MATH 56 Computational Methods

This course introduces computational algorithms solving problems from a variety of scientific disciplines. Mathematical models describing a phenomenon of interest are typically too complex to construct analytical solutions, leading us to numerical methods. Motivated by models from physics, biology, and medicine, students will develop numerical algorithms and mathematically analyze their accuracy, efficiency, and convergence properties. The course will provide external coding resources as students will implement algorithms in MATLAB. Sample topics include matrix decompositions, inverse problems, optimization, data fitting, and differential equations.

Instructor

Gelb

Prerequisite

MATH 22 or MATH 24, COSC 1 or ENGS 20, or permission of the instructor.

Degree Requirement Attributes

Dist:QDS

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.

Offered

• Winter