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Titlebook: Stochastic Processes and Orthogonal Polynomials; Wim Schoutens Book 2000 Springer Science+Business Media New York 2000 Binomial distributi

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Wim Schoutensalgorithms (Real-Coded Genetic Algorithm and Multi-Step Gradient Method) was performed with the use of ISEMK (Intelligent Expert System based on Cognitive Maps) software tool. The obtained results show that the use of SOGA allows to significantly reduce the structure of the FCM model by selecting th
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Wim Schoutens, distinguishing between the following measures: The social cost of the final profile, the number of dummies used, the length of the BR-sequence till convergence, and the number of times the dummy players move. Our main conclusion is that the use of dummy players may significantly improve the equili
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Birth and Death Processes, Random Walks, and Orthogonal Polynomials,ystem characteristics such as system size probabilities, expected system size, etc. The Karlin and McGregor representation [59], [74] of the transition probabilities, which uses a system of orthogonal polynomials satisfying a three-term recurrence relation involving the birth and death rates, is ver
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Orthogonal Polynomials in Stochastic Integration Theory,cept of strongly orthogonal martingales and orthogonal polynomials come into play. Examples include the Gamma process, where again the Laguerre polynomials turn up, the Pascal process, with again the Meixner polynomials, and the Meixner process, with as expected the Meixner-Pollaczek polynomials. Wh
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Stochastic Processes and Orthogonal Polynomials978-1-4612-1170-9Series ISSN 0930-0325 Series E-ISSN 2197-7186
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