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Numerical Methods for Differential Equations

Numerical Methods for Differential Equations

9 faculty research Numerical Methods for Differential Equations on GradNova.

A
Advanced Numerical Methods in Computational Mathematics
Atmospheric Chemistry and Aerosols
Climate Variability and Models
Meteorological Phenomena and Simulations
+1
J
Matrix Theory and Algorithms
Numerical Methods for Differential Equations
Semiconductor Materials and Devices
L
Advanced Numerical Analysis Techniques
Matrix Theory and Algorithms
Numerical Methods and Algorithms
Numerical Methods for Differential Equations
+1
V
Vipin Kumar

Regents Professor, William Norris Land Grant Chair in Large-Scale Computing, Data Science Initiative Director

Computer Science

University of Minnesota

Fractional Differential Equations Solutions
Neural Networks Stability and Synchronization
Nonlinear Differential Equations Analysis
Numerical Methods for Differential Equations
+1
D
Daniel Boley

Professor, Distinguished University Teaching Professor

Computer Science

University of Minnesota

Face and Expression Recognition
Matrix Theory and Algorithms
Numerical Methods for Differential Equations
Sparse and Compressive Sensing Techniques
+1
L
Distributed and Parallel Computing Systems
Gene Regulatory Network Analysis
Model Reduction and Neural Networks
Numerical Methods for Differential Equations
+1
V
Vivek Sarin

Associate Professor, Computer Science & Engineering

Computer Science

Texas A&M University

Advanced Numerical Methods in Computational Mathematics
Electromagnetic Scattering and Analysis
Electromagnetic Simulation and Numerical Methods
Matrix Theory and Algorithms
+1
M
Advanced Numerical Methods in Computational Mathematics
COVID-19 Epidemiological Studies
Mathematical and Theoretical Epidemiology and Ecology Models
Model Reduction and Neural Networks
+1
L
Advanced Control Systems Optimization
Matrix Theory and Algorithms
Numerical Methods for Differential Equations
Stability and Control of Uncertain Systems
+1