[BUKU][B] Stochastic dynamics of structures
In Stochastic Dynamics of Structures, Li and Chen present a unified view of the theory and
techniques for stochastic dynamics analysis, prediction of reliability, and system control of …
techniques for stochastic dynamics analysis, prediction of reliability, and system control of …
[BUKU][B] Monte carlo and quasi-monte carlo sampling
C Lemieux - 2009 - Springer
Quasi–Monte Carlo methods have become an increasingly popular alternative to Monte
Carlo methods over the last two decades. Their successful implementation on practical …
Carlo methods over the last two decades. Their successful implementation on practical …
[BUKU][B] Lattice methods for multiple integration
This is the first book devoted to lattice methods, a recently developed way of calculating
multiple integrals in many variables. Multiple integrals of this kind arise in fields such as …
multiple integrals in many variables. Multiple integrals of this kind arise in fields such as …
[BUKU][B] Numerical fourier analysis
The Applied and Numerical Harmonic Analysis (ANHA) book series aims to provide the
engineering, mathematical, and scientific communities with significant developments in …
engineering, mathematical, and scientific communities with significant developments in …
Monte Carlo variance of scrambled net quadrature
AB Owen - SIAM Journal on Numerical Analysis, 1997 - SIAM
Hybrids of equidistribution and Monte Carlo methods of integration can achieve the superior
accuracy of the former while allowing the simple error estimation methods of the latter. This …
accuracy of the former while allowing the simple error estimation methods of the latter. This …
[BUKU][B] Numerical computation 1: methods, software, and analysis
CW Ueberhuber - 2012 - books.google.com
This book deals with various aspects of scientific numerical computing. No at tempt was
made to be complete or encyclopedic. The successful solution of a numerical problem has …
made to be complete or encyclopedic. The successful solution of a numerical problem has …
Lattice rules: how well do they measure up?
FJ Hickernell - Random and quasi-random point sets, 1998 - Springer
A simple, but often effective, way to approximate an integral over the sdimensional unit cube
is to take the average of the integrand over some set P of N points. Monte Carlo methods …
is to take the average of the integrand over some set P of N points. Monte Carlo methods …
[BUKU][B] Computational integration
AR Krommer, CW Ueberhuber - 1998 - SIAM
The calculation of integrals is an important task in many fields of scientific computation,
ranging from computational statistics to finite element methods. When trying to solve …
ranging from computational statistics to finite element methods. When trying to solve …
Constructing cubature formulae: the science behind the art
R Cools - Acta numerica, 1997 - cambridge.org
In this paper we present a general, theoretical foundation for the construction of cubature
formulae to approximate multivariate integrals. The focus is on cubature formulae that are …
formulae to approximate multivariate integrals. The focus is on cubature formulae that are …
An historical overview of lattice point sets
Y Wang, FJ Hickernell - Monte Carlo and Quasi-Monte Carlo Methods …, 2002 - Springer
Good lattice point sets are an important kind of low discrepancy points for multidimensional
quadrature, simulation, experimental design, etc. The theoretical development of lattice point …
quadrature, simulation, experimental design, etc. The theoretical development of lattice point …