Crash Course: Numerical Methods for ODEs in Optimization
A primer on numerical methods for solving Ordinary Differential Equations, tailored for understanding optimization algorithms like Gradient Descent and Momen...
A two-part crash course covering numerical methods for ODEs (relevant to gradient flow and momentum) and numerical linear algebra (for conditioning, iterative solvers, and preconditioning) essential for modern optimization.
A primer on numerical methods for solving Ordinary Differential Equations, tailored for understanding optimization algorithms like Gradient Descent and Momen...
A primer on key concepts from Numerical Linear Algebra crucial for understanding advanced optimization algorithms, focusing on conditioning, solving linear s...
A quick reference guide for key concepts in numerical analysis relevant to optimization, covering ODE solvers and numerical linear algebra.