A Compressed Sensing Approach for Partial Differential Equations With Random Input Data

Communications in Computational Physics - United Kingdom
doi 10.4208/cicp.151110.090911a
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Global Science Press

Related search

A Stochastic Collocation Method for Elliptic Partial Differential Equations With Random Input Data

SIAM Review
Computational MathematicsApplied MathematicsTheoretical Computer Science
2010English

Compressed-Sensing MRI With Random Encoding

IEEE Transactions on Medical Imaging
Electronic EngineeringUltrasound TechnologyRadiologicalComputer Science ApplicationsElectricalSoftware
2011English

Numerical Analysis for Problems of Remote Sensing With Random Input Data

E3S Web of Conferences
EarthEnergyPlanetary SciencesEnvironmental Science
2019English

Random Evolutions, Markov Chains, and Systems of Partial Differential Equations

Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
1969English

Partial Differential Equations With Delayed Random Perturbations: Existence Uniqueness and Stability of Solutions

Stochastic Analysis and Applications
UncertaintyApplied MathematicsStatisticsProbability
1993English

Differential Games for Stochastic Partial Differential Equations

Nagoya Mathematical Journal
Mathematics
1993English

Stochastic Differential Equations With Random Coefficients

Bernoulli
StatisticsProbability
1997English

Solving Partial Differential Equations in a Data-Driven Multiprocessor Environment

English

Systematic Discretization of Input/Output Maps and Control of Partial Differential Equations

2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy