Work

Analytic regularity and stochastic collocation of high-dimensional Newton iterates

Year: 2020

Type: article

Source: Advances in Computational Mathematics

DOI: 10.1007/s10444-020-09791-1

Authors: Julio E. Castrillón-Candás, Mark Kon

Institution: Boston University

Language: English

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funders: National Science Foundation, National Institutes of Health, National Institute of General Medical Sciences

Awards: Stochastic Dynamic MOdeling of Cellular Protein Interactions, G1703061749, G7871652881, AMPS: Uncertainty Quantification for Stochastic Analysis of Electrical Power Networks

OpenAlex ID: W3021233523

FWCI: 0.305

Cites: 28

Cited by: 2

Related to: 10