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@ -2,13 +2,13 @@ Metadata-Version: 1.0
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Name: wafo
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Version: 0.11
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Summary: UNKNOWN
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Home-page: http://www.maths.lth.se/matstat/wafo/
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Home-page: http://code.google.com/p/pywafo/
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Author: WAFO-group
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Author-email: wafo@maths.lth.se
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License: GPL
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Description:
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WAFO
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=====
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====
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WAFO is a toolbox Python routines for statistical analysis and simulation of random waves and random loads.
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WAFO is freely redistributable software, see WAFO licence, cf. the GNU General Public License (GPL) and
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contain tools for:
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@ -30,57 +30,37 @@ Description:
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-Kernel density estimation
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-Hidden markov models
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WAFO consists of several modules with short descriptions below.
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The modules SPECTRUM, COVARIANCE, TRANSFORM, WAVEMODELS, and MULTIDIM are
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mainly for oceanographic applications.
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The modules CYCLES, MARKOV, and DAMAGE are mainly for fatigue problems.
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The contents file for each module is shown by typing 'help module-name'
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Type 'help fatigue' for a presentation of all routines related to fatigue.
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WAFO consists of several subpackages and classes with short descriptions below.
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The paths to the modules are initiated by the function 'initwafo'.
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ONEDIM - Data analysis of time series. Example: extraction of
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Classes:
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TimeSeries - Data analysis of time series. Example: extraction of
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turning points, estimation of spectrum and covariance function.
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Estimation transformation used in transformed Gaussian model.
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COVARIANCE - Computation of spectral functions, linear
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CovData - Computation of spectral functions, linear
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and non-linear time series simulation.
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SPECTRUM - Computation of spectral moments and covariance functions, linear
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SpecData - Computation of spectral moments and covariance functions, linear
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and non-linear time series simulation.
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Ex: common spectra implemented, directional spectra,
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bandwidth measures, exact distributions for wave characteristics.
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TRANSFORM - Modelling with linear or transformed Gaussian waves. Ex:
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WAVEMODELS - Models for distributions of wave characteristics found in
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the literature. Ex: parametric models for breaking
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limited wave heights.
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MULTIDIM - Multi-dimensional time series analysis. (Under construction)
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CYCLES - Cycle counting, discretization, and crossings, calculation of
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CyclePairs - Cycle counting, discretization, and crossings, calculation of
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damage. Simulation of discrete Markov chains, switching Markov
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chains, harmonic oscillator. Ex: Rainflow cycles and matrix,
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discretization of loads. Damage of a rainflow count or
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matrix, damage matrix, S-N plot.
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MARKOV - Routines for Markov loads, switching Markov loads, and
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their connection to rainflow cycles.
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DAMAGE - Calculation of damage. Ex: Damage of a rainflow count or
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matrix, damage matrix, S-N plot.
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SIMTOOLS - Simulation of random processes. Ex: spectral simulation,
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simulation of discrete Markov chains, switching Markov
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chains, harmonic oscillator
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STATISTICS - Statistical tools and extreme-value distributions.
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Subpackages:
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TRANSFORM - Modelling with linear or transformed Gaussian waves. Ex:
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STATS - Statistical tools and extreme-value distributions.
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Ex: generation of random numbers, estimation of parameters,
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evaluation of pdf and cdf
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KDETOOLS - Kernel-density estimation.
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MISC - Miscellaneous routines. Ex: numerical integration, smoothing
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spline, binomial coefficient, water density.
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WDEMOS - WAFO demos.
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MISC - Miscellaneous routines.
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DOCS - Documentation of toolbox, definitions. An overview is given
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in the routine wafomenu.
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DATA - Measurements from marine applications.
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PAPERS - Commands that generate figures in selected scientific
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publications.
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SOURCE - Fortran and C files. Information on compilation.
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EXEC - Executable files (cf. SOURCE), pre-compiled for Solaris,
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Alpha-Dec or Windows.
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WAFO homepage: <http://www.maths.lth.se/matstat/wafo/>
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On the WAFO home page you will find:
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@ -90,3 +70,10 @@ Description:
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- List of publications related to WAFO.
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Platform: UNKNOWN
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Classifier: Development Status :: 4 - Beta
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Classifier: Intended Audience :: Education
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Classifier: Intended Audience :: Science/Research
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Classifier: License :: OSI Approved :: GNU General Public License (GPL)
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Classifier: Operating System :: Microsoft :: Windows
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Classifier: Programming Language :: Python :: 2.6
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Classifier: Topic :: Scientific/Engineering :: Mathematics
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Per.Andreas.Brodtkorb
15 years ago