Prism correction - Wikipedia

    en.wikipedia.org/wiki/Prism_correction

    Prism dioptres. Prism correction is commonly specified in prism dioptres, a unit of angular measurement that is loosely related to the dioptre. Prism dioptres are represented by the Greek symbol delta (Δ) in superscript. A prism of power 1 Δ would produce 1 unit of displacement for an object held 100 units from the prism. [2]

  3. Predictor–corrector method - Wikipedia

    en.wikipedia.org/wiki/Predictor–corrector_method

    A simple predictor–corrector method (known as Heun's method) can be constructed from the Euler method (an explicit method) and the trapezoidal rule (an implicit method). Consider the differential equation. and denote the step size by . First, the predictor step: starting from the current value , calculate an initial guess value via the Euler ...

  4. Broyden–Fletcher–Goldfarb–Shanno algorithm - Wikipedia

    en.wikipedia.org/wiki/Broyden–Fletcher...

    Obtain a direction by solving = (). Perform a one-dimensional optimization ( line search ) to find an acceptable stepsize α k {\displaystyle \alpha _{k}} in the direction found in the first step. If an exact line search is performed, then α k = arg ⁡ min f ( x k + α p k ) {\displaystyle \alpha _{k}=\arg \min f(\mathbf {x} _{k}+\alpha ...

  5. Maddox rod - Wikipedia

    en.wikipedia.org/wiki/Maddox_rod

    The strength of the prism is increased until the streak of the light passes through the centre of the prism, as the strength of the prism indicates the amount of deviation present. The Maddox rod is a handheld instrument composed of red parallel plano convex cylinder lens , which refracts light rays so that a point source of light is seen as a ...

  6. MacCormack method - Wikipedia

    en.wikipedia.org/wiki/MacCormack_method

    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. This second-order finite difference method was introduced by Robert W. MacCormack in 1969. [1] The MacCormack method is elegant ...

  7. Quasi-Newton method - Wikipedia

    en.wikipedia.org/wiki/Quasi-Newton_method

    Quasi-Newton methods are methods used to find either zeroes or local maxima and minima of functions, as an alternative to Newton's method. They can be used if the Jacobian or Hessian is unavailable or is too expensive to compute at every iteration. The "full" Newton's method requires the Jacobian in order to search for zeros, or the Hessian for ...

  8. Diplopia - Wikipedia

    en.wikipedia.org/wiki/Diplopia

    Surgery or special glasses (prisms) may be advised if there is no recovery in 6 to 12 months. If diplopia turns out to be intractable, it can be managed as last resort by obscuring part of the patient's field of view. This approach is outlined in the article on diplopia occurring in association with a condition called horror fusionis. See also

  9. Levenberg–Marquardt algorithm - Wikipedia

    en.wikipedia.org/wiki/Levenberg–Marquardt...

    In mathematics and computing, the Levenberg–Marquardt algorithm ( LMA or just LM ), also known as the damped least-squares ( DLS) method, is used to solve non-linear least squares problems. These minimization problems arise especially in least squares curve fitting. The LMA interpolates between the Gauss–Newton algorithm (GNA) and the ...

  10. PISO algorithm - Wikipedia

    en.wikipedia.org/wiki/PISO_algorithm

    Algorithm steps Flow chart of PISO algorithm. The algorithm can be summed up as follows: Set the boundary conditions. Solve the discretized momentum equation to compute an intermediate velocity field. Compute the mass fluxes at the cells faces. Solve the pressure equation. Correct the mass fluxes at the cell faces.

  11. Multigrid method - Wikipedia

    en.wikipedia.org/wiki/Multigrid_method

    Multigrid method. In numerical analysis, a multigrid method ( MG method) is an algorithm for solving differential equations using a hierarchy of discretizations. They are an example of a class of techniques called multiresolution methods, very useful in problems exhibiting multiple scales of behavior.