Numerical linear algebra | Relaxation (iterative methods)

Successive over-relaxation

In numerical linear algebra, the method of successive over-relaxation (SOR) is a variant of the Gauss–Seidel method for solving a linear system of equations, resulting in faster convergence. A similar method can be used for any slowly converging iterative process. It was devised simultaneously by David M. Young Jr. and by Stanley P. Frankel in 1950 for the purpose of automatically solving linear systems on digital computers. Over-relaxation methods had been used before the work of Young and Frankel. An example is the method of Lewis Fry Richardson, and the methods developed by R. V. Southwell. However, these methods were designed for computation by human calculators, requiring some expertise to ensure convergence to the solution which made them inapplicable for programming on digital computers. These aspects are discussed in the thesis of David M. Young Jr. (Wikipedia).

Successive over-relaxation
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Related pages

David M. Young Jr. | Richard S. Varga | Iterative method | Tridiagonal matrix | Symmetric successive over-relaxation | Diagonal matrix | Triangular matrix | Belief propagation | Jacobi method | Matrix splitting | Gauss–Seidel method | Newton's method | Numerical linear algebra | Symmetric matrix | Alexander Ostrowski