While there is no lack of efficient Krylov subspace solvers for Hermitian systems, there are few for complex symmetric, skew symmetric, or skew Hermitian systems, which are …
Most commonly used adaptive algorithms for univariate real-valued function approximation and global minimization lack theoretical guarantees. Our new locally adaptive algorithms …
Computable general equilibrium (CGE) models play a central role in modern economic modeling, bearing on a wide range of important applications in international climate and …
A Guaranteed, Adaptive, Automatic Algorithm for Univariate Function Minimization Page 1 Introduction The Algorithm Numerical Examples Conclusions and future work A Guaranteed …
This technical report discusses the submission and peer-review process used by the First Workshop on on Sustainable Software for Science: Practice and Experiences (WSSSPE) …
Automatic and adaptive approximation, optimization, or integration of functions in a cone with guarantee of accuracy is a relatively new paradigm. Our purpose is to create an open …
Untitled Page 1 1 ” Page 2 A Complete Bibliography of Publications in Journal of Open Research Software Nelson HF Beebe University of Utah Department of Mathematics, 110 …
Quasi-Monte Carlo (QMC) methods are used to approximate multivariate integrals. They have four main components: an integrand, a discrete distribution, summary output data, and …
Quasi-Monte Carlo (QMC) methods are used to approximate multivariate integrals. They have four main components: an integrand, a discrete distribution, summary output data, and …