File List

Here is a list of all documented files with brief descriptions:

ackley.m
bayesopt.h	BayesOpt wrapper for C interface
bayesopt.hpp	BayesOpt main C++ interface
bayesoptbase.cpp
bayesoptbase.hpp	BayesOpt common module for interfaces
bayesoptcatmex.c
bayesoptcont.cpp
bayesoptcont.m
bayesoptdisc.cpp
bayesoptdisc.m
bayesoptdiscmex.c
bayesoptextras.h	Helper functions to Matlab/Octave wrappers
bayesoptmex.c
bayesoptmodule.py	BayesOpt wrapper for Python interface (OOP)
bayesoptwpr.cpp
bo_branin.cpp
bo_branin_display.cpp
bo_branin_mcmc.cpp
bo_branin_timed.cpp
bo_camelback.cpp
bo_compare.cpp
bo_cont.cpp
bo_disc.cpp
bo_display.cpp
bo_hartmann.cpp
bo_oned.cpp
bopt_state.cpp
bopt_state.hpp	Representation of a optimization state
boundingbox.hpp	Module for box constrain management
branin.m
branin_system_calls.cpp
branin_xml.cpp
braninhighdim.m
camelback.m
CMakeCCompilerId.c
CMakeCXXCompilerId.cpp
compile_matlab.m
compile_octave.m
conditionalbayesprocess.cpp
conditionalbayesprocess.hpp	Kernel based nonparametric process, conditional on kernel hyperparameters
criteria_a_opt.hpp	A-optimality (uncertainty) based criteria
criteria_combined.hpp	Abstract module for combined criteria
criteria_distance.hpp	Cost for selecting distant points
criteria_ei.hpp	Expected improvement based criteria
criteria_expected.hpp	Criterion based on the expected value of the function
criteria_functors.cpp
criteria_functors.hpp	Abstract and factory modules for criteria
criteria_hedge.cpp
criteria_hedge.hpp	Portfolio selection of criteria based on Hedge algorithm
criteria_lcb.hpp	Lower confidence bound based criteria
criteria_mi.hpp
criteria_poi.hpp	Probability of improvement
criteria_prod.hpp	Product of multiple criteria
criteria_sum.hpp	Sum of multiple criteria
criteria_thompson.hpp	Thompson and optimistic sampling criteria
dataset.cpp
dataset.hpp	Dataset model
demo_cam.py
demo_dimscaling.py
demo_distance.py
demo_multiprocess.py
demo_quad.py
demo_rembo.m
demo_test.m
displaygp.cpp
displaygp.hpp	Plots the evolution (nonparametric process, criteria or contour plots) of 1D and 2D problems
dll_stuff.h
eval_branin.py
eval_branin_xml.py
feature_tests.c
feature_tests.cxx
fileparser.cpp
fileparser.hpp	Functions to write and parse data files
gauss_distribution.cpp
gauss_distribution.hpp	Gaussian probability distribution
gaussian_process.cpp
gaussian_process.hpp	Standard zero mean gaussian process with noisy observations
gaussian_process_hierarchical.cpp
gaussian_process_hierarchical.hpp	Hierarchical model for Gaussian process
gaussian_process_ml.cpp
gaussian_process_ml.hpp	Gaussian process with ML parameters
gaussian_process_normal.cpp
gaussian_process_normal.hpp	Gaussian process with normal prior on the parameters
gpmlnlopt.m
gpmltest.m
gridsampling.hpp	Regular grid sampling
hartmann.m
indexvector.hpp	Generators for index vectors
inneroptimization.cpp
inneroptimization.hpp	C++ wrapper of the NLOPT library
kernel_atomic.hpp	Atomic (simple) kernel functions
kernel_combined.hpp	Kernel functions that combine other kernels
kernel_const.hpp
kernel_functors.cpp
kernel_functors.hpp	Kernel (covariance) functions
kernel_gaussian.hpp
kernel_hamming.hpp
kernel_linear.hpp
kernel_matern.hpp
kernel_polynomial.hpp
kernel_prod.hpp
kernel_rq.hpp
kernel_sum.hpp
kernelregressor.cpp
kernelregressor.hpp	Nonparametric process abstract module
langermann.m
lhs.hpp	Latin Hypercube Sampling
log.hpp	Modules and helper macros for logging
mcmc_sampler.cpp
mcmc_sampler.hpp	Markov Chain Monte Carlo algorithms
mean_atomic.hpp	Atomic (simple) parametric functions
mean_combined.hpp	Parametric functions that combine other functions
mean_functors.cpp
mean_functors.hpp	Mean (parametric) functions
michalewicz.m
nei.m
neinlopt.m
nonparametricprocess.cpp
nonparametricprocess.hpp	Abstract module for a Bayesian regressor
optimizable.hpp	Abstract class for optimizable objects
param_loader.cpp
param_loader.hpp	Allows to load parameters from file
parameters.cpp
parameters.h	Parameter definitions
parameters.hpp	Parameter definitions
parser.cpp
parser.hpp	Functions to parse strings
posterior_empirical.cpp
posterior_empirical.hpp
posterior_fixed.cpp
posterior_fixed.hpp	Posterior model based on fixed kernel parameters
posterior_mcmc.cpp
posterior_mcmc.hpp	Posterior distribution on GPs based on MCMC over kernel parameters
posteriormodel.cpp
posteriormodel.hpp	Abstract interface for posterior model/criteria
prob_distribution.hpp	Interface for probability models
quadratic.m
randgen.hpp	Boost types for random number generation
readlog.m
rosenbrock.m
specialtypes.hpp	Boost vector and matrix types
student_t_distribution.cpp
student_t_distribution.hpp	Student's t probability distribution
student_t_process_jef.cpp
student_t_process_jef.hpp	Student T process with Jeffreys priors
student_t_process_nig.cpp
student_t_process_nig.hpp	Student's t process with Normal-Inverse-Gamma hyperprior on mean and signal variance parameters
testfunctions.hpp
ublas_cholesky.hpp	Cholesky decomposition
ublas_elementwise.hpp	Elementwise operations for ublas vector/matrix
ublas_extra.cpp
ublas_extra.hpp	Extra functions for Ublas library
ublas_trace.hpp