Adaptive Smolyak Pseudospectral Approximations
Polynomial approximations of computationally intensive models are central to uncertainty quantification. This paper describes an adaptive method for nonintrusive pseudospectral approximation, based on Smolyak's algorithm with generalized sparse grids. We
Conrad, Patrick Raymond +1 more
core +1 more source
Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samples. [PDF]
Pietilä S, Suomi T, Elo LL.
europepmc +1 more source
Pseudospectral methods for a class of evolutionary systems
Includes illustrations (some color).Includes bibliographical references (pages 71-72).Mathematical and computer modeling of various physical processes typically involve evolutionary systems which are a class of time dependent partial differential ...
Geldhof, Sam
core
Luo, E.; Kreiss, H-O.. (1995). Pseudospectral vs. Finite difference methods for initial value problems with discontinuous coefficients.
Luo, E., Kreiss, H-O.
core
Meshfree Approximation Methods with Matlab, Lecture 4: RBF collocation and polynomial pseudospectral methods [PDF]
Greg Fasshauer
doaj
High-resolution Bayesian Virtual Epileptic Patient using neural field models. [PDF]
Vattikonda AN +6 more
europepmc +1 more source
Practical application of pseudospectral optimization to robot path planning
To obtain minimum time or minimum energy trajectories for robots it is necessary to employ planning methods which adequately consider the platform’s dynamic properties.
Hillier, Nick +2 more
core
Approaches to Exceptional Points in the Framework of Non-Hermitian Random Matrices. [PDF]
Benisty H.
europepmc +1 more source
Numerical solution of nonlinear Schrödinger equation by a hybrid pseudospectral-variational quantum algorithm. [PDF]
Köcher N +4 more
europepmc +1 more source
Complete Data Analysis Workflow for Quantitative DIA Mass Spectrometry Using Nextflow. [PDF]
Perk M +5 more
europepmc +1 more source

