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Copy file name to clipboardExpand all lines: spec/extensions/linear_algebra_functions.md
+2-10Lines changed: 2 additions & 10 deletions
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@@ -172,7 +172,7 @@ Returns the specified diagonals of a matrix (or a stack of matrices) `x`.
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_TODO: this requires complex number support to be added to the specification._
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(function-linalg-eigh)=
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### linalg.eigh(x, /, *, upper=False)
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### linalg.eigh(x, /)
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Returns the eigenvalues and eigenvectors of a symmetric matrix (or a stack of symmetric matrices) `x`.
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- input array having shape `(..., M, M)` and whose innermost two dimensions form square matrices. Must have a floating-point data type.
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-**upper**: _bool_
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- If `True`, use the upper-triangular part to compute the eigenvalues and eigenvectors. If `False`, use the lower-triangular part to compute the eigenvalues and eigenvectors. Default: `False`.
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#### Returns
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-**out**: _Tuple\[<array>]_
@@ -210,7 +206,7 @@ Eigenvalue sort order is left unspecified.
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_TODO: this requires complex number support to be added to the specification._
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(function-linalg-eigvalsh)=
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### linalg.eigvalsh(x, /, *, upper=False)
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### linalg.eigvalsh(x, /)
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Computes the eigenvalues of a symmetric matrix (or a stack of symmetric matrices) `x`.
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@@ -222,10 +218,6 @@ Computes the eigenvalues of a symmetric matrix (or a stack of symmetric matrices
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- input array having shape `(..., M, M)` and whose innermost two dimensions form square matrices. Must have a floating-point data type.
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-**upper**: _bool_
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- If `True`, use the upper-triangular part to compute the eigenvalues. If `False`, use the lower-triangular part to compute the eigenvalues. Default: `False`.
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