MATH 375, Introduction to Numerical Computing
General description
The goal of this course is to introduce basic techniques for the efficient numerical solution of different types of linear and non-linear problems. Topics covered include: root finding, direct and iterative methods, interpolation, integration, differentiation, and ordinary differential equations. We will learn and use MATLAB to implement numerical algorithms.
Text book
Numerical Analysis by Timothy Sauer, 2nd edition.
Office hours
MWF 13:30-14:20 SMLC 216
Syllabus
(Updated on October 07, 2013!!)
Tentative Schedule
(Updated on November 08, 2013!!)
Assignments
HW 1
HW 2
HW 3
HW 4
HW 5
HW 6
HW 7
HW 8
HW 9
HW 10
eiffel1.mat
eiffel2.mat
eiffel3.mat
eiffel4.mat
trussplot.m
Legendre_knots.m
NOTE: HW5 is to be presented in class on Friday September 27. Here is the SCHEDULE.
Lecture notes
Introduction to Matlab:
Lecture 1
Lecture 2
Lecture 3
Solving scalar equations:
Lecture 4
Lecture 5
Lecture 6
Lecture 7
Lecture 8
Lecture 9
Lecture 10
Finite precision effects:
Lecture 11
Lecture 12
Solving systems of linear equations:
Lecture 14
Lecture 15
Lecture 16
Lecture 18
Lecture 19
Lecture 20
Lecture21A
Interpolation:
Lecture 21B
Lecture 22
Lecture 23
Lecture 24
Lecture 25
Lecture 26
Least Squares:
Lecture 29
Lecture 30
Lecture 31
Numerical Differentiation:
Lecture 32
Numerical Integration:
Lecture 33
Lecture 34
Lecture 35
Initial Value Problems:
Lecture 36
Lecture 37
Lecture 38
Lecture 39
Lecture 40
Review Lectures (will not be uploaded):
Lecture 13, Lecture 17, Lecture 27, Lecture 28, Lecture 41
Exams
Midterm 1 (Oct 02, 2013 in class): questions&
solutions
Midterm 2 (Nov 01, 2013 in class): study questions question&solutions
Final (Dec 11, 2013): study questions for Final
(Updated on December 02, 2013!)
motamed@math.unm.edu
Last updated: December 02, 2013
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