Successive Under-Relaxation

E621091

Successive Under-Relaxation is a numerical technique for iteratively solving linear systems that deliberately uses a relaxation factor less than one to slow updates and improve stability or convergence in certain problems.

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Predicate Object
instanceOf iterative numerical method
alsoKnownAs SUR NERFINISHED
appliesTo discretized partial differential equations
linear algebraic systems
belongsTo iterative methods for sparse systems
numerical linear algebra
canBeCombinedWith Gauss–Seidel iteration NERFINISHED
Jacobi iteration
contrastsWith Successive Over-Relaxation which uses omega > 1
dependsOn choice of relaxation factor for performance
goal to obtain stable convergence for difficult systems
hasConstraintOnParameter 0 < omega < 1
hasEffect increases robustness of convergence
reduces step size of each iteration
hasMathematicalForm x^{k+1} = x^{k} + omega (x^{k+1}_{*} - x^{k})
hasParameter omega
hasProperty can prevent divergence in unstable schemes
can slow nominal convergence rate
damps oscillations in iterative updates
relaxation factor less than one
hasPurpose to improve convergence behavior in some problems
to improve stability of iterative schemes
to iteratively solve linear systems
isBasedOn relaxation techniques
isRelatedTo Gauss–Seidel method NERFINISHED
Jacobi method NERFINISHED
Successive Over-Relaxation NERFINISHED
isUsedIn computational fluid dynamics
engineering simulations
finite difference methods
finite element methods
finite volume methods
iterative solution of Poisson equations
steady-state solvers
modifies update step of an iterative method
optimizationCriterion trade-off between stability and speed of convergence
typicalUseCase highly nonlinear or stiff problems
strongly coupled equations
usesConcept relaxation factor

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Successive Over-Relaxation relatedTo Successive Under-Relaxation