Description
Vectors and spaces
Vectors
Linear combinations and spans
Linear dependence and independence
Subspaces and the basis for a subspace
Vector dot and cross products
Matrices for solving systems by elimination
Null space and column space
Matrix transformations
Functions and linear transformations
Linear transformation examples
Transformations and matrix multiplication
Inverse functions and transformations
Finding inverses and determinants
More determinant depth
Transpose of a matrix
Alternate coordinate systems (bases)
Orthogonal complements
Orthogonal projections
Change of basis
Orthonormal bases and the Gram-Schmidt process
Eigen-everything
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Training Type: Online Live Interactive Session.
Experienced Faculty.
1 ON 1 Sessions.
Duration 40 Hours.
Access to Class Recordings.
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