method of approximation
61Pseudo-spectral method — Pseudo spectral methods are a class of numerical methods used in applied mathematics and scientific computing for the solution of PDEs, such as the direct simulation of a particle with an arbitrary wavefunction interacting with an arbitrary… …
62Poincaré-Lindstedt method — In perturbation theory, the Poincaré Lindstedt method, named after Henri Poincaré, [H. Poincaré, Les Méthodes Nouvelles de la Mécanique Célèste I, II, III (Dover Publ., New York,1957).] and Anders Lindstedt [A. Lindstedt, Abh. K. Akad. Wiss. St.… …
63least squares approximation — ▪ statistics in statistics, a method for estimating the true value of some quantity based on a consideration of errors (error) in observations or measurements. In particular, the line (function) that minimizes the sum of the squared… …
64Paraxial approximation — In geometric optics, the paraxial approximation is an approximation used in ray tracing of light through an optical system (such as a lens).cite book | first=John E. | last=Greivenkamp | year=2004 | title=Field Guide to Geometrical Optics |… …
65Oseen's Approximation — In 1910 Carl Wilhelm Oseen proposed Oseen s Approximation to treat problems in which a flow field consists of small disturbance of a constant mean flow. His work was based on the experiments of Navier Stokes. Stokes studied a sphere of radius “a” …
66Runge–Kutta method (SDE) — In mathematics, the Runge Kutta method is a technique for the approximate numerical solution of a stochastic differential equation. It is a generalization of the Runge Kutta method for ordinary differential equations to stochastic differential… …
67Relaxation (approximation) — In mathematical optimization and related fields, relaxation is a modeling strategy. A relaxation is an approximation of a difficult problem by a nearby problem that is easier to solve. A solution of the relaxed problem provides information about… …
68Spectral method — Spectral methods are a class of techniques used in applied mathematics and scientific computing to numerically solve certain Dynamical Systems, often involving the use of the Fast Fourier Transform. Where applicable, spectral methods have… …
69Local-density approximation — The local density approximation (LDA) is an approximation of the exchange correlation (XC) energy functional in density functional theory (DFT) by taking the XC energy of an electron in a homogeneous electron gas of a density equal to the density …
70Stochastic approximation — methods are a family of iterative stochastic optimization algorithms that attempt to find zeroes or extrema of functions which cannot be computed directly, but only estimated via noisy observations. The first, and prototypical, algorithms of this …
