MATH 3795
Dmitriy Leykekhman
Fall 2008
Goals:
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Course Information.
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Basic Matlab.
D. Leykekhman - MATH 3795 Introduction to Computational Mathematics
Course info
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Course Info.
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Instructor: Dmitriy Leykekhman
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Office: MARINE SCIENCES BUILDING, 190
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Phone: 405-9294
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Office Hours:
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e-mail: dmitriy.leykekhman@uconn.edu
Time and Room:
Tuesday/Thursday 9:30am - 10:45am, Room: MAR 122
D. Leykekhman - MATH 3795 Introduction to Computational Mathematics
Course info
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Topics.
I am planning to cover the following topics:
1. Basic Matlab
2. Floating Point Arithmetic
3. Solution of systems of linear equations
4. Gaussian elimination and LU decomposition
5. Linear Least Squares
6. Regularized Least Squares
7. Data Assimilation
8. Solution of Nonlinear Equations
9. Polynomial Interpolation
10. Numerical Integration
11. Solution of Ordinary Differential Equations
12. Applications and Modeling
D. Leykekhman - MATH 3795 Introduction to Computational Mathematics
Course info
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References.
Course website:
http://www.math.uconn.edu/ leykekhman/courses/MATH3795/math3795.html
Textbook: We will use the book Cleve Moler: Numerical Computing
with Matlab, SIAM Philadelphia, 2004.
PDF version is available at
http://www.mathworks.com/moler/
D. Leykekhman - MATH 3795 Introduction to Computational Mathematics
Course info
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4
References.
Course website:
http://www.math.uconn.edu/ leykekhman/courses/MATH3795/math3795.html
Textbook: We will use the book Cleve Moler: Numerical Computing
with Matlab, SIAM Philadelphia, 2004.
PDF version is available at
http://www.mathworks.com/moler/
I will use heavily the material from the course by M. Heinkenschloss
http://www.caam.rice.edu/∼ caam353/
D. Leykekhman - MATH 3795 Introduction to Computational Mathematics
Course info
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4
References.
Course website:
http://www.math.uconn.edu/ leykekhman/courses/MATH3795/math3795.html
Textbook: We will use the book Cleve Moler: Numerical Computing
with Matlab, SIAM Philadelphia, 2004.
PDF version is available at
http://www.mathworks.com/moler/
I will use heavily the material from the course by M. Heinkenschloss
http://www.caam.rice.edu/∼ caam353/
Additional references:
Charles Van Loan, Introduction to Scientific Computing: A Matrix-Vector
Approach Using MATLAB
Gene Golub and Charles Van Loan, Matrix Computations (advanced).
D. Leykekhman - MATH 3795 Introduction to Computational Mathematics
Course info
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Grading.
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Homework will be assigned roughly once a week.
D. Leykekhman - MATH 3795 Introduction to Computational Mathematics
Course info
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5
Grading.
I
Homework will be assigned roughly once a week.
I
Unless noted otherwise, you may discuss homework with fellow
classmates. You are expected, however, to individually write up your
solutions.
D. Leykekhman - MATH 3795 Introduction to Computational Mathematics
Course info
–
5
Grading.
I
Homework will be assigned roughly once a week.
I
Unless noted otherwise, you may discuss homework with fellow
classmates. You are expected, however, to individually write up your
solutions.
I
In the second half of the course you will be given some
mathematical modeling project.
D. Leykekhman - MATH 3795 Introduction to Computational Mathematics
Course info
–
5
Grading.
I
Homework will be assigned roughly once a week.
I
Unless noted otherwise, you may discuss homework with fellow
classmates. You are expected, however, to individually write up your
solutions.
I
In the second half of the course you will be given some
mathematical modeling project.
I
The grade will be determined from your scores on the homework
assignments and the project.
D. Leykekhman - MATH 3795 Introduction to Computational Mathematics
Course info
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