math/matrix: fix some duplicate documentation tags
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@ -488,8 +488,8 @@ matrices as operators between inner product spaces consisting of column matrices
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@deftogether[(@defproc[(matrix-1norm [M (Matrix Number)]) Number]
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@defproc[(matrix-2norm [M (Matrix Number)]) Number]
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@defproc[(matrix-inf-norm [M (Matrix Number)]) Number]
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@defproc[(matrix-norm [M (Matrix Number)]) Number]
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@defproc[(matrix-norm [M (Matrix Number)] [p Real]) Number])]{
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@defproc*[([(matrix-norm [M (Matrix Number)]) Number]
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[(matrix-norm [M (Matrix Number)] [p Real]) Number])])]{
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The first three functions compute the L1-norm, the L2-norm, and, the L∞-norm respectively.
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The L1-norm is also known under the names Manhattan- or taxicab-norm.
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@ -514,8 +514,8 @@ If no @racket[p] is given, the 2-norm (Eucledian) is used.
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(matrix-norm (col-matrix [1 2]) 3)]
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}
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@deftogether[(@defproc[(matrix-dot [M (Matrix Number)]) Nonnegative-Real]
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@defproc[(matrix-dot [M1 (Matrix Number)] [M2 (Matrix Number)]) Number])]{
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@defproc*[([(matrix-dot [M (Matrix Number)]) Nonnegative-Real]
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[(matrix-dot [M1 (Matrix Number)] [M2 (Matrix Number)]) Number])]{
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The call @racket[(matrix-dot M1 M2)] computes the Frobenius inner product of the
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two matrices with the same shape.
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@ -626,10 +626,10 @@ are very close of being orthogonal (by default a few epsilons).
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@defthing[matrix-basis-extension Procedure]{}
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@margin-note{@hyperlink["http://en.wikipedia.org/wiki/QR_decomposition"]{Wikipedia: QR decomposition}}
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@deftogether[(@defproc[(matrix-qr [M (Matrix Real)]) (Values (Matrix Real) (Matrix Real))]
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@defproc[(matrix-qr [M (Matrix Real)] [full Any]) (Values (Matrix Real) (Matrix Real))]
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@defproc[(matrix-qr [M (Matrix Number)]) (Values (Matrix Number) (Matrix Number))]
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@defproc[(matrix-qr [M (Matrix Number)] [full Any]) (Values (Matrix Number) (Matrix Number))])]{
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@defproc*[([(matrix-qr [M (Matrix Real)]) (Values (Matrix Real) (Matrix Real))]
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[(matrix-qr [M (Matrix Real)] [full Any]) (Values (Matrix Real) (Matrix Real))]
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[(matrix-qr [M (Matrix Number)]) (Values (Matrix Number) (Matrix Number))]
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[(matrix-qr [M (Matrix Number)] [full Any]) (Values (Matrix Number) (Matrix Number))])]{
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Computes a QR-decomposition of the matrix @racket[M]. The values returned are
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the matrices @racket[Q] and @racket[R]. If @racket[full] is false, then
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a reduced decomposition is returned, otherwise a full decomposition is returned.
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