pi4u | High Performance Framework for Bayesian Uncertainty

pi4u is a C library. pi4u has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

you will find the following software packages:. b) run the engine ./engine_tmcmc. by default, this runs tmcmc for the rosenbrock function in 2d, as defined in fitfun.c this is expected to run and produce some output files (curgen_db_000.txt, curgen_db_001.txt, ...). the output files can be visualized with the display_gen tool, available in the display directory, using the following command: ./display_gen curgen_db 5 2 5: number of the last generation (curgen_db_000.txt to curgen_db_005.txt will be displayed) 2: problem dimension. a) build the engine_cmaes. b) run the engine ./engine_cmaes. optimization of the rosenbrock function in 2d. more information about the generated output files can be found in the documentation of cmaes. a) build the two engines. b) run engine_ss1 ./engine_ss1. subset simulation for predefined levels this is expected to run and produce some output files (samples_000.txt etc). the output files can be displayed with the display_gen tool, using the following command: ./display_gen samples 8 2 8: number of the last generation (samples_000.txt to samples_008.txt will be displayed) 2: problem dimension. the runtime options for this engine can be set in the configuration file