Two topics concerning the use of Clenshaw-Curtis quadrature within the Bayesian automatic adaptive quadrature approach to the numerical solution of Riemann integrals are considered. First, it is found that the efficient floating point computation of the coefficients of the Chebyshev series expansion of the integrand is to be done within a mathematical structure consisting of the union of coefficient families ordered into complete binary trees. Second, the scrutiny of the decay rates of the involved even and odd rank Chebyshev expansion coefficients with the increase of their rank labels enables the definition of Bayesian decision paths for the advancement to the numerical output
The solution of the population balance equation requires the integration of several source terms. In...
Bayesian probabilistic numerical methods are a set of tools providing posterior distributions on the...
A novel method is proposed to infer Bayesian predictions of computationally expensive models. The me...
Two topics concerning the use of Clenshaw-Curtis quadrature within the Bayesian automatic adaptive q...
Two topics concerning the use of Clenshaw-Curtis quadrature within the Bayesian automatic adaptive q...
Two conceptual developments in the Bayesian automatic adaptive quadrature approach to the numerical ...
Two conceptual developments in the Bayesian automatic adaptive quadrature approach to the numerical ...
The Clenshaw Curtis method for numerical integration is extended to semi-infinite ([_0, 30] and infi...
AbstractA nonadaptive automatic integration scheme using Clenshaw-Curtis quadrature is presented. Ex...
The paper describes a Bayesian automatic adaptive quadrature (BAAQ) solution for numerical integrati...
The paper describes a Bayesian automatic adaptive quadrature (BAAQ) solution for numerical integrati...
AbstractAn automatic, non-adaptive, quadrature schema is proposed, based on three different formulas...
AbstractThe computational cost of automatic quadrature programs is analyzed under the hypothesis of ...
AbstractThe computational cost of automatic quadrature programs is analyzed under the hypothesis of ...
This project presents a modified method of numerical integration for a “well behaved� function o...
The solution of the population balance equation requires the integration of several source terms. In...
Bayesian probabilistic numerical methods are a set of tools providing posterior distributions on the...
A novel method is proposed to infer Bayesian predictions of computationally expensive models. The me...
Two topics concerning the use of Clenshaw-Curtis quadrature within the Bayesian automatic adaptive q...
Two topics concerning the use of Clenshaw-Curtis quadrature within the Bayesian automatic adaptive q...
Two conceptual developments in the Bayesian automatic adaptive quadrature approach to the numerical ...
Two conceptual developments in the Bayesian automatic adaptive quadrature approach to the numerical ...
The Clenshaw Curtis method for numerical integration is extended to semi-infinite ([_0, 30] and infi...
AbstractA nonadaptive automatic integration scheme using Clenshaw-Curtis quadrature is presented. Ex...
The paper describes a Bayesian automatic adaptive quadrature (BAAQ) solution for numerical integrati...
The paper describes a Bayesian automatic adaptive quadrature (BAAQ) solution for numerical integrati...
AbstractAn automatic, non-adaptive, quadrature schema is proposed, based on three different formulas...
AbstractThe computational cost of automatic quadrature programs is analyzed under the hypothesis of ...
AbstractThe computational cost of automatic quadrature programs is analyzed under the hypothesis of ...
This project presents a modified method of numerical integration for a “well behaved� function o...
The solution of the population balance equation requires the integration of several source terms. In...
Bayesian probabilistic numerical methods are a set of tools providing posterior distributions on the...
A novel method is proposed to infer Bayesian predictions of computationally expensive models. The me...