M368K NUMERICAL MATHEMATICS FOR APPLICATIONS
Prerequisite and degree relevance:
A grade of at least C in M427K and in either M341, M340L or M311. This course is part of the mathematics Numerical Analysis Track.
Course description:
Introduction to numerical methods for applied problems in science and engineering. Topics may include floating-point representation, numerical errors, and the numerical approximation of problems such as locating roots of equations, interpolation, numerical differentiation and integration, systems of linear equations, approximation by splines and orthogonal polynomials, smoothing of data and method of least squares, two point boundary value problems, ordinary and partial differential equations, Monte Carlo methods and simulation, optimization, approximation of eigenvalues, signal processing, and linear programming.