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# -*- Mode: Perl -*- |
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# $Basename: Approx.pm $ |
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# $Revision: 1.2 $ |
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# Author : Ulrich Pfeifer |
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# Created On : Wed Oct 25 10:50:38 1995 |
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# Last Modified By: Ulrich Pfeifer |
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# Last Modified On: Tue Mar 3 15:14:30 1998 |
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# Language : Perl |
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# |
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# (C) Copyright 1995,1998, Ulrich Pfeifer |
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# |
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=head1 NAME |
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Math::Approx |
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=head1 METHODS |
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=head2 new (constructor) |
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Math::Approx->new(\&poly, $degree, %data); |
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If the first argument to the constructor is a CODE reference, this is |
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used as the function to iterate over the data. Such a function must |
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take two arguments: The I and the I value. |
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For interpolation with plain polynomials I can be defined as: |
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29
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sub poly { |
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my($n,$x) = @_; |
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return $x ** $n; |
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} |
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34
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If the first argument in the constructor is a FALSE value instead of a |
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CODE reference, then the above plain polynomial I is used as the |
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iterator function. |
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38
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The second argument is the maximum degree which should be used for |
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interpolation. Degrees start with B<0>. |
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41
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The rest of the arguments are treated as pairs of B and B |
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samples which should be approximated. |
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44
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The constructor returns a Math::Approx reference. |
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46
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=head2 approx |
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48
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$approximation->approx(17); |
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50
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The method returns the approximated B value for the B value |
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given as argument. |
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52
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53
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=head2 fit |
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54
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55
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$approximation->fit; |
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56
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57
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Returns the medim square error for the data points. |
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59
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=head2 plot |
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60
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61
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$approximation->plot("tmp/app"); |
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62
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63
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Prints all data pairs and the corresponding approximation pairs into |
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the filename given as argument. The output is suitable for usage with |
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gnuplot(1). |
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67
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68
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=head2 print |
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69
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70
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$approximation->print; |
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72
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Prints information about the approximation on I |
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74
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=head1 EXAMPLE |
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76
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use Math::Approx; |
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78
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sub poly { |
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my($n,$x) = @_; |
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return $x ** $n; |
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} |
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83
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for (1..20) { |
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$x{$_} = sin($_/10)*cos($_/30)+0.3*rand; |
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} |
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86
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87
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$a = new Math::Approx (\&poly, 5, %x); |
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$a->print; |
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$a->plot("math-approx-demo.out"); |
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print "Fit: ", $a->fit, "\n"; |
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92
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=head1 SEE ALSO |
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94
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gnuplot(1). |
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96
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=head1 AUTHOR |
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97
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98
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Ulrich Pfeifer EFE |
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100
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=cut |
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102
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103
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package Math::Approx; |
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1
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1
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15557
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use Math::Matrix; |
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6827
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1
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37
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105
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1
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39
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use 5.004; |
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33
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106
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use strict; |
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49
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107
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use vars qw($VERSION); |
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2
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1
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1073
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108
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109
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# $Format: "$VERSION = sprintf '%5.3f', $ProjectVersion$;"$ |
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$VERSION = sprintf '%5.3f', 0.2; |
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112
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sub new { |
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my $type = shift; |
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my $func = shift || sub {my($n,$x)=@_; $x**$n;}; |
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115
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my $degr = shift; |
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die "Math::Approx->new : invalid degree [$degr]" unless $degr; |
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118
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my %data = @_; |
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0
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die "Math::Approx->new : empty data set" unless %data; |
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120
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121
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0
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my $self = {}; |
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my @m; |
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my @x; |
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125
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$self->{'F'} = $func; # function of two arguments |
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$self->{'N'} = $degr; |
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$self->{'D'} = \%data; |
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129
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0
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for my $x (keys %data) { |
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0
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my $row = []; |
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for my $n (0 .. $degr) { |
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0
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push @{$row}, &{$func}($n, $x); |
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133
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} |
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push @x, $data{$x}; |
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push(@m, $row); |
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} |
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my $I = new Math::Matrix(@m); # $I->print("Initial\n"); |
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my $T = $I->transpose->multiply($I); # $T->print("Quadratic\n"); |
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my $x = new Math::Matrix(\@x); # $x->print("X\n"); |
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my $tx = $I->transpose-> |
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multiply($x->transpose); # $tx->print("TX\n"); |
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0
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my $eq = $T->concat($tx); # $eq->print("EQN\n"); |
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0
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my $s = $eq->solve; # $s->print("SOLUTION\n"); |
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# $T->multiply($s)->print("TEST\n"); |
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$self->{'A'} = $s->transpose->[0]; |
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bless $self, $type; |
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} |
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148
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149
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sub approx { |
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1
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my $self = shift; |
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0
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my $x = shift; |
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0
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my $func = $self->{'F'}; |
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0
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my $degr = $self->{'N'}; |
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0
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my $result; |
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156
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0
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for my $n (0 .. $degr) { |
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0
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$result += &{$func}($n, $x) * $self->{'A'}->[$n]; |
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0
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158
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} |
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160
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0
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$result; |
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} |
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163
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sub fit { |
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0
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my $self = shift; |
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0
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my $result; |
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166
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my $n; |
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167
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168
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0
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for my $key (keys %{$self->{'D'}}) { |
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0
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169
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0
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$result += ($self->{'D'}->{$key}-$self->approx($key))**2; |
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170
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#print STDERR "## $result\n"; |
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171
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0
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$n++; |
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172
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} |
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173
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174
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0
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$result/$n; |
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175
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} |
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176
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177
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sub print { |
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178
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0
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0
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1
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my $self = shift; |
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179
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180
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0
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printf "Function: %s\n", $self->{'F'}; |
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181
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0
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printf "Degree: %d\n", $self->{'N'}; |
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182
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0
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print "Koeff: ", join(' ', @{$self->{'A'}}), "\n"; |
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0
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183
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0
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print "Fit: ", $self->fit, "\n"; |
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184
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0
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print "Data:\n"; |
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185
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0
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print " X Y Approximation\n"; |
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186
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0
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for my $key (sort {$a <=> $b} keys %{$self->{'D'}}) { |
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0
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0
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187
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0
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printf("%10.5f %10.5f %10.5f\n", $key, $self->{'D'}->{$key}, |
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188
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$self->approx($key)); |
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189
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} |
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190
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} |
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191
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192
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sub plot { |
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193
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0
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0
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1
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my $self = shift; |
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194
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0
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my $file = shift; |
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195
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0
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0
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open(OUT, ">$file") || die "Could not open $file: $!\n"; |
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196
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197
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0
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print OUT "\n#data\n"; |
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198
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0
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for my $key (sort {$a <=> $b} keys %{$self->{'D'}}) { |
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0
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0
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199
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|
print OUT $key, ' ', $self->{'D'}->{$key}, "\n"; |
|
200
|
|
|
|
|
|
|
} |
|
201
|
|
|
|
|
|
|
|
|
202
|
0
|
|
|
|
|
|
print OUT "\n#Approximation\n"; |
|
203
|
0
|
|
|
|
|
|
for my $key (sort {$a <=> $b} keys %{$self->{'D'}}) { |
|
|
0
|
|
|
|
|
|
|
|
|
0
|
|
|
|
|
|
|
|
204
|
0
|
|
|
|
|
|
print OUT $key, ' ', $self->approx($key), "\n"; |
|
205
|
|
|
|
|
|
|
} |
|
206
|
0
|
|
|
|
|
|
close(OUT); |
|
207
|
0
|
|
|
|
|
|
1; |
|
208
|
|
|
|
|
|
|
} |
|
209
|
|
|
|
|
|
|
|
|
210
|
|
|
|
|
|
|
1; |