Justin Solomon

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339 videos

Associate professor, MIT Department of Electrical Engineering and Computer Science http://people.csail.mit.edu/jsolomon/ Accessibility (for MIT-related conte...

Latest Videos

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

Numerical Algorithms for Computing & ML, fall 2025 (lecture 25) ExponentialRKNewmark 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 QuadratureNumerical 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

Numerical Algorithms for Computing & ML, fall 2025 (lecture 11) Procrustes problem, root finding

Numerical Algorithms for Computing & ML, fall 2025 (lecture 10) Re-deriving SVD, SVD applications

Numerical Algorithms for Computing & ML, fall 2025 (lecture 9) QR iteration, intro to SVD

Numerical Algorithms for Computing & ML, fall 2025 (lecture 7) Applications of eigenvalues

Numerical Algorithms for Computing & ML, fall 2025 (lecture 6) QR factorization

Numerical Algorithms for Computing & ML, fall 2025 (lecture 5) Condition number for linear systems

Numerical Algorithms for Computing & ML, fall 2025 (lecture 4) Cholesky factorization

Numerical Algorithms for Computing & ML, fall 2025 (lecture 3) LU factorization, least-squares

Numerical Algorithms for Computing & ML, fall 2025 (lecture 2) Conditioning, Gaussian elimination

Numerical Algorithms for Computing & ML, fall 2025 (lecture 1) Introduction, number systems

Shape Analysis, spring 2023 (lecture 3) Smooth curves

Lecture 5 Smooth and discrete surfaces (warning camera broke!)

Shape Analysis, spring 2023 (lecture 21) More optimal transport

Shape Analysis, spring 2023 (lecture 7) Discrete curvature

Shape Analysis, spring 2023 (lecture 11) Structure-preserving embedding