Check your scores (activated 2/17/03)
Handouts so far
- Syllabus
- Course requirements and grading policy
- Problem Set 1. (Correction made to Q1 on 1/30/03) Example files for Q2: examplediff.m and examplediff_output.txt.
- Problem Set 2. M-files for Q1: pwCEval.m, CubicSpline.m, Locate.m. M-files for Q3: pwQSpline.m, VLocate.m.
- Problem Set 1 solutions
- Practice Prelim 1
- Problem Set 2 solutions
- Prelim 1
- Prelim 1 Solutions
- Problem Set 3
- Problem Set 4. Note: corrected version of Q1 posted on 3/27/03.
- Problem Set 3 Solutions
- Problem Set 4 Solutions
- Practice Prelim 2
- Problem Set 5
- Prelim 2
- Prelim 2 Solutions
- Problem Set 6
- Problem Set 5 solutions
- Practice Final
Some relevant websites
Course goal
To learn principles of scientific computing, that is, algorithms and software tools for problems arising in science and engineering involving real number computation. Algorithms will be designed, analyzed and implemented in Matlab. Some applications will be presented.Lectures
Mondays and Wednesdays 10:10-11:00, Phillips 101.Sections
- Section 1: Thursday 12:20-1:10, Hollister 320, Srijuntongsiri.
- Section 2: Thursday, 3:35-4:25, Hollister 206, Srijuntongsiri.
- Section 3: Friday, 2:30-3:20, Hollister 206, Faradjian.
- Section 4: Friday, 3:35-4:25, Hollister 206, Faradjian.
Instructor
S. Vavasis493 Rhodes Hall
255-9213
Email: vavasis@cs.cornell.edu
Office hours: Tues 2:30-4:00 and Thurs 10:30-12:00.
Teaching Assistants
-
Tony Faradjian
tony@cs.cornell.edu
Office hours: Mon, 1:00-3:00.
Location 328C Upson
-
Gun Srijuntongsiri
gunsri@cs.cornell.edu
Office hours: Tues., 1:30-2:30 and Wed., 2:00-3:00.
Location 328C Upson
Text
C. Van Loan, Introduction to Scientific Computing (required).
Prerequisites
- Knowledge of math equivalent to Math 191-294
- Knowledge of programming equivalent to CS 100.