The Experts below are selected from a list of 42 Experts worldwide ranked by ideXlab platform
Oliver Schnetz - One of the best experts on this subject based on the ideXlab platform.
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Harmonic analysis of random number Generators
arXiv: Computational Physics, 1996Co-Authors: Oliver SchnetzAbstract:The spectral test of random number Generators (R.R. Coveyou and R.D. McPherson, 1967) is generalized. The sequence of random numbers is analyzed explicitly, not just via their n-tupel distributions. We find that the mixed Multiplicative Generator with power of two modulus does not pass the extended test with an ideal result. Best qualities has a new Generator with the recursion formula X(k+1)=a*X(k)+c*int(k/2) mod 2^d. We discuss the choice of the parameters a, c for very large moduli 2^d and present an implementation of the suggested Generator with d=256, a=2^128+2^64+2^32+62181, c=(2^160+1)*11463.
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Harmonic analysis of random number Generators and Multiplicative groups of residue class rings
arXiv: Computational Physics, 1996Co-Authors: Oliver SchnetzAbstract:The spectral test of random number Generators (R.R. Coveyou and R.D. McPherson, 1967) is generalized. The sequence of random numbers is analyzed explicitly not just via their n-tupel distributions. The generalized analysis of many Generators becomes possible due to a theorem on the harmonic analysis of Multiplicative groups of residue class rings. We find that the mixed Multiplicative Generator with power of two modulus does not pass the extended test with an ideal result. Best qualities has a new Generator with the recursion formula X(k+1)=a*X(k)+c*int(k/2) mod 2^d. We discuss the choice of the parameters a, c for very large moduli 2^d and present an implementation of the suggested Generator with d=256, a=2^128+2^64+2^32+62181, c=(2^160+1)*11463.
Dafid Dafid - One of the best experts on this subject based on the ideXlab platform.
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ESTIMASI PENGUNJUNG MENGGUNAKANSIMULASI MONTE CARLO PADA WARUNG INTERNET XYZ
'Universitas Indo Global Mandiri', 2018Co-Authors: Irfani M. Haviz, Dafid DafidAbstract:Monte Carlo is a simulation method that using random numbers obtained from Linear Congruential Generator (Multiplicative Generator) as an approximation in estimating the number of visitors using previous time visitor data. The number of visitors who come to use internet services on internet cafes is often difficult to predict. Apart from some indicators that affect or may be experienced by the cafe owner with the activities of the internet service, it will predicted the number of visitors using visitor data from 60 days ago with linear method congruential Generator as scrambler and monte carlo method as estimator. The results obtained is the estimated number of visitor in uniform distribution [0,1] for the next 60 days that can be used as information for cafe owner.Keywords:Simulasi, Linier Congruential Generator, Monte Carlo, Estimasi, Random Numbe
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ESTIMASI PENGUNJUNG MENGGUNAKAN SIMULASI MONTE CARLO PADA WARUNG INTERNET XYZ
2017Co-Authors: Irfani M. Haviz, Dafid DafidAbstract:Monte Carlo is a simulation method that using random numbers obtained from Linear Congruential Generator (Multiplicative Generator) as an approximation in estimating the number of visitors using previous time visitor data. The number of visitors who come to use internet services on internet cafes is often difficult to predict. Apart from some indicators that affect or may be experienced by the cafe owner with the activities of the internet service, it will predicted the number of visitors using visitor data from 60 days ago with linear method congruential Generator as scrambler and monte carlo method as estimator. The results obtained is the estimated number of visitor in uniform distribution [0,1] for the next 60 days that can be used as information for cafe owner
Irfani M. Haviz - One of the best experts on this subject based on the ideXlab platform.
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ESTIMASI PENGUNJUNG MENGGUNAKANSIMULASI MONTE CARLO PADA WARUNG INTERNET XYZ
'Universitas Indo Global Mandiri', 2018Co-Authors: Irfani M. Haviz, Dafid DafidAbstract:Monte Carlo is a simulation method that using random numbers obtained from Linear Congruential Generator (Multiplicative Generator) as an approximation in estimating the number of visitors using previous time visitor data. The number of visitors who come to use internet services on internet cafes is often difficult to predict. Apart from some indicators that affect or may be experienced by the cafe owner with the activities of the internet service, it will predicted the number of visitors using visitor data from 60 days ago with linear method congruential Generator as scrambler and monte carlo method as estimator. The results obtained is the estimated number of visitor in uniform distribution [0,1] for the next 60 days that can be used as information for cafe owner.Keywords:Simulasi, Linier Congruential Generator, Monte Carlo, Estimasi, Random Numbe
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ESTIMASI PENGUNJUNG MENGGUNAKAN SIMULASI MONTE CARLO PADA WARUNG INTERNET XYZ
2017Co-Authors: Irfani M. Haviz, Dafid DafidAbstract:Monte Carlo is a simulation method that using random numbers obtained from Linear Congruential Generator (Multiplicative Generator) as an approximation in estimating the number of visitors using previous time visitor data. The number of visitors who come to use internet services on internet cafes is often difficult to predict. Apart from some indicators that affect or may be experienced by the cafe owner with the activities of the internet service, it will predicted the number of visitors using visitor data from 60 days ago with linear method congruential Generator as scrambler and monte carlo method as estimator. The results obtained is the estimated number of visitor in uniform distribution [0,1] for the next 60 days that can be used as information for cafe owner
Junsheng Qiao - One of the best experts on this subject based on the ideXlab platform.
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On Multiplicative Generators of overlap and grouping functions
Fuzzy Sets and Systems, 2018Co-Authors: Junsheng QiaoAbstract:Abstract Overlap and grouping functions have been proposed by Bustince et al.. In this paper, we continue investigating the two functions by their Multiplicative Generator pairs. At first, we introduce the concept of Multiplicative Generator pair for overlap functions. And then, we investigate the migrativity, homogeneity, idempotency, Archimedean and cancellation properties for the overlap functions obtained by such Multiplicative Generator pairs. Finally, we give the definition of Multiplicative Generator pair for grouping functions and show some related results by the duality of overlap and grouping functions.
Glad Deschrijver - One of the best experts on this subject based on the ideXlab platform.
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Additive and Multiplicative Generators in Interval-Valued Fuzzy Set Theory
IEEE Transactions on Fuzzy Systems, 2007Co-Authors: Glad DeschrijverAbstract:In this paper, we introduce the notion of additive and Multiplicative Generator on LI, which is the underlying lattice of interval-valued fuzzy set theory. A special class of Generators on LI is the class of representable Generators which can be represented using Generators on ([0,1],les). A representation of involutive negators on LI by means of continuous additive Generators which is similar to the representation of involutive negators on ([0,1], les) is given. We also investigate additive and Multiplicative Generators of t-norms on LI
