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