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Numerical Analysis

Course #: MATH 425

Description:
This course provides an introduction to numerical analysis and its applications in practical problems in applied mathematics and engineering. In most scientific modeling projects, investigators have to deal with very large systems of linear and nonlinear equations. Understanding of which requires powerful computers and a firm understanding of the vast number of existing pertinent algorithms. The main goal of the course is to provide an instruction to algorithmic and mathematical foundations of high-performance scientific computations. Introductory topics of the course include root finding, fixed point methods, interpolation methods, initial value problems and optimization. Particular emphasis will be on optimization methods, including steepest descent, line search methods, newton methods, quasi-Newton methods, trust regions, theory of constraint optimization and linear programming.

Pre Requisites: Pre-requisite: MATH 242 and MATH 260 and CS 110 or permission of instructor

Offered in:

2023 Fall

Section Class Number Schedule/Time Instructor Location
01 3253 TuTh
5:30 - 6:45 pm
Zarringhalam,Kourosh Wheatley W01-0047
Session: Regular
Class Dates: 09/05/2023 - 12/13/2023
Capacity: 25
Enrolled: 9
Status: Open
Credits: 3/3
Class Notes:
Pre Requisites: Pre-requisite: MATH 242 and MATH 260 and CS 110 or permission of instructor
Course Attributes:

2024 Fall

Section Class Number Schedule/Time Instructor Location
01 3125 TuTh
5:30 - 6:45 pm
TBD University Hall Y04-4190
Session: Regular
Class Dates: 09/03/2024 - 12/13/2024
Capacity: 25
Enrolled: 6
Status: Open
Credits: 3/3
Class Notes:
Pre Requisites: Pre-requisite: MATH 242 and MATH 260 and CS 110 or permission of instructor
Course Attributes: