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Linear algebra.
Structs§
- A tensor of floating point values.
Functions§
- Cholesky decomposition of a symmetric, positive-definite matrix. Returns the product of the lower triangular matrix and its conjugate transpose. Returns None if the input matrix is not not square or positive-definite.
- Dot product of two vectors.
- LU decomposition of a square matrix. Returns the product of the lower triangular matrix and an upper triangular matrix.
- Magnitude of a vector.
Type Aliases§
- A one-dimensional tensor of floating point values.
- A two-dimensional tensor of floating point values.