successive sampling - ορισμός. Τι είναι το successive sampling
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Τι (ποιος) είναι successive sampling - ορισμός

METHOD OF SOLVING A LINEAR SYSTEM OF EQUATIONS
Successive over-relaxation method; Successive Over Relaxation; Successive over relaxation method; Successive overrelaxation; Successive overrelaxation method; Successive Overrelaxation method; Successive Overrelaxation Method; Successive over relaxation; Gauss-Seidel SOR; SOR method; Successive Over-relaxation
  • Spectral radius <math> \rho(C_\omega) </math> of the iteration matrix for the SOR method <math> C_\omega </math>.
The plot shows the dependence on the spectral radius of the Jacobi iteration matrix <math> \mu := \rho(C_\text{Jac}) </math>.

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.
Snowball sampling         
NONPROBABILITY SAMPLING TECHNIQUE
Snowball sample; Respondent-driven sampling; Snowball method; Snowballed sample
In sociology and statistics research, snowball sampling (or chain sampling, chain-referral sampling, referral sampling (accessed 8 May 2011).Snowball Sampling, Changing Minds.
Symmetric successive over-relaxation         
PRECONDITIONER
SSOR; SSOR preconditioner; Symmetric successive overrelaxation
In applied mathematics, symmetric successive over-relaxation (SSOR),Iterative methods at CFD-Online wiki is a preconditioner.

Βικιπαίδεια

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.