- Referenced in 336 articles
- matrices) generalized eigenvalue problems (simple and clusters) quadrature for univariate functions univariate polynomial zeros (simple...
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- PROGRAMS FOR GENERATING ORTHOGONAL POLYNOMIALS AND RELATED QUADRATURE RULES...
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- subtriangles, subquadrilaterals, independent near-tip, and discontinuous quadrature rules); domain integral methods for homogeneous...
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- generating orthogonal polynomials and Gauss‐type quadrature rules. A collection of subroutines and examples ... zeros of orthogonal polynomials and Gauss-type quadrature rules, for which routines are also provided...
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- Implementing Clenshaw-Curtis quadrature, I methodology and experience. Clenshaw-Curtis quadrature is a particularly important ... automatic quadrature scheme for a variety of reasons, especially the high accuracy obtained from relatively...
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- which performs construction of orthogonal polynomials and quadrature formulas. The package is implemented almost...
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- methods are available for numerical integration: Quadrature or adaptive quadrature. In both cases ... make sure that a sufficient number of quadrature points has been used by comparing solutions ... with different numbers quadrature points. In most cases adaptive quadrature will perform better than ordinary ... quadrature. This is particularly the case if the cluster sizes are large and the responses...
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- available, the principal ones being adaptive Gaussian quadrature and a first-order Taylor series approximation...
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- creation of cluster trees, visualization and numerical quadrature. This is a work in progress...
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- class of variable-order Gaussian quadrature methods. Using GPOPS-II, the continuous-time optimal control...
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- CADRE: An algorithm for numerical quadrature. This chapter discusses the program CADRE — an algorithm ... numerical quadrature. The program employs an adaptive scheme whereby CADRE is found...
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- concern here is with Gauss-type quadrature rules that are exact for a mixture...
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- quadgk: Numerically evaluate integral, adaptive Gauss-Kronrod quadrature, q = quadgk(fun,a,b) attempts ... using high-order global adaptive quadrature and default error tolerances. The function...
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- marginal maximum likelihood using the Gauss-Hermite quadrature rule. The capabilities and features...
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- functions over a collection of regions, i.e., quadrature and cubature. The current version allows this...
- Referenced in 19 articles
- Algorithm 840: Computation of grid points, quadrature weights and derivatives for spectral element methods using ... bases: the grid points $x_j$, the quadrature weights $w_j$, and the values...
- Referenced in 25 articles
- many programmers. New topics, such as Gaussian quadrature, adaptive Simpson’s integration, and discrete orthogonal...
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- Julia package to compute n-point Gauss quadrature nodes and weights to 16-digit accuracy...
- Referenced in 17 articles
- computation of Gauss-Szego quadrature rules. Our programs utilize the Schur parametrization to compute...
- Referenced in 15 articles
- confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor...