Prelinear Algebra. 1 : Gauss Jordan Elimination. 2 : Finding Number of Solutions. 3 : Multiplying Matrices. 4 : Orthogonal Complements. 5 : Elimination Matrix & Vectors. 6 : Vector & Spans. 7 : Subspaces. 8 : Basis & Cauchy Schwarz Inequality. 9 : Plane Equations & Vector Triangle Inequality, 10 : Cross Product.
Overview
Syllabus
Prelinear Algebra.
Linear Algebra.
Linear Algebra 2 : Gauss Jordan Elimination.
Linear Algebra 3 : Finding Number of Solutions.
Linear Algebra 4 : Multiplying Matrices.
Linear Algebra 5 : Elimination Matrix & Vectors.
Linear Algebra 6 : Vectors & Spans.
Linear Algebra 7 : Subspaces.
Linear Algebra 8 : Basis & Cauchy Schwarz Inequality.
Linear Algebra 9 : Plane Equations & Vector Triangle Inequality.
Linear Algebra 10 : Cross Product.
Linear Algebra 11: Null Space.
Linear Algebra 12 : Solving Ax = b.
Linear Algebra 13 : Linear Transformations.
Linear Algebra 14 : Magic Transformations.
Linear Algebra 15 : Rotate & Scale Vectors.
Linear Algebra 16 : Linear Transformation Projections.
Linear Algebra 17 : Determinants.
Linear Algebra 18 : Determinants & Systems of Equations.
Linear Algebra 19 : Find Area with Determinants.
Linear Algebra 20 : Transpose.
Linear Algebra 21 : 4 Fundamental Subspaces.
Linear Algebra 22 : Orthogonal Complements.
Linear Algebra 23 : Projections on Any Subspace.
Linear Algebra 24 : Least Squares Method.
Linear Algebra 25 : Change of Basis Matrix.
Linear Algebra 26 : Orthonormal Basis.
Linear Algebra 27 : Gram-Schmidt Process.
Linear Algebra 28 : Eigenvalues and Eigenvectors.
Linear Algebra 29 : Final Video.
Taught by
Derek Banas
