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13.002J Introduction to Numeric Analysis for Engineering, Spring 2003

A graphical representation of the functions and the associated interpolation polynomials.
A graphical representation of the functions and the associated interpolation polynomials using 100 sampling points to check the performance of a given algorithm, from Homework 5 in the assignments section. MATLAB® is a registered trademark of The MathWorks, Inc. (Image by Prof. John Leonard.)

Highlights of this Course

This course includes an extensive set of assignments and supplementary files, as well as a sample exam.

Course Description

An introduction to the formulation, methodology, and techniques for numerical solution of engineering problems. Fundamental principles of digital computing and the implications for algorithm accuracy and stability. Error propagation and stability. The solution of systems of linear equations, including direct and iterative techniques. Roots of equations and systems of equations. Numerical interpolation, differentiation and integration. Fundamentals of finite-difference solutions to ordinary differential equations. Error and convergence analysis. Subject taught first half of term.


Technical Requirements

MATLAB® software is required to run the .m files found on this course site.

MATLAB® is a trademark of The MathWorks, Inc.

 

Staff

Instructor:
Prof. John Leonard

Course Meeting Times

Lectures:
Two sessions / week
1.5 hours / session

Level

Undergraduate

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