successive approximation technique - определение. Что такое successive approximation technique
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Что (кто) такое successive approximation technique - определение

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>.
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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.
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.
Musical technique         
GROUP OF TECHNIQUES RELATING TO THE COMPOSING, PRODUCTION OR PERFORMANCE OF MUSIC
Technique (music); General Instrumental technique; Performance technique; Instrumental technique; Brass technique; String instrument technique; String technique; Brass instrument technique; Stringed instrument technique; Woodwind technique; Woodwind instrument technique; Percussion technique; Percussion instrument technique; Percussion instrumental technique; Woodwind instrumental technique; Brass instrumental technique; String instrumental technique; Stringed instrumental technique
Musical technique is the ability of instrumental and vocal musicians to exert optimal control of their instruments or vocal cords in order to produce the precise musical effects they desire. Improving one's technique generally entails practicing exercises that improve one's muscular sensitivity and agility.
Two-stream approximation         
DISCRETE ORDINATE APPROXIMATION IN WHICH RADIATION PROPAGATING ALONG ONLY TWO DISCRETE DIRECTIONS IS CONSIDERED
Two stream approximation (radiative transfer); Two-stream approximation (radiative transfer); Two-Stream Approximation
In models of radiative transfer, the two-stream approximation is a discrete ordinate approximation in which radiation propagating along only two discrete directions is considered. It was first used by Arthur Schuster in 1905.
Sigma approximation         
METHOD OF ADJUSTING A FOURIER SUMMATION TO GREATLY REDUCE THE GIBBS PHENOMENON, WHICH WOULD OTHERWISE OCCUR AT DISCONTINUITIES.
Sigma-approximation; Lanczos sigma factor; Lanczos σ factor
In mathematics, σ-approximation adjusts a Fourier summation to greatly reduce the Gibbs phenomenon, which would otherwise occur at discontinuities.
approx.         
ANYTHING THAT IS SIMILAR BUT NOT EXACTLY EQUAL TO SOMETHING ELSE; APPROACHED, INACCURATE EXPRESSION OF ANY DATA
Approximate; Approximations; ≈; Approximately equal; Approximately equal to; Approximately; Almost equal to; ≅; About equal sign; Almost equal sign; Approximately equals; ≏; Approx.; ≐; Approximately equals sign; Approximatery; Approximation symbol; Approximate equality; ≒; ≓; ∽; ≇; ≲; ≳; ≴; ≵; ≊; ≉; Appr.; Approximate symbol; Approximately symbol; Approximated; Approximates; Approximating; ⋦; ⋧; Rounded up; About equal; Approximation (mathematics); ⪅; ⪆; Approximate inequality; ⪉; ⪊; ⪍; ⪎; About equals; About equals sign
Approx. is a written abbreviation for approximately
.
Group Size: Approx. 12 to 16.
Approximately         
ANYTHING THAT IS SIMILAR BUT NOT EXACTLY EQUAL TO SOMETHING ELSE; APPROACHED, INACCURATE EXPRESSION OF ANY DATA
Approximate; Approximations; ≈; Approximately equal; Approximately equal to; Approximately; Almost equal to; ≅; About equal sign; Almost equal sign; Approximately equals; ≏; Approx.; ≐; Approximately equals sign; Approximatery; Approximation symbol; Approximate equality; ≒; ≓; ∽; ≇; ≲; ≳; ≴; ≵; ≊; ≉; Appr.; Approximate symbol; Approximately symbol; Approximated; Approximates; Approximating; ⋦; ⋧; Rounded up; About equal; Approximation (mathematics); ⪅; ⪆; Approximate inequality; ⪉; ⪊; ⪍; ⪎; About equals; About equals sign
·adv With approximation; so as to approximate; nearly.
approximately         
ANYTHING THAT IS SIMILAR BUT NOT EXACTLY EQUAL TO SOMETHING ELSE; APPROACHED, INACCURATE EXPRESSION OF ANY DATA
Approximate; Approximations; ≈; Approximately equal; Approximately equal to; Approximately; Almost equal to; ≅; About equal sign; Almost equal sign; Approximately equals; ≏; Approx.; ≐; Approximately equals sign; Approximatery; Approximation symbol; Approximate equality; ≒; ≓; ∽; ≇; ≲; ≳; ≴; ≵; ≊; ≉; Appr.; Approximate symbol; Approximately symbol; Approximated; Approximates; Approximating; ⋦; ⋧; Rounded up; About equal; Approximation (mathematics); ⪅; ⪆; Approximate inequality; ⪉; ⪊; ⪍; ⪎; About equals; About equals sign
approximation         
ANYTHING THAT IS SIMILAR BUT NOT EXACTLY EQUAL TO SOMETHING ELSE; APPROACHED, INACCURATE EXPRESSION OF ANY DATA
Approximate; Approximations; ≈; Approximately equal; Approximately equal to; Approximately; Almost equal to; ≅; About equal sign; Almost equal sign; Approximately equals; ≏; Approx.; ≐; Approximately equals sign; Approximatery; Approximation symbol; Approximate equality; ≒; ≓; ∽; ≇; ≲; ≳; ≴; ≵; ≊; ≉; Appr.; Approximate symbol; Approximately symbol; Approximated; Approximates; Approximating; ⋦; ⋧; Rounded up; About equal; Approximation (mathematics); ⪅; ⪆; Approximate inequality; ⪉; ⪊; ⪍; ⪎; About equals; About equals sign
n.
Approach, gradual convergence.
approximate         
ANYTHING THAT IS SIMILAR BUT NOT EXACTLY EQUAL TO SOMETHING ELSE; APPROACHED, INACCURATE EXPRESSION OF ANY DATA
Approximate; Approximations; ≈; Approximately equal; Approximately equal to; Approximately; Almost equal to; ≅; About equal sign; Almost equal sign; Approximately equals; ≏; Approx.; ≐; Approximately equals sign; Approximatery; Approximation symbol; Approximate equality; ≒; ≓; ∽; ≇; ≲; ≳; ≴; ≵; ≊; ≉; Appr.; Approximate symbol; Approximately symbol; Approximated; Approximates; Approximating; ⋦; ⋧; Rounded up; About equal; Approximation (mathematics); ⪅; ⪆; Approximate inequality; ⪉; ⪊; ⪍; ⪎; About equals; About equals sign
(approximating, approximated)
1.
An approximate number, time, or position is close to the correct number, time, or position, but is not exact.
The approximate cost varies from around ?150 to ?250...
The times are approximate only.
? exact
ADJ
approximately
Approximately $150 million is to be spent on improvements.
ADV: ADV num
2.
An idea or description that is approximate is not intended to be precise or accurate, but to give some indication of what something is like.
They did not have even an approximate idea what the Germans really wanted.
ADJ
3.
If something approximates to something else, it is similar to it but is not exactly the same.
Something approximating to a fair outcome will be ensured...
By about 6 weeks of age, most babies begin to show something approximating a day/night sleeping pattern.
VERB: V to n, V n

Википедия

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.