Comparer des méthodes

	Méthodes spectrales	Galerkin Method
Domaine	Méthodes numériques	Méthodes numériques
Famille	Machine learning	Machine learning
Année d'origine	1969	1915
Auteur d'origine	Steven Orszag	Boris Galerkin
Type	Global polynomial approximation	Variational approximation
Source fondatrice	Orszag, S. A. (1969). Numerical methods for the simulation of turbulence. Physics of Fluids Supplements, 12(12), 250–257.	Galerkin, B. G. (1915). Elastic plates and shells. Proceedings of Higher Technical School, Moscow.
Alias	spectral Galerkin, spectral collocation, pseudospectral method	Bubnoff-Galerkin, weighted residual method, projection method
Apparentées	1	1
Résumé	Spectral Methods are high-order numerical techniques for solving differential equations using global polynomial expansions (e.g., Fourier or Legendre series) rather than local piecewise polynomials. Developed by Steven Orszag in the 1960s for turbulence simulation, they offer exponential convergence for smooth problems, making them ideal for scientific computing when solution regularity is high.	The Galerkin Method is a projection-based variational technique for solving differential equations by reducing infinite-dimensional problems to finite-dimensional linear systems. Developed by Boris Galerkin in 1915 and independently by Ivan Bubnoff, it underpins the Finite Element Method (FEM) and is foundational to modern computational engineering.