iterative algorithm

'iterative algorithm' can also refer to...

iterative algorithm

iterative algorithm

Evaluation of iterative alignment algorithms for multiple alignment

An iterative refinement algorithm for consistency based multiple structural alignment methods

CAST: an iterative algorithm for the complexity analysis of sequence tracts

Efficient iterative algorithms for linear stability analysis of incompressible flows

An iterative two-step algorithm for American option pricing


A new progressive-iterative algorithm for multiple structure alignment

Background rareness-based iterative multiple sequence alignment algorithm for regulatory element detection

An iterative algorithm for converting a class II MHC binding motif into a quantitative predictive model

A note on convergence of an iterative algorithm for semiparametric odds ratio models

Block preconditioning of real-valued iterative algorithms for complex linear systems

Convergence monotonicity and speed comparison of iterative learning control algorithms for nonlinear systems

An iterative network partition algorithm for accurate identification of dense network modules

Convergence of Luo and Tsai's iterative algorithm for estimation in proportional likelihood ratio models

An iterative algorithm for separation of S and ScS waves of great earthquakes

Predicting class II MHC/peptide multi-level binding with an iterative stepwise discriminant analysis meta-algorithm

Towards the in silico identification of class II restricted T-cell epitopes: a partial least squares iterative self-consistent algorithm for affinity prediction


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A numerical method usually used when explicit formulae are unavailable. The idea is that a repetition of (usually simple) calculations will result in a sequence of approximate values for the quantity of interest. The differences between successive values will usually diminish rapidly and a usual termination rule is based on the difference having reached an acceptably small value. Each repetition is called an iteration. Examples include the Deming–Stephan algorithm, the EM algorithm, and iteratively reweighted least squares.

Subjects: Probability and Statistics.

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