Math Statistics
Math::BigInt is an arbitrary size integer/float math package. SYNOPSIS use Math::BigInt; # or make it faster: install (optional) Math::BigInt::GMP # and always use (it will fall back to pure Perl if the # GMP library is not installed): # will warn if Math::BigInt::GMP cannot be found...
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Math::Algebra::Symbols is a Symbolic Algebra in Pure Perl. SYNOPSIS Example symbols.pl #!perl -w -I.. use Math::Algebra::Symbols hyper=>1; use Test::Simple tests=>5; ($n, $x, $y) = symbols(qw(n x y)); $a += ($x**8 - 1)/($x-1); $b += sin($x)**2 + cos($x)**2; $c += (sin($n*$x) +...
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Math::Zap::Triangle2 - triangles in 2D space. Synopsis Example t/triangle2.t #_ Triangle ___________________________________________________________ # Test 2d triangles # philiprbrenan@yahoo.com, 2004, Perl License #______________________________________________________________________...
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Math::Zap::Triangle module can build triangles in 3D space. Synopsis Example t/triangle.t #_ Triangle ___________________________________________________________ # Test 3d triangles # philiprbrenan@yahoo.com, 2004, Perl License...
Platforms: *nix
License: Freeware | Size: 63.49 KB | Download (115): Math::Zap::Triangle Download |
Math::Zap::Matrix is a Perl module for 3*3 matrix manipulation. Synopsis Example t/matrix.t #_ Matrix _____________________________________________________________ # Test 3*3 matrices # philiprbrenan@yahoo.com, 2004, Perl License...
Platforms: *nix
License: Freeware | Size: 63.49 KB | Download (189): Math::Zap::Matrix Download |
Math::Zap::Matrix2 is a Perl module for 2*2 matrix manipulation. Synopsis Example t/matrix2.t #_ Matrix _____________________________________________________________ # Test 2*2 matrices # philiprbrenan@yahoo.com, 2004, Perl License...
Platforms: *nix
License: Freeware | Size: 63.49 KB | Download (96): Math::Zap::Matrix2 Download |
Math::Zap::Rectangle is a Perl module that generates rectangles in 3d space. Synopsis Example t/rectangle.t #_ Rectangle __________________________________________________________ # Test 3d rectangles # philiprbrenan@yahoo.com, 2004, Perl License...
Platforms: *nix
License: Freeware | Size: 63.49 KB | Download (98): Math::Zap::Rectangle Download |
Math::BaseCnv is a fast functions to convert between number bases. SYNOPSIS use Math::BaseCnv; # Convert 63 from base-10 (decimal) to base-2 (binary) $binary_63 = cnv( 63, 10, 2 ); BaseCnv provides a few simple functions for converting between arbitrary number bases. It is as fast as I...
Platforms: *nix
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Math::TotalBuilder::Common is a Perl module with common unit sets for building totals. SYNOPSIS use Math::TotalBuilder; use Math::TotalBuilder::Common; # units for 952 pence my %tender = build($Math::TotalBuilder::Common::uk_money_old, 952); This package is just a set of common sets of...
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Statistics::LineFit module least squares line fit, weighted or unweighted. SYNOPSIS use Statistics::LineFit; $lineFit = Statistics::LineFit->new(); $lineFit->setData (@xValues, @yValues) or die "Invalid data"; ($intercept, $slope) = $lineFit->coefficients(); defined $intercept or die...
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Math Objects is a math template library written in C++ using generic programming techniques. In order to use the "Math Objects" library, the user only has to include the header files he needs (e.g. Matrix.h, Polynomial.h etc.). In order to compile the library the user needs an ISO/IEC...
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License: Freeware | Size: 286.72 KB | Download (92): Math Objects Download |
Math::Group::Thompson Perl module contains OO methods that calculates the cardinality of the ball of radius n of Thompson group F. SYNOPSIS use Math::Group::Thompson; my $F = Math::Group::Thompson->new( VERBOSE => 0 ); my $card = $F->cardBn(3,); print "#B(3) = $cardn"; The...
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Statistics::SDT Perl package contains signal detection theory measures of sensitivity and response-bias. SYNOPSIS use Statistics::SDT; $sdt = Statistics::SDT->new( { hits => 50, signal_trials => 50, false_alarms => 17, noise_trials => 25, correct => 2, } ); $d =...
Platforms: *nix
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Statistics::OLS is a Perl module to perform ordinary least squares and associated statistics. SYNOPSIS use Statistics::OLS; my $ls = Statistics::OLS->new(); $ls->setData (@xydataset) or die( $ls->error() ); $ls->setData (@xdataset, @ydataset); $ls->regress(); my ($intercept, $slope)...
Platforms: *nix
License: Freeware | Size: 8.19 KB | Download (96): Statistics::OLS Download |
Math::Symbolic::MiscAlgebra contains miscellaneous algebra routines like det(). SYNOPSIS use Math::Symbolic qw/:all/; use Math::Symbolic::MiscAlgebra qw/:all/; # not loaded by Math::Symbolic @matrix = ([x*y, z*x, y*z],[x, z, z],[x, x, y]); $det = det @matrix; @vector = (x, y, z);...
Platforms: *nix
License: Freeware | Size: 102.4 KB | Download (126): Math::Symbolic::MiscAlgebra Download |
Statistics::GaussHelmert is a general weighted least squares estimation module. SYNOPSIS use Statistics::GaussHelmert; # create an empty model my $estimation = new Statistics::GaussHelmert; # setup the model given observations $y, covariance matrices # $Sigma_yy, an initial guess $b0...
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Math::String::Charset::Nested is a charset for Math::String objects. SYNOPSIS use Math::String::Charset; # construct a charset from bigram table, and an initial set (containing # valid start-characters) # Note: After an a, either an b, c or a can follow, in this order # After an d only...
Platforms: *nix
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Math::String::Charset is a simple charset for Math::String objects. SYNOPSIS use Math::String::Charset; $a = new Math::String::Charset; # default a-z $b = new Math::String::Charset [a..z]; # same $c = new Math::String::Charset { start => [a..z], sep => }; # with between chars print...
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Math::Macopt is a Perl wrapper for macopt++, which is a conjugate gradient library. INSTALLATION The package can be installed by the standard PERL module installation procedure: perl Makefile.PL make make test make install Please noted that the original "macopt++" C++ source code is...
Platforms: *nix
License: Freeware | Size: 33.79 KB | Download (94): Math::Macopt Download |
Statistics::LTU is an implementation of Linear Threshold Units. SYNOPSIS use Statistics::LTU; my $acr_ltu = new Statistics::LTU::ACR(3, 1); # 3 attributes, scaled $ltu->train([1,3,2], $LTU_PLUS); $ltu->train([-1,3,0], $LTU_MINUS); ... print "LTU looks like this:n"; $ltu->print;...
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