GAIL is a suite of algorithms for integration problems in one, many, and infinite dimensions, and whose answers are guaranteed to be correct.
Cite As
GAIL (2019). Guaranteed Automatic Integration Library (https://www.github.com/GailGithub/GAIL_Dev), GitHub. Retrieved .
Comments and Ratings (3)
Updates
| 2.2.0.0 | fix download problem |
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| 2.2.0.0 | edit |
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| 2.2.0.0 | edit branch |
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| 2.2.0.0 | edit name |
MATLAB Release Compatibility
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Algorithms
Algorithms/+gail
Algorithms/+gail/+domain_balls_spheres
Algorithms/ApproximationOptimization
Algorithms/DeprecatedAlgorithms
Algorithms/IntegrationExpectation
Algorithms/OptionPricing
Algorithms/RandomObjectGeneration
Documentation
OutputFiles
OutputFiles/MCQMC2012PaperOutput
OutputFiles/MC_StoppingCriteriaOutput
OutputFiles/Paper_cubBayesLattice_g
OutputFiles/Paper_cubLattice_g
OutputFiles/Paper_cubSobol_g
OutputFiles/TraubPaperOutput
OutputFiles/WorkoutFunappxOutput
OutputFiles/WorkoutIntegralOutput
Papers
Papers/LinearFunctionals
Papers/MCQMC2012Paper
Papers/MC_StoppingCriteria
Papers/OldPapers
Papers/OldPapers/ConesNotBallsPaper
Papers/Paper_cubBayesLattice_g
Papers/Paper_cubLattice_g
Papers/Paper_cubSobol_g
Papers/Paper_integral_g
Papers/Theses
Papers/Theses/DaLiThesis
Papers/Theses/LanJiangThesis
Papers/Theses/LluisAntoniJimenezThesis
Papers/Theses/XiaoyangZhaoThesis
Papers/Theses/XinTongThesis
Papers/Theses/XuanZhouThesis
Papers/Theses/YizhiZhangThesis
Papers/Theses/YuhanDingThesis
Papers/TraubPaper
Tests
ThirdParty/doctest-for-matlab
ThirdParty/doctest-for-matlab/doc
Workouts
Workouts/Workout_cubLattice_g
Workouts/Workout_cubSobol_g
Workouts/cubMC_g_workouts
Workouts/meanMC_g_workouts
Workouts/univariate_approximation_workouts
Workouts/univariate_integration_workouts
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Alexander Geiger (view profile)
Very nice. This toolbox was very helpful!!
Jan (view profile)
Sorry, the interface for comments have deleted my first comment at posting the 2nd one. Here the first part again:
Please post a clear description of what your tool does. Currently a visitor of the FileExchange has to download a large set of functions, read some instructions and papers and run tests to understand, what the purpose is. And if it is not useful, the toolbox must be uninstalled. It is more efficient, if you provide the details directly: Which kind of problems are solved by your tool and who should download it? Thanks.
Jan (view profile)
Addendum: Even the README.txt and the files in the Documentation folder do not reveal the purpose of this tool, but mainly the installation process, the authors and the related papers. Do I really have to read 19 papers before I can estimate, if these tools are related to my work in any way? This question will be trivial for an insider and expert, but all others need some clear explanations.