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文件名称:UQ-PyL_Linux.tar

  • 所属分类：
    Data Mining
  • 标签属性：
    [PDF]
  • 上传时间：
    2015-11-09
  • 文件大小：
    11.42mb
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    0次
  • 提 供 者：
    东***
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介绍说明－－下载内容来自于网络，使用问题请自行百度

优化计算程序包,适用于水文及生态模型的优化计算及参数校准。-Uncertainty quantification (UQ) refers to quantitative characterization and reduction of uncertainties present in computer model simulations. It is widely used in engineering and geophysics fields to assess and predict the likelihood of various outcomes. We have a newly developed UQ platform called UQ-PyL (Uncertainty Quantification Python Laboratory).
(系统自动生成,下载前可以参看下载内容)

下载文件列表

UQ-PyL_Linux/
UQ-PyL_Linux/CONTRIBUTING.md
UQ-PyL_Linux/images/
UQ-PyL_Linux/images/buttonA.png
UQ-PyL_Linux/images/buttonB.png
UQ-PyL_Linux/images/buttonC.png
UQ-PyL_Linux/images/close.png
UQ-PyL_Linux/images/contentBg.png
UQ-PyL_Linux/images/desk.ico
UQ-PyL_Linux/images/editcopy.png
UQ-PyL_Linux/images/editcut.png
UQ-PyL_Linux/images/editpaste.png
UQ-PyL_Linux/images/editredo.png
UQ-PyL_Linux/images/editundo.png
UQ-PyL_Linux/images/exportpdf.png
UQ-PyL_Linux/images/filenew.png
UQ-PyL_Linux/images/fileopen.png
UQ-PyL_Linux/images/fileprint.png
UQ-PyL_Linux/images/filesave.png
UQ-PyL_Linux/images/iconA.png
UQ-PyL_Linux/images/iconB.png
UQ-PyL_Linux/images/iconDown.png
UQ-PyL_Linux/images/iconSelect.png
UQ-PyL_Linux/images/iconUp.png
UQ-PyL_Linux/images/menu1.png
UQ-PyL_Linux/images/menu2.png
UQ-PyL_Linux/images/menuBg.png
UQ-PyL_Linux/images/scrollD.png
UQ-PyL_Linux/images/scrollM.png
UQ-PyL_Linux/images/scrollT.png
UQ-PyL_Linux/images/splash.png
UQ-PyL_Linux/images/tabBg.png
UQ-PyL_Linux/images/tabOnBg.png
UQ-PyL_Linux/images/titleBg.png
UQ-PyL_Linux/images/title_icon.bmp
UQ-PyL_Linux/images/title_icon.png
UQ-PyL_Linux/images/UQLab-˵\303\367.jpg
UQ-PyL_Linux/Example/
UQ-PyL_Linux/Example/Readme.txt
UQ-PyL_Linux/Example/Sobol_G_Optimization.py
UQ-PyL_Linux/Example/Sobol_G_DoE.py
UQ-PyL_Linux/Example/Sobol_G_SA.py
UQ-PyL_Linux/Example/Sobol_G_Surrogate.py
UQ-PyL_Linux/Example/Sobol_G_UA.py
UQ-PyL_Linux/LICENSE.md
UQ-PyL_Linux/python-example.py
UQ-PyL_Linux/main.pyw
UQ-PyL_Linux/Reference/
UQ-PyL_Linux/Reference/Delta_1.pdf
UQ-PyL_Linux/Reference/Delta_2.pdf
UQ-PyL_Linux/Reference/DGSM.pdf
UQ-PyL_Linux/Reference/FAST_1.pdf
UQ-PyL_Linux/Reference/FAST_2.pdf
UQ-PyL_Linux/Reference/Morris_1.pdf
UQ-PyL_Linux/Reference/Morris_2.pdf
UQ-PyL_Linux/Reference/Sobol'_1.pdf
UQ-PyL_Linux/Reference/Sobol'_2.pdf
UQ-PyL_Linux/Reference/Sobol'_3.pdf
UQ-PyL_Linux/textedit.pyw
UQ-PyL_Linux/UQ/
UQ-PyL_Linux/UQ/DoE/
UQ-PyL_Linux/UQ/DoE/box_behnken.py
UQ-PyL_Linux/UQ/DoE/CC.py
UQ-PyL_Linux/UQ/DoE/central_composite.py
UQ-PyL_Linux/UQ/DoE/F1.py
UQ-PyL_Linux/UQ/DoE/F2.py
UQ-PyL_Linux/UQ/DoE/fast_sampler.py
UQ-PyL_Linux/UQ/DoE/faure.py
UQ-PyL_Linux/UQ/DoE/ff2n.py
UQ-PyL_Linux/UQ/DoE/finite_diff.py
UQ-PyL_Linux/UQ/DoE/frac_fact.py
UQ-PyL_Linux/UQ/DoE/full_fact.py
UQ-PyL_Linux/UQ/DoE/GH.py
UQ-PyL_Linux/UQ/DoE/GL.py
UQ-PyL_Linux/UQ/DoE/GLP.py
UQ-PyL_Linux/UQ/DoE/GP.py
UQ-PyL_Linux/UQ/DoE/halton.py
UQ-PyL_Linux/UQ/DoE/hammersley.py
UQ-PyL_Linux/UQ/DoE/ihs.py
UQ-PyL_Linux/UQ/DoE/joe-kuo-6.21000
UQ-PyL_Linux/UQ/DoE/LG.py
UQ-PyL_Linux/UQ/DoE/lhs.py
UQ-PyL_Linux/UQ/DoE/monte_carlo.py
UQ-PyL_Linux/UQ/DoE/morris_oat.py
UQ-PyL_Linux/UQ/DoE/normal.py
UQ-PyL_Linux/UQ/DoE/plackett_burman.py
UQ-PyL_Linux/UQ/DoE/saltelli.py
UQ-PyL_Linux/UQ/DoE/sobol.py
UQ-PyL_Linux/UQ/DoE/symmetric_LH.py
UQ-PyL_Linux/UQ/DoE/_design.pyd
UQ-PyL_Linux/UQ/DoE/__init__.py
UQ-PyL_Linux/UQ/DoE/__main__.py
UQ-PyL_Linux/UQ/analyze/
UQ-PyL_Linux/UQ/analyze/confidence.py
UQ-PyL_Linux/UQ/analyze/delta.py
UQ-PyL_Linux/UQ/analyze/correlations.py
UQ-PyL_Linux/UQ/analyze/dgsm.py
UQ-PyL_Linux/UQ/analyze/extended_fast.py
UQ-PyL_Linux/UQ/analyze/hypothesis.py
UQ-PyL_Linux/UQ/analyze/moments.py
UQ-PyL_Linux/UQ/analyze/morris.py
UQ-PyL_Linux/UQ/analyze/sobol_analyze.py
UQ-PyL_Linux/UQ/analyze/sobol_svm.py
UQ-PyL_Linux/UQ/analyze/__init__.py
UQ-PyL_Linux/UQ/analyze/__main__.py
UQ-PyL_Linux/UQ/optimization/
UQ-PyL_Linux/UQ/optimization/ASMO.py
UQ-PyL_Linux/UQ/optimization/emcee/
UQ-PyL_Linux/UQ/optimization/emcee/autocorr.py
UQ-PyL_Linux/UQ/optimization/emcee/ensemble.py
UQ-PyL_Linux/UQ/optimization/emcee/interruptible_pool.py
UQ-PyL_Linux/UQ/optimization/emcee/mh.py
UQ-PyL_Linux/UQ/optimization/emcee/mpi_pool.py
UQ-PyL_Linux/UQ/optimization/emcee/ptsampler.py
UQ-PyL_Linux/UQ/optimization/emcee/sampler.py
UQ-PyL_Linux/UQ/optimization/emcee/tests.py
UQ-PyL_Linux/UQ/optimization/emcee/utils.py
UQ-PyL_Linux/UQ/optimization/emcee/__init__.py
UQ-PyL_Linux/UQ/optimization/DDS.py
UQ-PyL_Linux/UQ/optimization/examples/
UQ-PyL_Linux/UQ/optimization/examples/blobs.py
UQ-PyL_Linux/UQ/optimization/examples/harlemcmc.py
UQ-PyL_Linux/UQ/optimization/examples/eggbox.py
UQ-PyL_Linux/UQ/optimization/examples/ipython_parallel.py
UQ-PyL_Linux/UQ/optimization/examples/line.py
UQ-PyL_Linux/UQ/optimization/examples/loadbalance.py
UQ-PyL_Linux/UQ/optimization/examples/mpi.py
UQ-PyL_Linux/UQ/optimization/examples/quickstart.py
UQ-PyL_Linux/UQ/optimization/examples/rosenbrock.py
UQ-PyL_Linux/UQ/optimization/examples/simple.py
UQ-PyL_Linux/UQ/optimization/examples/subprocessing.py
UQ-PyL_Linux/UQ/optimization/GA.py
UQ-PyL_Linux/UQ/optimization/MCMC.py
UQ-PyL_Linux/UQ/optimization/PSO.py
UQ-PyL_Linux/UQ/optimization/pyevolve/
UQ-PyL_Linux/UQ/optimization/pyevolve/Consts.py
UQ-PyL_Linux/UQ/optimization/pyevolve/Crossovers.py
UQ-PyL_Linux/UQ/optimization/pyevolve/DBAdapters.py
UQ-PyL_Linux/UQ/optimization/pyevolve/FunctionSlot.py
UQ-PyL_Linux/UQ/optimization/pyevolve/G1DBinaryString.py
UQ-PyL_Linux/UQ/optimization/pyevolve/G1DList.py
UQ-PyL_Linux/UQ/optimization/pyevolve/G2DList.py
UQ-PyL_Linux/UQ/optimization/pyevolve/GAllele.py
UQ-Py

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