Description Usage Arguments Value Author(s) References See Also Examples

Given an input matrix or its singular value decomposition,

calculates the resolution of the equations (rows) and of the unknowns (columns) of the matrix.

1 | ```
resolution (s, tol = sqrt(.Machine$double.eps))
``` |

`s ` |
either a matrix or its singular value decomposition. |

`tol ` |
tolerance for the singular values. |

a list containing:

`row ` |
resolution of the rows (equations). |

`col ` |
resolution of the columns (variables). |

`nsolvable ` |
number of solvable unknowns - the rank of the matrix. |

Karline Soetaert <[email protected]>

Dick van Oevelen<[email protected]>

Menke, W., 1989. Geophysical Data Analysis: Discrete Inverse Theory. Revised edition. International Geophysics Series. Academic Press, London.

`svd`

, the singluar value decomposition

1 2 3 4 | ```
resolution (matrix(nrow = 3, runif(9))) #3rows,3columns
resolution (matrix(nrow = 3, runif(12))) #3rows,4columns
resolution (matrix(nrow = 3, runif(6))) #3rows,2columns
resolution (cbind(c(1, 2, 3), c(2, 3, 4), c(3, 5, 7))) # r3=r1+r2,c3=c1+c2
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.