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graph_class.html
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<!DOCTYPE html><html lang="en">
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<meta name="viewport" content="width=device-width; initial-scale=1.0; maximum-scale=1.0; user-scalable=0;">
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<title>PHPExcel classes</title>
<meta name="author" content="Mike van Riel">
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<a class="btn btn-navbar" data-toggle="collapse" data-target=".nav-collapse"><span class="icon-bar"></span><span class="icon-bar"></span><span class="icon-bar"></span></a><a class="brand" href="index.html">PHPExcel classes</a><div class="nav-collapse"><ul class="nav">
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API Documentation <b class="caret"></b></a><ul class="dropdown-menu">
<li><a>Packages</a></li>
<li><a href="packages/Default.html"><i class="icon-folder-open"></i> Default</a></li>
<li><a href="packages/JAMA.html"><i class="icon-folder-open"></i> JAMA</a></li>
<li><a href="packages/JAMA%0D%0ACholesky%20decomposition%20class%0D%0AFor%20a%20symmetric,%20positive%20definite%20matrix%20A,%20the%20Cholesky%20decomposition%0D%0Ais%20an%20lower%20triangular%20matrix%20L%20so%20that%20A%20=%20L*L'.html"><i class="icon-folder-open"></i> JAMA
Cholesky decomposition class
For a symmetric, positive definite matrix A, the Cholesky decomposition
is an lower triangular matrix L so that A = L*L'</a></li>
<li><a href="packages/JAMA%0D%0AClass%20to%20obtain%20eigenvalues%20and%20eigenvectors%20of%20a%20real%20matrix.html"><i class="icon-folder-open"></i> JAMA
Class to obtain eigenvalues and eigenvectors of a real matrix</a></li>
<li><a href="packages/JAMA%0D%0AError%20handling.html"><i class="icon-folder-open"></i> JAMA
Error handling</a></li>
<li><a href="packages/JAMA%0D%0AFor%20an%20m-by-n%20matrix%20A%20with%20m%20>=%20n,%20the%20LU%20decomposition%20is%20an%20m-by-n%0D%0Aunit%20lower%20triangular%20matrix%20L,%20an%20n-by-n%20upper%20triangular%20matrix%20U,%0D%0Aand%20a%20permutation%20vector%20piv%20of%20length%20m%20so%20that%20A(piv,:)%20=%20L*U.html"><i class="icon-folder-open"></i> JAMA
For an m-by-n matrix A with m >= n, the LU decomposition is an m-by-n
unit lower triangular matrix L, an n-by-n upper triangular matrix U,
and a permutation vector piv of length m so that A(piv,:) = L*U</a></li>
<li><a href="packages/JAMA%0D%0AFor%20an%20m-by-n%20matrix%20A%20with%20m%20>=%20n,%20the%20QR%20decomposition%20is%20an%20m-by-n%0D%0Aorthogonal%20matrix%20Q%20and%20an%20n-by-n%20upper%20triangular%20matrix%20R%20so%20that%0D%0AA%20=%20Q*R.html"><i class="icon-folder-open"></i> JAMA
For an m-by-n matrix A with m >= n, the QR decomposition is an m-by-n
orthogonal matrix Q and an n-by-n upper triangular matrix R so that
A = Q*R</a></li>
<li><a href="packages/JAMA%0D%0AFor%20an%20m-by-n%20matrix%20A%20with%20m%20>=%20n,%20the%20singular%20value%20decomposition%20is%0D%0Aan%20m-by-n%20orthogonal%20matrix%20U,%20an%20n-by-n%20diagonal%20matrix%20S,%20and%0D%0Aan%20n-by-n%20orthogonal%20matrix%20V%20so%20that%20A%20=%20U*S*V'.html"><i class="icon-folder-open"></i> JAMA
For an m-by-n matrix A with m >= n, the singular value decomposition is
an m-by-n orthogonal matrix U, an n-by-n diagonal matrix S, and
an n-by-n orthogonal matrix V so that A = U*S*V'</a></li>
<li><a href="packages/JAMA%0D%0APythagorean%20Theorem:%0D%0Aa%20=%203%0D%0Ab%20=%204%0D%0Ar%20=%20sqrt(square(a)%20+%20square(b))%0D%0Ar%20=%205%0D%0Ar%20=%20sqrt(a%5E2%20+%20b%5E2)%20without%20under.overflow.html"><i class="icon-folder-open"></i> JAMA
Pythagorean Theorem:
a = 3
b = 4
r = sqrt(square(a) + square(b))
r = 5
r = sqrt(a^2 + b^2) without under/overflow</a></li>
<li><a href="packages/PHPExcel.html"><i class="icon-folder-open"></i> PHPExcel</a></li>
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<span class="label label-info">519</span></a></li>
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<ul>
<li>todo
<span class="label label-info">19</span>
</li>
<li>fixme
<span class="label label-info">10</span>
</li>
</ul></a></li>
<li><a href="deprecated.html"><i class="icon-stop"></i> Deprecated elements
<span class="label label-info">12</span></a></li>
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