CS 4220/5223 + MATH 4260

Numerical Analysis: Linear and Nonlinear Problems

Location: Olin 255 (Zoom initially)
Lecture: MWF 11:20-12:10

Prof: David Bindel (bindel@cornell.edu)
OH: Mon 3-4, Fri 1-2 (Gates 405), or by appt

TA: Eric Chen (emc348@cornell.edu)
OH: Tue 5-6 (Zoom), Thu 2-3 (Rhodes 574/Zoom)

TA: Laura Greenstreet (leg86@cornell.edu)
OH: Tue 4-5 (Zoom), Fri 2-3 (Zoom)

TA: Xinran Zhu (xz584@cornell.edu)
OH: Thu 7-9 (Zoom)


2022-05-01: Class and Bindel OH canceled for 05/02.

2022-04-26: Class tomorrow (4/27) will be on Zoom.

2022-03-06: Second correction, change subtraction in p2b to an addition

2022-03-05: Corrected version is posted (only significant fix is changing a function name, p3b to p2c)

2022-03-04: Midterm is posted! Due March 14.

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Scientists, engineers, mathematicians, and computer scientists use models to describe everything from the ringing of bells to the evolution of animal populations to the relationships between web pages. We turn to computers to help us analyze all but the simplest such models; but how can an inherently discrete device such as a computer solve continuous problems quickly and reliably? This is the fundamental question we address in CS 4220: Numerical Analysis: Linear and Nonlinear Problems.

In this semester of the two-part numerical sequence offered jointly with mathematics, we introduce numerical methods for standard problems in linear algebra, then apply them to the solution of nonlinear systems of equations and optimization problems. The course will involve a mix of theoretical and practical exercises that will illustrate how to use numerical tools wisely (we hope!) when solving scientific problems.

See the syllabus for more information on course logistics.