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native,cgo: update docs for Dlacn2
This commit is contained in:
committed by
Vladimír Chalupecký
parent
ab9be2d016
commit
7024c297e1
@@ -105,15 +105,18 @@ var _ lapack.Float64 = Implementation{}
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// Dlacn2 estimates the 1-norm of an n×n matrix A using sequential updates with
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// matrix-vector products provided externally.
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//
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// Dlacn2 is called sequentially. In between calls, x should be overwritten by
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// A * X if kase == 1
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// A^T * X if kase == 2
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// all other parameters should be unchanged during sequential calls, and the updated
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// values of est and kase should be used. On the final return (when kase is returned
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// as 0), V = A * W, where est = norm(V) / norm(W).
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// Dlacn2 is called sequentially and it returns the value of est and kase to be
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// used on the next call.
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// On the initial call, kase must be 0.
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// In between calls, x must be overwritten by
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// A * X if kase was returned as 1,
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// A^T * X if kase was returned as 2,
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// and all other parameters must not be changed.
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// On the final return, kase is returned as 0, v contains A*W where W is a
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// vector, and est = norm(V)/norm(W) is a lower bound for 1-norm of A.
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//
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// isign, v, and x must all have length n and will panic otherwise. isave is used
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// for temporary storage.
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// v, x, and isgn must all have length n and n must be at least 1, otherwise
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// Dlacn2 will panic. isave is used for temporary storage.
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//
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// Dlacn2 is an internal routine. It is exported for testing purposes.
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func (impl Implementation) Dlacn2(n int, v, x []float64, isgn []int, est float64, kase int, isave *[3]int) (float64, int) {
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@@ -13,18 +13,24 @@ import (
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// Dlacn2 estimates the 1-norm of an n×n matrix A using sequential updates with
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// matrix-vector products provided externally.
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//
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// Dlacn2 is called sequentially. In between calls, x should be overwritten by
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// A * X if kase == 1
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// A^T * X if kase == 2
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// all other parameters should be unchanged during sequential calls, and the updated
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// values of est and kase should be used. On the final return (when kase is returned
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// as 0), V = A * W, where est = norm(V) / norm(W).
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// Dlacn2 is called sequentially and it returns the value of est and kase to be
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// used on the next call.
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// On the initial call, kase must be 0.
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// In between calls, x must be overwritten by
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// A * X if kase was returned as 1,
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// A^T * X if kase was returned as 2,
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// and all other parameters must not be changed.
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// On the final return, kase is returned as 0, v contains A*W where W is a
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// vector, and est = norm(V)/norm(W) is a lower bound for 1-norm of A.
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//
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// isign, v, and x must all have length n and will panic otherwise. isave is used
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// for temporary storage.
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// v, x, and isgn must all have length n and n must be at least 1, otherwise
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// Dlacn2 will panic. isave is used for temporary storage.
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//
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// Dlacn2 is an internal routine. It is exported for testing purposes.
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func (impl Implementation) Dlacn2(n int, v, x []float64, isgn []int, est float64, kase int, isave *[3]int) (float64, int) {
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if n < 1 {
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panic("lapack: non-positive n")
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}
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checkVector(n, x, 1)
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checkVector(n, v, 1)
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if len(isgn) < n {
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