STOCHASTIC MODELS IN OPERATIONS RESEARCH : STOCHASTIC OPTIMIZATION/
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Buch
Fachgebiete / Stichwörter: HEYMAN, DANIEL P; MCGRAW-HILL; 003 H618s
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An application of ARX stochastic models to iris recognition
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Text / Ressource
We present a new approach for iris recognition based on stochastic autoregressive models with exogenous input (ARX). Iris recognition is a method to identify persons, based on the analysis of the eye iris.
A typical iri...
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Open AccessAn introduction to random variables, random vectors and stochastic processes
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This book is aimed at covering the bases on random variables, random vectors and stochastic processes, necessary to be able to address the study of stochastic models based mainly on random and stochastic differential equ...
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Material complementarioEarly dinosaur radiation: testing macroevolutionary models through diversification rate shift analyses of an early Mesozoic amniotan supertree
Text / Ressource
Text / Ressource
The early radiation of dinosaurs has been traditionally explained through a "competitive model", which attributes dinosaur success to their superiority in a drawn-out process involving inter-specific competition, or a mo...
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Open AccessAn analysis on selection methods and multirecombination in evolutionary search when solving the job shop scheduling problem
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Text / Ressource
Evolutionary algorithms (EAs) can be used as optimisation mechanisms. Based on the model of natural evolution, they work on populations of individuals instead of on single solutions. In this way, the search is performed ...
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Open AccessModelos estocásticos en finanzas /
Buch
Buch
Fachgebiete / Stichwörter: Stochastic models; Finance; Mathematical models; Business mathematics; Electronic books
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