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ASEN 3502
Home
Policy and Logistics
Syllabus
Schedule
Teaching Team
AI Policy
Materials
Lecture Notes
Assignments
Exam Preparation
Learning Resources
Demos
Gaussian Elimination
Big-O Definition
Condition Number
Incremental Search
Newton-Raphson
Newton-Raphson for Systems
Euler's Method
Runge-Kutta Methods
Stiff Systems
Boundary Value Problems
Optimization
One-Dimensional Search
Gradient Descent
Newton's Method and Conjugate Gradient
Constrained Optimization
Augmented Lagrangian
Adam
Guides
Function Growth and Convergence
Course Foundations
Course Learning Outcomes
Topics, Concepts, and Skills
List of Algorithms
Announcements (Canvas)
Solutions (Canvas)
Textbook
Gradescope
Lecture Videos
GitHub
Policy and Logistics
How the course runs: policies, the schedule, and who to talk to.
Table of contents
Syllabus
Schedule
Teaching Team
AI Policy