The Sparse Grids Matlab kit--a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification
C Piazzola, L Tamellini - arXiv preprint arXiv:2203.09314, 2022 - arxiv.org
The Sparse Grids Matlab Kit provides a Matlab implementation of sparse grids, and can be
used for approximating high-dimensional functions and, in particular, for surrogate-model …
used for approximating high-dimensional functions and, in particular, for surrogate-model …
PyApprox: A software package for sensitivity analysis, Bayesian inference, optimal experimental design, and multi-fidelity uncertainty quantification and surrogate …
JD Jakeman - Environmental Modelling & Software, 2023 - Elsevier
PyApprox is a Python-based one-stop-shop for probabilistic analysis of numerical models
such as those used in the earth, environmental and engineering sciences. Easy to use and …
such as those used in the earth, environmental and engineering sciences. Easy to use and …
Algorithm 1040: The Sparse Grids Matlab Kit-a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification
C Piazzola, L Tamellini - ACM Transactions on Mathematical Software, 2024 - dl.acm.org
The Sparse Grids Matlab Kit provides a Matlab implementation of sparse grids, and can be
used for approximating high-dimensional functions and, in particular, for surrogate-model …
used for approximating high-dimensional functions and, in particular, for surrogate-model …
Self-learning salp swarm algorithm for global optimization and its application in multi-layer perceptron model training
Z Yang, Y Jiang, WC Yeh - Scientific Reports, 2024 - nature.com
Optimization problems are common across various fields, and one effective solution is the
swarm intelligence algorithm. It is essential for the algorithm to deliver high-quality solutions …
swarm intelligence algorithm. It is essential for the algorithm to deliver high-quality solutions …
Amputated life-testing based on extended Dagum percentiles for type of group inspection plans: optimal sample sizes, termination time ratios analysis
B Ahmed, GG Hamedani, GT Mekiso, YA Tashkandy… - Scientific Reports, 2024 - nature.com
This paper introduces a novel approach to life-testing using Extended Dagum (EXD)
percentiles within the framework of group inspection plans. The methodology focuses on …
percentiles within the framework of group inspection plans. The methodology focuses on …
Uncertainty quantification of the effect of cardiac position variability in the inverse problem of electrocardiographic imaging
Objective. Electrocardiographic imaging (ECGI) is a functional imaging modality that
consists of two related problems, the forward problem of reconstructing body surface …
consists of two related problems, the forward problem of reconstructing body surface …
Global sensitivity analysis and uncertainty quantification for simulated atrial electrocardiograms
B Winkler, C Nagel, N Farchmin, S Heidenreich… - Metrology, 2022 - mdpi.com
The numerical modeling of cardiac electrophysiology has reached a mature and advanced
state that allows for quantitative modeling of many clinically relevant processes. As a result …
state that allows for quantitative modeling of many clinically relevant processes. As a result …
Global and local identifiability analysis of a nonlinear biphasic constitutive model in confined compression
JM Peloquin, DM Elliott - Journal of the Royal Society …, 2024 - royalsocietypublishing.org
Application of biomechanical models relies on model parameters estimated from
experimental data. Parameter non-identifiability, when the same model output can be …
experimental data. Parameter non-identifiability, when the same model output can be …
Influence of material parameter variability on the predicted coronary artery biomechanical environment via uncertainty quantification
CC Berggren, D Jiang, YF Jack Wang… - … and Modeling in …, 2024 - Springer
Central to the clinical adoption of patient-specific modeling strategies is demonstrating that
simulation results are reliable and safe. Indeed, simulation frameworks must be robust to …
simulation results are reliable and safe. Indeed, simulation frameworks must be robust to …
On the uncertainty quantification of the active uterine contraction during the second stage of labor simulation
Uterine contractions in the myometrium occur at multiple scales, spanning both organ and
cellular levels. This complex biological process plays an essential role in the fetus delivery …
cellular levels. This complex biological process plays an essential role in the fetus delivery …