| Name |
Description |
|---|
| dbdsdc.cs |
Computes the singular value decomposition (SVD) of a real bidiagonal matrix using a divide and conquer method. |
| dbdsqr.cs |
Computes the singular value decomposition (SVD) of a real bidiagonal matrix using the bidiagonal QR algorithm. |
| ddisna.cs |
Computes the reciprocal condition numbers for the eigenvectors of a real symmetric or complex Hermitian matrix or for the left or right singular vectors of a general matrix. |
| dgbsv.cs |
Solves a general banded system of linear equations AX=B. |
| dgbtf2.cs |
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| dgbtrf.cs |
Computes an LU factorization of a general band matrix, using partial pivoting with row interchanges. |
| dgbtrs.cs |
Solves a general banded system of linear equations AX=B, A**T X=B or A**H X=B using the LU factorization computed by DGBTRF. |
| dgebak.cs |
Transforms eigenvectors of a balanced matrix to those of the original matrix supplied to DGEBAL. |
| dgebal.cs |
Balances a general matrix in order to improve the accuracy of computed eigenvalues. |
| dgebd2.cs |
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| dgebrd.cs |
Reduces a general rectangular matrix to real bidiagonal form by an orthogonal transformation. |
| dgeev.cs |
Computes the eigenvalues and left and right eigenvectors of a general matrix. |
| dgehd2.cs |
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| dgehrd.cs |
Reduces a general matrix to upper Hessenberg form by an orthogonal similarity transformation. |
| dgelq2.cs |
|
| dgelqf.cs |
Computes an LQ factorization of a general rectangular matrix. |
| dgels.cs |
Computes the least squares solution to an over-determined system of linear equations A X=B or A**H X=B or the minimum norm solution of an under-determined system where A is a general rectangular matrix of full rank using a QR or LQ factorization of A. |
| dgelsd.cs |
Computes the least squares solution to an over-determined system of linear equations A X=B or A**H X=B or the minimum norm solution of an under-determined system using a divide and conquer method where A is a general rectangular matrix of full rank, using a QR or LQ factorization of A. |
| dgelsy.cs |
Computes the minimum norm least squares solution to an over- or under-determined system of linear equations A X=B using a complete orthogonal factorization of A. |
| dgeqp3.cs |
Computes a QR factorization with column pivoting of a general rectangular matrix using Level 3 BLAS. |
| dgeqpf.cs |
Computes a QR factorization with column pivoting of a general rectangular matrix. |
| dgeqr2.cs |
|
| dgeqrf.cs |
Computes a QR factorization of a general rectangular matrix. |
| dgerq2.cs |
|
| dgerqf.cs |
Computes an RQ factorization of a general rectangular matrix. |
| dgesdd.cs |
Computes the singular value decomposition (SVD) of a general rectangular matrix using divide-and-conquer. |
| dgesv.cs |
Solves a general system of linear equations AX=B. |
| dgesvd.cs |
Computes the singular value decomposition (SVD) of a general rectangular matrix. |
| dgetf2.cs |
|
| dgetrf.cs |
Computes an LU factorization of a general matrix, using partial pivoting with row interchanges. |
| dgetri.cs |
Computes the inverse of a general matrix, using the LU factorization computed by DGETRF. |
| dgetrs.cs |
Solves a general system of linear equations AX=B, A**T X=B or A**H X=B using the LU factorization computed by DGETRF. |
| dggglm.cs |
Solves the GLM (Generalized Linear Regression Model) using the GQR (Generalized QR) factorization |
| dgglse.cs |
Solves the LSE (Constrained Linear Least Squares Problem) using the GRQ (Generalized RQ) factorization |
| dggqrf.cs |
Computes a generalized QR factorization of a pair of matrices. |
| dggrqf.cs |
Computes a generalized RQ factorization of a pair of matrices. |
| dggsvd.cs |
Computes the Generalized Singular Value Decomposition |
| dggsvp.cs |
Computes orthogonal matrices as a preprocessing step for computing the generalized singular value decomposition |
| dgtsv.cs |
Solves a general tridiagonal system of linear equations AX=B. |
| dhseqr.cs |
Computes the eigenvalues and Schur factorization of an upper Hessenberg matrix using the multishift QR algorithm. |
| dlabad.cs |
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| dlabrd.cs |
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| dlacon.cs |
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| dlacpy.cs |
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| dladiv.cs |
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| dlae2.cs |
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| dlaed0.cs |
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| dlaed1.cs |
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| dlaed2.cs |
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| dlaed3.cs |
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| dlaed4.cs |
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| dlaed5.cs |
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| dlaed6.cs |
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| dlaed7.cs |
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| dlaed8.cs |
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| dlaed9.cs |
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| dlaeda.cs |
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| dlaev2.cs |
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| dlaexc.cs |
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| dlags2.cs |
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| dlahqr.cs |
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| dlahr2.cs |
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| dlaic1.cs |
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| dlaln2.cs |
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| dlals0.cs |
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| dlalsa.cs |
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| dlalsd.cs |
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| dlamrg.cs |
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| dlange.cs |
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| dlansb.cs |
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| dlanst.cs |
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| dlansy.cs |
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| dlantr.cs |
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| dlanv2.cs |
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| dlapll.cs |
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| dlapmt.cs |
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| dlapy2.cs |
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| dlaqp2.cs |
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| dlaqps.cs |
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| dlaqr0.cs |
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| dlaqr1.cs |
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| dlaqr2.cs |
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| dlaqr3.cs |
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| dlaqr4.cs |
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| dlaqr5.cs |
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| dlar2v.cs |
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| dlarf.cs |
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| dlarfb.cs |
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| dlarfg.cs |
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| dlarft.cs |
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| dlarfx.cs |
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| dlargv.cs |
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| dlartg.cs |
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| dlartv.cs |
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| dlarz.cs |
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| dlarzb.cs |
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| dlarzt.cs |
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| dlas2.cs |
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| dlascl.cs |
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| dlasd0.cs |
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| dlasd1.cs |
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| dlasd2.cs |
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| dlasd3.cs |
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| dlasd4.cs |
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| dlasd5.cs |
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| dlasd6.cs |
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| dlasd7.cs |
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| dlasd8.cs |
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| dlasda.cs |
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| dlasdq.cs |
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| dlasdt.cs |
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| dlaset.cs |
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| dlasq1.cs |
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| dlasq2.cs |
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| dlasq5.cs |
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| dlasq6.cs |
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| dlasr.cs |
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| dlasrt.cs |
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| dlassq.cs |
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| dlasv2.cs |
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| dlaswp.cs |
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| dlasy2.cs |
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| dlatrd.cs |
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| dlatrs.cs |
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| dlatrz.cs |
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| dlazq3.cs |
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| dlazq4.cs |
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| dorg2l.cs |
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| dorg2r.cs |
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| dorgbr.cs |
Generates the orthogonal transformation matrices from a reduction to bidiagonal form determined by DGEBRD. |
| dorghr.cs |
Generates the orthogonal transformation matrix from a reduction to Hessenberg form determined by DGEHRD. |
| dorgl2.cs |
|
| dorglq.cs |
Generates all or part of the orthogonal matrix Q from an LQ factorization determined by DGELQF. |
| dorgql.cs |
Generates all or part of the orthogonal matrix Q from a QL factorization determined by DGEQLF. |
| dorgqr.cs |
Generates all or part of the orthogonal matrix Q from a QR factorization determined by DGEQRF. |
| dorgtr.cs |
Generates the orthogonal transformation matrix from a reduction to tridiagonal form determined by DSYTRD. |
| dorm2l.cs |
|
| dorm2r.cs |
|
| dormbr.cs |
Multiplies a general matrix by one of the orthogonal transformation matrices from a reduction to bidiagonal form determined by DGEBRD. |
| dorml2.cs |
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| dormlq.cs |
Multiplies a general matrix by the orthogonal matrix from an LQ factorization determined by DGELQF. |
| dormql.cs |
Multiplies a general matrix by the orthogonal matrix from a QL factorization determined by DGEQLF. |
| dormqr.cs |
Multiplies a general matrix by the orthogonal matrix from a QR factorization determined by DGEQRF. |
| dormr2.cs |
|
| dormr3.cs |
Multiples a general matrix by the orthogonal matrix from an RZ factorization determined by DTZRZF. |
| dormrq.cs |
Multiplies a general matrix by the orthogonal matrix from an RQ factorization determined by DGERQF. |
| dormrz.cs |
Multiples a general matrix by the orthogonal matrix from an RZ factorization determined by DTZRZF. |
| dormtr.cs |
Multiplies a general matrix by the orthogonal transformation matrix from a reduction to tridiagonal form determined by DSYTRD. |
| drscl.cs |
|
| dsbev.cs |
Computes all eigenvalues, and optionally, eigenvectors of a real symmetric band matrix. |
| dsbevd.cs |
Computes all eigenvalues, and optionally, eigenvectors of a real symmetric band matrix. If eigenvectors are desired it uses a divide and conquer algorithm. |
| dsbtrd.cs |
Reduces a symmetric band matrix to real symmetric tridiagonal form by an orthogonal similarity transformation. |
| dstedc.cs |
Computes all eigenvalues and, optionally, eigenvectors of a symmetric tridiagonal matrix using the divide and conquer algorithm. |
| dsteqr.cs |
Computes all eigenvalues and eigenvectors of a real symmetric tridiagonal matrix using the implicit QL or QR algorithm. |
| dsterf.cs |
Computes all eigenvalues of a real symmetric tridiagonal matrix, using a root-free variant of the QL or QR algorithm. |
| dsyev.cs |
Computes all eigenvalues, and optionally, eigenvectors of a real symmetric matrix. |
| dsyevd.cs |
Computes all eigenvalues, and optionally, eigenvectors of a real symmetric matrix. If eigenvectors are desired it uses a divide and conquer algorithm. |
| dsytd2.cs |
|
| dsytrd.cs |
Reduces a symmetric matrix to real symmetric tridiagonal form by an orthogonal similarity transformation. |
| dtgsja.cs |
Computes the generalized singular value decomposition of two real upper triangular (or trapezoidal) matrices as output by DGGSVP. |
| dtrcon.cs |
Estimates the reciprocal of the condition number of a triangular matrix in either the 1-norm or the infinity-norm. |
| dtrevc.cs |
Computes some or all of the right and/or left eigenvectors of an upper quasi-triangular matrix. |
| dtrexc.cs |
Reorders the Schur factorization of a matrix by an orthogonal similarity transformation. |
| dtrti2.cs |
|
| dtrtri.cs |
Computes the inverse of a triangular matrix. |
| dtrtrs.cs |
Solves a triangular system of linear equations AX=B, A**T X=B or A**H X=B. |
| dtzrzf.cs |
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| ieeeck.cs |
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| ilaenv.cs |
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| iparmq.cs |
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| xerbla.cs |
|