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Numerical Integration on Advanced Computer Systems
Arnold R. Krommer,Christoph W. Ueberhuber +1 more
- 01 Sep 1994
109
TL;DR: Application of numerical integration software, including architecture adaptive integration algorithms, and potential parallelism in integration algorithms are studied.
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Abstract: Applications of numerical integration.- Fundamentals of numerical integration.- Integrals.- Univariate integration formulas.- Multivariate integration formulas.- Integration algorithms.- Load distribution.- Potential parallelism in integration algorithms.- Parallelization schemes for integration algorithms.- Practical parallelization of integration algorithms.- Parallel data management.- Assessment of numerical integration software.- Architecture adaptive integration algorithms.
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Citations
Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model
TL;DR: In this article, a quasi-random sequence for the estimation of the mixed multinomial logit model was proposed, which accommodates general patterns of competitiveness as well as heterogeneity across individuals in sensitivity to exogenous variables.
Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model
Chandra R. Bhat
- 01 Jan 2000
TL;DR: In this article, a quasi-random sequence for the estimation of the mixed multinomial logit model was proposed, which accommodates general patterns of competitiveness as well as heterogeneity across individuals in sensitivity to exogenous variables.
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Advances in Analysis of Longitudinal Data
TL;DR: In this review, recent developments in the area of linear and nonlinear generalized mixed-effects regression models and various alternatives, including generalized estimating equations for analysis of longitudinal data are explored.
Computational investigations of low-discrepancy sequences
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TL;DR: A modification of the Halton sequence (theHalton sequence leaped) and a new construction of the generalized Haltonsequence are suggested for unrestricted number of dimensions and are shown to improve considerably on the original Halton sequences.
419
Design of computer experiments: A review
TL;DR: Numerical and visual analyses of the static DoE techniques reveal the excellent performance of Sobol sampling (SOB3) for higher dimensions; and that of Hammersley and Halton (HAL) sampling for lower dimensions.
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