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/dports/science/py-OpenMC/openmc-0.12.2/examples/pincell_multigroup/
H A Dbuild_xml.py23 scatter_matrix = np.array( variable
31 scatter_matrix = np.rollaxis(scatter_matrix, 0, 3) variable
32 uo2_xsdata.set_scatter_matrix(scatter_matrix)
49 scatter_matrix = np.array( variable
57 scatter_matrix = np.rollaxis(scatter_matrix, 0, 3) variable
58 h2o_xsdata.set_scatter_matrix(scatter_matrix)
/dports/science/openmc/openmc-0.12.2/examples/pincell_multigroup/
H A Dbuild_xml.py23 scatter_matrix = np.array( variable
31 scatter_matrix = np.rollaxis(scatter_matrix, 0, 3) variable
32 uo2_xsdata.set_scatter_matrix(scatter_matrix)
49 scatter_matrix = np.array( variable
57 scatter_matrix = np.rollaxis(scatter_matrix, 0, 3) variable
58 h2o_xsdata.set_scatter_matrix(scatter_matrix)
/dports/misc/vxl/vxl-3.3.2/contrib/rpl/rgrl/examples/
H A Destimate_normals_3d.cxx52 vnl_scatter_3x3<double> scatter_matrix; in approximate_normal() local
56 scatter_matrix.add_outer_product(shifted_pt); in approximate_normal()
62 vector_3d normal = scatter_matrix.minimum_eigenvector(); in approximate_normal()
/dports/science/py-OpenMC/openmc-0.12.2/tests/regression_tests/mg_convert/
H A Dtest.py25 scatter_matrix = np.array([[[0.75, 0.25],
31 scatter_matrix = np.rollaxis(scatter_matrix, 0, 3)
32 uo2_xsdata.set_scatter_matrix(scatter_matrix)
/dports/science/openmc/openmc-0.12.2/tests/regression_tests/mg_convert/
H A Dtest.py25 scatter_matrix = np.array([[[0.75, 0.25],
31 scatter_matrix = np.rollaxis(scatter_matrix, 0, 3)
32 uo2_xsdata.set_scatter_matrix(scatter_matrix)
/dports/math/tblis/tblis-1.2.0/src/matrix/
H A Dscatter_matrix.hpp16 class scatter_matrix : public abstract_matrix<T> class
29 scatter_matrix() {} in scatter_matrix() function in tblis::scatter_matrix
31 scatter_matrix(T* A, row_view<stride_type> rscat, in scatter_matrix() function in tblis::scatter_matrix
/dports/math/py-pandas/pandas-1.2.5/doc/source/whatsnew/
H A Dv0.7.3.rst20 - New :ref:`scatter_matrix <visualization.scatter_matrix>` function for making
25 from pandas.tools.plotting import scatter_matrix
27 scatter_matrix(df, alpha=0.2) # noqa F821
/dports/mail/rspamd/rspamd-3.1/lualib/plugins/
H A Dneural.lua228 local scatter_matrix = rspamd_tensor.scatter_matrix(rspamd_tensor.fromtable(inputs))
229 local eigenvals = scatter_matrix:eigen()
232 local w = rspamd_tensor.new(2, max_inputs, #scatter_matrix[1])
234 w[i] = scatter_matrix[#scatter_matrix - i + 1]
/dports/math/py-pandas/pandas-1.2.5/pandas/plotting/
H A D_misc.py72 def scatter_matrix( function
128 return plot_backend.scatter_matrix(
H A D__init__.py76 scatter_matrix,
/dports/math/py-pandas/pandas-1.2.5/doc/source/reference/
H A Dplotting.rst25 scatter_matrix
/dports/mail/rspamd-devel/rspamd-93430bb/lualib/plugins/
H A Dneural.lua231 local scatter_matrix = rspamd_tensor.scatter_matrix(rspamd_tensor.fromtable(inputs))
232 local eigenvals = scatter_matrix:eigen()
235 local w = rspamd_tensor.new(2, max_inputs, #scatter_matrix[1])
237 w[i] = scatter_matrix[#scatter_matrix - i + 1]
/dports/graphics/py-plotly/plotly-4.14.3/plotly/express/
H A D__init__.py37 scatter_matrix,
H A D_chart_types.py1240 def scatter_matrix( function
1276 scatter_matrix.__doc__ = make_docstring(scatter_matrix)
/dports/math/py-pandas/pandas-1.2.5/pandas/tests/plotting/
H A Dtest_misc.py100 scatter_matrix = plotting.scatter_matrix
110 scatter_matrix, filterwarnings="always", frame=df, range_padding=0.1
124 scatter_matrix, filterwarnings="always", frame=df, range_padding=0.1
/dports/math/py-pandas/pandas-1.2.5/pandas/plotting/_matplotlib/
H A D__init__.py27 scatter_matrix,
/dports/misc/vxl/vxl-3.3.2/contrib/oxl/mvl/
H A DHomgOperator2D.cxx352 vnl_scatter_3x3<double> scatter_matrix; in most_orthogonal_vector() local
355 scatter_matrix.add_outer_product(inpoint.get_vector()); in most_orthogonal_vector()
357 return scatter_matrix.minimum_eigenvector().as_ref(); in most_orthogonal_vector()
/dports/math/stanmath/math-4.2.0/stan/math/prim/functor/
H A Dmpi_parallel_call.hpp541 matrix_d scatter_matrix(const matrix_d& data) { in scatter_matrix() function in stan::math::mpi_parallel_call
572 local_job_params_dbl_ = scatter_matrix<-2>(job_params); in setup_call()
/dports/math/py-pystan/pystan-2.19.0.0/pystan/stan/lib/stan_math/stan/math/prim/mat/functor/
H A Dmpi_parallel_call.hpp540 matrix_d scatter_matrix(const matrix_d& data) { in scatter_matrix() function in stan::math::mpi_parallel_call
571 local_job_params_dbl_ = scatter_matrix<-2>(job_params); in setup_call()
/dports/science/py-OpenMC/openmc-0.12.2/docs/source/io_formats/
H A Dmgxs_library.rst158 - **scatter_matrix** (*double[]*) -- Flattened representation of the
173 The pre-flattened array is shapes consistent with `scatter_matrix`
/dports/mail/rspamd-devel/rspamd-93430bb/src/lua/
H A Dlua_tensor.c43 LUA_FUNCTION_DEF (tensor, scatter_matrix);
50 LUA_INTERFACE_DEF (tensor, scatter_matrix),
/dports/mail/rspamd/rspamd-3.1/src/lua/
H A Dlua_tensor.c43 LUA_FUNCTION_DEF (tensor, scatter_matrix);
50 LUA_INTERFACE_DEF (tensor, scatter_matrix),
/dports/science/openmc/openmc-0.12.2/docs/source/io_formats/
H A Dmgxs_library.rst158 - **scatter_matrix** (*double[]*) -- Flattened representation of the
173 The pre-flattened array is shapes consistent with `scatter_matrix`
/dports/science/py-OpenMC/openmc-0.12.2/openmc/
H A Dmgxs_library.py313 def scatter_matrix(self): member in XSdata
2229 scatter_matrix = np.zeros(data.xs_shapes["[G][G'][Order]"])
2250 scatter_matrix[g_in, g_out, ang] = \
2253 scatter_matrix[p, a, g_in, g_out, ang] = \
2256 data.set_scatter_matrix(scatter_matrix, float_temp)
/dports/science/openmc/openmc-0.12.2/openmc/
H A Dmgxs_library.py313 def scatter_matrix(self): member in XSdata
2229 scatter_matrix = np.zeros(data.xs_shapes["[G][G'][Order]"])
2250 scatter_matrix[g_in, g_out, ang] = \
2253 scatter_matrix[p, a, g_in, g_out, ang] = \
2256 data.set_scatter_matrix(scatter_matrix, float_temp)

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