文件列表:

Blackbox (0, 2018-11-30)
Blackbox\Functions (0, 2018-11-30)
Blackbox\Functions\example_problem.m (1109, 2018-11-30)
Blackbox\Functions\example_problem_ME.m (1746, 2018-11-30)
Blackbox\blackbox.m (1197, 2018-11-30)
Blackbox\load_settings.m (3332, 2018-11-30)
Development (0, 2018-11-30)
Development\evaluate_polynomial_u.m (3175, 2018-11-30)
Development\short_eval_pol.m (1327, 2018-11-30)
Evaluation (0, 2018-11-30)
Evaluation\calculate_mean.m (838, 2018-11-30)
Evaluation\calculate_sobol_indices.m (1318, 2018-11-30)
Evaluation\calculate_std.m (1282, 2018-11-30)
Evaluation\evaluate_PCE.m (2352, 2018-11-30)
Examples (0, 2018-11-30)
Examples\ExampleRun.m (2020, 2018-11-30)
Examples\ExampleRunArbitrary.m (2483, 2018-11-30)
Examples\ExampleRunME.m (2475, 2018-11-30)
External (0, 2018-11-30)
External\jsonlab (0, 2018-11-30)
External\jsonlab\AUTHORS.txt (1999, 2018-11-30)
External\jsonlab\ChangeLog.txt (5232, 2018-11-30)
External\jsonlab\LICENSE_BSD.txt (1551, 2018-11-30)
External\jsonlab\examples (0, 2018-11-30)
External\jsonlab\examples\demo_jsonlab_basic.m (6453, 2018-11-30)
External\jsonlab\examples\demo_ubjson_basic.m (6517, 2018-11-30)
External\jsonlab\examples\example1.json (436, 2018-11-30)
External\jsonlab\examples\example2.json (583, 2018-11-30)
External\jsonlab\examples\example3.json (272, 2018-11-30)
External\jsonlab\examples\example4.json (563, 2018-11-30)
External\jsonlab\examples\jsonlab_basictest.matlab (10005, 2018-11-30)
External\jsonlab\examples\jsonlab_selftest.m (995, 2018-11-30)
External\jsonlab\examples\jsonlab_selftest.matlab (4387, 2018-11-30)
External\jsonlab\examples\jsonlab_speedtest.m (675, 2018-11-30)
External\jsonlab\jsonopt.m (977, 2018-11-30)
External\jsonlab\license.txt (1629, 2018-11-30)
External\jsonlab\loadjson.m (16145, 2018-11-30)
... ...

OpenPC is a toolbox for the creation and evaluation of Multi-Element Generalized Polynomial Chaos Expansions When using this toolbox, please cite: Perko, Zoltan, et al. "Fast and accurate sensitivity analysis of IMPT treatment plans using Polynomial Chaos Expansion." Physics in medicine and biology 61.12 (2016): 4***6. and Van Der Voort, Sebastian, et al. "Robustness recipes for minimax robust optimization in intensity modulated proton therapy for oropharyngeal cancer patients." International Journal of Radiation Oncology* Biology* Physics 95.1 (2016): 163-170. QUICK START ---------------- To use OpenPC to make the PCE of a problem two things need to be provided: A settings file and a matlab function to interface with the 'blackbox' Three example settings files are provided in the settings folder. Example_settings.json contains the settings for a simple 4 dimensional problem. As reference for the meaning of the different terms it is suggested to read: Perko, Zoltan, et al. "Fast and accurate sensitivity analysis of IMPT treatment plans using Polynomial Chaos Expansion." Physics in medicine and biology 61.12 (2016): 4***6. Example_settings_arbitrary.json contain the settings for a problem where an arbitrary PDF is defined, which can be found in Multi/PDF/Example_settings_ME.json for the construction of a multi-element Polynomial Chaos Expansion. Each of the settings has an example run in Examples/, first run initOpenPC from the main directory and then run one of the examples. The corresponding blackbox interfaces for the settings and the example runs can be found in Blackbox/Functions NOTATION ---------------- The code has some notation specifications: - functions, variables start with a lower case letter, structures start with a upper case letter. - There are a few shorthands used for easier reading: - N: Number of - u: unique - I: index of - LI: logical index of - i: i-th element of (used in iterations) For example the variable N_dims means: Number of dimensions. These shorthands can also be combined, e.g. N_u_pol_types means the number of unique polynomial types.

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