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  1. Find the bases for the eigenspaces corresponding to each eigenvalue of matrix = [16 -35, 6 -13]

    Find the bases for the eigenspaces corresponding to each eigenvalue of matrix = [16 -35, 6 -13]

    26
  2. Complex Eigenvalues, Eigenvectors, Vector Spaces, Inner Product - Linear Algebra

    Complex Eigenvalues, Eigenvectors, Vector Spaces, Inner Product - Linear Algebra

    2
    0
    89
  3. Eigenvalues and Eigenvectors, Eigenspaces, Basis vectors - Linear Algebra

    Eigenvalues and Eigenvectors, Eigenspaces, Basis vectors - Linear Algebra

    110
    1
  4. Solving Linear Systems of ODEs, Diagonalization, Eigenvalues - Linear Algebra

    Solving Linear Systems of ODEs, Diagonalization, Eigenvalues - Linear Algebra

    47
  5. Power Method and Sequences, Estimating Eigenvalues and Eigenvectors, Convergence - Linear Algebra

    Power Method and Sequences, Estimating Eigenvalues and Eigenvectors, Convergence - Linear Algebra

    35
  6. Tom Numbers & Juan O Savin | Git yur head ouch ur ars

    Tom Numbers & Juan O Savin | Git yur head ouch ur ars

    424
    1
  7. Tom Numbers & Juan O Savin | Git yur head ouch ur ars

    Tom Numbers & Juan O Savin | Git yur head ouch ur ars

    3
    0
    415
  8. Tom Numbers & Juan O Savin | Git yur head ouch ur ars

    Tom Numbers & Juan O Savin | Git yur head ouch ur ars

    491
    1
  9. Hermitian and Unitary Matrices, Complex Matrix Diagonalization - Linear Algebra

    Hermitian and Unitary Matrices, Complex Matrix Diagonalization - Linear Algebra

    134
  10. Linear Algebra by Gilbert Strang | Summary

    Linear Algebra by Gilbert Strang | Summary

    11
  11. Similar Matrices, Diagonalization, Geometric vs Algebraic Multiplicity - Linear Algebra

    Similar Matrices, Diagonalization, Geometric vs Algebraic Multiplicity - Linear Algebra

    44