Harvard AM205 video 1.2 - Interpolating discrete data
Harvard AM205 video 1.1 - Introduction to data fitting
Harvard AM205 video 1.3 - Function approximation
Harvard AM205 video 3.1 - Introduction to numerical calculus
Harvard AM205 video 3.21 - Parabolic PDEs: the heat equation
Harvard AM205 video 4.6 - Optimality conditions and the Hessian
Harvard AM205 video 4.7 - Equality-constrained optimization
Harvard AM205 video 4.9 - Quasi-Newton methods
Harvard AM205 video 3.17 - Advection equation & characteristics
Harvard AM205 video 3.4 - Gauss quadrature
Explicit Upwind Finite Difference Solution to the Advection Equation
Harvard AM205 video 0.3 - Numerical sensitivity
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5.02 Linear Function Approximation
Scientific Computing 19 -- Floating Point Numbers (part 1)
Harvard AM205 video 4.3 - Newton and secant methods
SOS 212: Lecture D1 (2020-02-11) - Introduction to Numerical Simulation of Dynamical Systems, Part 1
Three Different Approximations for the Gamma Function!
ECE595ML Lecture 04-1 Optimality and Convexity
11.2.2 A strategy for computing the SVD, Part 1
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