## The unchecked module "cell2sparse_" of the Mastrave modelling library

**Daniele de Rigo**

#### Copyright and license notice of the function cell2sparse_

Copyright © 2007,2008,2009,2010,2011 Daniele de Rigo

The file cell2sparse_.m is part of Mastrave.

Mastrave is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

Mastrave is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with Mastrave. If not, see http://www.gnu.org/licenses/.

#### Function declaration

sparse_vals = cell2sparse_(cell_vals,cell_rows= [] ,siz= [] )

#### Description

**Warning:**cell2sparse_ should not be used in end-user code because it deliberately skips input and output arguments checks and other pre- and post-condition testing. End-user code should use instead the cell2sparse function (without the ending underscore).

Utility to transform a numeric vector or cell-array of numeric vectors
` cell_vals ` into a sparse matrix

`. If`

**sparse_vals**`is a numeric vector then the corresponding returned sparse matrix has a single column whose nonzero elements are the vector elements. If`

**cell_vals**`is a cell-array then the returned sparse matrix has a number of columns equal to the number of numeric vectors which compose as elements the cell-array. The row position of each nonzero element of`

**cell_vals**`is determined by the input argument`

**sparse_vals**`containing the row indices (subscripts) -- if omitted, the values of i-th numeric vector of`

**cell_rows**`are remapped as nonzero elements of the i-th column of`

**cell_vals**`starting from the first row and occupying contiguous rows in the same column.`

**sparse_vals**

#### Input arguments

cell_valsNumeric vector or cell-array of numeric vectors.::cellnumeric::cell_rowsVector of indices (or cell-array of indices vectors) representing the row position of the corresponding elements of::cellindex::. If it is an empty array [] , each numeric vector ofcell_valsis remapped to fill the corresponding column ofcell_valsstarting from the first row and occupying contiguous rows in the same column. If omitted, the default value is [] .sparse_valssizSize of the returned sparse matrix::numel,2-vector::. If it is an empty array [] , the size is computed as the minimum one able to contain all the passed values. If omitted, the default value is [] .sparse_vals

#### Example of usage

vnum = [ 1 5 4 8 3 ] lens = [ 3 0 4 3 0 0 9 0] N = sum( lens ) vcell = mat2cell( 10*[1:N] , 1 , lens ) cell_rows = mat2cell( [1:N] , 1 , lens ) cell2sparse_( vnum ) full( cell2sparse_( vcell ) ) % Passing the row position of each element full( cell2sparse_( vcell , cell_rows ) ) % Passing the size offull( cell2sparse_( vcell , [] , [15,10] ) ) full( cell2sparse_( vcell , cell_rows , [25,10] ) )sparse_vals

See also: cellstr2index, get_cell_elem, mat2groups Keywords: conversion, cell-array, sparse-matrix Version: 0.3.2

#### Support

The Mastrave modelling library is committed to provide reusable and general - but also robust and scalable - modules for research modellers dealing with computational science. You can help the Mastrave project by providing feedbacks on unexpected behaviours of this module. Despite all efforts, all of us - either developers or users - (should) know that errors are unavoidable. However, the free software paradigm successfully highlights that scientific knowledge freedom also implies an impressive opportunity for collectively evolve the tools and ideas upon which our daily work is based. Reporting a problem that you found using Mastrave may help the developer team to find a possible bug. Please, be aware that Mastrave is entirely based on voluntary efforts: in order for your help to be as effective as possible, please read carefully the section on reporting problems. Thank you for your collaboration.