📄 ginv.html

📁 本程序是基于linux系统下c++代码

💻 HTML

字号:

<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html><head><title>R: Generalized Inverse of a Matrix</title>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../../R.css">
</head><body>

<table width="100%" summary="page for ginv {MASS}"><tr><td>ginv {MASS}</td><td align="right">R Documentation</td></tr></table>
<h2>Generalized Inverse of a Matrix</h2>


<h3>Description</h3>

<p>
Calculates the Moore-Penrose generalized inverse of a matrix
<code>X</code>.
</p>


<h3>Usage</h3>

<pre>
ginv(X, tol = sqrt(.Machine$double.eps))
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>X</code></td>
<td>
Matrix for which the Moore-Penrose inverse is required.
</td></tr>
<tr valign="top"><td><code>tol</code></td>
<td>
A relative tolerance to detect zero singular values.
</td></tr>
</table>

<h3>Value</h3>

<p>
A MP generalized inverse matrix for <code>X</code>.</p>

<h3>References</h3>

<p>
Venables, W. N. and Ripley, B. D. (1999)
<EM>Modern Applied Statistics with S-PLUS.</EM> Third
Edition. Springer. p.100.
</p>


<h3>See Also</h3>

<p>
<code><a href="../../SparseM/html/SparseM.solve.html">solve</a></code>, <code><a href="../../base/html/svd.html">svd</a></code>, <code><a href="../../base/html/eigen.html">eigen</a></code>
</p>


<h3>Examples</h3>

<pre>
## Not run: 
# The function is currently defined as
function(X, tol = sqrt(.Machine$double.eps))
{
## Generalized Inverse of a Matrix
  dnx &lt;- dimnames(X)
  if(is.null(dnx)) dnx &lt;- vector("list", 2)
  s &lt;- svd(X)
  nz &lt;- s$d &gt; tol * s$d[1]
  structure(
    if(any(nz)) s$v[, nz] %*% (t(s$u[, nz])/s$d[nz]) else X,
    dimnames = dnx[2:1])
}
## End(Not run)</pre>



<hr><div align="center">[Package <em>MASS</em> version 7.2-44 <a href="00Index.html">Index]</a></div>

</body></html>

⌨️ 快捷键说明

复制代码 Ctrl + C

搜索代码 Ctrl + F

全屏模式 F11

切换主题 Ctrl + Shift + D

显示快捷键 ?

增大字号 Ctrl + =

减小字号 Ctrl + -