/dports/security/aws-iam-authenticator/aws-iam-authenticator-0.5.2/vendor/gonum.org/v1/gonum/mat/ |
H A D | inner.go | 40 var xmat, ymat blas64.Vector 47 ymat = yrv.RawVector() 54 if ymat.Inc == 1 { 57 ymat.Data[i:], 62 ymat.Data[i*ymat.Inc:], uintptr(n-i), 63 1, uintptr(ymat.Inc), 88 var ymat blas64.Vector 90 ymat = yrv.RawVector() 97 if ymat.Inc == 1 { 100 ymat.Data, [all …]
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/dports/www/carbonapi/carbonapi-0.14.1/vendor/gonum.org/v1/gonum/mat/ |
H A D | inner.go | 43 var xmat, ymat blas64.Vector 50 ymat = yrv.RawVector() 57 if ymat.Inc == 1 { 60 ymat.Data[i:], 65 ymat.Data[i*ymat.Inc:], uintptr(n-i), 66 1, uintptr(ymat.Inc), 91 var ymat blas64.Vector 93 ymat = yrv.RawVector() 100 if ymat.Inc == 1 { 103 ymat.Data, [all …]
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/dports/www/grafana8/grafana-8.3.6/vendor/gonum.org/v1/gonum/mat/ |
H A D | inner.go | 43 var xmat, ymat blas64.Vector 50 ymat = yrv.RawVector() 57 if ymat.Inc == 1 { 60 ymat.Data[i:], 65 ymat.Data[i*ymat.Inc:], uintptr(n-i), 66 1, uintptr(ymat.Inc), 91 var ymat blas64.Vector 93 ymat = yrv.RawVector() 100 if ymat.Inc == 1 { 103 ymat.Data, [all …]
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/dports/sysutils/kubectl/kubernetes-1.22.2/vendor/gonum.org/v1/gonum/mat/ |
H A D | inner.go | 43 var xmat, ymat blas64.Vector 50 ymat = yrv.RawVector() 57 if ymat.Inc == 1 { 60 ymat.Data[i:], 65 ymat.Data[i*ymat.Inc:], uintptr(n-i), 66 1, uintptr(ymat.Inc), 91 var ymat blas64.Vector 93 ymat = yrv.RawVector() 100 if ymat.Inc == 1 { 103 ymat.Data, [all …]
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/dports/sysutils/istio/istio-1.6.7/vendor/github.com/openshift/api/vendor/gonum.org/v1/gonum/mat/ |
H A D | inner.go | 40 var xmat, ymat blas64.Vector 47 ymat = yrv.RawVector() 54 if ymat.Inc == 1 { 57 ymat.Data[i:], 62 ymat.Data[i*ymat.Inc:], uintptr(n-i), 63 1, uintptr(ymat.Inc), 88 var ymat blas64.Vector 90 ymat = yrv.RawVector() 97 if ymat.Inc == 1 { 100 ymat.Data, [all …]
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/dports/math/octave/octave-6.4.0/libinterp/corefcn/ |
H A D | __pchip_deriv__.cc | 58 FloatMatrix ymat (args(1).float_matrix_value ()); variable 65 octave_idx_type nyr = ymat.rows (); 66 octave_idx_type nyc = ymat.columns (); 81 ymat.data () + k * inc, 96 Matrix ymat (args(1).matrix_value ()); variable 103 octave_idx_type nyr = ymat.rows (); 104 octave_idx_type nyc = ymat.columns (); 119 ymat.data () + k * inc,
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/dports/science/R-cran-kernlab/kernlab/R/ |
H A D | lssvm.R | 179 ymat <- matrix(0, m, nclass(ret)) functionVar 180 ymat[yind==y] <- 1 251 ymat <- y 258 Gtalpha <- solve(Gtalpha) %*% GtP %*% ymat 373 ymat <- matrix(0, m, nclass(ret)) functionVar 374 ymat[yind==y] <- 1 379 b <- colMeans(ymat) - colMeans(x%*%beta) 405 ymat <- y 547 ymat <- matrix(0, m, nclass(ret)) functionVar 548 ymat[yind==y] <- 1 [all …]
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/dports/math/R-cran-VGAM/VGAM/R/ |
H A D | family.rcqo.R | 249 ymat <- ymat^0.5 252 ymat <- matrix(rgamma(n * S, shape = Shape, 255 if (log.arg) ymat <- log(ymat) 263 ymat <- cut(c(ymat), breaks = breaks, labels = FALSE) 264 dim(ymat) <- c(n,S) 267 ymat <- 0 + (ymat > 0) 274 dimnames(ymat) <- list(as.character(1:n), ynames) 275 ans <- data.frame(xmat, ymat) 373 ymat <- if (family == "negbinomial") { functionVar 381 ymat <- 0 + (ymat > 0) [all …]
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/dports/science/dynare/dynare-4.6.4/dynare++/kord/ |
H A D | global_check.cc | 314 ymat.get(0, 0) = 1; in checkOnEllipseAndSave() 315 ymat.get(0, 1) = -1; in checkOnEllipseAndSave() 326 Vector ycol{ymat.getCol(icol)}; in checkOnEllipseAndSave() 343 TwoDMatrix umat(model.nexog(), ymat.ncols()); in checkOnEllipseAndSave() 345 ymat.mult(mult); in checkOnEllipseAndSave() 346 ymat.multLeft(ycovfac); in checkOnEllipseAndSave() 349 for (int icol = 0; icol < ymat.ncols(); icol++) in checkOnEllipseAndSave() 351 Vector ycol{ymat.getCol(icol)}; in checkOnEllipseAndSave() 357 TwoDMatrix out(model.numeq(), ymat.ncols()); in checkOnEllipseAndSave() 358 check(max_evals, ymat, umat, out); in checkOnEllipseAndSave() [all …]
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/dports/math/suitesparse-klu/SuiteSparse-5.10.1/GraphBLAS/Test/ |
H A D | test154.m | 69 ymat = (hi*sparse (rand(1))-lo) .* sparse (rand(1)) ; variable 85 ymat = max (ymat, ylimits (1)) ; variable 86 ymat = min (ymat, ylimits (2)) ; variable 88 if (ymat == 0) 89 ymat = sparse (0.5) ; variable 107 y.matrix = ymat ; 113 Y.matrix = ymat .* spones (Amat) ;
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/dports/math/suitesparse-graphblas/SuiteSparse-5.10.1/GraphBLAS/Test/ |
H A D | test154.m | 69 ymat = (hi*sparse (rand(1))-lo) .* sparse (rand(1)) ; variable 85 ymat = max (ymat, ylimits (1)) ; variable 86 ymat = min (ymat, ylimits (2)) ; variable 88 if (ymat == 0) 89 ymat = sparse (0.5) ; variable 107 y.matrix = ymat ; 113 Y.matrix = ymat .* spones (Amat) ;
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/dports/math/suitesparse-ldl/SuiteSparse-5.10.1/GraphBLAS/Test/ |
H A D | test154.m | 69 ymat = (hi*sparse (rand(1))-lo) .* sparse (rand(1)) ; variable 85 ymat = max (ymat, ylimits (1)) ; variable 86 ymat = min (ymat, ylimits (2)) ; variable 88 if (ymat == 0) 89 ymat = sparse (0.5) ; variable 107 y.matrix = ymat ; 113 Y.matrix = ymat .* spones (Amat) ;
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/dports/math/suitesparse-config/SuiteSparse-5.10.1/GraphBLAS/Test/ |
H A D | test154.m | 69 ymat = (hi*sparse (rand(1))-lo) .* sparse (rand(1)) ; variable 85 ymat = max (ymat, ylimits (1)) ; variable 86 ymat = min (ymat, ylimits (2)) ; variable 88 if (ymat == 0) 89 ymat = sparse (0.5) ; variable 107 y.matrix = ymat ; 113 Y.matrix = ymat .* spones (Amat) ;
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/dports/math/suitesparse-mongoose/SuiteSparse-5.10.1/GraphBLAS/Test/ |
H A D | test154.m | 69 ymat = (hi*sparse (rand(1))-lo) .* sparse (rand(1)) ; variable 85 ymat = max (ymat, ylimits (1)) ; variable 86 ymat = min (ymat, ylimits (2)) ; variable 88 if (ymat == 0) 89 ymat = sparse (0.5) ; variable 107 y.matrix = ymat ; 113 Y.matrix = ymat .* spones (Amat) ;
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/dports/math/suitesparse-rbio/SuiteSparse-5.10.1/GraphBLAS/Test/ |
H A D | test154.m | 69 ymat = (hi*sparse (rand(1))-lo) .* sparse (rand(1)) ; variable 85 ymat = max (ymat, ylimits (1)) ; variable 86 ymat = min (ymat, ylimits (2)) ; variable 88 if (ymat == 0) 89 ymat = sparse (0.5) ; variable 107 y.matrix = ymat ; 113 Y.matrix = ymat .* spones (Amat) ;
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/dports/math/suitesparse-cholmod/SuiteSparse-5.10.1/GraphBLAS/Test/ |
H A D | test154.m | 69 ymat = (hi*sparse (rand(1))-lo) .* sparse (rand(1)) ; variable 85 ymat = max (ymat, ylimits (1)) ; variable 86 ymat = min (ymat, ylimits (2)) ; variable 88 if (ymat == 0) 89 ymat = sparse (0.5) ; variable 107 y.matrix = ymat ; 113 Y.matrix = ymat .* spones (Amat) ;
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/dports/math/suitesparse-colamd/SuiteSparse-5.10.1/GraphBLAS/Test/ |
H A D | test154.m | 69 ymat = (hi*sparse (rand(1))-lo) .* sparse (rand(1)) ; variable 85 ymat = max (ymat, ylimits (1)) ; variable 86 ymat = min (ymat, ylimits (2)) ; variable 88 if (ymat == 0) 89 ymat = sparse (0.5) ; variable 107 y.matrix = ymat ; 113 Y.matrix = ymat .* spones (Amat) ;
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/dports/math/suitesparse-ccolamd/SuiteSparse-5.10.1/GraphBLAS/Test/ |
H A D | test154.m | 69 ymat = (hi*sparse (rand(1))-lo) .* sparse (rand(1)) ; variable 85 ymat = max (ymat, ylimits (1)) ; variable 86 ymat = min (ymat, ylimits (2)) ; variable 88 if (ymat == 0) 89 ymat = sparse (0.5) ; variable 107 y.matrix = ymat ; 113 Y.matrix = ymat .* spones (Amat) ;
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/dports/math/R-cran-VGAM/VGAM/man/ |
H A D | binormalcop.Rd | 106 ymat <- rbinormcop(n = nn, rho = rhobitlink(-0.9, inverse = TRUE)) 107 bdata <- data.frame(y1 = ymat[, 1], y2 = ymat[, 2], 108 y3 = ymat[, 1], y4 = ymat[, 2], x2 = runif(nn)) 110 \dontrun{ plot(ymat, col = "blue") } 122 ymat <- rbinormcop(n = nn, rho = with(bdata, rho)) 123 bdata <- transform(bdata, y5 = ymat[, 1], y6 = ymat[, 2])
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H A D | biclaytoncop.Rd | 105 ymat <- rbiclaytoncop(n = (nn <- 1000), apar = exp(2)) 106 bdata <- data.frame(y1 = ymat[, 1], y2 = ymat[, 2], 107 y3 = ymat[, 1], y4 = ymat[, 2], x2 = runif(nn)) 109 \dontrun{ plot(ymat, col = "blue") } 120 ymat <- rbiclaytoncop(n = nn, apar = with(bdata, apar)) 121 bdata <- transform(bdata, y5 = ymat[, 1], y6 = ymat[, 2])
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/dports/math/suitesparse-slip_lu/SuiteSparse-5.10.1/GraphBLAS/Test/ |
H A D | test154.m | 69 ymat = (hi*sparse (rand(1))-lo) .* sparse (rand(1)) ; variable 85 ymat = max (ymat, ylimits (1)) ; variable 86 ymat = min (ymat, ylimits (2)) ; variable 88 if (ymat == 0) 89 ymat = sparse (0.5) ; variable 107 y.matrix = ymat ; 113 Y.matrix = ymat .* spones (Amat) ;
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/dports/math/suitesparse-spqr/SuiteSparse-5.10.1/GraphBLAS/Test/ |
H A D | test154.m | 69 ymat = (hi*sparse (rand(1))-lo) .* sparse (rand(1)) ; variable 85 ymat = max (ymat, ylimits (1)) ; variable 86 ymat = min (ymat, ylimits (2)) ; variable 88 if (ymat == 0) 89 ymat = sparse (0.5) ; variable 107 y.matrix = ymat ; 113 Y.matrix = ymat .* spones (Amat) ;
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/dports/math/suitesparse-umfpack/SuiteSparse-5.10.1/GraphBLAS/Test/ |
H A D | test154.m | 69 ymat = (hi*sparse (rand(1))-lo) .* sparse (rand(1)) ; variable 85 ymat = max (ymat, ylimits (1)) ; variable 86 ymat = min (ymat, ylimits (2)) ; variable 88 if (ymat == 0) 89 ymat = sparse (0.5) ; variable 107 y.matrix = ymat ; 113 Y.matrix = ymat .* spones (Amat) ;
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/dports/math/suitesparse-btf/SuiteSparse-5.10.1/GraphBLAS/Test/ |
H A D | test154.m | 69 ymat = (hi*sparse (rand(1))-lo) .* sparse (rand(1)) ; variable 85 ymat = max (ymat, ylimits (1)) ; variable 86 ymat = min (ymat, ylimits (2)) ; variable 88 if (ymat == 0) 89 ymat = sparse (0.5) ; variable 107 y.matrix = ymat ; 113 Y.matrix = ymat .* spones (Amat) ;
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/dports/math/suitesparse-amd/SuiteSparse-5.10.1/GraphBLAS/Test/ |
H A D | test154.m | 69 ymat = (hi*sparse (rand(1))-lo) .* sparse (rand(1)) ; variable 85 ymat = max (ymat, ylimits (1)) ; variable 86 ymat = min (ymat, ylimits (2)) ; variable 88 if (ymat == 0) 89 ymat = sparse (0.5) ; variable 107 y.matrix = ymat ; 113 Y.matrix = ymat .* spones (Amat) ;
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