/dports/math/py-cvxpy/cvxpy-1.1.17/cvxpy/atoms/ |
H A D | inv_prod.py | 18 from cvxpy.atoms.geo_mean import geo_mean 38 return power(inv_pos(geo_mean(value)), sum(value.shape))
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H A D | __init__.py | 62 from cvxpy.atoms.geo_mean import geo_mean 97 geo_mean,
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H A D | geo_mean.py | 28 class geo_mean(Atom): class 202 super(geo_mean, self).__init__(x)
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/dports/math/py-cvxpy/cvxpy-1.1.17/cvxpy/tests/ |
H A D | test_dgp.py | 157 geo_mean = cvxpy.geo_mean(x, p) 158 self.assertTrue(geo_mean.is_dgp()) 159 self.assertTrue(geo_mean.is_log_log_affine()) 160 self.assertTrue(geo_mean.is_log_log_convex()) 161 self.assertTrue(geo_mean.is_log_log_concave())
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H A D | test_constant_atoms.py | 227 (cp.geo_mean, tuple(), [[4, 1]], Constant([2])), 228 (cp.geo_mean, tuple(), [[0.01, 7]], Constant([0.2645751311064591])), 229 (cp.geo_mean, tuple(), [[63, 7]], Constant([21])), 230 (cp.geo_mean, tuple(), [[1, 10]], Constant([math.sqrt(10)])), 231 (lambda x: cp.geo_mean(x, [1, 1]), tuple(), [[1, 10]], Constant([math.sqrt(10)])), 232 (lambda x: cp.geo_mean(x, [.4, .8, 4.9]), tuple(),
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H A D | test_domain.py | 77 dom = cp.geo_mean(self.x).domain 83 dom = cp.geo_mean(self.x, [0, 2]).domain 89 dom = cp.geo_mean(self.z, [0, 1, 1]).domain
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H A D | test_dgp2dcp.py | 303 geo_mean = cvxpy.geo_mean(x, p) 304 dgp = cvxpy.Problem(cvxpy.Minimize(geo_mean), []) 437 constr = [cvxpy.geo_mean(cvxpy.diag(X)) == 0.1, 438 cvxpy.geo_mean(cvxpy.hstack([X[0, 1], X[1, 0]])) == 0.1]
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H A D | test_problem.py | 1572 cost = cp.geo_mean(x) 1582 self.assertRaises(ValueError, cp.geo_mean, x) 1585 g = cp.geo_mean(x) 1589 g = cp.geo_mean(x) 1602 prob = Problem(cp.Maximize(cp.geo_mean(x, p)), [cp.sum(x) <= 1]) 1607 self.assertTrue(np.allclose(prob.value, cp.geo_mean(list(x), p).value)) 1614 prob = Problem(cp.Maximize(cp.geo_mean(x, p)), [cp.norm(x) <= 1]) 1619 self.assertTrue(np.allclose(prob.value, cp.geo_mean(list(x), p).value)) 1629 Problem(cp.Maximize(cp.geo_mean(x)), [x <= 1]).solve(solver=cp.SCS) 1634 Problem(cp.Maximize(cp.geo_mean(y)), [x <= 1]).solve(solver=cp.SCS) [all …]
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H A D | test_grad.py | 126 expr = cp.geo_mean(self.x) 133 expr = cp.geo_mean(self.x, [1, 0])
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H A D | test_complex.py | 531 for atom in [cvx.geo_mean, cvx.log_sum_exp, cvx.max,
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H A D | test_derivative.py | 539 obj = cp.Minimize(cp.geo_mean(cp.vec(X)))
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H A D | test_atoms.py | 164 atom = cp.geo_mean(self.x)
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/dports/math/rkward-kde/rkward-0.7.1/tests/plots/ |
H A D | boxplot.rkcommands.R | 19 geo_mean <- function (x) {prod(na.omit(x))^(1/length(na.omit(x)))} # Calculate geometric mean function 20 …points(sapply(data_list, geo_mean), pch=15, cex = 1.00, col="blue") # calculates the mean for all …
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/dports/audio/bliss/bliss-1.2.0-6-ga443635/bliss-rs/src/ |
H A D | timbral.rs | 148 let geo_mean = geometric_mean(&cvec.norm()); in do_() localVariable 149 if geo_mean == 0.0 { in do_() 153 let flatness = geo_mean / mean(&cvec.norm()); in do_()
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/dports/math/py-cvxpy/cvxpy-1.1.17/cvxpy/reductions/dgp2dcp/atom_canonicalizers/ |
H A D | __init__.py | 14 from cvxpy.atoms.geo_mean import geo_mean 73 geo_mean : geo_mean_canon,
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/dports/math/py-cvxpy/cvxpy-1.1.17/examples/ |
H A D | floor_packing.py | 20 from cvxpy import Minimize, Problem, Variable, geo_mean, vstack 101 geo_mean(vstack([box.width, box.height])) >= math.sqrt(box.min_area)
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/dports/math/R-cran-recipes/recipes/R/ |
H A D | BoxCox.R | 181 geo_mean <- exp(mean(log(dat))) functionVar 182 ll_bc(lambda = lam, y = dat, gm = geo_mean)
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/dports/devel/py-pyperf/pyperf-2.3.0/pyperf/ |
H A D | _compare.py | 48 geo_mean = geometric_mean(norm_means) 49 return format_normalized_mean(geo_mean) 440 geo_mean = format_geometric_mean(norm_means) 443 geo_mean = format_geometric_mean(all_norm_means[0][1])
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/dports/benchmarks/phoronix-test-suite/phoronix-test-suite-10.6.1/pts-core/objects/ |
H A D | pts_result_file_analyzer.php | 636 …$geo_mean = pts_result_file_analyzer::generate_geometric_mean_result($result_file, true, $containe… 637 if($geo_mean) 639 …$geo_mean->test_profile->set_test_title('Geometric Mean Of ' . $suite->get_title() . (stripos($sui… 640 $geo_mean->normalize_buffer_values(); 641 …$geo_mean->set_annotation('Geometric mean based upon tests: ' . pts_arrays::implode_list($containe… 642 $geo_mean_results[] = $geo_mean;
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/dports/math/py-cvxpy/cvxpy-1.1.17/cvxpy/reductions/dcp2cone/atom_canonicalizers/ |
H A D | __init__.py | 53 geo_mean : geo_mean_canon,
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/dports/biology/gemma/GEMMA-0.98.3/src/ |
H A D | bslmm.h | 62 double geo_mean; // Mean of geometric dist. variable
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H A D | param.h | 214 double geo_mean; // Mean of geometric dist. variable
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H A D | bslmm.cpp | 86 geo_mean = cPar.geo_mean; in CopyFromParam() 314 p = 0.7 * gsl_ran_geometric_pdf(i + 1, 1.0 / geo_mean) + in CalcPgamma()
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H A D | param.cpp | 103 r_pace(10), w_pace(1000), n_accept(0), n_mh(10), geo_mean(2000.0), in PARAM()
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H A D | gemma.cpp | 1486 cPar.geo_mean = atof(str.c_str()); in Assign()
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