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Numerical Analysis

Instructor:
Duc Nguyen
537
Credits:
3.0
002
Building:
Whitehall Classroom Bldg
Room:
Rm.347
Semester:
Spring 2023
Start Date:
End Date:
Name:
Numerical Analysis
Requisites:

Prereq: CS/MA 321 or equivalent, or graduate standing or consent of instructor. Knowledge of a procedural computer language is required.

Class Type:
LEC
11:00 am
11:50 am
Days:
MWF

Floating point arithmetic. Direct methods for the solution of systems of linear algebraic equations. Polynomial and piecewise polynomial approximation, orthogonal polynomials. Numerical integration: Newton Cotes formulas and Gaussian quadrature. Basic methods for initial value problems for ordinary differential equations. The emphasis throughout is on the under- standing and use of software packages for the solution of commonly occurring problems in science and engineering.

Floating point arithmetic. Direct methods for the solution of systems of linear algebraic equations. Polynomial and piecewise polynomial approximation, orthogonal polynomials. Numerical integration: Newton Cotes formulas and Gaussian quadrature. Basic methods for initial value problems for ordinary differential equations. The emphasis throughout is on the under- standing and use of software packages for the solution of commonly occurring problems in science and engineering.

EGR