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Iterated function

Known as: Iterative functional-differential equation, Fractional iteration, Picard sequence 
In mathematics, an iterated function is a function X → X (that is, a function from some set X to itself) which is obtained by composing another… 
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Related topics

Related topics

50 relations
Aitken's delta-squared processAlgorithmArtin–Mazur zeta functionCantor set

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2009
2009
Scheduling in Flowshops with No-Idle Machines
This chapter deals with an interesting and not so well studied variant of the classical permutation flowshop problem with… 
Highly Cited
2005
Highly Cited
2005
Some global bifurcations related to the appearance of closed invariant curves
Highly Cited
2004
Highly Cited
2004
Blind equalization of frequency-selective channels by sequential importance sampling
This paper introduces a novel blind equalization algorithm for frequency-selective channels based on a Bayesian formulation of… 
2004
2004
Modified Defect Correction Algorithms for ODEs. Part I: General Theory
The well-known method of Iterated Defect Correction (IDeC) is based on the following idea: Compute a simple, basic approximation… 
2004
2004
IPE and L2U: approximate algorithms for credal networks
. This paper presents two approximate algorithms for inference in graphical models for binary random variables and imprecise… 
Highly Cited
1999
Highly Cited
1999
Mobile-Robot Map Building from an Advanced Sonar Array and Accurate Odometry
This paper describes a mobile robot equipped with a sonar sensor array in a guided, feature-based map-building task in an indoor… 
Highly Cited
1998
Highly Cited
1998
Accelerated Inexact Newton Schemes for Large Systems of Nonlinear Equations
Classical iteration methods for linear systems, such as Jacobi iteration, can be accelerated considerably by Krylov subspace… 
Highly Cited
1993
Highly Cited
1993
On Evolving Robust Strategies for Iterated Prisoner's Dilemma
Evolution is a fundamental form of adaptation in a dynamic and complex environment. Genetic algorithms are an effective tool in… 
1993
1993
Two strategies for spare capacity placement in mesh restorable networks
Because the problem of optimal spare capacity placement in a mesh-restorable network is NP-hard, the authors consider two… 
Highly Cited
1992
Highly Cited
1992
Exact numerical studies of Hamiltonian maps: iterating without roundoff error
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