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Harvard AM205 video 1.7 - Underdetermined least squares
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Harvard Applied Math 205 is a graduate-level course on scientific computing and numerical methods. This video considers underdetermined linear systems that have more parameters than constraints. The video demonstrates how the previous linear least squares framework can be generalized to handle problems of this type.
Harvard AM205 video 1.7 - Underdetermined least squares
Harvard AM205 video 3.1 - Introduction to numerical calculus
Harvard AM205 video 1.2 - Interpolating discrete data
Harvard AM205 video 1.6 - Linear least squares
Harvard AM205 video 0.1 - Introduction
Harvard AM205 video 5.1 - Introduction to eigenvalue problems
Harvard AM205 video 2.7 - QR decomposition
Harvard AM205 video 3.7 - ODE initial value problems
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Harvard AM205 video 3.12 - ODE error estimation
Harvard AM205 video 1.3 - Function approximation
Harvard AM205 video 1.4 - The Lebesgue constant
Harvard AM205 video 4.5 - Conditions for a global minimum
Harvard AM205 video 4.1 - Introduction to nonlinear equations and optimization
Harvard AM205 video 4.3 - Newton and secant methods
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Harvard AM205 video 4.8 - Steepest descent and Newton methods for optimization
Harvard AM205 video 3.19 - Accuracy and stability for finite-difference schemes
Harvard AM205 video 4.7 - Equality-constrained optimization
Harvard AM205 video 3.18 - CFL condition & upwinding
Harvard AM205 video 3.15 - ODE boundary value problems
Harvard AM205 video 2.11 - Singular value decomposition
Harvard AM205 video 2.2 - Norms
Harvard AM205 video 2.10 - Givens rotations
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