Archived:

## Math Methods of Applied Sciences II

Review of vector calculus and and its application to partial differential equations.

## Numerical Methods for Ordinary Differential Equations

Analysis and implementation of numerical methods for initial and two point boundary value problems for ordinary differential equations.

## Iterative Methods for Systems of Equations

Iterative methods for linear and nonlinear systems of equations including Jacobi, G-S, SOR, CG, multigrid, fixed point methods, Newton quasi-Newton, updating, gradient methods. Crosslisted with CSE 6644.

## Numerical Linear Algebra

Introduction to the numerical solution of the classic problems of linear algebra including linear systems, least squares, SVD, eigenvalue problems. Crosslisted with CSE 6643.

## Advanced Numerical Methods for Partial Differential Equations

Analysis and implementation of numerical methods for nonlinear partial differential equations including elliptic, hyperbolic, and/or parabolic problems.

## Numerical Methods in Finance

This course contains the basic numerical and simulation techniques for the pricing of derivative securities.

## Differential Geometry I

Core topics in differential and Riemannian geometry including Lie groups, curvature, relations with topology.

## Partial Differential Equations II

This course covers the general mathematical theory of linear stationary and evolution problems plus selected topics chosen on the instructor's interests.

## Complex Analysis

Complex integration, including Goursat's theorem; classification of singularities, the argument principle, the maximum principle; Riemann Mapping theorem; analytic continuation and Riemann surfaces; range of an analytic function, including Picard's theorem.

## Ordinary Differential Equations II

This sequence develops the qualitative theory for systems of differential equations. Topics include stability, Lyapunov functions, Floquet theory, attractors, invariant manifolds, bifurcation theory, and normal forms. (2nd of two courses)