Man page - gbsvx(3)
Packages contains this manual
- hptrd(3)
- potri(3)
- xerbla_array(3)
- ggsvd_driver_grp(3)
- hfrk(3)
- getsqr_comp_grp(3)
- laed6(3)
- gtrfs(3)
- lasdq(3)
- gglse(3)
- la_xisnan_la_isnan(3)
- unmr2(3)
- hetrs_aa(3)
- tpttr(3)
- gerz_comp_grp(3)
- potrf(3)
- hegv_driver(3)
- laqps(3)
- ggqr_comp_grp(3)
- ilalc(3)
- ung2r(3)
- heevd(3)
- pstf2(3)
- lacn2(3)
- ptrfs(3)
- ungrq(3)
- gelqf(3)
- ppsv_comp(3)
- blas2_full(3)
- gemlqt(3)
- unml2(3)
- tplqt(3)
- tpcon(3)
- getf2(3)
- ggbak(3)
- bdsvd_driver(3)
- lamch(3)
- gelq(3)
- gebal(3)
- laqr1(3)
- ptsvx(3)
- lahr2(3)
- larscl2(3)
- geqrt(3)
- larfb(3)
- gtsv_comp(3)
- gesvd_aux(3)
- hbevx_2stage(3)
- hbgvx(3)
- tprfs(3)
- params_grp(3)
- lahef(3)
- laqr_group(3)
- unmqr(3)
- tgsy2(3)
- tfsv_comp(3)
- ggls_driver_grp(3)
- geev(3)
- latrd(3)
- unbdb4(3)
- bbcsd(3)
- lange(3)
- gelq_comp3(3)
- gttrs(3)
- lasy2(3)
- hetf2_rook(3)
- gtsv(3)
- lalsd(3)
- lanhb(3)
- laqhb(3)
- hgeqz(3)
- gesvj(3)
- gsvj0(3)
- ungtsqr_row(3)
- gelq_comp1(3)
- gemmtr(3)
- pbequ(3)
- heev_driver(3)
- unhr_col(3)
- syconvf_rook(3)
- getc2(3)
- syconv(3)
- norm_grp(3)
- larrc(3)
- laqr4(3)
- posv_comp(3)
- geev_driver_grp(3)
- heev_comp(3)
- pfsv(3)
- trevc3(3)
- gesv_driver_grp(3)
- reflector_aux_grp(3)
- langt(3)
- lacrt(3)
- latdf(3)
- hetrs_aa_2stage(3)
- lamc1(3)
- hpev_driver(3)
- hegvd(3)
- pptri(3)
- geqrt3(3)
- gelqt3(3)
- lasd5(3)
- laeda(3)
- geqr(3)
- lamtsqr(3)
- heev(3)
- hpev_comp(3)
- larfg(3)
- blas2_grp(3)
- hesv_rook(3)
- laexc(3)
- hetrd(3)
- geesx(3)
- ppsvx(3)
- blas_top(3)
- gtts2(3)
- la_herpvgrw(3)
- hpevx(3)
- ggevx(3)
- lahqr(3)
- gelq_comp_grp(3)
- hesv_comp_v3(3)
- tplqt2(3)
- hpev(3)
- hbtrd(3)
- getrs(3)
- hecon_3(3)
- lasrt(3)
- lanhe(3)
- gesv_comp(3)
- gbequ(3)
- hetrf_rk(3)
- laqr3(3)
- heev_comp_grp(3)
- ungtsqr(3)
- ppcon(3)
- ggrq_comp_grp(3)
- larmm(3)
- ieeeck(3)
- geqrf(3)
- solve_aux_grp(3)
- herfs(3)
- posvx(3)
- posvxx(3)
- gges3(3)
- hbgvd(3)
- lantb(3)
- lasd_comp_grp(3)
- hpgvx(3)
- lapy2(3)
- lauu2(3)
- copy(3)
- getsqrhrt(3)
- stev_comp_grp(3)
- laev2(3)
- larfb_gett(3)
- trti2(3)
- laqz4(3)
- hegv_driver_grp(3)
- la_porfsx_extended(3)
- laruv(3)
- ggsvd_comp_grp(3)
- dot(3)
- gehd2(3)
- lanhf(3)
- hetri_rook(3)
- pfsv_comp(3)
- gbtrf(3)
- hpgst(3)
- getri(3)
- trevc(3)
- unmrz(3)
- hsein(3)
- lsamen(3)
- lasd6(3)
- trtri(3)
- ggglm(3)
- las2(3)
- latrs(3)
- lapll(3)
- gemlq(3)
- geqpf_comp_grp(3)
- stemr(3)
- rotm(3)
- disna(3)
- ggrqf(3)
- pptrf(3)
- lasd0(3)
- lals0(3)
- laqz2(3)
- hbev_driver2(3)
- geswlq_comp_grp(3)
- laqr0(3)
- trttp(3)
- stedc(3)
- lasq4(3)
- geev_comp_grp(3)
- ungbr(3)
- lanv2(3)
- hpsv(3)
- pprfs(3)
- gehrd(3)
- ppsv(3)
- lagtm(3)
- hpgv(3)
- trsv_comp(3)
- larfx(3)
- gesv_driver(3)
- gerfsx(3)
- la_geamv(3)
- laed9(3)
- tpqrt2(3)
- uncsd(3)
- gecs_comp_grp(3)
- bdsqr(3)
- hegv_comp_grp(3)
- labad(3)
- geqp3(3)
- gesvdq(3)
- tfttp(3)
- laln2(3)
- uncsd2by1(3)
- blas2_like_grp(3)
- latbs(3)
- hbgst(3)
- larrv(3)
- ilaenv2stage(3)
- bdsvdx(3)
- hegs2(3)
- lasq_comp_grp(3)
- hpr2(3)
- laqhe(3)
- larra(3)
- gemqrt(3)
- hbmv(3)
- hpsv_driver(3)
- lacp2(3)
- lapmt(3)
- gecon(3)
- unbdb5(3)
- la_gerpvgrw(3)
- tgex2(3)
- laqhp(3)
- tftri(3)
- getrf2(3)
- porfs(3)
- lartg(3)
- lagts(3)
- ggev_comp_grp(3)
- lasd3(3)
- geqr_comp2(3)
- laqz_group(3)
- pftri(3)
- hetri2x(3)
- lahef_aa(3)
- svd_driver_grp(3)
- gbsv_driver(3)
- hesv_comp_aasen2(3)
- laqtr(3)
- lag2(3)
- la_porcond(3)
- hbev(3)
- pbtrf(3)
- lascl(3)
- larr_comp_grp(3)
- hecon(3)
- pttrs(3)
- lasd8(3)
- lsame(3)
- unm2l(3)
- potrs(3)
- tptrs(3)
- lartv(3)
- trtrs(3)
- gsvj1(3)
- sum1(3)
- larrj(3)
- gbmv(3)
- posv(3)
- gghd3(3)
- geev_top(3)
- geqr_comp_grp(3)
- laset(3)
- hesvxx(3)
- posv_comp_grp(3)
- lahef_rk(3)
- lasd1(3)
- tprfb(3)
- potf2(3)
- laein(3)
- lamc4(3)
- stevd(3)
- gtsv_driver(3)
- gesvd_comp_grp(3)
- la_constants(3)
- gesvx(3)
- hseqr(3)
- launhr_col_getrfnp2(3)
- trcon(3)
- larre(3)
- gelsy(3)
- ptsv(3)
- lacon(3)
- laed_comp_grp(3)
- hpsvx(3)
- gemm(3)
- poequ(3)
- laesy(3)
- lagtf(3)
- trrfs(3)
- ggev3(3)
- pbstf(3)
- poequb(3)
- heevr(3)
- lanhp(3)
- unbdb3(3)
- tgsyl(3)
- lamc5(3)
- geqr2p(3)
- ungqr(3)
- laqz3(3)
- imax1(3)
- gels_top(3)
- hesv(3)
- gelqt(3)
- pfsv_driver(3)
- stegr(3)
- gerqf(3)
- laisnan(3)
- ilatrans(3)
- gbsv_comp(3)
- pbrfs(3)
- lascl2(3)
- larz(3)
- la_hercond(3)
- tgexc(3)
- ggesx(3)
- unbdb6(3)
- ungl2(3)
- laed_comp2(3)
- rscl(3)
- hegv(3)
- gelst(3)
- gbtrs(3)
- pftrf(3)
- langb(3)
- lantr(3)
- laqgb(3)
- ggsvp3(3)
- bdsdc(3)
- ladiv(3)
- laqge(3)
- iparmq(3)
- ggbal(3)
- hb2st_kernels(3)
- lartgs(3)
- lartgp(3)
- rot(3)
- ppequ(3)
- laed3(3)
- her(3)
- hptri(3)
- stevx(3)
- upgtr(3)
- lar2v(3)
- hbev_2stage(3)
- gejsv(3)
- ppsv_driver(3)
- unm22(3)
- gesvxx(3)
- laqz0(3)
- unmtr(3)
- laed5(3)
- tptri(3)
- laed0(3)
- heev_driver2(3)
- hpcon(3)
- lasd4(3)
- hetrf_aa(3)
- geqr_comp3(3)
- rot_aux_grp(3)
- aux_grp(3)
- laebz(3)
- trsyl3(3)
- gges(3)
- gesdd(3)
- trexc(3)
- ung2l(3)
- gesv(3)
- laed4(3)
- md__r_e_a_d_m_e(3)
- blas3_like_grp(3)
- laed1(3)
- larcm(3)
- hbevx(3)
- hesv_driver_grp(3)
- hetrs(3)
- hbevd_2stage(3)
- blas1_grp(3)
- laic1(3)
- geql_comp_grp(3)
- heev_2stage(3)
- hpmv(3)
- pbtf2(3)
- hetrf_aa_2stage(3)
- hbgv(3)
- pptrs(3)
- lapmr(3)
- tpqr_comp_grp(3)
- larfy(3)
- gedmd(3)
- lasr(3)
- hetrd_2stage(3)
- gerfs(3)
- ungtr(3)
- porfsx(3)
- tpmv(3)
- lasd_comp2(3)
- unmbr(3)
- tbtrs(3)
- hetd2(3)
- trsv_comp_grp(3)
- lapy3(3)
- ptts2(3)
- unmhr(3)
- hbev_driver(3)
- lalsa(3)
- tbsv_comp(3)
- hesv_comp_v1(3)
- geql2(3)
- sterf(3)
- larrd(3)
- larft(3)
- lagv2(3)
- gttrf(3)
- tpqrt(3)
- la_lin_berr(3)
- rotg(3)
- solve_top(3)
- lacgv(3)
- larrf(3)
- tbmv(3)
- trsyl(3)
- geequ(3)
- upmtr(3)
- hpgv_driver(3)
- tbsv(3)
- hesvx(3)
- latrz(3)
- tfttr(3)
- gesv_comp_grp(3)
- xerbla_grp(3)
- tpsv(3)
- blas3_grp(3)
- gesvd_driver(3)
- geqr_comp1(3)
- ggev_driver_grp(3)
- la_gbamv(3)
- tpmlqt(3)
- trttf(3)
- larzb(3)
- unmr3(3)
- hecon_rook(3)
- stebz(3)
- lantp(3)
- laqz1(3)
- hesv_rk(3)
- tbcon(3)
- xerbla(3)
- posv_mixed(3)
- latps(3)
- hesv_aa_driver(3)
- gemqr(3)
- larrr(3)
- gebrd(3)
- tgsna(3)
- la_gercond(3)
- gbsv(3)
- hesv_comp_grp(3)
- gesv_mixed(3)
- gghrd(3)
- gbrfs(3)
- tpmqrt(3)
- lasq3(3)
- tpsv_comp(3)
- largv(3)
- gelsd(3)
- pftrs(3)
- asum(3)
- launhr_col_getrfnp(3)
- hptrf(3)
- lacpy(3)
- gesc2(3)
- lasda(3)
- second(3)
- hprfs(3)
- hpsv_comp(3)
- lamrg(3)
- pbsv_comp(3)
- hegv_2stage(3)
- gerq2(3)
- lasdt(3)
- abs1(3)
- hbevd(3)
- hbev_comp(3)
- trsv(3)
- la_porpvgrw(3)
- la_gbrpvgrw(3)
- hbgv_driver(3)
- tgsja(3)
- gebd2(3)
- geqr2(3)
- unm2r(3)
- unmql(3)
- la_gbrfsx_extended(3)
- gelq_comp2(3)
- iparam2stage(3)
- ger(3)
- larf(3)
- ilaprec(3)
- labrd(3)
- unbdb1(3)
- unmlq(3)
- geequb(3)
- la_herfsx_extended(3)
- unbdb2(3)
- lapack_top(3)
- ptsv_driver(3)
- hetrs2(3)
- geqr_comp4(3)
- pbsv(3)
- posv_driver(3)
- steqr(3)
- gels(3)
- lar1v(3)
- hemv(3)
- la_transtype(3)
- hesv_aa(3)
- lacrm(3)
- stevr(3)
- hetf2_rk(3)
- blas2_banded(3)
- stein(3)
- unmrq(3)
- larrk(3)
- hetri2(3)
- hesv_aa_2stage(3)
- pttrf(3)
- gelss(3)
- pbsv_driver(3)
- lasq5(3)
- heevx_2stage(3)
- hetri(3)
- lasd2(3)
- laed2(3)
- pbcon(3)
- ptcon(3)
- laed7(3)
- gels_aux_grp(3)
- hpgvd(3)
- hetf2(3)
- tzrzf(3)
- hpr(3)
- unitary_top(3)
- latsqr(3)
- ungql(3)
- her2(3)
- hetri_3x(3)
- hetrd_hb2st(3)
- tgsen(3)
- ggsvd3(3)
- lasq6(3)
- set_grp(3)
- larfgp(3)
- gels_driver_grp(3)
- pbtrs(3)
- lamswlq(3)
- lanht(3)
- gbsvxx(3)
- tgevc(3)
- ilaenv(3)
- swap(3)
- lae2(3)
- iladiag(3)
- lasq2(3)
- la_heamv(3)
- blas_like_top(3)
- la_gerfsx_extended(3)
- hegst(3)
- tfsm(3)
- gesvd(3)
- ungr2(3)
- ggev(3)
- aux_top(3)
- blas2_packed(3)
- geqlf(3)
- hetrs_rook(3)
- gelq2(3)
- geqrfp(3)
- gbequb(3)
- stev(3)
- lauum(3)
- potrf2(3)
- lamc3(3)
- gbrfsx(3)
- gerq_comp_grp(3)
- pocon(3)
- tbrfs(3)
- heswapr(3)
- lamc2(3)
- hpevd(3)
- hesv_comp_aasen(3)
- scalar_grp(3)
- gemv(3)
- lasv2(3)
- lanhs(3)
- svd_top(3)
- gbsvx(3)
- gesvdx(3)
- tplq_comp_grp(3)
- hesv_driver(3)
- hesv_comp_v2(3)
- trsen(3)
- syconvf(3)
- lasd7(3)
- gbcon(3)
- unbdb(3)
- heev_driver_grp(3)
- ggqrf(3)
- heevx(3)
- gtsvx(3)
- lahef_rook(3)
- hetrf_rook(3)
- hetrf(3)
- trsna(3)
- gebak(3)
- larnv(3)
- ptsv_comp(3)
- laswlq(3)
- lags2(3)
- laed8(3)
- laswp(3)
- hptrs(3)
- unglq(3)
- la_wwaddw(3)
- getrf(3)
- gees(3)
- gbtf2(3)
- hegvx(3)
- latrs3(3)
- roundup_lwork(3)
- unghr(3)
- iamax(3)
- larzt(3)
- pteqr(3)
- ilaver(3)
- trmv(3)
- la_gbrcond(3)
- blas0_like_grp(3)
- nrm2(3)
- heev_top(3)
- gtcon(3)
- heevr_2stage(3)
- pstrf(3)
- rot_comp(3)
- laqr5(3)
- heevd_2stage(3)
- getsls(3)
- hetrd_he2hb(3)
- heequb(3)
- laqp2(3)
- axpy(3)
- blast_aux(3)
- rotmg(3)
- pbsvx(3)
- ilauplo(3)
- herfsx(3)
- laqr2(3)
- blas1_like_grp(3)
- lassq(3)
- larrb(3)
- stev_driver(3)
- geevx(3)
- tpttf(3)
- scal(3)
- laneg(3)
- posv_driver_grp(3)
- lasq1(3)
- hetrs_3(3)
- geqrt2(3)
- gbbrd(3)
- ilalr(3)
- hetri_3(3)
apt-get install liblapack-doc
Manual
gbsvx
NAMESYNOPSIS
Functions
Detailed Description
Function Documentation
subroutine cgbsvx (character fact, character trans, integer n, integer kl,integer ku, integer nrhs, complex, dimension( ldab, * ) ab, integerldab, complex, dimension( ldafb, * ) afb, integer ldafb, integer,dimension( * ) ipiv, character equed, real, dimension( * ) r, real,dimension( * ) c, complex, dimension( ldb, * ) b, integer ldb, complex,dimension( ldx, * ) x, integer ldx, real rcond, real, dimension( * )ferr, real, dimension( * ) berr, complex, dimension( * ) work, real,dimension( * ) rwork, integer info)
subroutine dgbsvx (character fact, character trans, integer n, integer kl,integer ku, integer nrhs, double precision, dimension( ldab, * ) ab,integer ldab, double precision, dimension( ldafb, * ) afb, integerldafb, integer, dimension( * ) ipiv, character equed, double precision,dimension( * ) r, double precision, dimension( * ) c, double precision,dimension( ldb, * ) b, integer ldb, double precision, dimension( ldx, *) x, integer ldx, double precision rcond, double precision, dimension(* ) ferr, double precision, dimension( * ) berr, double precision,dimension( * ) work, integer, dimension( * ) iwork, integer info)
subroutine sgbsvx (character fact, character trans, integer n, integer kl,integer ku, integer nrhs, real, dimension( ldab, * ) ab, integer ldab,real, dimension( ldafb, * ) afb, integer ldafb, integer, dimension( * )ipiv, character equed, real, dimension( * ) r, real, dimension( * ) c,real, dimension( ldb, * ) b, integer ldb, real, dimension( ldx, * ) x,integer ldx, real rcond, real, dimension( * ) ferr, real, dimension( *) berr, real, dimension( * ) work, integer, dimension( * ) iwork,integer info)
subroutine zgbsvx (character fact, character trans, integer n, integer kl,integer ku, integer nrhs, complex*16, dimension( ldab, * ) ab, integerldab, complex*16, dimension( ldafb, * ) afb, integer ldafb, integer,dimension( * ) ipiv, character equed, double precision, dimension( * )r, double precision, dimension( * ) c, complex*16, dimension( ldb, * )b, integer ldb, complex*16, dimension( ldx, * ) x, integer ldx, doubleprecision rcond, double precision, dimension( * ) ferr, doubleprecision, dimension( * ) berr, complex*16, dimension( * ) work, doubleprecision, dimension( * ) rwork, integer info)
Author
NAME
gbsvx - gbsvx: factor and solve, expert
SYNOPSIS
Functions
subroutine
cgbsvx
(fact, trans, n, kl, ku, nrhs, ab, ldab, afb,
ldafb, ipiv, equed, r, c, b, ldb, x, ldx, rcond, ferr, berr,
work, rwork, info)
CGBSVX computes the solution to system of linear equations A
* X = B for GB matrices
subroutine
dgbsvx
(fact, trans, n, kl, ku, nrhs, ab,
ldab, afb, ldafb, ipiv, equed, r, c, b, ldb, x, ldx, rcond,
ferr, berr, work, iwork, info)
DGBSVX computes the solution to system of linear equations A
* X = B for GB matrices
subroutine
sgbsvx
(fact, trans, n, kl, ku, nrhs, ab,
ldab, afb, ldafb, ipiv, equed, r, c, b, ldb, x, ldx, rcond,
ferr, berr, work, iwork, info)
SGBSVX computes the solution to system of linear equations A
* X = B for GB matrices
subroutine
zgbsvx
(fact, trans, n, kl, ku, nrhs, ab,
ldab, afb, ldafb, ipiv, equed, r, c, b, ldb, x, ldx, rcond,
ferr, berr, work, rwork, info)
ZGBSVX computes the solution to system of linear equations A
* X = B for GB matrices
Detailed Description
Function Documentation
subroutine cgbsvx (character fact, character trans, integer n, integer kl,integer ku, integer nrhs, complex, dimension( ldab, * ) ab, integerldab, complex, dimension( ldafb, * ) afb, integer ldafb, integer,dimension( * ) ipiv, character equed, real, dimension( * ) r, real,dimension( * ) c, complex, dimension( ldb, * ) b, integer ldb, complex,dimension( ldx, * ) x, integer ldx, real rcond, real, dimension( * )ferr, real, dimension( * ) berr, complex, dimension( * ) work, real,dimension( * ) rwork, integer info)
CGBSVX computes the solution to system of linear equations A * X = B for GB matrices
Purpose:
CGBSVX uses the
LU factorization to compute the solution to a complex
system of linear equations A * X = B, A**T * X = B, or A**H
* X = B,
where A is a band matrix of order N with KL subdiagonals and
KU
superdiagonals, and X and B are N-by-NRHS matrices.
Error bounds on
the solution and a condition estimate are also
provided.
Description:
The following steps are performed by this subroutine:
1. If FACT =
βEβ, real scaling factors are computed to
equilibrate
the system:
TRANS = βNβ: diag(R)*A*diag(C) *inv(diag(C))*X =
diag(R)*B
TRANS = βTβ: (diag(R)*A*diag(C))**T
*inv(diag(R))*X = diag(C)*B
TRANS = βCβ: (diag(R)*A*diag(C))**H
*inv(diag(R))*X = diag(C)*B
Whether or not the system will be equilibrated depends on
the
scaling of the matrix A, but if equilibration is used, A is
overwritten by diag(R)*A*diag(C) and B by diag(R)*B (if
TRANS=βNβ)
or diag(C)*B (if TRANS = βTβ or
βCβ).
2. If FACT =
βNβ or βEβ, the LU decomposition is
used to factor the
matrix A (after equilibration if FACT = βEβ) as
A = L * U,
where L is a product of permutation and unit lower
triangular
matrices with KL subdiagonals, and U is upper triangular
with
KL+KU superdiagonals.
3. If some
U(i,i)=0, so that U is exactly singular, then the routine
returns with INFO = i. Otherwise, the factored form of A is
used
to estimate the condition number of the matrix A. If the
reciprocal of the condition number is less than machine
precision,
INFO = N+1 is returned as a warning, but the routine still
goes on
to solve for X and compute error bounds as described
below.
4. The system
of equations is solved for X using the factored form
of A.
5. Iterative
refinement is applied to improve the computed solution
matrix and calculate error bounds and backward error
estimates
for it.
6. If
equilibration was used, the matrix X is premultiplied by
diag(C) (if TRANS = βNβ) or diag(R) (if TRANS =
βTβ or βCβ) so
that it solves the original system before equilibration.
Parameters
FACT
FACT is
CHARACTER*1
Specifies whether or not the factored form of the matrix A
is
supplied on entry, and if not, whether the matrix A should
be
equilibrated before it is factored.
= βFβ: On entry, AFB and IPIV contain the
factored form of
A. If EQUED is not βNβ, the matrix A has been
equilibrated with scaling factors given by R and C.
AB, AFB, and IPIV are not modified.
= βNβ: The matrix A will be copied to AFB and
factored.
= βEβ: The matrix A will be equilibrated if
necessary, then
copied to AFB and factored.
TRANS
TRANS is
CHARACTER*1
Specifies the form of the system of equations.
= βNβ: A * X = B (No transpose)
= βTβ: A**T * X = B (Transpose)
= βCβ: A**H * X = B (Conjugate transpose)
N
N is INTEGER
The number of linear equations, i.e., the order of the
matrix A. N >= 0.
KL
KL is INTEGER
The number of subdiagonals within the band of A. KL >=
0.
KU
KU is INTEGER
The number of superdiagonals within the band of A. KU >=
0.
NRHS
NRHS is INTEGER
The number of right hand sides, i.e., the number of columns
of the matrices B and X. NRHS >= 0.
AB
AB is COMPLEX
array, dimension (LDAB,N)
On entry, the matrix A in band storage, in rows 1 to
KL+KU+1.
The j-th column of A is stored in the j-th column of the
array AB as follows:
AB(KU+1+i-j,j) = A(i,j) for
max(1,j-KU)<=i<=min(N,j+kl)
If FACT =
βFβ and EQUED is not βNβ, then A
must have been
equilibrated by the scaling factors in R and/or C. AB is not
modified if FACT = βFβ or βNβ, or if
FACT = βEβ and
EQUED = βNβ on exit.
On exit, if
EQUED .ne. βNβ, A is scaled as follows:
EQUED = βRβ: A := diag(R) * A
EQUED = βCβ: A := A * diag(C)
EQUED = βBβ: A := diag(R) * A * diag(C).
LDAB
LDAB is INTEGER
The leading dimension of the array AB. LDAB >=
KL+KU+1.
AFB
AFB is COMPLEX
array, dimension (LDAFB,N)
If FACT = βFβ, then AFB is an input argument and
on entry
contains details of the LU factorization of the band matrix
A, as computed by CGBTRF. U is stored as an upper triangular
band matrix with KL+KU superdiagonals in rows 1 to KL+KU+1,
and the multipliers used during the factorization are stored
in rows KL+KU+2 to 2*KL+KU+1. If EQUED .ne. βNβ,
then AFB is
the factored form of the equilibrated matrix A.
If FACT =
βNβ, then AFB is an output argument and on exit
returns details of the LU factorization of A.
If FACT =
βEβ, then AFB is an output argument and on exit
returns details of the LU factorization of the equilibrated
matrix A (see the description of AB for the form of the
equilibrated matrix).
LDAFB
LDAFB is
INTEGER
The leading dimension of the array AFB. LDAFB >=
2*KL+KU+1.
IPIV
IPIV is INTEGER
array, dimension (N)
If FACT = βFβ, then IPIV is an input argument
and on entry
contains the pivot indices from the factorization A = L*U
as computed by CGBTRF; row i of the matrix was interchanged
with row IPIV(i).
If FACT =
βNβ, then IPIV is an output argument and on exit
contains the pivot indices from the factorization A = L*U
of the original matrix A.
If FACT =
βEβ, then IPIV is an output argument and on exit
contains the pivot indices from the factorization A = L*U
of the equilibrated matrix A.
EQUED
EQUED is
CHARACTER*1
Specifies the form of equilibration that was done.
= βNβ: No equilibration (always true if FACT =
βNβ).
= βRβ: Row equilibration, i.e., A has been
premultiplied by
diag(R).
= βCβ: Column equilibration, i.e., A has been
postmultiplied
by diag(C).
= βBβ: Both row and column equilibration, i.e.,
A has been
replaced by diag(R) * A * diag(C).
EQUED is an input argument if FACT = βFβ;
otherwise, it is an
output argument.
R
R is REAL
array, dimension (N)
The row scale factors for A. If EQUED = βRβ or
βBβ, A is
multiplied on the left by diag(R); if EQUED =
βNβ or βCβ, R
is not accessed. R is an input argument if FACT =
βFβ;
otherwise, R is an output argument. If FACT =
βFβ and
EQUED = βRβ or βBβ, each element of
R must be positive.
C
C is REAL
array, dimension (N)
The column scale factors for A. If EQUED = βCβ
or βBβ, A is
multiplied on the right by diag(C); if EQUED =
βNβ or βRβ, C
is not accessed. C is an input argument if FACT =
βFβ;
otherwise, C is an output argument. If FACT =
βFβ and
EQUED = βCβ or βBβ, each element of
C must be positive.
B
B is COMPLEX
array, dimension (LDB,NRHS)
On entry, the right hand side matrix B.
On exit,
if EQUED = βNβ, B is not modified;
if TRANS = βNβ and EQUED = βRβ or
βBβ, B is overwritten by
diag(R)*B;
if TRANS = βTβ or βCβ and EQUED =
βCβ or βBβ, B is
overwritten by diag(C)*B.
LDB
LDB is INTEGER
The leading dimension of the array B. LDB >=
max(1,N).
X
X is COMPLEX
array, dimension (LDX,NRHS)
If INFO = 0 or INFO = N+1, the N-by-NRHS solution matrix X
to the original system of equations. Note that A and B are
modified on exit if EQUED .ne. βNβ, and the
solution to the
equilibrated system is inv(diag(C))*X if TRANS =
βNβ and
EQUED = βCβ or βBβ, or
inv(diag(R))*X if TRANS = βTβ or βCβ
and EQUED = βRβ or βBβ.
LDX
LDX is INTEGER
The leading dimension of the array X. LDX >=
max(1,N).
RCOND
RCOND is REAL
The estimate of the reciprocal condition number of the
matrix
A after equilibration (if done). If RCOND is less than the
machine precision (in particular, if RCOND = 0), the matrix
is singular to working precision. This condition is
indicated by a return code of INFO > 0.
FERR
FERR is REAL
array, dimension (NRHS)
The estimated forward error bound for each solution vector
X(j) (the j-th column of the solution matrix X).
If XTRUE is the true solution corresponding to X(j), FERR(j)
is an estimated upper bound for the magnitude of the largest
element in (X(j) - XTRUE) divided by the magnitude of the
largest element in X(j). The estimate is as reliable as
the estimate for RCOND, and is almost always a slight
overestimate of the true error.
BERR
BERR is REAL
array, dimension (NRHS)
The componentwise relative backward error of each solution
vector X(j) (i.e., the smallest relative change in
any element of A or B that makes X(j) an exact
solution).
WORK
WORK is COMPLEX array, dimension (2*N)
RWORK
RWORK is REAL
array, dimension (MAX(1,N))
On exit, RWORK(1) contains the reciprocal pivot growth
factor norm(A)/norm(U). The βmax absolute
elementβ norm is
used. If RWORK(1) is much less than 1, then the stability
of the LU factorization of the (equilibrated) matrix A
could be poor. This also means that the solution X,
condition
estimator RCOND, and forward error bound FERR could be
unreliable. If factorization fails with 0<INFO<=N,
then
RWORK(1) contains the reciprocal pivot growth factor for the
leading INFO columns of A.
INFO
INFO is INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: if INFO = i, and i is
<= N: U(i,i) is exactly zero. The factorization
has been completed, but the factor U is exactly
singular, so the solution and error bounds
could not be computed. RCOND = 0 is returned.
= N+1: U is nonsingular, but RCOND is less than machine
precision, meaning that the matrix is singular
to working precision. Nevertheless, the
solution and error bounds are computed because
there are a number of situations where the
computed solution can be more accurate than the
value of RCOND would suggest.
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
subroutine dgbsvx (character fact, character trans, integer n, integer kl,integer ku, integer nrhs, double precision, dimension( ldab, * ) ab,integer ldab, double precision, dimension( ldafb, * ) afb, integerldafb, integer, dimension( * ) ipiv, character equed, double precision,dimension( * ) r, double precision, dimension( * ) c, double precision,dimension( ldb, * ) b, integer ldb, double precision, dimension( ldx, *) x, integer ldx, double precision rcond, double precision, dimension(* ) ferr, double precision, dimension( * ) berr, double precision,dimension( * ) work, integer, dimension( * ) iwork, integer info)
DGBSVX computes the solution to system of linear equations A * X = B for GB matrices
Purpose:
DGBSVX uses the
LU factorization to compute the solution to a real
system of linear equations A * X = B, A**T * X = B, or A**H
* X = B,
where A is a band matrix of order N with KL subdiagonals and
KU
superdiagonals, and X and B are N-by-NRHS matrices.
Error bounds on
the solution and a condition estimate are also
provided.
Description:
The following steps are performed by this subroutine:
1. If FACT =
βEβ, real scaling factors are computed to
equilibrate
the system:
TRANS = βNβ: diag(R)*A*diag(C) *inv(diag(C))*X =
diag(R)*B
TRANS = βTβ: (diag(R)*A*diag(C))**T
*inv(diag(R))*X = diag(C)*B
TRANS = βCβ: (diag(R)*A*diag(C))**H
*inv(diag(R))*X = diag(C)*B
Whether or not the system will be equilibrated depends on
the
scaling of the matrix A, but if equilibration is used, A is
overwritten by diag(R)*A*diag(C) and B by diag(R)*B (if
TRANS=βNβ)
or diag(C)*B (if TRANS = βTβ or
βCβ).
2. If FACT =
βNβ or βEβ, the LU decomposition is
used to factor the
matrix A (after equilibration if FACT = βEβ) as
A = L * U,
where L is a product of permutation and unit lower
triangular
matrices with KL subdiagonals, and U is upper triangular
with
KL+KU superdiagonals.
3. If some
U(i,i)=0, so that U is exactly singular, then the routine
returns with INFO = i. Otherwise, the factored form of A is
used
to estimate the condition number of the matrix A. If the
reciprocal of the condition number is less than machine
precision,
INFO = N+1 is returned as a warning, but the routine still
goes on
to solve for X and compute error bounds as described
below.
4. The system
of equations is solved for X using the factored form
of A.
5. Iterative
refinement is applied to improve the computed solution
matrix and calculate error bounds and backward error
estimates
for it.
6. If
equilibration was used, the matrix X is premultiplied by
diag(C) (if TRANS = βNβ) or diag(R) (if TRANS =
βTβ or βCβ) so
that it solves the original system before equilibration.
Parameters
FACT
FACT is
CHARACTER*1
Specifies whether or not the factored form of the matrix A
is
supplied on entry, and if not, whether the matrix A should
be
equilibrated before it is factored.
= βFβ: On entry, AFB and IPIV contain the
factored form of
A. If EQUED is not βNβ, the matrix A has been
equilibrated with scaling factors given by R and C.
AB, AFB, and IPIV are not modified.
= βNβ: The matrix A will be copied to AFB and
factored.
= βEβ: The matrix A will be equilibrated if
necessary, then
copied to AFB and factored.
TRANS
TRANS is
CHARACTER*1
Specifies the form of the system of equations.
= βNβ: A * X = B (No transpose)
= βTβ: A**T * X = B (Transpose)
= βCβ: A**H * X = B (Transpose)
N
N is INTEGER
The number of linear equations, i.e., the order of the
matrix A. N >= 0.
KL
KL is INTEGER
The number of subdiagonals within the band of A. KL >=
0.
KU
KU is INTEGER
The number of superdiagonals within the band of A. KU >=
0.
NRHS
NRHS is INTEGER
The number of right hand sides, i.e., the number of columns
of the matrices B and X. NRHS >= 0.
AB
AB is DOUBLE
PRECISION array, dimension (LDAB,N)
On entry, the matrix A in band storage, in rows 1 to
KL+KU+1.
The j-th column of A is stored in the j-th column of the
array AB as follows:
AB(KU+1+i-j,j) = A(i,j) for
max(1,j-KU)<=i<=min(N,j+kl)
If FACT =
βFβ and EQUED is not βNβ, then A
must have been
equilibrated by the scaling factors in R and/or C. AB is not
modified if FACT = βFβ or βNβ, or if
FACT = βEβ and
EQUED = βNβ on exit.
On exit, if
EQUED .ne. βNβ, A is scaled as follows:
EQUED = βRβ: A := diag(R) * A
EQUED = βCβ: A := A * diag(C)
EQUED = βBβ: A := diag(R) * A * diag(C).
LDAB
LDAB is INTEGER
The leading dimension of the array AB. LDAB >=
KL+KU+1.
AFB
AFB is DOUBLE
PRECISION array, dimension (LDAFB,N)
If FACT = βFβ, then AFB is an input argument and
on entry
contains details of the LU factorization of the band matrix
A, as computed by DGBTRF. U is stored as an upper triangular
band matrix with KL+KU superdiagonals in rows 1 to KL+KU+1,
and the multipliers used during the factorization are stored
in rows KL+KU+2 to 2*KL+KU+1. If EQUED .ne. βNβ,
then AFB is
the factored form of the equilibrated matrix A.
If FACT =
βNβ, then AFB is an output argument and on exit
returns details of the LU factorization of A.
If FACT =
βEβ, then AFB is an output argument and on exit
returns details of the LU factorization of the equilibrated
matrix A (see the description of AB for the form of the
equilibrated matrix).
LDAFB
LDAFB is
INTEGER
The leading dimension of the array AFB. LDAFB >=
2*KL+KU+1.
IPIV
IPIV is INTEGER
array, dimension (N)
If FACT = βFβ, then IPIV is an input argument
and on entry
contains the pivot indices from the factorization A = L*U
as computed by DGBTRF; row i of the matrix was interchanged
with row IPIV(i).
If FACT =
βNβ, then IPIV is an output argument and on exit
contains the pivot indices from the factorization A = L*U
of the original matrix A.
If FACT =
βEβ, then IPIV is an output argument and on exit
contains the pivot indices from the factorization A = L*U
of the equilibrated matrix A.
EQUED
EQUED is
CHARACTER*1
Specifies the form of equilibration that was done.
= βNβ: No equilibration (always true if FACT =
βNβ).
= βRβ: Row equilibration, i.e., A has been
premultiplied by
diag(R).
= βCβ: Column equilibration, i.e., A has been
postmultiplied
by diag(C).
= βBβ: Both row and column equilibration, i.e.,
A has been
replaced by diag(R) * A * diag(C).
EQUED is an input argument if FACT = βFβ;
otherwise, it is an
output argument.
R
R is DOUBLE
PRECISION array, dimension (N)
The row scale factors for A. If EQUED = βRβ or
βBβ, A is
multiplied on the left by diag(R); if EQUED =
βNβ or βCβ, R
is not accessed. R is an input argument if FACT =
βFβ;
otherwise, R is an output argument. If FACT =
βFβ and
EQUED = βRβ or βBβ, each element of
R must be positive.
C
C is DOUBLE
PRECISION array, dimension (N)
The column scale factors for A. If EQUED = βCβ
or βBβ, A is
multiplied on the right by diag(C); if EQUED =
βNβ or βRβ, C
is not accessed. C is an input argument if FACT =
βFβ;
otherwise, C is an output argument. If FACT =
βFβ and
EQUED = βCβ or βBβ, each element of
C must be positive.
B
B is DOUBLE
PRECISION array, dimension (LDB,NRHS)
On entry, the right hand side matrix B.
On exit,
if EQUED = βNβ, B is not modified;
if TRANS = βNβ and EQUED = βRβ or
βBβ, B is overwritten by
diag(R)*B;
if TRANS = βTβ or βCβ and EQUED =
βCβ or βBβ, B is
overwritten by diag(C)*B.
LDB
LDB is INTEGER
The leading dimension of the array B. LDB >=
max(1,N).
X
X is DOUBLE
PRECISION array, dimension (LDX,NRHS)
If INFO = 0 or INFO = N+1, the N-by-NRHS solution matrix X
to the original system of equations. Note that A and B are
modified on exit if EQUED .ne. βNβ, and the
solution to the
equilibrated system is inv(diag(C))*X if TRANS =
βNβ and
EQUED = βCβ or βBβ, or
inv(diag(R))*X if TRANS = βTβ or βCβ
and EQUED = βRβ or βBβ.
LDX
LDX is INTEGER
The leading dimension of the array X. LDX >=
max(1,N).
RCOND
RCOND is DOUBLE
PRECISION
The estimate of the reciprocal condition number of the
matrix
A after equilibration (if done). If RCOND is less than the
machine precision (in particular, if RCOND = 0), the matrix
is singular to working precision. This condition is
indicated by a return code of INFO > 0.
FERR
FERR is DOUBLE
PRECISION array, dimension (NRHS)
The estimated forward error bound for each solution vector
X(j) (the j-th column of the solution matrix X).
If XTRUE is the true solution corresponding to X(j), FERR(j)
is an estimated upper bound for the magnitude of the largest
element in (X(j) - XTRUE) divided by the magnitude of the
largest element in X(j). The estimate is as reliable as
the estimate for RCOND, and is almost always a slight
overestimate of the true error.
BERR
BERR is DOUBLE
PRECISION array, dimension (NRHS)
The componentwise relative backward error of each solution
vector X(j) (i.e., the smallest relative change in
any element of A or B that makes X(j) an exact
solution).
WORK
WORK is DOUBLE
PRECISION array, dimension (MAX(1,3*N))
On exit, WORK(1) contains the reciprocal pivot growth
factor norm(A)/norm(U). The βmax absolute
elementβ norm is
used. If WORK(1) is much less than 1, then the stability
of the LU factorization of the (equilibrated) matrix A
could be poor. This also means that the solution X,
condition
estimator RCOND, and forward error bound FERR could be
unreliable. If factorization fails with 0<INFO<=N,
then
WORK(1) contains the reciprocal pivot growth factor for the
leading INFO columns of A.
IWORK
IWORK is INTEGER array, dimension (N)
INFO
INFO is INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: if INFO = i, and i is
<= N: U(i,i) is exactly zero. The factorization
has been completed, but the factor U is exactly
singular, so the solution and error bounds
could not be computed. RCOND = 0 is returned.
= N+1: U is nonsingular, but RCOND is less than machine
precision, meaning that the matrix is singular
to working precision. Nevertheless, the
solution and error bounds are computed because
there are a number of situations where the
computed solution can be more accurate than the
value of RCOND would suggest.
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
subroutine sgbsvx (character fact, character trans, integer n, integer kl,integer ku, integer nrhs, real, dimension( ldab, * ) ab, integer ldab,real, dimension( ldafb, * ) afb, integer ldafb, integer, dimension( * )ipiv, character equed, real, dimension( * ) r, real, dimension( * ) c,real, dimension( ldb, * ) b, integer ldb, real, dimension( ldx, * ) x,integer ldx, real rcond, real, dimension( * ) ferr, real, dimension( *) berr, real, dimension( * ) work, integer, dimension( * ) iwork,integer info)
SGBSVX computes the solution to system of linear equations A * X = B for GB matrices
Purpose:
SGBSVX uses the
LU factorization to compute the solution to a real
system of linear equations A * X = B, A**T * X = B, or A**H
* X = B,
where A is a band matrix of order N with KL subdiagonals and
KU
superdiagonals, and X and B are N-by-NRHS matrices.
Error bounds on
the solution and a condition estimate are also
provided.
Description:
The following steps are performed by this subroutine:
1. If FACT =
βEβ, real scaling factors are computed to
equilibrate
the system:
TRANS = βNβ: diag(R)*A*diag(C) *inv(diag(C))*X =
diag(R)*B
TRANS = βTβ: (diag(R)*A*diag(C))**T
*inv(diag(R))*X = diag(C)*B
TRANS = βCβ: (diag(R)*A*diag(C))**H
*inv(diag(R))*X = diag(C)*B
Whether or not the system will be equilibrated depends on
the
scaling of the matrix A, but if equilibration is used, A is
overwritten by diag(R)*A*diag(C) and B by diag(R)*B (if
TRANS=βNβ)
or diag(C)*B (if TRANS = βTβ or
βCβ).
2. If FACT =
βNβ or βEβ, the LU decomposition is
used to factor the
matrix A (after equilibration if FACT = βEβ) as
A = L * U,
where L is a product of permutation and unit lower
triangular
matrices with KL subdiagonals, and U is upper triangular
with
KL+KU superdiagonals.
3. If some
U(i,i)=0, so that U is exactly singular, then the routine
returns with INFO = i. Otherwise, the factored form of A is
used
to estimate the condition number of the matrix A. If the
reciprocal of the condition number is less than machine
precision,
INFO = N+1 is returned as a warning, but the routine still
goes on
to solve for X and compute error bounds as described
below.
4. The system
of equations is solved for X using the factored form
of A.
5. Iterative
refinement is applied to improve the computed solution
matrix and calculate error bounds and backward error
estimates
for it.
6. If
equilibration was used, the matrix X is premultiplied by
diag(C) (if TRANS = βNβ) or diag(R) (if TRANS =
βTβ or βCβ) so
that it solves the original system before equilibration.
Parameters
FACT
FACT is
CHARACTER*1
Specifies whether or not the factored form of the matrix A
is
supplied on entry, and if not, whether the matrix A should
be
equilibrated before it is factored.
= βFβ: On entry, AFB and IPIV contain the
factored form of
A. If EQUED is not βNβ, the matrix A has been
equilibrated with scaling factors given by R and C.
AB, AFB, and IPIV are not modified.
= βNβ: The matrix A will be copied to AFB and
factored.
= βEβ: The matrix A will be equilibrated if
necessary, then
copied to AFB and factored.
TRANS
TRANS is
CHARACTER*1
Specifies the form of the system of equations.
= βNβ: A * X = B (No transpose)
= βTβ: A**T * X = B (Transpose)
= βCβ: A**H * X = B (Transpose)
N
N is INTEGER
The number of linear equations, i.e., the order of the
matrix A. N >= 0.
KL
KL is INTEGER
The number of subdiagonals within the band of A. KL >=
0.
KU
KU is INTEGER
The number of superdiagonals within the band of A. KU >=
0.
NRHS
NRHS is INTEGER
The number of right hand sides, i.e., the number of columns
of the matrices B and X. NRHS >= 0.
AB
AB is REAL
array, dimension (LDAB,N)
On entry, the matrix A in band storage, in rows 1 to
KL+KU+1.
The j-th column of A is stored in the j-th column of the
array AB as follows:
AB(KU+1+i-j,j) = A(i,j) for
max(1,j-KU)<=i<=min(N,j+kl)
If FACT =
βFβ and EQUED is not βNβ, then A
must have been
equilibrated by the scaling factors in R and/or C. AB is not
modified if FACT = βFβ or βNβ, or if
FACT = βEβ and
EQUED = βNβ on exit.
On exit, if
EQUED .ne. βNβ, A is scaled as follows:
EQUED = βRβ: A := diag(R) * A
EQUED = βCβ: A := A * diag(C)
EQUED = βBβ: A := diag(R) * A * diag(C).
LDAB
LDAB is INTEGER
The leading dimension of the array AB. LDAB >=
KL+KU+1.
AFB
AFB is REAL
array, dimension (LDAFB,N)
If FACT = βFβ, then AFB is an input argument and
on entry
contains details of the LU factorization of the band matrix
A, as computed by SGBTRF. U is stored as an upper triangular
band matrix with KL+KU superdiagonals in rows 1 to KL+KU+1,
and the multipliers used during the factorization are stored
in rows KL+KU+2 to 2*KL+KU+1. If EQUED .ne. βNβ,
then AFB is
the factored form of the equilibrated matrix A.
If FACT =
βNβ, then AFB is an output argument and on exit
returns details of the LU factorization of A.
If FACT =
βEβ, then AFB is an output argument and on exit
returns details of the LU factorization of the equilibrated
matrix A (see the description of AB for the form of the
equilibrated matrix).
LDAFB
LDAFB is
INTEGER
The leading dimension of the array AFB. LDAFB >=
2*KL+KU+1.
IPIV
IPIV is INTEGER
array, dimension (N)
If FACT = βFβ, then IPIV is an input argument
and on entry
contains the pivot indices from the factorization A = L*U
as computed by SGBTRF; row i of the matrix was interchanged
with row IPIV(i).
If FACT =
βNβ, then IPIV is an output argument and on exit
contains the pivot indices from the factorization A = L*U
of the original matrix A.
If FACT =
βEβ, then IPIV is an output argument and on exit
contains the pivot indices from the factorization A = L*U
of the equilibrated matrix A.
EQUED
EQUED is
CHARACTER*1
Specifies the form of equilibration that was done.
= βNβ: No equilibration (always true if FACT =
βNβ).
= βRβ: Row equilibration, i.e., A has been
premultiplied by
diag(R).
= βCβ: Column equilibration, i.e., A has been
postmultiplied
by diag(C).
= βBβ: Both row and column equilibration, i.e.,
A has been
replaced by diag(R) * A * diag(C).
EQUED is an input argument if FACT = βFβ;
otherwise, it is an
output argument.
R
R is REAL
array, dimension (N)
The row scale factors for A. If EQUED = βRβ or
βBβ, A is
multiplied on the left by diag(R); if EQUED =
βNβ or βCβ, R
is not accessed. R is an input argument if FACT =
βFβ;
otherwise, R is an output argument. If FACT =
βFβ and
EQUED = βRβ or βBβ, each element of
R must be positive.
C
C is REAL
array, dimension (N)
The column scale factors for A. If EQUED = βCβ
or βBβ, A is
multiplied on the right by diag(C); if EQUED =
βNβ or βRβ, C
is not accessed. C is an input argument if FACT =
βFβ;
otherwise, C is an output argument. If FACT =
βFβ and
EQUED = βCβ or βBβ, each element of
C must be positive.
B
B is REAL
array, dimension (LDB,NRHS)
On entry, the right hand side matrix B.
On exit,
if EQUED = βNβ, B is not modified;
if TRANS = βNβ and EQUED = βRβ or
βBβ, B is overwritten by
diag(R)*B;
if TRANS = βTβ or βCβ and EQUED =
βCβ or βBβ, B is
overwritten by diag(C)*B.
LDB
LDB is INTEGER
The leading dimension of the array B. LDB >=
max(1,N).
X
X is REAL
array, dimension (LDX,NRHS)
If INFO = 0 or INFO = N+1, the N-by-NRHS solution matrix X
to the original system of equations. Note that A and B are
modified on exit if EQUED .ne. βNβ, and the
solution to the
equilibrated system is inv(diag(C))*X if TRANS =
βNβ and
EQUED = βCβ or βBβ, or
inv(diag(R))*X if TRANS = βTβ or βCβ
and EQUED = βRβ or βBβ.
LDX
LDX is INTEGER
The leading dimension of the array X. LDX >=
max(1,N).
RCOND
RCOND is REAL
The estimate of the reciprocal condition number of the
matrix
A after equilibration (if done). If RCOND is less than the
machine precision (in particular, if RCOND = 0), the matrix
is singular to working precision. This condition is
indicated by a return code of INFO > 0.
FERR
FERR is REAL
array, dimension (NRHS)
The estimated forward error bound for each solution vector
X(j) (the j-th column of the solution matrix X).
If XTRUE is the true solution corresponding to X(j), FERR(j)
is an estimated upper bound for the magnitude of the largest
element in (X(j) - XTRUE) divided by the magnitude of the
largest element in X(j). The estimate is as reliable as
the estimate for RCOND, and is almost always a slight
overestimate of the true error.
BERR
BERR is REAL
array, dimension (NRHS)
The componentwise relative backward error of each solution
vector X(j) (i.e., the smallest relative change in
any element of A or B that makes X(j) an exact
solution).
WORK
WORK is REAL
array, dimension (MAX(1,3*N))
On exit, WORK(1) contains the reciprocal pivot growth
factor norm(A)/norm(U). The βmax absolute
elementβ norm is
used. If WORK(1) is much less than 1, then the stability
of the LU factorization of the (equilibrated) matrix A
could be poor. This also means that the solution X,
condition
estimator RCOND, and forward error bound FERR could be
unreliable. If factorization fails with 0<INFO<=N,
then
WORK(1) contains the reciprocal pivot growth factor for the
leading INFO columns of A.
IWORK
IWORK is INTEGER array, dimension (N)
INFO
INFO is INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: if INFO = i, and i is
<= N: U(i,i) is exactly zero. The factorization
has been completed, but the factor U is exactly
singular, so the solution and error bounds
could not be computed. RCOND = 0 is returned.
= N+1: U is nonsingular, but RCOND is less than machine
precision, meaning that the matrix is singular
to working precision. Nevertheless, the
solution and error bounds are computed because
there are a number of situations where the
computed solution can be more accurate than the
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
subroutine zgbsvx (character fact, character trans, integer n, integer kl,integer ku, integer nrhs, complex*16, dimension( ldab, * ) ab, integerldab, complex*16, dimension( ldafb, * ) afb, integer ldafb, integer,dimension( * ) ipiv, character equed, double precision, dimension( * )r, double precision, dimension( * ) c, complex*16, dimension( ldb, * )b, integer ldb, complex*16, dimension( ldx, * ) x, integer ldx, doubleprecision rcond, double precision, dimension( * ) ferr, doubleprecision, dimension( * ) berr, complex*16, dimension( * ) work, doubleprecision, dimension( * ) rwork, integer info)
ZGBSVX computes the solution to system of linear equations A * X = B for GB matrices
Purpose:
ZGBSVX uses the
LU factorization to compute the solution to a complex
system of linear equations A * X = B, A**T * X = B, or A**H
* X = B,
where A is a band matrix of order N with KL subdiagonals and
KU
superdiagonals, and X and B are N-by-NRHS matrices.
Error bounds on
the solution and a condition estimate are also
provided.
Description:
The following steps are performed by this subroutine:
1. If FACT =
βEβ, real scaling factors are computed to
equilibrate
the system:
TRANS = βNβ: diag(R)*A*diag(C) *inv(diag(C))*X =
diag(R)*B
TRANS = βTβ: (diag(R)*A*diag(C))**T
*inv(diag(R))*X = diag(C)*B
TRANS = βCβ: (diag(R)*A*diag(C))**H
*inv(diag(R))*X = diag(C)*B
Whether or not the system will be equilibrated depends on
the
scaling of the matrix A, but if equilibration is used, A is
overwritten by diag(R)*A*diag(C) and B by diag(R)*B (if
TRANS=βNβ)
or diag(C)*B (if TRANS = βTβ or
βCβ).
2. If FACT =
βNβ or βEβ, the LU decomposition is
used to factor the
matrix A (after equilibration if FACT = βEβ) as
A = L * U,
where L is a product of permutation and unit lower
triangular
matrices with KL subdiagonals, and U is upper triangular
with
KL+KU superdiagonals.
3. If some
U(i,i)=0, so that U is exactly singular, then the routine
returns with INFO = i. Otherwise, the factored form of A is
used
to estimate the condition number of the matrix A. If the
reciprocal of the condition number is less than machine
precision,
INFO = N+1 is returned as a warning, but the routine still
goes on
to solve for X and compute error bounds as described
below.
4. The system
of equations is solved for X using the factored form
of A.
5. Iterative
refinement is applied to improve the computed solution
matrix and calculate error bounds and backward error
estimates
for it.
6. If
equilibration was used, the matrix X is premultiplied by
diag(C) (if TRANS = βNβ) or diag(R) (if TRANS =
βTβ or βCβ) so
that it solves the original system before equilibration.
Parameters
FACT
FACT is
CHARACTER*1
Specifies whether or not the factored form of the matrix A
is
supplied on entry, and if not, whether the matrix A should
be
equilibrated before it is factored.
= βFβ: On entry, AFB and IPIV contain the
factored form of
A. If EQUED is not βNβ, the matrix A has been
equilibrated with scaling factors given by R and C.
AB, AFB, and IPIV are not modified.
= βNβ: The matrix A will be copied to AFB and
factored.
= βEβ: The matrix A will be equilibrated if
necessary, then
copied to AFB and factored.
TRANS
TRANS is
CHARACTER*1
Specifies the form of the system of equations.
= βNβ: A * X = B (No transpose)
= βTβ: A**T * X = B (Transpose)
= βCβ: A**H * X = B (Conjugate transpose)
N
N is INTEGER
The number of linear equations, i.e., the order of the
matrix A. N >= 0.
KL
KL is INTEGER
The number of subdiagonals within the band of A. KL >=
0.
KU
KU is INTEGER
The number of superdiagonals within the band of A. KU >=
0.
NRHS
NRHS is INTEGER
The number of right hand sides, i.e., the number of columns
of the matrices B and X. NRHS >= 0.
AB
AB is
COMPLEX*16 array, dimension (LDAB,N)
On entry, the matrix A in band storage, in rows 1 to
KL+KU+1.
The j-th column of A is stored in the j-th column of the
array AB as follows:
AB(KU+1+i-j,j) = A(i,j) for
max(1,j-KU)<=i<=min(N,j+kl)
If FACT =
βFβ and EQUED is not βNβ, then A
must have been
equilibrated by the scaling factors in R and/or C. AB is not
modified if FACT = βFβ or βNβ, or if
FACT = βEβ and
EQUED = βNβ on exit.
On exit, if
EQUED .ne. βNβ, A is scaled as follows:
EQUED = βRβ: A := diag(R) * A
EQUED = βCβ: A := A * diag(C)
EQUED = βBβ: A := diag(R) * A * diag(C).
LDAB
LDAB is INTEGER
The leading dimension of the array AB. LDAB >=
KL+KU+1.
AFB
AFB is
COMPLEX*16 array, dimension (LDAFB,N)
If FACT = βFβ, then AFB is an input argument and
on entry
contains details of the LU factorization of the band matrix
A, as computed by ZGBTRF. U is stored as an upper triangular
band matrix with KL+KU superdiagonals in rows 1 to KL+KU+1,
and the multipliers used during the factorization are stored
in rows KL+KU+2 to 2*KL+KU+1. If EQUED .ne. βNβ,
then AFB is
the factored form of the equilibrated matrix A.
If FACT =
βNβ, then AFB is an output argument and on exit
returns details of the LU factorization of A.
If FACT =
βEβ, then AFB is an output argument and on exit
returns details of the LU factorization of the equilibrated
matrix A (see the description of AB for the form of the
equilibrated matrix).
LDAFB
LDAFB is
INTEGER
The leading dimension of the array AFB. LDAFB >=
2*KL+KU+1.
IPIV
IPIV is INTEGER
array, dimension (N)
If FACT = βFβ, then IPIV is an input argument
and on entry
contains the pivot indices from the factorization A = L*U
as computed by ZGBTRF; row i of the matrix was interchanged
with row IPIV(i).
If FACT =
βNβ, then IPIV is an output argument and on exit
contains the pivot indices from the factorization A = L*U
of the original matrix A.
If FACT =
βEβ, then IPIV is an output argument and on exit
contains the pivot indices from the factorization A = L*U
of the equilibrated matrix A.
EQUED
EQUED is
CHARACTER*1
Specifies the form of equilibration that was done.
= βNβ: No equilibration (always true if FACT =
βNβ).
= βRβ: Row equilibration, i.e., A has been
premultiplied by
diag(R).
= βCβ: Column equilibration, i.e., A has been
postmultiplied
by diag(C).
= βBβ: Both row and column equilibration, i.e.,
A has been
replaced by diag(R) * A * diag(C).
EQUED is an input argument if FACT = βFβ;
otherwise, it is an
output argument.
R
R is DOUBLE
PRECISION array, dimension (N)
The row scale factors for A. If EQUED = βRβ or
βBβ, A is
multiplied on the left by diag(R); if EQUED =
βNβ or βCβ, R
is not accessed. R is an input argument if FACT =
βFβ;
otherwise, R is an output argument. If FACT =
βFβ and
EQUED = βRβ or βBβ, each element of
R must be positive.
C
C is DOUBLE
PRECISION array, dimension (N)
The column scale factors for A. If EQUED = βCβ
or βBβ, A is
multiplied on the right by diag(C); if EQUED =
βNβ or βRβ, C
is not accessed. C is an input argument if FACT =
βFβ;
otherwise, C is an output argument. If FACT =
βFβ and
EQUED = βCβ or βBβ, each element of
C must be positive.
B
B is COMPLEX*16
array, dimension (LDB,NRHS)
On entry, the right hand side matrix B.
On exit,
if EQUED = βNβ, B is not modified;
if TRANS = βNβ and EQUED = βRβ or
βBβ, B is overwritten by
diag(R)*B;
if TRANS = βTβ or βCβ and EQUED =
βCβ or βBβ, B is
overwritten by diag(C)*B.
LDB
LDB is INTEGER
The leading dimension of the array B. LDB >=
max(1,N).
X
X is COMPLEX*16
array, dimension (LDX,NRHS)
If INFO = 0 or INFO = N+1, the N-by-NRHS solution matrix X
to the original system of equations. Note that A and B are
modified on exit if EQUED .ne. βNβ, and the
solution to the
equilibrated system is inv(diag(C))*X if TRANS =
βNβ and
EQUED = βCβ or βBβ, or
inv(diag(R))*X if TRANS = βTβ or βCβ
and EQUED = βRβ or βBβ.
LDX
LDX is INTEGER
The leading dimension of the array X. LDX >=
max(1,N).
RCOND
RCOND is DOUBLE
PRECISION
The estimate of the reciprocal condition number of the
matrix
A after equilibration (if done). If RCOND is less than the
machine precision (in particular, if RCOND = 0), the matrix
is singular to working precision. This condition is
indicated by a return code of INFO > 0.
FERR
FERR is DOUBLE
PRECISION array, dimension (NRHS)
The estimated forward error bound for each solution vector
X(j) (the j-th column of the solution matrix X).
If XTRUE is the true solution corresponding to X(j), FERR(j)
is an estimated upper bound for the magnitude of the largest
element in (X(j) - XTRUE) divided by the magnitude of the
largest element in X(j). The estimate is as reliable as
the estimate for RCOND, and is almost always a slight
overestimate of the true error.
BERR
BERR is DOUBLE
PRECISION array, dimension (NRHS)
The componentwise relative backward error of each solution
vector X(j) (i.e., the smallest relative change in
any element of A or B that makes X(j) an exact
solution).
WORK
WORK is COMPLEX*16 array, dimension (2*N)
RWORK
RWORK is DOUBLE
PRECISION array, dimension (MAX(1,N))
On exit, RWORK(1) contains the reciprocal pivot growth
factor norm(A)/norm(U). The βmax absolute
elementβ norm is
used. If RWORK(1) is much less than 1, then the stability
of the LU factorization of the (equilibrated) matrix A
could be poor. This also means that the solution X,
condition
estimator RCOND, and forward error bound FERR could be
unreliable. If factorization fails with 0<INFO<=N,
then
RWORK(1) contains the reciprocal pivot growth factor for the
leading INFO columns of A.
INFO
INFO is INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: if INFO = i, and i is
<= N: U(i,i) is exactly zero. The factorization
has been completed, but the factor U is exactly
singular, so the solution and error bounds
could not be computed. RCOND = 0 is returned.
= N+1: U is nonsingular, but RCOND is less than machine
precision, meaning that the matrix is singular
to working precision. Nevertheless, the
solution and error bounds are computed because
there are a number of situations where the
computed solution can be more accurate than the
value of RCOND would suggest.
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Author
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