examples/optimization/optimizer_tests.cc [code] | |
examples/platonic_allnn/allnn.h [code] | |
examples/platonic_allnn/allnn_main.cc [code] | This file contains a "platonic" example of FASTlib code for a stand-alone executable |
fastlib/fastlib.h [code] | |
fastlib/fastlib_int.h [code] | Internal FASTlib header file |
fastlib/base/ansi_colors.h [code] | |
fastlib/base/base.h [code] | |
fastlib/base/cc.cc [code] | Implementations for bare-necessities FASTlib programming in C++ |
fastlib/base/cc.h [code] | |
fastlib/base/ccmem.cc [code] | Implementations for non-template, non-inlined low-level memory management routines |
fastlib/base/ccmem.h [code] | |
fastlib/base/common.c [code] | Implementations for bare-necessities FASTlib programming in C |
fastlib/base/common.h [code] | |
fastlib/base/compiler.h [code] | |
fastlib/base/debug.c [code] | Default variable settings for debug options |
fastlib/base/debug.h [code] | |
fastlib/base/deprecated.h [code] | |
fastlib/base/fortran.h [code] | |
fastlib/base/otrav.cc [code] | |
fastlib/base/otrav.h [code] | |
fastlib/base/test.h [code] | |
fastlib/base/config/template_types.c [code] | Determines the size of each of the machine's basic types, automatically generating basic_types.h |
fastlib/build/CMakeFiles/CompilerIdC/CMakeCCompilerId.c [code] | |
fastlib/build/fastlib/base/basic_types.h [code] | |
fastlib/col/arraylist.h [code] | |
fastlib/col/col.cc [code] | Non-templated implementations of various collections |
fastlib/col/col_string.h [code] | |
fastlib/col/fastalloc.h [code] | |
fastlib/col/heap.h [code] | |
fastlib/col/intmap.h [code] | |
fastlib/col/queue.h [code] | |
fastlib/col/rangeset.h [code] | |
fastlib/data/crossvalidation.h [code] | |
fastlib/data/dataset.cc [code] | Implementations for the dataset utilities |
fastlib/data/dataset.h [code] | |
fastlib/file/textfile.cc [code] | Implementations for the text-based file I/O helper classes |
fastlib/file/textfile.h [code] | |
fastlib/fx/datanode.c [code] | Implementation for path-based string data storage |
fastlib/fx/datanode.h [code] | |
fastlib/fx/fx.c [code] | Definitions for integration with the experiment-running system |
fastlib/fx/fx.h [code] | |
fastlib/fx/stopwatch.c [code] | Definitions for timer utilities |
fastlib/fx/stopwatch.h [code] | |
fastlib/la/la.h [code] | |
fastlib/la/matrix.h [code] | |
fastlib/la/uselapack.cc [code] | Implementstion of the LAPACK wrappers |
fastlib/la/uselapack.h [code] | |
fastlib/math/discrete.cc [code] | Helpers for discrete math (implementation) |
fastlib/math/discrete.h [code] | |
fastlib/math/geometry.cc [code] | Implementation for geometry helpers |
fastlib/math/geometry.h [code] | |
fastlib/math/kernel.h [code] | |
fastlib/math/math_lib.h [code] | |
fastlib/math/statistics.cc [code] | Implementation for statistics helpers |
fastlib/math/statistics.h [code] | |
fastlib/optimization/contrib/optimizers.cc [code] | |
fastlib/optimization/contrib/optimizers.h [code] | |
fastlib/optimization/lbfgs/lbfgs.h [code] | |
fastlib/optimization/lbfgs/optimization_utils.h [code] | |
fastlib/optimization/lbfgs/test_lbfgs.cc [code] | |
fastlib/optimization/optpp/optimizer.h [code] | |
fastlib/optimization/optpp/optimizer_tests.cc [code] | |
fastlib/par/grain.h [code] | |
fastlib/par/task.h [code] | |
fastlib/par/thread.cc [code] | Implementation of the thread abstraction |
fastlib/par/thread.h [code] | |
fastlib/tree/bounds.h [code] | |
fastlib/tree/kdtree.h [code] | |
fastlib/tree/spacetree.h [code] | |
fastlib/tree/statistic.h [code] | |
include/abbrev_copyright.h [code] | |
include/Appl_Data.h [code] | |
include/Appl_Data_NPSOL.h [code] | |
include/AppLauncher.h [code] | |
include/BoolVector.h [code] | |
include/BoundConstraint.h [code] | |
include/CGProblem.h [code] | |
include/common.h [code] | |
include/CompoundConstraint.h [code] | |
include/Constraint.h [code] | |
include/ConstraintBase.h [code] | |
include/controlw.h [code] | |
include/GenSet.h [code] | |
include/GenSetBase.h [code] | |
include/GenSetBox2d.h [code] | |
include/GenSetMin.h [code] | |
include/GenSetStd.h [code] | |
include/globals.h [code] | |
include/include.h [code] | |
include/ioformat.h [code] | |
include/LinearConstraint.h [code] | |
include/LinearEquation.h [code] | |
include/LinearInequality.h [code] | |
include/LSQNLF.h [code] | |
include/myexcept.h [code] | |
include/newmat.h [code] | |
include/newmatap.h [code] | |
include/newmatio.h [code] | |
include/newmatnl.h [code] | |
include/newmatrc.h [code] | |
include/newmatrm.h [code] | |
include/NewtonProblem.h [code] | |
include/NIPSProblem.h [code] | |
include/NLF.h [code] | |
include/NLFAPP.h [code] | |
include/NLP.h [code] | |
include/NLP0.h [code] | |
include/NLP1.h [code] | |
include/NLP2.h [code] | |
include/NLPBase.h [code] | |
include/NonLinearConstraint.h [code] | |
include/NonLinearEquation.h [code] | |
include/NonLinearInequality.h [code] | |
include/NPSOLProblem.h [code] | |
include/Opt.h [code] | |
include/Opt_PARAMS.h [code] | |
include/OptBaNewton.h [code] | |
include/OptBaQNewton.h [code] | |
include/OptBCEllipsoid.h [code] | |
include/OptBCFDNewton.h [code] | |
include/OptBCNewton.h [code] | |
include/OptBCNewtonLike.h [code] | |
include/OptBCQNewton.h [code] | |
include/OptCG.h [code] | |
include/OptConstrFDNewton.h [code] | |
include/OptConstrNewton.h [code] | |
include/OptConstrNewtonLike.h [code] | |
include/OptConstrQNewton.h [code] | |
include/OptDHNIPS.h [code] | |
include/OptDirect.h [code] | |
include/OptFDNewton.h [code] | |
include/OptFDNIPS.h [code] | |
include/OptGSS.h [code] | |
include/OptLBFGS.h [code] | |
include/OptNewton.h [code] | |
include/OptNewtonLike.h [code] | |
include/OptNIPS.h [code] | |
include/OptNIPSLike.h [code] | |
include/OptNPSOL.h [code] | |
include/OptPDS.h [code] | |
include/OptppArray.h [code] | |
include/OptppExceptions.h [code] | |
include/OptppFatalError.h [code] | |
include/OptppSmartPtr.h [code] | |
include/OptQNewton.h [code] | |
include/OptQNIPS.h [code] | |
include/pds.h [code] | |
include/PDSProblem.h [code] | |
include/precisio.h [code] | |
include/Problem.h [code] | |
include/proto.h [code] | |
include/solution.h [code] | |
include/tmt.h [code] | |
include/TOLS.h [code] | |
include/VariableList.h [code] | |
include/fastlib/fastlib.h [code] | |
include/fastlib/base/ansi_colors.h [code] | |
include/fastlib/base/base.h [code] | |
include/fastlib/base/basic_types.h [code] | |
include/fastlib/base/cc.h [code] | |
include/fastlib/base/ccmem.h [code] | |
include/fastlib/base/common.h [code] | |
include/fastlib/base/compiler.h [code] | |
include/fastlib/base/debug.h [code] | |
include/fastlib/base/deprecated.h [code] | |
include/fastlib/base/fortran.h [code] | |
include/fastlib/base/otrav.h [code] | |
include/fastlib/base/test.h [code] | |
include/fastlib/col/arraylist.h [code] | |
include/fastlib/col/col_string.h [code] | |
include/fastlib/col/fastalloc.h [code] | |
include/fastlib/col/heap.h [code] | |
include/fastlib/col/intmap.h [code] | |
include/fastlib/col/queue.h [code] | |
include/fastlib/col/rangeset.h [code] | |
include/fastlib/data/crossvalidation.h [code] | |
include/fastlib/data/dataset.h [code] | |
include/fastlib/file/textfile.h [code] | |
include/fastlib/fx/datanode.h [code] | |
include/fastlib/fx/fx.h [code] | |
include/fastlib/fx/stopwatch.h [code] | |
include/fastlib/la/la.h [code] | |
include/fastlib/la/matrix.h [code] | |
include/fastlib/la/uselapack.h [code] | |
include/fastlib/math/discrete.h [code] | |
include/fastlib/math/geometry.h [code] | |
include/fastlib/math/kernel.h [code] | |
include/fastlib/math/math_lib.h [code] | |
include/fastlib/math/statistics.h [code] | |
include/fastlib/optimization/contrib/optimizers.h [code] | |
include/fastlib/optimization/lbfgs/lbfgs.h [code] | |
include/fastlib/optimization/lbfgs/optimization_utils.h [code] | |
include/fastlib/optimization/optpp/optimizer.h [code] | |
include/fastlib/par/grain.h [code] | |
include/fastlib/par/task.h [code] | |
include/fastlib/par/thread.h [code] | |
include/fastlib/tree/bounds.h [code] | |
include/fastlib/tree/kdtree.h [code] | |
include/fastlib/tree/spacetree.h [code] | |
include/fastlib/tree/statistic.h [code] | |
mlpack/allkfn/allkfn.h [code] | Defines AllNN class to perform all-nearest-neighbors on two specified data sets |
mlpack/allkfn/main.cc [code] | |
mlpack/allknn/allknn.h [code] | Defines AllNN class to perform all-nearest-neighbors on two specified data sets |
mlpack/allknn/main.cc [code] | |
mlpack/allnn/allnn.h [code] | |
mlpack/allnn/main.cc [code] | |
mlpack/build/CMakeFiles/CompilerIdC/CMakeCCompilerId.c [code] | |
mlpack/disk_allnn/disk_allnn.h [code] | |
mlpack/disk_allnn/main.cc [code] | |
mlpack/fastica/fastica.h [code] | FastICA Algorithm |
mlpack/fastica/fastica_main.cc [code] | Demonstrates usage of fastica.h |
mlpack/fastica/lin_alg.h [code] | Linear algebra utilities |
mlpack/hmm/discreteDST.cc [code] | |
mlpack/hmm/discreteDST.h [code] | |
mlpack/hmm/discreteHMM.cc [code] | This file contains the implementation of functions in discreteHMM.h |
mlpack/hmm/discreteHMM.h [code] | This file contains functions of a discrete Hidden Markov Models (in C) and a wrapper class (in C++) for these functions |
mlpack/hmm/gaussianHMM.cc [code] | This file contains the implementation of functions in gaussianHMM.h |
mlpack/hmm/gaussianHMM.h [code] | This file contains functions of a Gaussian Hidden Markov Models |
mlpack/hmm/generate.cc [code] | This file contains the program to generate sequences from a Hidden Markov Model |
mlpack/hmm/loglik.cc [code] | This file contains the program to compute log-likelihood of sequences according to a Hidden Markov Model |
mlpack/hmm/mixgaussHMM.cc [code] | This file contains the implementation of functions in mixgaussHMM.h |
mlpack/hmm/mixgaussHMM.h [code] | |
mlpack/hmm/mixtureDST.cc [code] | This file contains implementation of functions in mixtureDST.h |
mlpack/hmm/mixtureDST.h [code] | This file contains the class represent a mixture of Gaussian distribution It maintains the priori cluster probabilities, means and covariance matrices of Gaussian cluters in the mixture |
mlpack/hmm/support.cc [code] | |
mlpack/hmm/support.h [code] | |
mlpack/hmm/train.cc [code] | This file contains the program to estimate Hidden Markov Model parameter using training sequences |
mlpack/hmm/viterbi.cc [code] | This file contains the program to compute the most probable state sequences in a Hidden Markov Model of given sequences Model |
mlpack/infomax_ica/infomax_ica.cc [code] | |
mlpack/infomax_ica/infomax_ica.h [code] | |
mlpack/infomax_ica/main.cc [code] | |
mlpack/infomax_ica/test_infomax_ica.h [code] | |
mlpack/infomax_ica/test_main.cc [code] | |
mlpack/kalman/kalman.cc [code] | |
mlpack/kalman/kalman.h [code] | This file contains two functions that computer the Time update and Measurement update steps associated with the time-invariant kalman filter |
mlpack/kalman/kalman_helper.cc [code] | |
mlpack/kalman/kalman_helper.h [code] | This contains helper functions which are repeatedly used |
mlpack/kalman/kalman_main.cc [code] | This file contains a sample demo of a time-invariant kalman filter at work |
mlpack/kde/bandwidth_lscv.h [code] | |
mlpack/kde/dataset_scaler.h [code] | This file contains utility functions to scale the given query and reference dataset pair |
mlpack/kde/dualtree_kde.h [code] | This file contains an implementation of kernel density estimation for a linkable library component |
mlpack/kde/dualtree_kde_common.h [code] | |
mlpack/kde/dualtree_kde_cv.h [code] | This file contains an implementation of the fixed bandwidth cross-validation score computer for kernel density estimation for a linkable library component |
mlpack/kde/dualtree_kde_cv_common.h [code] | |
mlpack/kde/dualtree_kde_main.cc [code] | Driver file for dualtree KDE algorithm |
mlpack/kde/dualtree_vkde.h [code] | This file contains an implementation of the variable-bandwidth kernel density estimation for a linkable library component |
mlpack/kde/fft_kde.h [code] | This file contains an implementation of kernel density estimation using multidimensional fast Fourier transform for a linkable library component |
mlpack/kde/fft_kde_main.cc [code] | Driver for FFT based KDE algorithm |
mlpack/kde/fgt_kde.h [code] | This file contains an implmentation of kernel density estimation using multidimensional version of the original fast Gauss transform for a linkable library component |
mlpack/kde/fgt_kde_main.cc [code] | Driver for the fast Gauss transform based KDE algorithm |
mlpack/kde/gen_metric_tree.h [code] | |
mlpack/kde/general_spacetree.h [code] | Generalized space partitioning tree |
mlpack/kde/inverse_normal_cdf.h [code] | |
mlpack/kde/kde_bandwidth_cv_main.cc [code] | Driver file for bandwidth optimizer for KDE |
mlpack/kde/kde_cv_stat.h [code] | |
mlpack/kde/kde_stat.h [code] | |
mlpack/kde/naive_kde.h [code] | This file contains an implementation of the naive KDE algorithm |
mlpack/kde/original_ifgt.h [code] | Revision: 0.99 Date : Mon Jul 8 18:11:31 EDT 2002 |
mlpack/kde/original_ifgt_main.cc [code] | Driver for the original improved fast Gauss transform algorithm |
mlpack/kernel_pca/kernel_pca.h [code] | Nvasil@ieee.org |
mlpack/mog/math_functions.h [code] | |
mlpack/mog/mog_em.cc [code] | |
mlpack/mog/mog_em.h [code] | |
mlpack/mog/mog_em_main.cc [code] | |
mlpack/mog/mog_l2e.cc [code] | |
mlpack/mog/mog_l2e.h [code] | |
mlpack/mog/mog_l2e_main.cc [code] | |
mlpack/mog/phi.h [code] | |
mlpack/mvu/main.cc [code] | |
mlpack/mvu/mvu_objectives.h [code] | |
mlpack/naive_bayes/math_functions.h [code] | |
mlpack/naive_bayes/nbc_main.cc [code] | |
mlpack/naive_bayes/phi.h [code] | |
mlpack/naive_bayes/simple_nbc.h [code] | |
mlpack/naive_bayes/test_simple_nbc_main.cc [code] | |
mlpack/quicsvd/cosine_tree.cc [code] | |
mlpack/quicsvd/cosine_tree.h [code] | This file implement the CosineNode class which holds a list of columns of an original matrix |
mlpack/quicsvd/kernel_matrix_generator.cc [code] | |
mlpack/quicsvd/kernel_matrix_generator.h [code] | |
mlpack/quicsvd/quicsvd.cc [code] | This file implements QuicSVD class |
mlpack/quicsvd/quicsvd.h [code] | This file implements the interface of QuicSVD class It approximate the original matrix by another matrix with smaller dimension to a certain degree specified by the user and then make SVD decomposition in the projected supspace |
mlpack/quicsvd/quicsvd_main.cc [code] | This file implements command line interface for the QUIC-SVD method |
mlpack/range_search/data_aux.h [code] | |
mlpack/range_search/naive_ortho_range_search.h [code] | This file contains an implementation of a naive algorithm for orthogonal range search |
mlpack/range_search/ortho_range_search.h [code] | This file contains an implementation of a tree-based algorithm for orthogonal range search |
mlpack/range_search/ortho_range_search_main.cc [code] | A test driver for the orthogonal range search code |
mlpack/regression/dataset_preprocess.cc [code] | |
mlpack/regression/ridge_main.cc [code] | |
mlpack/regression/ridge_regression.h [code] | |
mlpack/regression/ridge_regression_util.h [code] | |
mlpack/series_expansion/bounds_aux.h [code] | |
mlpack/series_expansion/farfield_expansion.h [code] | This file contains a templatized class implementing $O(D^p)$ expansion for computing the coefficients for a far-field expansion for an arbitrary kernel function |
mlpack/series_expansion/inverse_pow_dist_kernel.h [code] | |
mlpack/series_expansion/inverse_pow_dist_kernel_aux.h [code] | |
mlpack/series_expansion/kernel_aux.h [code] | The header file for the class for computing auxiliary stuffs for the kernel functions (derivative, truncation error bound) |
mlpack/series_expansion/local_expansion.h [code] | This file contains a templatized class implementing $O(D^p)$ expansion for computing the coefficients for a local expansion for an arbitrary kernel function |
mlpack/series_expansion/main.cc [code] | |
mlpack/series_expansion/mult_farfield_expansion.h [code] | This file contains a templatized class implementing $O(p^D)$ expansion for computing the coefficients for a far-field expansion for a arbitrary multiplicative kernel function |
mlpack/series_expansion/mult_local_expansion.h [code] | |
mlpack/series_expansion/mult_series_expansion_aux.h [code] | |
mlpack/series_expansion/series_expansion_aux.cc [code] | |
mlpack/series_expansion/series_expansion_aux.h [code] | |
mlpack/svm/smo.h [code] | |
mlpack/svm/svm.h [code] | |
mlpack/svm/svm_main.cc [code] | |
util/sample.cc [code] | Useful for taking random samples of datasets |