Study and design of mathematical models for the numerical solution of scientific problems. This includes numerical methods for the solution on linear and nonlinear systems, basic data fitting problems, and ordinary differential equations. Robustness, accuracy, and speed of convergence of algorithms will be investigated including the basics of computer arithmetic and round-off errors. Same as MMAE 350.
[(CS 104 with min. grade of D) OR (CS 105 with min. grade of D) OR (CS 115 with min. grade of D)] AND [(MATH 251 with min. grade of D)] AND [(MATH 252* with min. grade of D)] An asterisk (*) designates a course which may be taken concurrently.