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PLILP
1993
Springer
13 years 8 months ago
Higher-Order Chaotic Iteration Sequences
Chaotic iteration sequences is a method for approximating fixpoints of monotonic functions proposed by Patrick and Radhia Cousot. It may be used in specialisation algorithms for ...
Mads Rosendahl
CAV
2009
Springer
215views Hardware» more  CAV 2009»
14 years 5 months ago
Homer: A Higher-Order Observational Equivalence Model checkER
We present HOMER, an observational-equivalence model checker for the 3rd-order fragment of Idealized Algol (IA) augmented with iteration. It works by first translating terms of the...
David Hopkins, C.-H. Luke Ong
ICONIP
1998
13 years 6 months ago
Computing Iterative Roots with Neural Networks
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
Lars Kindermann
NC
1998
140views Neural Networks» more  NC 1998»
13 years 6 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner
MP
2008
129views more  MP 2008»
13 years 4 months ago
Corrector-predictor methods for monotone linear complementarity problems in a wide neighborhood of the central path
Abstract. Two corrector-predictor interior point algorithms are proposed for solving monotone linear complementarity problems. The algorithms produce a sequence of iterates in the ...
Florian A. Potra