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Linear Algebra
Linear Algebra: systems of linear equations, matrices, determinants, vector spaces, linear transformations, eigenvalues, inner products, and applications.
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Linear models and systems of linear equationsStart module 1Starting Check for this course (6 questions)Grade University
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- Up nextModule 1 · Linear SystemsLinear models and systems of linear equations
- Not startedModule 2 · Linear SystemsGaussian and Gauss–Jordan elimination
- Not startedModule 3 · Linear SystemsHomogeneous systems and parametric solutions
- Not startedModule 4 · MatricesMatrix operations and matrix algebra
- Not startedModule 5 · MatricesInverses and elementary matrices
- Not startedModule 6 · MatricesBlock matrices and LU factorization
- Not startedModule 7 · DeterminantsDeterminants and cofactor expansion
- Not startedModule 8 · DeterminantsProperties of determinants and Cramer's rule
- Not startedModule 9 · Euclidean Vector SpacesVectors, norm, distance, and the dot product
- Not startedModule 10 · Euclidean Vector SpacesLines, planes, and the cross product
- Not startedModule 11 · Vector SpacesVector space axioms and subspaces
- Not startedModule 12 · Vector SpacesSpan and linear independence
- Not startedModule 13 · Vector SpacesBasis and dimension
- Not startedModule 14 · Vector SpacesRow space, column space, and null space
- Not startedModule 15 · Vector SpacesRank, nullity, and the dimension theorem
- Not startedModule 16 · Linear TransformationsLinear transformations, kernel, and range
- Not startedModule 17 · Linear TransformationsMatrix representations of linear transformations
- Not startedModule 18 · Linear TransformationsChange of basis and similarity
- Not startedModule 19 · EigenvaluesEigenvalues and eigenvectors
- Not startedModule 20 · EigenvaluesDiagonalization
- Not startedModule 21 · EigenvaluesComplex eigenvalues
- Not startedModule 22 · Inner Product SpacesInner products and orthogonality
- Not startedModule 23 · Inner Product SpacesGram–Schmidt and orthonormal bases
- Not startedModule 24 · Inner Product SpacesOrthogonal projections and least squares
- Not startedModule 25 · Inner Product SpacesSymmetric matrices and orthogonal diagonalization
- Not startedModule 26 · ApplicationsQuadratic forms
- Not startedModule 27 · ApplicationsMarkov chains
- Not startedModule 28 · ApplicationsSystems of linear differential equations
- Not startedModule 29 · Numerical MethodsError and stability in linear computations