Mathematical approaches for numerically solving partial differential equations. The focus will be (a) iterative solution methods for linear and non-linear equations, (b) spatial discretization and ...

A partial differential equation (PDE) is a mathematical equation that involves multiple independent variables, an unknown function that is dependent on those variables, and partial derivatives of the ...

Discontinuous Galerkin (DG) methods are a class of numerical techniques used to solve partial differential equations (PDEs ... methods for hyperbolic linear symmetric Friedrichs systems, which ...

This analog computer on a chip is useful for certain kinds of operations that CPUs are historically not efficient at, including solving differential equations. Other applications include matrix ...

Certain linear and nonlinear partial differential equations are closely connected to these research areas. My broader interest lies in probability theory in general.

Topics include methods of solutions for linear and non-linear first order differential equations, linear second order differential equations, higher order linear differential equations, systems of ...

non-linear partial differential equations, where the standard methods fail. Thus, finding non-trivial solutions is challenging. Anna Siffert, born 1985, received her diploma from the University of ...

Introduces ordinary differential equations, systems of linear equations, matrices, determinants, vector spaces, linear transformations, and systems of linear differential equations. Prereq., APPM 1360 ...

Partial Differential Equations (PDEs) are central to both pure ... Einstein field equations form a system of non-linear PDEs which relate the spacetime geometry to the distribution of mass-energy ...