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Theory of Computation and Automata - Shai Simonson
Introduction to Algorithmic Differentiation (AD I)
2.160 Identification, Estimation, and Learning
DAEs
Differential and Integral Calculus 1
Differential and Integral Calculus 2
Direct Methods for Sparse Linear Systems
Geometric Numerical Integration
Information Geometry and its Applications
Numerical Methods for Physical Modeling
Numerical Ordinary Differential Equations (Graduate)
Numerical Ordinary Differential Equations (Undergraduate)
Optimization on Manifolds (course)
Linear Programming
Numerical Analysis of Ordinary Differential Equations
Numerical Method for Ordinary Differential Equations
Optimization
Optimal Control - 2022
Optimal Control 2023
Matrix Calculus for Machine Learning and Beyond
Is the Future of Linear Algebra.. Random?
Inexact Newton with Iterated Sensitivities for Optimization of Partial Differential Equation
Theory of Computation
FEM@LLNL | Supercharging Programming Through Compiler Technology
Alice's Adventures in a Differentiable Wonderland -- Volume I, A Tour of the Land
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