RSSAmplifier

Blog

Justin Solomon

youtube.com ↗RSS feed ↗15 posts

Latest posts

Numerical Algorithms for Computing & ML, fall 2025 (lecture 26): Leapfrog integration,adjoint method

Numerical Algorithms for Computing & ML, fall 2025 (lecture 25): Exponential/RK/Newmark integration

Numerical Algorithms for Computing & ML, fall 2025 (lecture 24): Ordinary differential equations

Numerical Algorithms for Computing & ML, fall 2025 (lecture 23): Numerical integrals and derivatives

Numerical Algorithms for Computing & ML, fall 2025 (lecture 22): 1D Quadrature/Numerical Integration

Numerical Algorithms for Computing & ML, fall 2025 (lecture 21): Interpolation

Numerical Algorithms for Computing & ML, fall 2025 (lecture 20): Alternating optimization and ADMM

Numerical Algorithms for Computing & ML, fall 2025 (lecture 19): Gauss-Newton, Levenberg-Marquardt

Numerical Algorithms for Computing & ML, fall 2025 (lecture 18): Conjugate gradient algorithm

Numerical Algorithms for Computing & ML, fall 2025 (lecture 17): Active set, barrier, intro to CG

Numerical Algorithms for Computing & ML, fall 2025 (lecture 16): Constrained optim., KKT conditions

Numerical Algorithms for Computing & ML, fall 2025 (lecture 15): BFGS and Quasi-Newton Methods

Numerical Algorithms for Computing & ML, fall 2025 (lecture 14): Convergence of gradient descent

Numerical Algorithms for Computing & ML, fall 2025 (lecture 13): Golden sec search, Wolfe conditions

Numerical Algorithms for Computing & ML, fall 2025 (lecture 12): Broyden's method, root finding