Global and local optimization, constrained and unconstrained optimization, convex versus nonconvex optimization, Projection Theorem, linear search methods, gradient methods, Newton and Quasi-Newton methods, trust region methods.

Prerequisites: Math 6A and 108A, each with a minimum grade of C.

4

Units

Optional

Grading

1

Passtime

None

Level Limit

Letters and science

College
These majors only matcs math finms mthsc amath
CASTEELS K L
Karel Casteels
4.3
42 reviews

Lecture

NH 1109
M W F
11:00 AM - 11:50 AM
45 / 45 Full
Winter 2024 . Casteels K L
ARTS 1356
M W F
11:00 AM - 11:50 AM
See All
MATH 132A Casteels K L Winter 2024 Total: 57
MATH 132A Casteels K L Spring 2017 Total: 36
See All
42
4.3
MATH132A . Casteels K L 7 Years Ago

He could work on explaining the algorithms we learn in this class to make them easier to work with, but he's very aware of this & you can tell he tries really hard to be as clear as he can. Funny guy, very lenient grader here since this class was mainly algorithms. As long as he saw you were using them right, you'd get most credit. 10/10 very fair.

4 helpful 1 unhelpful
MATHCS120 . Casteels K L 2 Months Ago

This prof would constantly forget to post important things on canvas which can be really annoying when you're trying really hard to get a good grade in the class. Homework is really hard and it just doesn't seem like he gaf. Somewhat funny but makes everything more complicated than they need to be

0 helpful 0 unhelpful
MATH117 . Casteels K L 3 Months Ago

He's the one

0 helpful 0 unhelpful
MATH117 . Casteels K L 3 Months Ago

He is GOAT

0 helpful 0 unhelpful
MATHCS120 . Casteels K L 5 Months Ago

The game theory class taken with Karel is really fun, the concepts are explained in a way that's easier to understand, and he's also accessible during office hour (a lot of OH). Though sometimes he would forget to post some important stuff (like homework on gradescope, or lecture notes he promised), but the class is really good.

0 helpful 0 unhelpful
MATH137A . Casteels K L 1 Year, 5 Months Ago

Very engaging lecturer, great sense of humor. Extremely timely with email repsonses. Grading was homework, 2 midterms, and a final. Holds a lot of office hours. Homework can be tough but he'll help you in OH. Midterms generally easier than homework. Also just a nice guy

0 helpful 0 unhelpful
See all 42 reviews
See All
MATH 132A
45 / 45 Full
Optimization
Paul Atzberger 2.6
T R
09:30 AM - 10:45 AM
44.9% A
MATH CS 120FT
14 / 30 Enrolled
Topology
Stephen Bigelow 3.4
T R
09:00 AM - 10:15 AM
MATH 122A
28 / 60 Enrolled
Theory of Complex Variables
Denis Labutin 2.8
M W F
10:00 AM - 10:50 AM
35.7% A
MATH 122A
41 / 50 Enrolled
Theory of Complex Variables
Therese Landry 3.3
T R
11:00 AM - 12:15 PM
35.7% A
MATH CS 122A
15 / 25 Enrolled
Complex Variables I
Xiaolei Zhao 3.8
M W
11:00 AM - 12:15 PM
100.0% A
MATH 124A
50 / 50 Full
Partial Differential Equations
XU Yang 2.8
T R
12:30 PM - 13:45 PM
45.7% A
MATH 124A
50 / 50 Full
Partial Differential Equations
Therese Landry 3.3
T R
15:30 PM - 16:45 PM
45.7% A