Math 1070 Fall Semester 2016
Numerical Mathematical Analysis
MWF 10:00-10:50,
300 Old Engineering Hall
Office Hours
MWF 2:00 - 3:00, and by appointment
Office: Thackeray 606
Phone: (412) 624 5681
E-mail: trenchea@pitt.edu
This course is an introduction to modern numerical methods.
Topics include polynomial and spline interpolation, numerical
integration and differentiation, numerical solution of nonlinear
equations and ordinary differential equations. Our goal will be to
understand how and when the methods work. The concept of numerical error
will be used to quantify the accuracy of approximation. We will also
study the stability and the efficiency of the algorithms.
Computer assignments will use Matlab, software produced
by The MathWorks. The Matlab language provides extensive library of
mathematical and
scientific function calls entirely built-in.
Matlab
is available on Unix and Windows in the university computing labs.
The full set of manuals is on the web in
html
and also in
Adobe PDF format. The "Getting Started" manual is a good
place to begin and is available both in html
format and in Adobe
PDF format. The full reference manual as well as manuals for each
of the many toolboxes are all available.
Textbook:
Elementary Numerical Analysis,
3rd edition by
Kendall Atkinson
and Weimin Han.
Course materials
Syllabus
Matlab Primer
Matlab Tutorial:
Postscript;
HTML
Introduction to Matlab exercises by Dr. Mike Sussman:
Preliminaries;
Beginning Matlab
For useful material related to this course go to
Kendall Atkinson's class web page
Software
A collection of matlab codes accompanying the text
Some graphical user interfaces
Additional references
:
Numerical Mathematics, second edition, by A. Quarteroni, R. Sacco, F. Faleri.
Book's Programs
Numerical Methods in Scientific Computing, volume I, by G. Dahlquist, A. Bjorck. SIAM.
Numerical Methods, by G. Dahlquist, A. Bjorck. Dover.
Homework Assignments
Homework 1, Due Friday, September 9, 2016: Section 1.2 #6, 9c, 15
Homework 2, Due Friday, September 16, 2016: Section 2.2 #1b,d, 5b,c, 6f,h;
Section 2.3 #9
Homework 3, Due Monday, September 26, 2016: Section 4.1 #7, 8a, 12-bonus,
23a, 25
Homework 4, Due Friday, October 7, 2016: Section 4.2 #1, 4;
Section 4.3 #1, 11;
Hermite interpolation problem
Homework 5, Due Friday, October 14, 2016:
Section 5.1 #1, 11b,c, 16
Homework 6, Due Wednesday, October 26, 2016: Section 5.2 #1a, 7, 15, 19
Homework 7, Due Wednesday, November 2, 2016: Section 5.3 #2 - only do I-2,
I-3 for 2a,b,c; #9; Section 5.4 #1a, #3 - only do a), #8, #9 - only do a)
Homework 8, Due Friday, November 11, 2016: Section 3.1 #1d, 9;
Section 3.2 #2d, 3, 13 (extra credit); Section 3.3 #1d, 4
Homework 9, Due Monday, November 21, 2016: Section 3.4 #1, 5, 8, 11, 13a
Homework 10, Due Wednesday, November 30, 2016: Section 3.5 #1 (use the code from
newton.m, error_bd = 1e-8, x0 = -1 and 1), 8
Homework 11, Due Wednesday, December 7, 2016
Matlab Assignments
Matlab Exercise 1
(for begining matlab users). Due September 2, 2016.
Alternative Matlab Exercise 1
(for students familiar with matlab). Due September 2, 2016.
Matlab Exercise 2
(for begining matlab users). Due September 12, 2016. NOTE: this is the same
as the Alternative Matlab Exercise 1.
Alternative Matlab Exercise 2
(for students familiar with matlab). Due September 12 2016.
Matlab Exercise 3.
Due Wednesday October 5, 2016.
Matlab Exercise 4.
Due October 28, 2016.
Matlab Exercise 5.
Due November 30, 2016.
Exams
Exam 1: in class on Wednesday, October 12, 2016.
Exam 2: in class on Friday, November 11, 2016.
Final Exam:
determined by the University: 12/17/2016, Saturday
10:00AM - 11:50AM
300 Old Engineering Hall.
Disability Resource Services
If you have a disability for which you are or may be requesting an
accommodation, you are encouraged to contact both your instructor and
Disability Resources and Services, 140 William Pitt Union,
412-648-7890 or 412-383-7355 (TTY) as early as possible in the term. DRS will verify your disability and determine reasonable accommodations for this course.
Academic Integrity
Cheating/plagiarism will not be tolerated.
Students suspected of violating the University of Pittsburgh Policy on
Academic Integrity will incur a minimum sanction of a zero score for the quiz,
exam or paper in question. Additional sanctions may be imposed,
depending on the severity of the infraction.
On homework, you may work with other students or use library resources,
but each student must write up his or her solutions independently.
Copying solutions from other students will be considered cheating, and handled
accordingly.
Statement on Classroom Recording
To address the issue of students recording a lecture or class session, the University’s
Senate Educational Policy Committee issued the recommended statement on May 4, 2010.
“To ensure the free and open discussion of ideas, students may not record classroom lectures, discussion and/or activities without the advance written permission of the instructor, and any such recording properly approved in advance can be used solely for the student’s own private use.”