## The module "cumsumsq" of the Mastrave modelling library

Daniele de Rigo

The file cumsumsq.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.

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#### Function declaration

answer = cumsumsq( values      ,
dim    = [] )



#### Description

Utility to extend the function sumsq(.) providing cumulative sum of squared elements of the array values along a given dimension dim .

#### Input arguments


values            ::numeric::
Vector, matrix or multi-dimensional array of numbers.

dim               ::scalar_index|empty::
Scalar positive integer representing the dimension along
which the cumulative sum of squared elements have to be
computed.
If  dim  is an empty array  [] , the dimension is the
first non-singleton dimension.  In case  values  is a
vector, this definition means that the default
dimension is the one along which the elements of the
vector  values  are aligned.
If omitted, the default value is  [] .



#### Example of usage


% Basic usage

% Vectors:
v    = ceil( rand(1,7)* 100 )
cs   = cumsumsq( v )
assert( cs(end) == sumsq(v) );

% Matrices:
v    = ceil( rand(5,7)* 100 )
cs   = cumsumsq( v )
assert( cs(end,:) == sumsq(v) );

% Passing a custom dimension
cs   = cumsumsq( v , 2 )
assert( cs(:,end) == sumsq(v,2) );

% Dealing with multi-dimensional arrays
v    = ceil( rand(5,7,3)* 100 )
cs   = cumsumsq( v )
cs   = cumsumsq( v , [] )
assert( cs(end,:,:) == sumsq(v) );

cs   = cumsumsq( v , 3 )
assert( cs(:,:,end) == sumsq(v,3) );

% Complex-valued elements of  values
v    = ceil( rand(5,7)* 100 ) +1i * ceil( rand(5,7)* 100 )
cs   = cumsumsq( v )
assert( cs(end,:) == sumsq(v) );
cs   = cumsumsq( v , 2 )
assert( cs(:,end) == sumsq(v,2) );


Memory requirements:
O( numel(  values  ) )

cummean, cumvar, cumstd, groupfun

Keywords:
cumulative operators, scan

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.

Copyright (C) 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016 Daniele de Rigo