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/dports/biology/p5-Bio-Graphics/Bio-Graphics-2.40/scripts/
H A Dcoverage_to_topoview.pl70 close COV;
126 my $offset = tell(COV);
137 $offset = tell(COV);
155 $offset = tell(COV);
160 $offset = tell(COV);
175 $offset = tell(COV);
196 print COV join("\t",$start,$signal), "\n";
208 print COV "# offsets for $key\n";
209 my $offset = tell(COV);
215 print COV $str . "\n";
[all …]
/dports/math/cmlib/cmlib-3.0_8/src/cluster/
H A Dremove.f1 SUBROUTINE REMOVE(DMCOV, N, COV, I, S) argument
40 DIMENSION COV(DMCOV,*), S(*)
43 IF (COV(I,I).LT.TH.OR.S(I).EQ.0.) RETURN
48 * COV(J,K)=COV(J,K)-COV(I,J)*COV(I,K)/COV(I,I)
H A Dtwo.f1 SUBROUTINE TWO(MM, M, N, A, CLAB, RLAB, TITLE, DMCOV, COV, argument
104 DIMENSION COV(DMCOV,*),AVE(*),A(MM,*)
128 COV(J,K)=0.
130 50 COV(J,K)=COV(J,K)+(A(I,J)-AVE(J))*(A(I,K)-AVE(K))
131 COV(J,K)=COV(J,K)/M
132 60 COV(K,J)=COV(J,K)
H A Dwcov.f1 SUBROUTINE WCOV(MM, M, N, A, CLAB, RLAB, TITLE, NC, DMCOV, COV, argument
93 DIMENSION A(MM,*), COV(DMCOV,*), NC(*), WORK(*)
101 10 COV(I,J)=0.
130 70 COV(J,JJ)=COV(J,JJ)+(A(I,J)-WORK(J))*(A(I,JJ)
140 IF(Q.GT.0.) COV(J,JJ)=COV(J,JJ)/Q
141 100 COV(JJ,J)=COV(J,JJ)
H A Dfirst.f1 SUBROUTINE FIRST(DMCOV, N, COV, X, Y) argument
46 DIMENSION COV(DMCOV,*), X(*), Y(*)
51 IF(COV(I,I).LE.TH) THEN
53 COV(I,J) = 0.
54 10 COV(J,I) = 0.
56 IF (X(I).NE.0.) X(I)=SQRT(COV(I,I))
70 60 IF (X(J).NE.0.) Y(I)=Y(I)+COV(I,J)*X(J)
H A Dfind.f1 SUBROUTINE FIND(DMCOV, N, COV, Y, X, XY) argument
44 DIMENSION COV(DMCOV,*), X(*), Y(*), XY(*)
52 20 CALL FIRST(DMCOV,N,COV,X,XY)
69 40 XX=XX+X(I)*COV(I,J)
70 XX=XX*XX/(SS*SS*COV(J,J))
86 CALL REMOVE(DMCOV,N,COV,IMIN,X)
H A Dsparse.f1 SUBROUTINE SPARSE(MM, M, N, A, CLAB, RLAB, TITLE, KK, DMCOV, COV, argument
107 DIMENSION COV(DMCOV,*), WORK1(DMWRK1,*), WORK2(DMWRK2,*), A(MM,*)
114 CALL TWO(MM,M,N,A,CLAB,RLAB,TITLE,DMCOV,COV,CWORK(1),CTITLE,
121 CALL OUT(DMCOV,N,N,COV,CWORK(1),CWORK(1),CTITLE,OUNIT)
124 10 SS=SS+COV(J,J)
129 20 WORK2(I,J)=COV(I,J)
130 CALL FIND(DMCOV,N,COV,WORK1(1,KR),WORK2(1,N+1),WORK2(1,N+2))
136 30 COV(I,J)=WORK2(I,J)-WORK1(I,KR)*WORK1(J,KR)
/dports/math/gsl/gsl-2.7/doc/examples/
H A Dfitting2.c57 #define COV(i,j) (gsl_matrix_get(cov,(i),(j))) in main() macro
65 COV(0,0), COV(0,1), COV(0,2)); in main()
67 COV(1,0), COV(1,1), COV(1,2)); in main()
69 COV(2,0), COV(2,1), COV(2,2)); in main()
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/acro/packages/utilib/src/libs/
H A Dcov.c17 int covariance(double **X, int m, int n, double **COV);
19 int covariance(double **X, int m, int n, double **COV) in covariance() argument
24 temp_vec = COV[0]; in covariance()
42 COV[k][l] = 0.0; in covariance()
44 COV[k][l] += X[j][k]*X[j][l]; in covariance()
45 COV[k][l] /= ((double) (m-1)); in covariance()
46 COV[l][k] = COV[k][l]; in covariance()
/dports/math/R-cran-acepack/acepack/src/
H A Drlsmo.f67 COV=0.
77 COV=COV+WIN*(XIN-XBAR)*(YIN-YBAR)*(SUMW+WIN)/SUMW
90 COV=COV-WIN*(XOUT-XBAR)*(YOUT-YBAR)*SUMW/(SUMW-WIN)
109 COV=COV+WIN*(XIN-XBAR)*(YIN-YBAR)*(SUMW+WIN)/SUMW
116 SCRAT(1)=COV/VAR
171 COV=COV+WIN*(XIN-XBAR)*(YIN-YBAR)*(SUMW+WIN)/SUMW
183 COV=COV+WIN*(XIN-XBAR)*(YIN-YBAR)*(SUMW+WIN)/SUMW
192 COV=COV-WIN*(XOUT-XBAR)*(YOUT-YBAR)*SUMW/(SUMW-WIN)
204 COV=COV-WIN*(XOUT-XBAR)*(YOUT-YBAR)*SUMW/(SUMW-WIN)
216 COV=COV-WIN*(XOUT-XBAR)*(YOUT-YBAR)*SUMW/(SUMW-WIN)
[all …]
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/pecos/src/
H A DLognormalRandomVariable.hpp322 Real COV = coefficient_of_variation(), COV_rv; in correlation_warping_factor() local
327 return 1.019 + (0.014 + 0.249*COV)*COV + 0.01*corr*corr; break; in correlation_warping_factor()
330 + ( 0.019 + 0.303*COV - 0.437*corr)*COV; break; in correlation_warping_factor()
333 + ( 0.014 + 0.233*COV - 0.197*corr)*COV; break; in correlation_warping_factor()
339 std::sqrt(bmth::log1p(COV*COV)*bmth::log1p(COV_rv*COV_rv)); break; in correlation_warping_factor()
343 + (0.004 + 0.223*COV - 0.104*corr)*COV in correlation_warping_factor()
348 + (-0.019 + 0.288*COV - 0.441*corr)*COV in correlation_warping_factor()
353 + (0.011 + 0.22*COV + 0.005*corr)*COV in correlation_warping_factor()
479 Real COV = std_dev/mean, zeta = std::sqrt(bmth::log1p(COV*COV)); in error_factor_from_std_deviation() local
496 Real COV = std_dev/mean; in zeta_sq_from_moments() local
[all …]
H A DFrechetRandomVariable.hpp254 Real COV = coefficient_of_variation(), COV_rv; in correlation_warping_factor() local
260 Real COV2 = COV*COV, COV_rv2 = COV_rv*COV_rv, corr2 = corr*corr; in correlation_warping_factor()
261 return 1.086 + 0.054*corr + 0.104*(COV + COV_rv) - 0.055*corr2 in correlation_warping_factor()
262 + 0.662*(COV2 + COV_rv2) - 0.57*corr*(COV + COV_rv) + 0.203*COV*COV_rv in correlation_warping_factor()
263 - 0.02*corr2*corr - 0.218*(COV2*COV+COV_rv2*COV_rv) in correlation_warping_factor()
264 - 0.371*corr*(COV2 + COV_rv2) + 0.257*corr2*(COV + COV_rv) in correlation_warping_factor()
265 + 0.141*COV*COV_rv*(COV + COV_rv); break; in correlation_warping_factor()
270 + (-0.259 + 0.435*COV_rv + 0.034*COV - 0.481*corr)*COV_rv in correlation_warping_factor()
271 + ( 0.241 + 0.372*COV + 0.005*corr)*COV; break; in correlation_warping_factor()
H A DNormalRandomVariable.hpp271 Real COV; in correlation_warping_factor() local
287 COV = rv.coefficient_of_variation(); in correlation_warping_factor()
288 return COV/std::sqrt(bmth::log1p(COV*COV)); break; // Exact in correlation_warping_factor()
290 COV = rv.coefficient_of_variation(); in correlation_warping_factor()
291 return 1.001 + (-0.007 + 0.118*COV)*COV; break; // Max Error 0.0% in correlation_warping_factor()
293 COV = rv.coefficient_of_variation(); in correlation_warping_factor()
294 return 1.03 + ( 0.238 + 0.364*COV)*COV; break; // Max Error 0.1% in correlation_warping_factor()
296 COV = rv.coefficient_of_variation(); in correlation_warping_factor()
297 return 1.031 + (-0.195 + 0.328*COV)*COV; break; // Max Error 0.1% in correlation_warping_factor()
H A DGammaRandomVariable.hpp343 Real COV = coefficient_of_variation(), COV_rv; in correlation_warping_factor() local
349 + (-0.007 + 0.131*COV - 0.132*corr)*COV; break; in correlation_warping_factor()
354 return 1.002 + 0.022*corr - 0.012*(COV + COV_rv) + 0.001*corr*corr in correlation_warping_factor()
355 + 0.125*(COV*COV + COV_rv*COV_rv) - 0.077*corr*(COV + COV_rv) in correlation_warping_factor()
356 + 0.014*COV*COV_rv; break; in correlation_warping_factor()
360 + (-0.03 + 0.174*COV - 0.313*corr)*COV in correlation_warping_factor()
361 + (0.225 + 0.379*COV_rv + 0.075*COV - 0.182*corr)*COV_rv; break; in correlation_warping_factor()
365 + (-0.007 + 0.121*COV - 0.006*corr + 0.003*COV_rv)*COV in correlation_warping_factor()
H A DExponentialRandomVariable.hpp292 Real COV; in correlation_warping_factor() local
303 COV = rv.coefficient_of_variation(); in correlation_warping_factor()
305 + (-0.008 + 0.173*COV - 0.296*corr)*COV; break; // Max Error 0.9% in correlation_warping_factor()
307 COV = rv.coefficient_of_variation(); in correlation_warping_factor()
309 + ( 0.361 + 0.455*COV - 0.728*corr)*COV; break; // Max Error 4.5% in correlation_warping_factor()
311 COV = rv.coefficient_of_variation(); in correlation_warping_factor()
313 + (-0.271 + 0.459*COV - 0.467*corr)*COV; break; // Max Error 0.4% in correlation_warping_factor()
/dports/math/R-cran-mvtnorm/mvtnorm/src/
H A Dmvt.f164 COV(2) = COV(2)/R
284 COV(IJ) = CORREL(II)
287 COV(IJ) = 1
346 COV(II+I) = CVDIAG
355 COV(IL+I) = COV(IL+I)/CVDIAG
358 COV(IL+J) = COV(IL+J) - COV(IL+I)*COV(IJ+I)
378 COV(II) = COV(II)/CVDIAG
386 COV(IL+I) = 0
404 COV(II+L) = COV(II+L)/COV(II+J)
411 CALL MVSSWP( COV(IJ-K+M), COV(IJ+M) )
[all …]
/dports/math/octave-forge-nan/nan-3.6.1/inst/
H A Dcov.m2 % COV covariance matrix
14 % However, COV is faster than CORRCOEF and might be good enough in some cases.
16 % C = COV(X [,Mode]);
18 % C = COV(X,Y [,Mode]);
25 % a) use COV([X(:),Y(:)]) if you want the traditional Matlab result.
26 % b) use C = COV([X,Y]), C = C(1:size(X,2),size(X,2)+1:size(C,2)); if you want to be compatib…
73 fprintf(2,'Error COV: invalid number of arguments\n');
77 % COV in Matlab is differently defined than COV in Octave.
79 …fprintf(2,'Warning NaN/COV: This kind of use of COV is discouraged because it produces different r…
80 … fprintf(2,' (a) the traditional Matlab result can be obtained with: C = COV([X(:),Y(:)]).\n');
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H A Ddecovm.m1 function [mu,sd,COV,xc,M,R2]=decovm(XCN,NN)
3 % standard deviation, the (pure) Covariance (COV),
6 % [mu,sd,COV,xc,N,R2]=decovm(ECM[,NN])
53 COV = XCN(2:c,2:c) - mu'*mu; variable
54 sd = sqrt(diag(COV))';
56 xc = COV./(sd'*sd);
64 COV=(XCN(2:N,2:N)/XCN(1,1)-XCN(2:N,1)*XCN(1,2:N)/XCN(1,1)^2);
65 sd=sqrt(diag(COV));
66 xc=COV./(sd*sd');
/dports/science/py-scipy/scipy-1.7.1/scipy/stats/
H A Dmvndst.f236 SAVE A, B, INFI, COV
354 COV(IJ) = CORREL(II)
357 COV(IJ) = 1
409 COV(II+I) = CVDIAG
418 COV(IL+I) = COV(IL+I)/CVDIAG
421 COV(IL+J) = COV(IL+J) - COV(IL+I)*COV(IJ+I)
439 COV(II) = COV(II)/CVDIAG
446 COV(IL+I) = 0
463 COV(II+L) = COV(II+L)/COV(II+J)
470 CALL DKSWAP( COV(IJ-K+M), COV(IJ+M) )
[all …]
/dports/security/snuffleupagus/snuffleupagus-0.7.0/
H A DMakefile36 rm -Rf src/COV.html
39 lcov --base-directory ./src --directory ./src -c -o ./src/COV.info --rc lcov_branch_coverage=1
40 …lcov --remove src/COV.info '/usr/*' --remove src/COV.info '*tweetnacl.c' -o src/COV.info --rc lcov…
41 genhtml --show-details -o src/COV.html ./src/COV.info --branch-coverage
/dports/devel/llvm-devel/llvm-project-f05c95f10fc1d8171071735af8ad3a9e87633120/compiler-rt/test/fuzzer/
H A DOutOfProcessFuzzTarget.cpp51 static std::string *Run, *IN, *COV; variable
54 unlink(COV->c_str()); in TearDown()
60 COV = new std::string("lf-oop-cov-" + std::to_string(getpid())); in Initialize()
66 Run = new std::string("SANCOV_OUT=" + *COV + " " + TargetEnv + " " + *IN); in Initialize()
81 if (FILE *f = fopen(COV->c_str(), "r")) { in LLVMFuzzerTestOneInput()
/dports/biology/biosig/biosig-2.3.3/biosig4matlab/t490_EvaluationCriteria/
H A Dqcmahal.m11 % [Q,D,R,COV]=qcmahal(XC);
16 % COV gives the suggested class definition
49 n=NC; %size(COV);
54 for k=1:NC(1),%size(COV,1);
55 %[M,SD1,XC01,xc01,N1] = decovm(squeeze(COV(k,:,:)));
77 w{k,l} = squeeze(COV(k,2:n(2),1)-COV(l,2:n(2),1)) / (XC{k} + XC{l});
78 w{k,l} = [-sum(COV([k,l],2:n(2),1),1)*w{k,l}; w{k,l}];
91 %tmpCOV = COV;
99 if any(q>Q), COV = tmp1; end; % if actual value is not optimal, keep reduced matrix
/dports/biology/biosig/biosig-2.3.3/biosig4matlab/t400_Classification/
H A Ddecovm.m1 function [mu,sd,COV,xc,M,R2]=decovm(XCN,NN)
3 % standard deviation, the (pure) Covariance (COV),
6 % [mu,sd,COV,xc,N,R2]=decovm(ECM[,NN])
53 COV = XCN(2:c,2:c) - mu'*mu; variable
54 sd = sqrt(diag(COV))';
56 xc = COV./(sd'*sd);
64 COV=(XCN(2:N,2:N)/XCN(1,1)-XCN(2:N,1)*XCN(1,2:N)/XCN(1,1)^2);
65 sd=sqrt(diag(COV));
66 xc=COV./(sd*sd');
/dports/math/cado-nfs/cado-nfs-f4284e2391121b2bfb97bc4880b6273c7250dc2f/dev_docs/
H A DREADME.coverage.md15 if [ "$COV" ] ; then
26 COV=1 make cmake
27 COV=1 make -j8
28 COV=1 ./cado-nfs.py 90377629292003121684002147101760858109247336549001090677693
29 eval $(COV=1 make show)
/dports/math/cmlib/cmlib-3.0_8/src/nl2sn/
H A Dnl2it.f127 INTEGER COV, G1, GI, I, IV1, JTOL1, K, L, LH,
363 COV = L
365 COV = IABS(IV(FDH))
372 CALL LINVRT(P, V(COV), V(COV))
373 CALL LTSQAR(P, V(COV), V(COV))
375 L = COV + LH - 1
376 DO 260 I = COV, L
378 IV(COVMAT) = COV

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