module to concatenate variables into string variable tssc install catenate caterpillar module to generate confidence intervals, Bonferroni-corrected confidence intervals, and null distribution" tssc install caterpillar catgraph module to plotting means of a variable by category tssc install catgrap...
sggeveig_generalized.cGeneralized eigenvalue problem for non-symmetric matrices ssygvdeig_generalized.cGeneralized eigenvalue problem for symmetric matrices rfftffft.cCompute Fast Fourier Transform 1D cfftbifft.cCompute Inverse Fast Fourier Transform 1D ...
casefat module for estimating the case fatality ratio of a new infectious disease tssc install casefat catenate module to concatenate variables into string variable tssc install catenate caterpillar module to generate confidence intervals, Bonferroni-corrected confidence intervals, and null distribution" ts...
2.2. Matrices and spectra associated to digraphs Suppose that D=(V,E,r,s) is a finite digraph. There are a variety of matrices and corresponding eigenvalue spectra that have been associated to D. Before stating the formal definitions, let us briefly discuss the appearances of these spectra ...
wgt the w × s matrix of the individual weights eval or [i] for INDSCAL, COSPA, SUMSCAL: this a s vector of eigen- values depending on the method [ii] for KYST, MULTISCAL, and SMACOF: evec or grad [i] for INDSCAL, COSPA, SUMSCAL: this is a n × s ma- trix of eigenvectors...
igl::cat Concatenate two matrices (especially useful for dealing with Eigen sparse matrices) igl::ceil Round entries up to nearest integer igl::cumsum Cumulative sum of matrix elements igl::colon Act like Matlab's :, similar to Eigen's LinSpaced igl::cross Cross product per-row igl::do...
Fast plotting of large matrices via pyqtgraph This is module provides scripts to plot large matrices or point clouds in a fast way using pyqtgraph and opengl. """ __license__ = 'MIT License <http://www.opensource.org/licenses/mit-license.php>' __author__ = 'Christoph Kirst <ckirst@roc...
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#include "drake/common/eigen_types.h" #include "drake/common/trajectories/piecewise_polynomial.h" #include "drake/systems/analysis/stepwise_dense_output.h" #include "drake/systems/framework/basic_vector.h" #include "drake/systems/framework/vector_base.h"...
"Joint approximate diagonalization of positive definite Hermitian matrices." SIAM Journal on Matrix Analysis and Applications 22, no. 4 (2001): 1136-1152. """ # Adapted from http://github.com/alexandrebarachant/pyRiemann n_epochs = X.shape[0] # Reshape input matrix A = np.c...