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Description
Packages | |
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cern.clhep | A Java port of CLHEP 1.4.0 (C++) - A Class Library for High Energy Physics; still quite incomplete - should probably find a way to take cern.clhep out of this distribution and merge cern.clhep with hep.lcd (SLAC). |
cern.colt | Core base classes; Operations on primitive arrays such as sorting, partitioning and permuting. |
cern.colt.bitvector | Bit vectors and bit matrices. |
cern.colt.buffer | Fixed sized (non resizable) streaming buffers connected to a target objects to which data is automatically flushed upon buffer overflow. |
cern.colt.function | Core interfaces for functions, comparisons and procedures on objects and primitive data types. |
cern.colt.list | Resizable lists holding objects or primitive data types such as int, double, etc. |
cern.colt.list.adapter | List adapters that make Colt lists compatible with the JDK 1.2 Collections Framework. |
cern.colt.map | Automatically growing and shrinking maps holding objects or primitive data types such as int, double, etc. |
cern.colt.matrix | Matrix interfaces and factories; efficient and flexible dense and sparse 1, 2, 3 and d-dimensional matrices holding objects or primitive data types such as int, double, etc; Templated, fixed sized (not dynamically resizable); Also known as multi-dimensional arrays or Data Cubes. |
cern.colt.matrix.bench | Matrix benchmarks. |
cern.colt.matrix.doublealgo | Double matrix algorithms such as print formatting, sorting, partitioning and statistics. |
cern.colt.matrix.impl | Matrix implementations; You normally need not look at this package, because all concrete classes implement the abstract interfaces of cern.colt.matrix , without subsetting or supersetting. |
cern.colt.matrix.linalg | Linear Algebraic matrix computations operating on DoubleMatrix2D
and DoubleMatrix1D . |
cern.colt.matrix.objectalgo | Object matrix algorithms such as print formatting, sorting, partitioning and statistics. |
cern.hep.aida.bin | Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution. |
cern.hep.aida.ref | Reference implementation of the AIDA histogram interfaces. |
cern.jet.math | Tools for basic and advanced mathematics: Arithmetics and Algebra, Polynomials and Chebyshev series, Bessel and Airy functions, Function Objects for generic function evaluation, etc. |
cern.jet.random | Large variety of probability distributions featuring high performance generation of random numbers, CDF's and PDF's. |
cern.jet.random.engine | Engines generating strong uniformly distributed pseudo-random numbers; Needed by all JET probability distributions since they rely on uniform random numbers to generate random numbers from their own distribution. |
cern.jet.random.sampling | Samples (picks) random subsets of data sequences. |
cern.jet.stat | Tools for basic and advanced statistics: Estimators, Gamma functions, Beta functions, Probabilities, Special integrals, etc. |
cern.jet.stat.quantile | Scalable algorithms and data structures to compute approximate quantiles over very large data sequences. |
flanagan.analysis | |
flanagan.integration | |
flanagan.interpolation | |
flanagan.math | |
hep.aida.ref | Reference implementation of AIDA (see documentation). |
hep.aida.ref.dataset | |
hep.aida.ref.dataset.binner | |
hep.aida.ref.event | |
hep.aida.ref.fitter | |
hep.aida.ref.fitter.fitdata | |
hep.aida.ref.fitter.fitmethod | |
hep.aida.ref.function | |
hep.aida.ref.histogram | |
hep.aida.ref.histogram.binner | |
hep.aida.ref.tree | |
hep.aida.ref.tuple | |
jhplot | Main jHepWork graphical package. |
jhplot.fit | Predefined fit functions for the fit panel (HFit). |
jhplot.math | Main jHepWork math package (based on jmathtools). |
jhplot.math.io | IO package for math (based on jmathtools). |
jhplot.regression | jHepWork package for linear regression. |
jhplot.root | Access to ROOT files (based on Tony Johnson's RootHistogramBrowser). |
jhplot.shapes | jHepWork package to draw java 2D primitives |
jhplot.v3d | Main jHepWork 3D geometry package. |
jminhep.cluster | jHepWork package for a cluster analysis. |
org.apache.commons.math | Common classes used throughout the commons-math library. |
org.apache.commons.math.analysis | Implementations of common numerical analysis procedures, including root finding and function interpolation. |
org.apache.commons.math.complex | Complex number type and implementations of complex transcendental functions. |
org.apache.commons.math.distribution | Implementations of common discrete and continuous distributions. |
org.apache.commons.math.fraction | Fraction number type and fraction number formatting. |
org.apache.commons.math.linear | Linear algebra support. |
org.apache.commons.math.random | Random number and random data generators. |
org.apache.commons.math.special | Implementations of special functions such as Beta and Gamma. |
org.apache.commons.math.stat | Data storage, manipulation and summary routines. |
org.apache.commons.math.stat.descriptive | Generic univariate summary statistic objects. |
org.apache.commons.math.stat.descriptive.moment | Summary statistics based on moments. |
org.apache.commons.math.stat.descriptive.rank | Summary statistics based on ranks. |
org.apache.commons.math.stat.descriptive.summary | Other summary statistics. |
org.apache.commons.math.stat.inference | Classes providing hypothesis testing and confidence interval construction. |
org.apache.commons.math.stat.regression | Statistical routines involving multivariate data. |
org.apache.commons.math.util | Convenience routines and common data structures used throughout the commons-math library. |
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