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/dports/math/cado-nfs/cado-nfs-f4284e2391121b2bfb97bc4880b6273c7250dc2f/polyselect/
H A Dsopt.c109 double lognorm, alpha, alpha_proj, exp_E; in main() local
114 lognorm = L2_lognorm (poly->pols[ALG_SIDE], poly->skew); in main()
117 exp_E = lognorm in main()
123 ave_raw_lognorm += lognorm; in main()
124 min_raw_lognorm = (lognorm < min_raw_lognorm) ? lognorm : min_raw_lognorm; in main()
125 max_raw_lognorm = (lognorm > max_raw_lognorm) ? lognorm : max_raw_lognorm; in main()
139 lognorm = L2_lognorm (poly->pols[ALG_SIDE], poly->skew); in main()
142 exp_E = lognorm in main()
149 ave_sopt_lognorm += lognorm; in main()
150 min_sopt_lognorm = (lognorm < min_sopt_lognorm) ? lognorm : min_sopt_lognorm; in main()
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H A Dropt_str.c41 double lognorm, exp_E = DBL_MAX, min_exp_E = DBL_MAX; in rotate_bounds_V_mpz() local
72 exp_E = lognorm + expected_rotation_gain (F, G); in rotate_bounds_V_mpz()
80 if (lognorm > bound->bound_lognorm) break; in rotate_bounds_V_mpz()
95 exp_E = lognorm + expected_rotation_gain (F, G); in rotate_bounds_V_mpz()
103 if (lognorm > bound->bound_lognorm) break; in rotate_bounds_V_mpz()
145 exp_E = lognorm + expected_rotation_gain (F, G); in rotate_bounds_U_lu()
153 if (lognorm > bound->bound_lognorm) break; in rotate_bounds_U_lu()
168 exp_E = lognorm + expected_rotation_gain (F, G); in rotate_bounds_U_lu()
176 if (lognorm > bound->bound_lognorm) break; in rotate_bounds_U_lu()
215 if (lognorm > bound->bound_lognorm) in rotate_bounds_W_lu()
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H A Drotate_all.c282 double lognorm, alpha, E0, E, best_E; in rotate_bounds() local
301 lognorm = L2_skew_lognorm (f, SKEWNESS_DEFAULT_PREC); in rotate_bounds()
303 E = lognorm + alpha; in rotate_bounds()
320 lognorm = L2_skew_lognorm (f, SKEWNESS_DEFAULT_PREC); in rotate_bounds()
322 E = lognorm + alpha; in rotate_bounds()
365 double *A, alpha, lognorm, best_alpha = DBL_MAX, best_lognorm = DBL_MAX; in rotate() local
486 lognorm = L2_skew_lognorm (f, SKEWNESS_DEFAULT_PREC); in rotate()
488 if (lognorm + alpha < best_lognorm + best_alpha) { in rotate()
489 best_lognorm = lognorm; in rotate()
497 double newE = lognorm + alpha; in rotate()
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/snowpac/include/
H A DNoiseDetection.hpp29 std::vector<double> lognorm; member in NoiseDetection
55 lognorm.resize( nb_surrogate_models); in initialize_noise_detection()
93 lognorm[ i ] = norm( (*surrogate_models)[i].hessian() ) / ((*delta)*(*delta)); in detect_noise()
94 if ( fabs(lognorm [ i ]) < 1e-16 ) { in detect_noise()
120 norms_of_hessians[i].push_back( lognorm[i] ); in detect_noise()
121 lognorm[i] = log( lognorm[i] ); in detect_noise()
122 sum_norms_tr_radii[i] += lognorm[i] * logdelta; in detect_noise()
123 sum_norms[i] += lognorm[i]; in detect_noise()
/dports/math/R-cran-gss/gss/man/
H A Dfamily.Rd58 \alias{mkdata.lognorm}
59 \alias{dev.resid.lognorm}
60 \alias{dev0.resid.lognorm}
61 \alias{dev.null.lognorm}
62 \alias{cv.lognorm}
63 \alias{y0.lognorm}
64 \alias{proj0.lognorm}
65 \alias{kl.lognorm}
66 \alias{cfit.lognorm}
150 y0.lognorm(y, eta0, nu)
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/dports/devel/liblognorm/liblognorm-2.0.6/src/
H A DMakefile.am29 lognorm.c \
55 lognorm.h \
70 include_HEADERS = liblognorm.h samp.h lognorm.h pdag.h annot.h enc.h parser.h lognorm-features.h
H A DMakefile.in107 CONFIG_CLEAN_FILES = lognorm-features.h
144 liblognorm_la-samp.lo liblognorm_la-lognorm.lo \
232 $(srcdir)/lognorm-features.h.in $(top_srcdir)/depcomp
387 liblognorm_la_SOURCES = liblognorm.c pdag.c annot.c samp.c lognorm.c \
398 EXTRA_DIST = internal.h liblognorm.h lognorm.h pdag.h annot.h samp.h \
401 include_HEADERS = liblognorm.h samp.h lognorm.h pdag.h annot.h enc.h parser.h lognorm-features.h
435 lognorm-features.h: $(top_builddir)/config.status $(srcdir)/lognorm-features.h.in
553 @AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/liblognorm_la-lognorm.Plo@am__quote@
613 liblognorm_la-lognorm.lo: lognorm.c
614 …orm_la-lognorm.lo -MD -MP -MF $(DEPDIR)/liblognorm_la-lognorm.Tpo -c -o liblognorm_la-lognorm.lo `…
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/sandbox/distributions/examples/
H A Dex_fitfr.py27 x = stats.lognorm.rvs(2, loc=0, scale=2, size=200)
28 print(stats.lognorm.fit_fr(x, frozen=[np.nan, 0., np.nan]))
H A Dex_extras.py91 print(stats.lognorm.cdf(1,1))
93 print(stats.lognorm.stats(1))
/dports/devel/liblognorm/liblognorm-2.0.6/doc/
H A Dcontacts.rst8 mailing list lognorm@lists.adiscon.com.
10 To subscribe: http://lists.adiscon.net/mailman/listinfo/lognorm
/dports/math/R-cran-gss/gss/R/
H A Dproject.gssanova.R38 lognorm=y0.lognorm(y,eta,nu),
49 lognorm=cfit.lognorm(y,wt,offset,nu),
60 lognorm=kl.lognorm(eta,cfit,wt,nu,y0),
173 lognorm=kl.lognorm(eta1,cfit,wt,nu,y0),
197 lognorm=proj0.lognorm(y0,eta,wt,offset,nu),
216 lognorm=proj0.lognorm(y0,eta.new,wt,offset,nu),
251 lognorm=proj0.lognorm(y0,eta,wt,offset,nu),
310 lognorm=proj0.lognorm(y0,eta,wt,offset,nu),
339 lognorm=proj0.lognorm(y0,eta,wt,offset,nu),
H A Dfitted.R46 lognorm=mkdata.lognorm(y,object$eta,wt,offset,list(object$nu,FALSE)),
58 lognorm=dev.resid.lognorm(y,object$eta,wt,object$nu),
/dports/finance/py-quantecon/quantecon-0.5.2/quantecon/tests/
H A Dtest_lae.py9 from scipy.stats import lognorm
17 phi = lognorm(a_sigma)
/dports/math/cado-nfs/cado-nfs-f4284e2391121b2bfb97bc4880b6273c7250dc2f/sieve/
H A Dlas-duplicate.cpp165 subtract_fb_log(const unsigned char lognorm, in subtract_fb_log() argument
172 unsigned char new_lognorm = lognorm; in subtract_fb_log()
266 const uint8_t lognorm = L.lognorm(i,j); in sq_finds_relation() local
268 remaining_lognorm[side] = subtract_fb_log(lognorm, L.scale, in sq_finds_relation()
/dports/math/cado-nfs/cado-nfs-f4284e2391121b2bfb97bc4880b6273c7250dc2f/scripts/
H A Dcheck_dup.py51 lognorm = tuple(ij_lognorm[2:4])
53 if lognorm != new_lognorm:
55 % (new_lognorm + lognorm))
/dports/devel/liblognorm/liblognorm-2.0.6/
H A Dconfigure.ac8 AC_CONFIG_SRCDIR([src/lognorm.c])
165 [AS_HELP_STRING([--enable-tools],[lognorm toolset enabled @<:@default=yes@:>@])],
176 lognorm.pc \
180 src/lognorm-features.h \
H A DMakefile.am9 pkgconfig_DATA = lognorm.pc
/dports/math/R-cran-Zelig/Zelig/man/
H A DZelig-lognorm-class.Rd2 % Please edit documentation in R/model-lognorm.R
4 \name{Zelig-lognorm-class}
5 \alias{Zelig-lognorm-class}
89 z.out <- zelig(Surv(duration, ciep12) ~ fract + numst2, model ="lognorm", data = coalition)
/dports/math/R-cran-gss/gss/
H A DINDEX190 mkdata.lognorm Making pseudo data for log normal regression
191 dev.resid.lognorm Deviance residuals for log normal regression
192 dev0.resid.lognorm Pseudo deviance residuals for log normal regression
193 dev.null.lognorm Null model deviance for log normal regression
194 cv.lognorm CV score for log normal regression
195 y0.lognorm Preparing for KL projection of log normal fit
196 proj0.lognorm Making pseudo data for projection of log normal fit
197 kl.lognorm Computing KL distance between log normal fits
198 cfit.lognorm Computing constant log normal fit
/dports/science/py-scipy/scipy-1.7.1/doc/source/tutorial/stats/
H A Dcontinuous_lognorm.rst2 .. _continuous-lognorm:
35 Implementation: `scipy.stats.lognorm`
/dports/math/cado-nfs/cado-nfs-f4284e2391121b2bfb97bc4880b6273c7250dc2f/utils/
H A Dcado_poly.c378 cado_poly_fprintf_info (FILE *fp, double lognorm, double exp_E, double alpha, in cado_poly_fprintf_info() argument
387 lognorm, (exp_E == 0) ? "E" : "exp_E", in cado_poly_fprintf_info()
388 (exp_E == 0) ? lognorm + alpha : exp_E, alpha, alpha_proj, in cado_poly_fprintf_info()
/dports/math/cado-nfs/cado-nfs-f4284e2391121b2bfb97bc4880b6273c7250dc2f/tests/sieve/
H A Dc120.poly12 # lognorm 36.62
/dports/math/cado-nfs/cado-nfs-f4284e2391121b2bfb97bc4880b6273c7250dc2f/tests/misc/
H A Dc60.poly11 # lognorm 20.1
/dports/math/cado-nfs/cado-nfs-f4284e2391121b2bfb97bc4880b6273c7250dc2f/parameters/polynomials/
H A Drsa220.poly13 # lognorm: 62.58, alpha: -9.12 (proj: -3.05), E: 53.47, nr: 6
H A Dc150.poly12 # lognorm 45.32

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