C# Class Coon.Compass.Procyon.alglib.alglib

Afficher le fichier Open project: dbaileychess/Compass Class Usage Examples

Méthodes publiques

Méthode	Description
cmatrixcopy ( int m, int n, complex a, int ia, int ja, complex &b, int ib, int jb ) : void
cmatrixgemm ( int m, int n, int k, complex alpha, complex a, int ia, int ja, int optypea, complex b, int ib, int jb, int optypeb, complex beta, complex &c, int ic, int jc ) : void
cmatrixlefttrsm ( int m, int n, complex a, int i1, int j1, bool isupper, bool isunit, int optype, complex &x, int i2, int j2 ) : void
cmatrixlusolve ( complex lua, int p, int n, complex b, int &info, densesolverreport &rep, complex &x ) : void
cmatrixlusolvem ( complex lua, int p, int n, complex b, int m, int &info, densesolverreport &rep, complex &x ) : void
cmatrixmixedsolve ( complex a, complex lua, int p, int n, complex b, int &info, densesolverreport &rep, complex &x ) : void
cmatrixmixedsolvem ( complex a, complex lua, int p, int n, complex b, int m, int &info, densesolverreport &rep, complex &x ) : void
cmatrixmv ( int m, int n, complex a, int ia, int ja, int opa, complex x, int ix, complex &y, int iy ) : void
cmatrixrank1 ( int m, int n, complex &a, int ia, int ja, complex &u, int iu, complex &v, int iv ) : void
cmatrixrighttrsm ( int m, int n, complex a, int i1, int j1, bool isupper, bool isunit, int optype, complex &x, int i2, int j2 ) : void
cmatrixsolve ( complex a, int n, complex b, int &info, densesolverreport &rep, complex &x ) : void
cmatrixsolvem ( complex a, int n, complex b, int m, bool rfs, int &info, densesolverreport &rep, complex &x ) : void
cmatrixsyrk ( int n, int k, double alpha, complex a, int ia, int ja, int optypea, double beta, complex &c, int ic, int jc, bool isupper ) : void
cmatrixtranspose ( int m, int n, complex a, int ia, int ja, complex &b, int ib, int jb ) : void
cov2 ( double x, double y ) : double
cov2 ( double x, double y, int n ) : double
covm ( double x, double &c ) : void
covm ( double x, int n, int m, double &c ) : void
covm2 ( double x, double y, double &c ) : void
covm2 ( double x, double y, int n, int m1, int m2, double &c ) : void
dsoptimalsplit2 ( double a, int c, int n, int &info, double &threshold, double &pal, double &pbl, double &par, double &pbr, double &cve ) : void
dsoptimalsplit2fast ( double &a, int &c, int &tiesbuf, int &cntbuf, double &bufr, int &bufi, int n, int nc, double alpha, int &info, double &threshold, double &rms, double &cvrms ) : void
fftc1d ( complex &a ) : void
fftc1d ( complex &a, int n ) : void
fftc1dinv ( complex &a ) : void
fftc1dinv ( complex &a, int n ) : void
fftr1d ( double a, complex &f ) : void
fftr1d ( double a, int n, complex &f ) : void
fftr1dinv ( complex f, double &a ) : void
fftr1dinv ( complex f, int n, double &a ) : void
gammafunction ( double x ) : double
gqgenerategausshermite ( int n, int &info, double &x, double &w ) : void
gqgenerategaussjacobi ( int n, double alpha, double beta, int &info, double &x, double &w ) : void
gqgenerategausslaguerre ( int n, double alpha, int &info, double &x, double &w ) : void
gqgenerategausslegendre ( int n, int &info, double &x, double &w ) : void
gqgenerategausslobattorec ( double alpha, double beta, double mu0, double a, double b, int n, int &info, double &x, double &w ) : void
gqgenerategaussradaurec ( double alpha, double beta, double mu0, double a, int n, int &info, double &x, double &w ) : void
gqgeneraterec ( double alpha, double beta, double mu0, int n, int &info, double &x, double &w ) : void
hpdmatrixcholeskysolve ( complex cha, int n, bool isupper, complex b, int &info, densesolverreport &rep, complex &x ) : void
hpdmatrixcholeskysolvem ( complex cha, int n, bool isupper, complex b, int m, int &info, densesolverreport &rep, complex &x ) : void
hpdmatrixsolve ( complex a, int n, bool isupper, complex b, int &info, densesolverreport &rep, complex &x ) : void
hpdmatrixsolvem ( complex a, int n, bool isupper, complex b, int m, int &info, densesolverreport &rep, complex &x ) : void
hqrndcontinuous ( hqrndstate state, double x, int n ) : double
hqrnddiscrete ( hqrndstate state, double x, int n ) : double
hqrndexponential ( hqrndstate state, double lambdav ) : double
hqrndnormal ( hqrndstate state ) : double
hqrndnormal2 ( hqrndstate state, double &x1, double &x2 ) : void
hqrndrandomize ( hqrndstate &state ) : void
hqrndseed ( int s1, int s2, hqrndstate &state ) : void
hqrnduniformi ( hqrndstate state, int n ) : int
hqrnduniformr ( hqrndstate state ) : double
hqrndunit2 ( hqrndstate state, double &x, double &y ) : void
idwbuildmodifiedshepard ( double xy, int n, int nx, int d, int nq, int nw, idwinterpolant &z ) : void
idwbuildmodifiedshepardr ( double xy, int n, int nx, double r, idwinterpolant &z ) : void
idwbuildnoisy ( double xy, int n, int nx, int d, int nq, int nw, idwinterpolant &z ) : void
idwcalc ( idwinterpolant z, double x ) : double
lngamma ( double x, double &sgngam ) : double
mincgcreate ( double x, mincgstate &state ) : void
mincgcreate ( int n, double x, mincgstate &state ) : void
mincgcreatef ( double x, double diffstep, mincgstate &state ) : void
mincgcreatef ( int n, double x, double diffstep, mincgstate &state ) : void
mincgiteration ( mincgstate state ) : bool
mincgoptimize ( mincgstate state, ndimensional_func func, ndimensional_rep rep, object obj ) : void
mincgoptimize ( mincgstate state, ndimensional_grad grad, ndimensional_rep rep, object obj ) : void
mincgrestartfrom ( mincgstate state, double x ) : void
mincgresults ( mincgstate state, double &x, mincgreport &rep ) : void
mincgresultsbuf ( mincgstate state, double &x, mincgreport rep ) : void
mincgsetcgtype ( mincgstate state, int cgtype ) : void
mincgsetcond ( mincgstate state, double epsg, double epsf, double epsx, int maxits ) : void
mincgsetgradientcheck ( mincgstate state, double teststep ) : void
mincgsetprecdefault ( mincgstate state ) : void
mincgsetprecdiag ( mincgstate state, double d ) : void
mincgsetprecscale ( mincgstate state ) : void
mincgsetscale ( mincgstate state, double s ) : void
mincgsetstpmax ( mincgstate state, double stpmax ) : void
mincgsetxrep ( mincgstate state, bool needxrep ) : void
mincgsuggeststep ( mincgstate state, double stp ) : void
odesolveriteration ( odesolverstate state ) : bool
odesolverresults ( odesolverstate state, int &m, double &xtbl, double &ytbl, odesolverreport &rep ) : void
odesolverrkck ( double y, double x, double eps, double h, odesolverstate &state ) : void
odesolverrkck ( double y, int n, double x, int m, double eps, double h, odesolverstate &state ) : void
odesolversolve ( odesolverstate state, ndimensional_ode_rp diff, object obj ) : void
pearsoncorr2 ( double x, double y ) : double
pearsoncorr2 ( double x, double y, int n ) : double
pearsoncorrelation ( double x, double y, int n ) : double
pearsoncorrm ( double x, double &c ) : void
pearsoncorrm ( double x, int n, int m, double &c ) : void
pearsoncorrm2 ( double x, double y, double &c ) : void
pearsoncorrm2 ( double x, double y, int n, int m1, int m2, double &c ) : void
rankdata ( double &xy ) : void
rankdata ( double &xy, int npoints, int nfeatures ) : void
rankdatacentered ( double &xy ) : void
rankdatacentered ( double &xy, int npoints, int nfeatures ) : void
rmatrixcopy ( int m, int n, double a, int ia, int ja, double &b, int ib, int jb ) : void
rmatrixenforcesymmetricity ( double &a, int n, bool isupper ) : void
rmatrixgemm ( int m, int n, int k, double alpha, double a, int ia, int ja, int optypea, double b, int ib, int jb, int optypeb, double beta, double &c, int ic, int jc ) : void
rmatrixlefttrsm ( int m, int n, double a, int i1, int j1, bool isupper, bool isunit, int optype, double &x, int i2, int j2 ) : void
rmatrixlusolve ( double lua, int p, int n, double b, int &info, densesolverreport &rep, double &x ) : void
rmatrixlusolvem ( double lua, int p, int n, double b, int m, int &info, densesolverreport &rep, double &x ) : void
rmatrixmixedsolve ( double a, double lua, int p, int n, double b, int &info, densesolverreport &rep, double &x ) : void
rmatrixmixedsolvem ( double a, double lua, int p, int n, double b, int m, int &info, densesolverreport &rep, double &x ) : void
rmatrixmv ( int m, int n, double a, int ia, int ja, int opa, double x, int ix, double &y, int iy ) : void
rmatrixrank1 ( int m, int n, double &a, int ia, int ja, double &u, int iu, double &v, int iv ) : void
rmatrixrighttrsm ( int m, int n, double a, int i1, int j1, bool isupper, bool isunit, int optype, double &x, int i2, int j2 ) : void
rmatrixsolve ( double a, int n, double b, int &info, densesolverreport &rep, double &x ) : void
rmatrixsolvels ( double a, int nrows, int ncols, double b, double threshold, int &info, densesolverlsreport &rep, double &x ) : void
rmatrixsolvem ( double a, int n, double b, int m, bool rfs, int &info, densesolverreport &rep, double &x ) : void
rmatrixsyrk ( int n, int k, double alpha, double a, int ia, int ja, int optypea, double beta, double &c, int ic, int jc, bool isupper ) : void
rmatrixtranspose ( int m, int n, double a, int ia, int ja, double &b, int ib, int jb ) : void
sampleadev ( double x, double &adev ) : void
sampleadev ( double x, int n, double &adev ) : void
samplekurtosis ( double x ) : double
samplekurtosis ( double x, int n ) : double
samplemean ( double x ) : double
samplemean ( double x, int n ) : double
samplemedian ( double x, double &median ) : void
samplemedian ( double x, int n, double &median ) : void
samplemoments ( double x, double &mean, double &variance, double &skewness, double &kurtosis ) : void
samplemoments ( double x, int n, double &mean, double &variance, double &skewness, double &kurtosis ) : void
samplepercentile ( double x, double p, double &v ) : void
samplepercentile ( double x, int n, double p, double &v ) : void
sampleskewness ( double x ) : double
sampleskewness ( double x, int n ) : double
samplevariance ( double x ) : double
samplevariance ( double x, int n ) : double
smp_cmatrixgemm ( int m, int n, int k, complex alpha, complex a, int ia, int ja, int optypea, complex b, int ib, int jb, int optypeb, complex beta, complex &c, int ic, int jc ) : void
smp_cmatrixlefttrsm ( int m, int n, complex a, int i1, int j1, bool isupper, bool isunit, int optype, complex &x, int i2, int j2 ) : void
smp_cmatrixrighttrsm ( int m, int n, complex a, int i1, int j1, bool isupper, bool isunit, int optype, complex &x, int i2, int j2 ) : void
smp_cmatrixsyrk ( int n, int k, double alpha, complex a, int ia, int ja, int optypea, double beta, complex &c, int ic, int jc, bool isupper ) : void
smp_covm ( double x, double &c ) : void
smp_covm ( double x, int n, int m, double &c ) : void
smp_covm2 ( double x, double y, double &c ) : void
smp_covm2 ( double x, double y, int n, int m1, int m2, double &c ) : void
smp_pearsoncorrm ( double x, double &c ) : void
smp_pearsoncorrm ( double x, int n, int m, double &c ) : void
smp_pearsoncorrm2 ( double x, double y, double &c ) : void
smp_pearsoncorrm2 ( double x, double y, int n, int m1, int m2, double &c ) : void
smp_rankdata ( double &xy ) : void
smp_rankdata ( double &xy, int npoints, int nfeatures ) : void
smp_rankdatacentered ( double &xy ) : void
smp_rankdatacentered ( double &xy, int npoints, int nfeatures ) : void
smp_rmatrixgemm ( int m, int n, int k, double alpha, double a, int ia, int ja, int optypea, double b, int ib, int jb, int optypeb, double beta, double &c, int ic, int jc ) : void
smp_rmatrixlefttrsm ( int m, int n, double a, int i1, int j1, bool isupper, bool isunit, int optype, double &x, int i2, int j2 ) : void
smp_rmatrixrighttrsm ( int m, int n, double a, int i1, int j1, bool isupper, bool isunit, int optype, double &x, int i2, int j2 ) : void
smp_rmatrixsyrk ( int n, int k, double alpha, double a, int ia, int ja, int optypea, double beta, double &c, int ic, int jc, bool isupper ) : void
smp_spearmancorrm ( double x, double &c ) : void
smp_spearmancorrm ( double x, int n, int m, double &c ) : void
smp_spearmancorrm2 ( double x, double y, double &c ) : void
smp_spearmancorrm2 ( double x, double y, int n, int m1, int m2, double &c ) : void
spdmatrixcholeskysolve ( double cha, int n, bool isupper, double b, int &info, densesolverreport &rep, double &x ) : void
spdmatrixcholeskysolvem ( double cha, int n, bool isupper, double b, int m, int &info, densesolverreport &rep, double &x ) : void
spdmatrixsolve ( double a, int n, bool isupper, double b, int &info, densesolverreport &rep, double &x ) : void
spdmatrixsolvem ( double a, int n, bool isupper, double b, int m, int &info, densesolverreport &rep, double &x ) : void
spearmancorr2 ( double x, double y ) : double
spearmancorr2 ( double x, double y, int n ) : double
spearmancorrm ( double x, double &c ) : void
spearmancorrm ( double x, int n, int m, double &c ) : void
spearmancorrm2 ( double x, double y, double &c ) : void
spearmancorrm2 ( double x, double y, int n, int m1, int m2, double &c ) : void
spearmanrankcorrelation ( double x, double y, int n ) : double

Method Details

cmatrixcopy() public static méthode

public static cmatrixcopy ( int m, int n, complex a, int ia, int ja, complex &b, int ib, int jb ) : void
m	int
n	int
a	complex
ia	int
ja	int
b	complex
ib	int
jb	int
Résultat	void

cmatrixgemm() public static méthode

public static cmatrixgemm ( int m, int n, int k, complex alpha, complex a, int ia, int ja, int optypea, complex b, int ib, int jb, int optypeb, complex beta, complex &c, int ic, int jc ) : void
m	int
n	int
k	int
alpha	complex
a	complex
ia	int
ja	int
optypea	int
b	complex
ib	int
jb	int
optypeb	int
beta	complex
c	complex
ic	int
jc	int
Résultat	void

cmatrixlefttrsm() public static méthode

public static cmatrixlefttrsm ( int m, int n, complex a, int i1, int j1, bool isupper, bool isunit, int optype, complex &x, int i2, int j2 ) : void
m	int
n	int
a	complex
i1	int
j1	int
isupper	bool
isunit	bool
optype	int
x	complex
i2	int
j2	int
Résultat	void

cmatrixlusolve() public static méthode

public static cmatrixlusolve ( complex lua, int p, int n, complex b, int &info, densesolverreport &rep, complex &x ) : void
lua	complex
p	int
n	int
b	complex
info	int
rep	densesolverreport
x	complex
Résultat	void

cmatrixlusolvem() public static méthode

public static cmatrixlusolvem ( complex lua, int p, int n, complex b, int m, int &info, densesolverreport &rep, complex &x ) : void
lua	complex
p	int
n	int
b	complex
m	int
info	int
rep	densesolverreport
x	complex
Résultat	void

cmatrixmixedsolve() public static méthode

public static cmatrixmixedsolve ( complex a, complex lua, int p, int n, complex b, int &info, densesolverreport &rep, complex &x ) : void
a	complex
lua	complex
p	int
n	int
b	complex
info	int
rep	densesolverreport
x	complex
Résultat	void

cmatrixmixedsolvem() public static méthode

public static cmatrixmixedsolvem ( complex a, complex lua, int p, int n, complex b, int m, int &info, densesolverreport &rep, complex &x ) : void
a	complex
lua	complex
p	int
n	int
b	complex
m	int
info	int
rep	densesolverreport
x	complex
Résultat	void

cmatrixmv() public static méthode

public static cmatrixmv ( int m, int n, complex a, int ia, int ja, int opa, complex x, int ix, complex &y, int iy ) : void
m	int
n	int
a	complex
ia	int
ja	int
opa	int
x	complex
ix	int
y	complex
iy	int
Résultat	void

cmatrixrank1() public static méthode

public static cmatrixrank1 ( int m, int n, complex &a, int ia, int ja, complex &u, int iu, complex &v, int iv ) : void
m	int
n	int
a	complex
ia	int
ja	int
u	complex
iu	int
v	complex
iv	int
Résultat	void

cmatrixrighttrsm() public static méthode

public static cmatrixrighttrsm ( int m, int n, complex a, int i1, int j1, bool isupper, bool isunit, int optype, complex &x, int i2, int j2 ) : void
m	int
n	int
a	complex
i1	int
j1	int
isupper	bool
isunit	bool
optype	int
x	complex
i2	int
j2	int
Résultat	void

cmatrixsolve() public static méthode

public static cmatrixsolve ( complex a, int n, complex b, int &info, densesolverreport &rep, complex &x ) : void
a	complex
n	int
b	complex
info	int
rep	densesolverreport
x	complex
Résultat	void

cmatrixsolvem() public static méthode

public static cmatrixsolvem ( complex a, int n, complex b, int m, bool rfs, int &info, densesolverreport &rep, complex &x ) : void
a	complex
n	int
b	complex
m	int
rfs	bool
info	int
rep	densesolverreport
x	complex
Résultat	void

cmatrixsyrk() public static méthode

public static cmatrixsyrk ( int n, int k, double alpha, complex a, int ia, int ja, int optypea, double beta, complex &c, int ic, int jc, bool isupper ) : void
n	int
k	int
alpha	double
a	complex
ia	int
ja	int
optypea	int
beta	double
c	complex
ic	int
jc	int
isupper	bool
Résultat	void

cmatrixtranspose() public static méthode

public static cmatrixtranspose ( int m, int n, complex a, int ia, int ja, complex &b, int ib, int jb ) : void
m	int
n	int
a	complex
ia	int
ja	int
b	complex
ib	int
jb	int
Résultat	void

cov2() public static méthode

public static cov2 ( double x, double y ) : double
x	double
y	double
Résultat	double

cov2() public static méthode

public static cov2 ( double x, double y, int n ) : double
x	double
y	double
n	int
Résultat	double

covm() public static méthode

public static covm ( double x, double &c ) : void
x	double
c	double
Résultat	void

covm() public static méthode

public static covm ( double x, int n, int m, double &c ) : void
x	double
n	int
m	int
c	double
Résultat	void

covm2() public static méthode

public static covm2 ( double x, double y, double &c ) : void
x	double
y	double
c	double
Résultat	void

covm2() public static méthode

public static covm2 ( double x, double y, int n, int m1, int m2, double &c ) : void
x	double
y	double
n	int
m1	int
m2	int
c	double
Résultat	void

dsoptimalsplit2() public static méthode

public static dsoptimalsplit2 ( double a, int c, int n, int &info, double &threshold, double &pal, double &pbl, double &par, double &pbr, double &cve ) : void
a	double
c	int
n	int
info	int
threshold	double
pal	double
pbl	double
par	double
pbr	double
cve	double
Résultat	void

dsoptimalsplit2fast() public static méthode

public static dsoptimalsplit2fast ( double &a, int &c, int &tiesbuf, int &cntbuf, double &bufr, int &bufi, int n, int nc, double alpha, int &info, double &threshold, double &rms, double &cvrms ) : void
a	double
c	int
tiesbuf	int
cntbuf	int
bufr	double
bufi	int
n	int
nc	int
alpha	double
info	int
threshold	double
rms	double
cvrms	double
Résultat	void

fftc1d() public static méthode

public static fftc1d ( complex &a ) : void
a	complex
Résultat	void

fftc1d() public static méthode

public static fftc1d ( complex &a, int n ) : void
a	complex
n	int
Résultat	void

fftc1dinv() public static méthode

public static fftc1dinv ( complex &a ) : void
a	complex
Résultat	void

fftc1dinv() public static méthode

public static fftc1dinv ( complex &a, int n ) : void
a	complex
n	int
Résultat	void

fftr1d() public static méthode

public static fftr1d ( double a, complex &f ) : void
a	double
f	complex
Résultat	void

fftr1d() public static méthode

public static fftr1d ( double a, int n, complex &f ) : void
a	double
n	int
f	complex
Résultat	void

fftr1dinv() public static méthode

public static fftr1dinv ( complex f, double &a ) : void
f	complex
a	double
Résultat	void

fftr1dinv() public static méthode

public static fftr1dinv ( complex f, int n, double &a ) : void
f	complex
n	int
a	double
Résultat	void

gammafunction() public static méthode

public static gammafunction ( double x ) : double
x	double
Résultat	double

gqgenerategausshermite() public static méthode

public static gqgenerategausshermite ( int n, int &info, double &x, double &w ) : void
n	int
info	int
x	double
w	double
Résultat	void

gqgenerategaussjacobi() public static méthode

public static gqgenerategaussjacobi ( int n, double alpha, double beta, int &info, double &x, double &w ) : void
n	int
alpha	double
beta	double
info	int
x	double
w	double
Résultat	void

gqgenerategausslaguerre() public static méthode

public static gqgenerategausslaguerre ( int n, double alpha, int &info, double &x, double &w ) : void
n	int
alpha	double
info	int
x	double
w	double
Résultat	void

gqgenerategausslegendre() public static méthode

public static gqgenerategausslegendre ( int n, int &info, double &x, double &w ) : void
n	int
info	int
x	double
w	double
Résultat	void

gqgenerategausslobattorec() public static méthode

public static gqgenerategausslobattorec ( double alpha, double beta, double mu0, double a, double b, int n, int &info, double &x, double &w ) : void
alpha	double
beta	double
mu0	double
a	double
b	double
n	int
info	int
x	double
w	double
Résultat	void

gqgenerategaussradaurec() public static méthode

public static gqgenerategaussradaurec ( double alpha, double beta, double mu0, double a, int n, int &info, double &x, double &w ) : void
alpha	double
beta	double
mu0	double
a	double
n	int
info	int
x	double
w	double
Résultat	void

gqgeneraterec() public static méthode

public static gqgeneraterec ( double alpha, double beta, double mu0, int n, int &info, double &x, double &w ) : void
alpha	double
beta	double
mu0	double
n	int
info	int
x	double
w	double
Résultat	void

hpdmatrixcholeskysolve() public static méthode

public static hpdmatrixcholeskysolve ( complex cha, int n, bool isupper, complex b, int &info, densesolverreport &rep, complex &x ) : void
cha	complex
n	int
isupper	bool
b	complex
info	int
rep	densesolverreport
x	complex
Résultat	void

hpdmatrixcholeskysolvem() public static méthode

public static hpdmatrixcholeskysolvem ( complex cha, int n, bool isupper, complex b, int m, int &info, densesolverreport &rep, complex &x ) : void
cha	complex
n	int
isupper	bool
b	complex
m	int
info	int
rep	densesolverreport
x	complex
Résultat	void

hpdmatrixsolve() public static méthode

public static hpdmatrixsolve ( complex a, int n, bool isupper, complex b, int &info, densesolverreport &rep, complex &x ) : void
a	complex
n	int
isupper	bool
b	complex
info	int
rep	densesolverreport
x	complex
Résultat	void

hpdmatrixsolvem() public static méthode

public static hpdmatrixsolvem ( complex a, int n, bool isupper, complex b, int m, int &info, densesolverreport &rep, complex &x ) : void
a	complex
n	int
isupper	bool
b	complex
m	int
info	int
rep	densesolverreport
x	complex
Résultat	void

hqrndcontinuous() public static méthode

public static hqrndcontinuous ( hqrndstate state, double x, int n ) : double
state	hqrndstate
x	double
n	int
Résultat	double

hqrnddiscrete() public static méthode

public static hqrnddiscrete ( hqrndstate state, double x, int n ) : double
state	hqrndstate
x	double
n	int
Résultat	double

hqrndexponential() public static méthode

public static hqrndexponential ( hqrndstate state, double lambdav ) : double
state	hqrndstate
lambdav	double
Résultat	double

hqrndnormal() public static méthode

public static hqrndnormal ( hqrndstate state ) : double
state	hqrndstate
Résultat	double

hqrndnormal2() public static méthode

public static hqrndnormal2 ( hqrndstate state, double &x1, double &x2 ) : void
state	hqrndstate
x1	double
x2	double
Résultat	void

hqrndrandomize() public static méthode

public static hqrndrandomize ( hqrndstate &state ) : void
state	hqrndstate
Résultat	void

hqrndseed() public static méthode

public static hqrndseed ( int s1, int s2, hqrndstate &state ) : void
s1	int
s2	int
state	hqrndstate
Résultat	void

hqrnduniformi() public static méthode

public static hqrnduniformi ( hqrndstate state, int n ) : int
state	hqrndstate
n	int
Résultat	int

hqrnduniformr() public static méthode

public static hqrnduniformr ( hqrndstate state ) : double
state	hqrndstate
Résultat	double

hqrndunit2() public static méthode

public static hqrndunit2 ( hqrndstate state, double &x, double &y ) : void
state	hqrndstate
x	double
y	double
Résultat	void

idwbuildmodifiedshepard() public static méthode

public static idwbuildmodifiedshepard ( double xy, int n, int nx, int d, int nq, int nw, idwinterpolant &z ) : void
xy	double
n	int
nx	int
d	int
nq	int
nw	int
z	idwinterpolant
Résultat	void

idwbuildmodifiedshepardr() public static méthode

public static idwbuildmodifiedshepardr ( double xy, int n, int nx, double r, idwinterpolant &z ) : void
xy	double
n	int
nx	int
r	double
z	idwinterpolant
Résultat	void

idwbuildnoisy() public static méthode

public static idwbuildnoisy ( double xy, int n, int nx, int d, int nq, int nw, idwinterpolant &z ) : void
xy	double
n	int
nx	int
d	int
nq	int
nw	int
z	idwinterpolant
Résultat	void

idwcalc() public static méthode

public static idwcalc ( idwinterpolant z, double x ) : double
z	idwinterpolant
x	double
Résultat	double

lngamma() public static méthode

public static lngamma ( double x, double &sgngam ) : double
x	double
sgngam	double
Résultat	double

mincgcreate() public static méthode

public static mincgcreate ( double x, mincgstate &state ) : void
x	double
state	mincgstate
Résultat	void

mincgcreate() public static méthode

public static mincgcreate ( int n, double x, mincgstate &state ) : void
n	int
x	double
state	mincgstate
Résultat	void

mincgcreatef() public static méthode

public static mincgcreatef ( double x, double diffstep, mincgstate &state ) : void
x	double
diffstep	double
state	mincgstate
Résultat	void

mincgcreatef() public static méthode

public static mincgcreatef ( int n, double x, double diffstep, mincgstate &state ) : void
n	int
x	double
diffstep	double
state	mincgstate
Résultat	void

mincgiteration() public static méthode

public static mincgiteration ( mincgstate state ) : bool
state	mincgstate
Résultat	bool

mincgoptimize() public static méthode

public static mincgoptimize ( mincgstate state, ndimensional_func func, ndimensional_rep rep, object obj ) : void
state	mincgstate
func	ndimensional_func
rep	ndimensional_rep
obj	object
Résultat	void

mincgoptimize() public static méthode

public static mincgoptimize ( mincgstate state, ndimensional_grad grad, ndimensional_rep rep, object obj ) : void
state	mincgstate
grad	ndimensional_grad
rep	ndimensional_rep
obj	object
Résultat	void

mincgrestartfrom() public static méthode

public static mincgrestartfrom ( mincgstate state, double x ) : void
state	mincgstate
x	double
Résultat	void

mincgresults() public static méthode

public static mincgresults ( mincgstate state, double &x, mincgreport &rep ) : void
state	mincgstate
x	double
rep	mincgreport
Résultat	void

mincgresultsbuf() public static méthode

public static mincgresultsbuf ( mincgstate state, double &x, mincgreport rep ) : void
state	mincgstate
x	double
rep	mincgreport
Résultat	void

mincgsetcgtype() public static méthode

public static mincgsetcgtype ( mincgstate state, int cgtype ) : void
state	mincgstate
cgtype	int
Résultat	void

mincgsetcond() public static méthode

public static mincgsetcond ( mincgstate state, double epsg, double epsf, double epsx, int maxits ) : void
state	mincgstate
epsg	double
epsf	double
epsx	double
maxits	int
Résultat	void

mincgsetgradientcheck() public static méthode

public static mincgsetgradientcheck ( mincgstate state, double teststep ) : void
state	mincgstate
teststep	double
Résultat	void

mincgsetprecdefault() public static méthode

public static mincgsetprecdefault ( mincgstate state ) : void
state	mincgstate
Résultat	void

mincgsetprecdiag() public static méthode

public static mincgsetprecdiag ( mincgstate state, double d ) : void
state	mincgstate
d	double
Résultat	void

mincgsetprecscale() public static méthode

public static mincgsetprecscale ( mincgstate state ) : void
state	mincgstate
Résultat	void

mincgsetscale() public static méthode

public static mincgsetscale ( mincgstate state, double s ) : void
state	mincgstate
s	double
Résultat	void

mincgsetstpmax() public static méthode

public static mincgsetstpmax ( mincgstate state, double stpmax ) : void
state	mincgstate
stpmax	double
Résultat	void

mincgsetxrep() public static méthode

public static mincgsetxrep ( mincgstate state, bool needxrep ) : void
state	mincgstate
needxrep	bool
Résultat	void

mincgsuggeststep() public static méthode

public static mincgsuggeststep ( mincgstate state, double stp ) : void
state	mincgstate
stp	double
Résultat	void

odesolveriteration() public static méthode

public static odesolveriteration ( odesolverstate state ) : bool
state	odesolverstate
Résultat	bool

odesolverresults() public static méthode

public static odesolverresults ( odesolverstate state, int &m, double &xtbl, double &ytbl, odesolverreport &rep ) : void
state	odesolverstate
m	int
xtbl	double
ytbl	double
rep	odesolverreport
Résultat	void

odesolverrkck() public static méthode

public static odesolverrkck ( double y, double x, double eps, double h, odesolverstate &state ) : void
y	double
x	double
eps	double
h	double
state	odesolverstate
Résultat	void

odesolverrkck() public static méthode

public static odesolverrkck ( double y, int n, double x, int m, double eps, double h, odesolverstate &state ) : void
y	double
n	int
x	double
m	int
eps	double
h	double
state	odesolverstate
Résultat	void

odesolversolve() public static méthode

public static odesolversolve ( odesolverstate state, ndimensional_ode_rp diff, object obj ) : void
state	odesolverstate
diff	ndimensional_ode_rp
obj	object
Résultat	void

pearsoncorr2() public static méthode

public static pearsoncorr2 ( double x, double y ) : double
x	double
y	double
Résultat	double

pearsoncorr2() public static méthode

public static pearsoncorr2 ( double x, double y, int n ) : double
x	double
y	double
n	int
Résultat	double

pearsoncorrelation() public static méthode

public static pearsoncorrelation ( double x, double y, int n ) : double
x	double
y	double
n	int
Résultat	double

pearsoncorrm() public static méthode

public static pearsoncorrm ( double x, double &c ) : void
x	double
c	double
Résultat	void

pearsoncorrm() public static méthode

public static pearsoncorrm ( double x, int n, int m, double &c ) : void
x	double
n	int
m	int
c	double
Résultat	void

pearsoncorrm2() public static méthode

public static pearsoncorrm2 ( double x, double y, double &c ) : void
x	double
y	double
c	double
Résultat	void

pearsoncorrm2() public static méthode

public static pearsoncorrm2 ( double x, double y, int n, int m1, int m2, double &c ) : void
x	double
y	double
n	int
m1	int
m2	int
c	double
Résultat	void

rankdata() public static méthode

public static rankdata ( double &xy ) : void
xy	double
Résultat	void

rankdata() public static méthode

public static rankdata ( double &xy, int npoints, int nfeatures ) : void
xy	double
npoints	int
nfeatures	int
Résultat	void

rankdatacentered() public static méthode

public static rankdatacentered ( double &xy ) : void
xy	double
Résultat	void

rankdatacentered() public static méthode

public static rankdatacentered ( double &xy, int npoints, int nfeatures ) : void
xy	double
npoints	int
nfeatures	int
Résultat	void

rmatrixcopy() public static méthode

public static rmatrixcopy ( int m, int n, double a, int ia, int ja, double &b, int ib, int jb ) : void
m	int
n	int
a	double
ia	int
ja	int
b	double
ib	int
jb	int
Résultat	void

rmatrixenforcesymmetricity() public static méthode

public static rmatrixenforcesymmetricity ( double &a, int n, bool isupper ) : void
a	double
n	int
isupper	bool
Résultat	void

rmatrixgemm() public static méthode

public static rmatrixgemm ( int m, int n, int k, double alpha, double a, int ia, int ja, int optypea, double b, int ib, int jb, int optypeb, double beta, double &c, int ic, int jc ) : void
m	int
n	int
k	int
alpha	double
a	double
ia	int
ja	int
optypea	int
b	double
ib	int
jb	int
optypeb	int
beta	double
c	double
ic	int
jc	int
Résultat	void

rmatrixlefttrsm() public static méthode

public static rmatrixlefttrsm ( int m, int n, double a, int i1, int j1, bool isupper, bool isunit, int optype, double &x, int i2, int j2 ) : void
m	int
n	int
a	double
i1	int
j1	int
isupper	bool
isunit	bool
optype	int
x	double
i2	int
j2	int
Résultat	void

rmatrixlusolve() public static méthode

public static rmatrixlusolve ( double lua, int p, int n, double b, int &info, densesolverreport &rep, double &x ) : void
lua	double
p	int
n	int
b	double
info	int
rep	densesolverreport
x	double
Résultat	void

rmatrixlusolvem() public static méthode

public static rmatrixlusolvem ( double lua, int p, int n, double b, int m, int &info, densesolverreport &rep, double &x ) : void
lua	double
p	int
n	int
b	double
m	int
info	int
rep	densesolverreport
x	double
Résultat	void

rmatrixmixedsolve() public static méthode

public static rmatrixmixedsolve ( double a, double lua, int p, int n, double b, int &info, densesolverreport &rep, double &x ) : void
a	double
lua	double
p	int
n	int
b	double
info	int
rep	densesolverreport
x	double
Résultat	void

rmatrixmixedsolvem() public static méthode

public static rmatrixmixedsolvem ( double a, double lua, int p, int n, double b, int m, int &info, densesolverreport &rep, double &x ) : void
a	double
lua	double
p	int
n	int
b	double
m	int
info	int
rep	densesolverreport
x	double
Résultat	void

rmatrixmv() public static méthode

public static rmatrixmv ( int m, int n, double a, int ia, int ja, int opa, double x, int ix, double &y, int iy ) : void
m	int
n	int
a	double
ia	int
ja	int
opa	int
x	double
ix	int
y	double
iy	int
Résultat	void

rmatrixrank1() public static méthode

public static rmatrixrank1 ( int m, int n, double &a, int ia, int ja, double &u, int iu, double &v, int iv ) : void
m	int
n	int
a	double
ia	int
ja	int
u	double
iu	int
v	double
iv	int
Résultat	void

rmatrixrighttrsm() public static méthode

public static rmatrixrighttrsm ( int m, int n, double a, int i1, int j1, bool isupper, bool isunit, int optype, double &x, int i2, int j2 ) : void
m	int
n	int
a	double
i1	int
j1	int
isupper	bool
isunit	bool
optype	int
x	double
i2	int
j2	int
Résultat	void

rmatrixsolve() public static méthode

public static rmatrixsolve ( double a, int n, double b, int &info, densesolverreport &rep, double &x ) : void
a	double
n	int
b	double
info	int
rep	densesolverreport
x	double
Résultat	void

rmatrixsolvels() public static méthode

public static rmatrixsolvels ( double a, int nrows, int ncols, double b, double threshold, int &info, densesolverlsreport &rep, double &x ) : void
a	double
nrows	int
ncols	int
b	double
threshold	double
info	int
rep	densesolverlsreport
x	double
Résultat	void

rmatrixsolvem() public static méthode

public static rmatrixsolvem ( double a, int n, double b, int m, bool rfs, int &info, densesolverreport &rep, double &x ) : void
a	double
n	int
b	double
m	int
rfs	bool
info	int
rep	densesolverreport
x	double
Résultat	void

rmatrixsyrk() public static méthode

public static rmatrixsyrk ( int n, int k, double alpha, double a, int ia, int ja, int optypea, double beta, double &c, int ic, int jc, bool isupper ) : void
n	int
k	int
alpha	double
a	double
ia	int
ja	int
optypea	int
beta	double
c	double
ic	int
jc	int
isupper	bool
Résultat	void

rmatrixtranspose() public static méthode

public static rmatrixtranspose ( int m, int n, double a, int ia, int ja, double &b, int ib, int jb ) : void
m	int
n	int
a	double
ia	int
ja	int
b	double
ib	int
jb	int
Résultat	void

sampleadev() public static méthode

public static sampleadev ( double x, double &adev ) : void
x	double
adev	double
Résultat	void

sampleadev() public static méthode

public static sampleadev ( double x, int n, double &adev ) : void
x	double
n	int
adev	double
Résultat	void

samplekurtosis() public static méthode

public static samplekurtosis ( double x ) : double
x	double
Résultat	double

samplekurtosis() public static méthode

public static samplekurtosis ( double x, int n ) : double
x	double
n	int
Résultat	double

samplemean() public static méthode

public static samplemean ( double x ) : double
x	double
Résultat	double

samplemean() public static méthode

public static samplemean ( double x, int n ) : double
x	double
n	int
Résultat	double

samplemedian() public static méthode

public static samplemedian ( double x, double &median ) : void
x	double
median	double
Résultat	void

samplemedian() public static méthode

public static samplemedian ( double x, int n, double &median ) : void
x	double
n	int
median	double
Résultat	void

samplemoments() public static méthode

public static samplemoments ( double x, double &mean, double &variance, double &skewness, double &kurtosis ) : void
x	double
mean	double
variance	double
skewness	double
kurtosis	double
Résultat	void

samplemoments() public static méthode

public static samplemoments ( double x, int n, double &mean, double &variance, double &skewness, double &kurtosis ) : void
x	double
n	int
mean	double
variance	double
skewness	double
kurtosis	double
Résultat	void

samplepercentile() public static méthode

public static samplepercentile ( double x, double p, double &v ) : void
x	double
p	double
v	double
Résultat	void

samplepercentile() public static méthode

public static samplepercentile ( double x, int n, double p, double &v ) : void
x	double
n	int
p	double
v	double
Résultat	void

sampleskewness() public static méthode

public static sampleskewness ( double x ) : double
x	double
Résultat	double

sampleskewness() public static méthode

public static sampleskewness ( double x, int n ) : double
x	double
n	int
Résultat	double

samplevariance() public static méthode

public static samplevariance ( double x ) : double
x	double
Résultat	double

samplevariance() public static méthode

public static samplevariance ( double x, int n ) : double
x	double
n	int
Résultat	double

smp_cmatrixgemm() public static méthode

public static smp_cmatrixgemm ( int m, int n, int k, complex alpha, complex a, int ia, int ja, int optypea, complex b, int ib, int jb, int optypeb, complex beta, complex &c, int ic, int jc ) : void
m	int
n	int
k	int
alpha	complex
a	complex
ia	int
ja	int
optypea	int
b	complex
ib	int
jb	int
optypeb	int
beta	complex
c	complex
ic	int
jc	int
Résultat	void

smp_cmatrixlefttrsm() public static méthode

public static smp_cmatrixlefttrsm ( int m, int n, complex a, int i1, int j1, bool isupper, bool isunit, int optype, complex &x, int i2, int j2 ) : void
m	int
n	int
a	complex
i1	int
j1	int
isupper	bool
isunit	bool
optype	int
x	complex
i2	int
j2	int
Résultat	void

smp_cmatrixrighttrsm() public static méthode

public static smp_cmatrixrighttrsm ( int m, int n, complex a, int i1, int j1, bool isupper, bool isunit, int optype, complex &x, int i2, int j2 ) : void
m	int
n	int
a	complex
i1	int
j1	int
isupper	bool
isunit	bool
optype	int
x	complex
i2	int
j2	int
Résultat	void

smp_cmatrixsyrk() public static méthode

public static smp_cmatrixsyrk ( int n, int k, double alpha, complex a, int ia, int ja, int optypea, double beta, complex &c, int ic, int jc, bool isupper ) : void
n	int
k	int
alpha	double
a	complex
ia	int
ja	int
optypea	int
beta	double
c	complex
ic	int
jc	int
isupper	bool
Résultat	void

smp_covm() public static méthode

public static smp_covm ( double x, double &c ) : void
x	double
c	double
Résultat	void

smp_covm() public static méthode

public static smp_covm ( double x, int n, int m, double &c ) : void
x	double
n	int
m	int
c	double
Résultat	void

smp_covm2() public static méthode

public static smp_covm2 ( double x, double y, double &c ) : void
x	double
y	double
c	double
Résultat	void

smp_covm2() public static méthode

public static smp_covm2 ( double x, double y, int n, int m1, int m2, double &c ) : void
x	double
y	double
n	int
m1	int
m2	int
c	double
Résultat	void

smp_pearsoncorrm() public static méthode

public static smp_pearsoncorrm ( double x, double &c ) : void
x	double
c	double
Résultat	void

smp_pearsoncorrm() public static méthode

public static smp_pearsoncorrm ( double x, int n, int m, double &c ) : void
x	double
n	int
m	int
c	double
Résultat	void

smp_pearsoncorrm2() public static méthode

public static smp_pearsoncorrm2 ( double x, double y, double &c ) : void
x	double
y	double
c	double
Résultat	void

smp_pearsoncorrm2() public static méthode

public static smp_pearsoncorrm2 ( double x, double y, int n, int m1, int m2, double &c ) : void
x	double
y	double
n	int
m1	int
m2	int
c	double
Résultat	void

smp_rankdata() public static méthode

public static smp_rankdata ( double &xy ) : void
xy	double
Résultat	void

smp_rankdata() public static méthode

public static smp_rankdata ( double &xy, int npoints, int nfeatures ) : void
xy	double
npoints	int
nfeatures	int
Résultat	void

smp_rankdatacentered() public static méthode

public static smp_rankdatacentered ( double &xy ) : void
xy	double
Résultat	void

smp_rankdatacentered() public static méthode

public static smp_rankdatacentered ( double &xy, int npoints, int nfeatures ) : void
xy	double
npoints	int
nfeatures	int
Résultat	void

smp_rmatrixgemm() public static méthode

public static smp_rmatrixgemm ( int m, int n, int k, double alpha, double a, int ia, int ja, int optypea, double b, int ib, int jb, int optypeb, double beta, double &c, int ic, int jc ) : void
m	int
n	int
k	int
alpha	double
a	double
ia	int
ja	int
optypea	int
b	double
ib	int
jb	int
optypeb	int
beta	double
c	double
ic	int
jc	int
Résultat	void

smp_rmatrixlefttrsm() public static méthode

public static smp_rmatrixlefttrsm ( int m, int n, double a, int i1, int j1, bool isupper, bool isunit, int optype, double &x, int i2, int j2 ) : void
m	int
n	int
a	double
i1	int
j1	int
isupper	bool
isunit	bool
optype	int
x	double
i2	int
j2	int
Résultat	void

smp_rmatrixrighttrsm() public static méthode

public static smp_rmatrixrighttrsm ( int m, int n, double a, int i1, int j1, bool isupper, bool isunit, int optype, double &x, int i2, int j2 ) : void
m	int
n	int
a	double
i1	int
j1	int
isupper	bool
isunit	bool
optype	int
x	double
i2	int
j2	int
Résultat	void

smp_rmatrixsyrk() public static méthode

public static smp_rmatrixsyrk ( int n, int k, double alpha, double a, int ia, int ja, int optypea, double beta, double &c, int ic, int jc, bool isupper ) : void
n	int
k	int
alpha	double
a	double
ia	int
ja	int
optypea	int
beta	double
c	double
ic	int
jc	int
isupper	bool
Résultat	void

smp_spearmancorrm() public static méthode

public static smp_spearmancorrm ( double x, double &c ) : void
x	double
c	double
Résultat	void

smp_spearmancorrm() public static méthode

public static smp_spearmancorrm ( double x, int n, int m, double &c ) : void
x	double
n	int
m	int
c	double
Résultat	void

smp_spearmancorrm2() public static méthode

public static smp_spearmancorrm2 ( double x, double y, double &c ) : void
x	double
y	double
c	double
Résultat	void

smp_spearmancorrm2() public static méthode

public static smp_spearmancorrm2 ( double x, double y, int n, int m1, int m2, double &c ) : void
x	double
y	double
n	int
m1	int
m2	int
c	double
Résultat	void

spdmatrixcholeskysolve() public static méthode

public static spdmatrixcholeskysolve ( double cha, int n, bool isupper, double b, int &info, densesolverreport &rep, double &x ) : void
cha	double
n	int
isupper	bool
b	double
info	int
rep	densesolverreport
x	double
Résultat	void

spdmatrixcholeskysolvem() public static méthode

public static spdmatrixcholeskysolvem ( double cha, int n, bool isupper, double b, int m, int &info, densesolverreport &rep, double &x ) : void
cha	double
n	int
isupper	bool
b	double
m	int
info	int
rep	densesolverreport
x	double
Résultat	void

spdmatrixsolve() public static méthode

public static spdmatrixsolve ( double a, int n, bool isupper, double b, int &info, densesolverreport &rep, double &x ) : void
a	double
n	int
isupper	bool
b	double
info	int
rep	densesolverreport
x	double
Résultat	void

spdmatrixsolvem() public static méthode

public static spdmatrixsolvem ( double a, int n, bool isupper, double b, int m, int &info, densesolverreport &rep, double &x ) : void
a	double
n	int
isupper	bool
b	double
m	int
info	int
rep	densesolverreport
x	double
Résultat	void

spearmancorr2() public static méthode

public static spearmancorr2 ( double x, double y ) : double
x	double
y	double
Résultat	double

spearmancorr2() public static méthode

public static spearmancorr2 ( double x, double y, int n ) : double
x	double
y	double
n	int
Résultat	double

spearmancorrm() public static méthode

public static spearmancorrm ( double x, double &c ) : void
x	double
c	double
Résultat	void

spearmancorrm() public static méthode

public static spearmancorrm ( double x, int n, int m, double &c ) : void
x	double
n	int
m	int
c	double
Résultat	void

spearmancorrm2() public static méthode

public static spearmancorrm2 ( double x, double y, double &c ) : void
x	double
y	double
c	double
Résultat	void

spearmancorrm2() public static méthode

public static spearmancorrm2 ( double x, double y, int n, int m1, int m2, double &c ) : void
x	double
y	double
n	int
m1	int
m2	int
c	double
Résultat	void

spearmanrankcorrelation() public static méthode

public static spearmanrankcorrelation ( double x, double y, int n ) : double
x	double
y	double
n	int
Résultat	double