Estimated Time to Complete
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What You'll Learn
Concepts:
Linear Algebra: Solving Ax=b Using Gaussian Elimination to Find Pivots and Back Substitution
Matrix Multiplication Rules in Linear Algebra
Row Operations in Gaussian Elimination Algorithm
Orthogonal Projection in Linear Algebra
Least Squares Estimation in Regression Analysis
Gram-Schmidt Orthogonalization Algorithm
Determinant Calculation for Square Matrices
Determinant Calculation in Linear Algebra via Expansion Along Any Row or Column
Cramer's rule, explained geometrically
Eigenvalues and Eigenvectors in Linear Algebra
Linear Algebra: Row Exchanges and Permutation Matrices in Factorization
Computing Dimensions of Null Space and Column Space in Linear Algebra
Solving Ax = 0 via Reduced Row Echelon Form in Linear Algebra
Linear Algebra solutions to Ax=b and homogeneous systems Ax=0 visualized in vector space
Linear Independence of Basis Vectors in Euclidean Space
Linear Algebra: Dimension and Basis for Matrix Spaces from Symmetric Matrices to Small World Graphs
Linear Algebra Diagonalization Using Eigenvectors and Eigenvalues for Square Matrices
23. Differential Equations and exp(At)
Matrix Similarity in Linear Algebra
Finding Singular Value Decomposition of Matrices in Linear Algebra
Linear Transformations in Linear Algebra
Linear Algebra image compression using change of basis and Fourier transform in JPEG standard
33. Left and Right Inverses; Pseudoinverse
Linear Systems of Equations in Linear Algebra
Linear Algebra Matrix Vector Multiplication Equation Ax equals B in Linear Algebra
Incidence Matrices and Kirchhoff's Laws in Linear Algebra for Electrical Networks
Orthogonal Projections in Linear Algebra
Linear Algebra Markov Matrices Steady State Applications Fourier Series
24b. Quiz 2 Review
Eigenvalues and Eigenvectors for Symmetric Matrices
Complex Numbers and Hermitian Matrices in Linear Algebra via the Fast Fourier Transform (FFT)