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Moment-inversion algorithm multivariate

The moment-inversion algorithms for bivariate and multivariate problems are discussed in Section 3.2. [Pg.308]

The quadrature method of moments (QMOM) and the direct quadrature method of moments (DQMOM) were introduced in Chapter 3 as equivalent methods for solving a homogeneous GPBE. In fact, the DQMOM was derived by Marchisio Fox (2005) primarily for the purpose of solving spatially inhomogeneous multivariate moment-transport equations. Unlike for the univariate case, where the moment-inversion algorithm is uniquely defined for a given set of moments, the QMOM in the multivariate case is much... [Pg.337]

Chapter 3 provides an introduction to Gaussian quadrature and the moment-inversion algorithms used in quadrature-based moment methods (QBMM). In this chapter, the product-difference (PD) and Wheeler algorithms employed for the classical univariate quadrature method of moments (QMOM) are discussed, together with the brute-force, tensor-product, and conditional QMOM developed for multivariate problems. The chapter concludes with a discussion of the extended quadrature method of moments (EQMOM) and the direct quadrature method of moments (DQMOM). [Pg.524]

See other pages where Moment-inversion algorithm multivariate is mentioned: [Pg.27]    [Pg.28]    [Pg.46]    [Pg.47]    [Pg.63]    [Pg.99]    [Pg.101]    [Pg.307]    [Pg.308]    [Pg.309]    [Pg.311]    [Pg.331]    [Pg.332]    [Pg.338]    [Pg.114]   
See also in sourсe #XX -- [ Pg.63 , Pg.307 , Pg.308 , Pg.314 , Pg.332 , Pg.338 , Pg.408 ]



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