GlobOptBernstein

Constrained global optimization using parallelized Bernstein algorithm.

Requirements

To run the files in this repository, you will need the following:

CUDA in the correct version compatible with your MATLAB version. For more information, please refer to https://www.mathworks.com/help/parallel-computing/gpu-support-by-release.html;jsessionid=165811ee071d12a1e7413420a560
MATLAB Parallel Computing Toolbox

run run_benchmark_evaluation.m and run_benchmark_evaluation_P7.m to generate and save results for section V.B Benchmark Evaluation.
run Benchmark_Evaluation/analyze_benchmark_results.m to generate plots of results for section V.B Benchmark Evaluation.
run run_increasing_constraints_problems.m for section section V.C to generate and save results in section V.C Increasing Constraint Problems.
run increasing_constraints/analyze_increasing_constraints_results.m to generate plots of results for section V.C Increasing Constraint Problems.
run hardware_demo/analyze_PCBA_hardware_demo_results.m to generate plots of results for section VI.
if you want the raw hardware data, please send an email to Shreyas Kousik

Bohao Zhang

Shreyas Kousik

ROAHM LAB University of Michigan

Name		Name	Last commit message	Last commit date
Latest commit History 89 Commits
Benchmark_Evaluation		Benchmark_Evaluation
DIRECT		DIRECT
benchmark_evaluation		benchmark_evaluation
hardware_demo		hardware_demo
helper_functions		helper_functions
increasing_constraints		increasing_constraints
problem_matrix		problem_matrix
psols		psols
sdps		sdps
sols		sols
src		src
.gitignore		.gitignore
README.md		README.md
ba_1D_example.m		ba_1D_example.m
ba_1D_example_no_constraints.m		ba_1D_example_no_constraints.m
estimateMemory.m		estimateMemory.m
example.m		example.m
run_benchmark_evaluation.m		run_benchmark_evaluation.m
run_benchmark_evaluation_P7.m		run_benchmark_evaluation_P7.m
run_increasing_constraints_problems.m		run_increasing_constraints_problems.m