MATH 365 - Computational Linear Algebra

Cross-Listed as COMP 365

This course covers a central point of contact between mathematics and computer science. Many of the computational techniques important in science, commerce, and statistics are based on concepts from linear algebra: subspaces, projection, matrix decompositions, etc. The course reviews these concepts, adopts them to large scales, and applies them in the core techniques of scientific computing; solving systems of linear and nonlinear equations, approximation and statistical function estimation, optimization, interpolation, Monte Carlo techniques. Applications throughout the sciences and statistics. Prerequisite(s): COMP 120 or COMP 123, and MATH 236 Every spring. (4 Credits)