CUMSUM: Cumulative Sum
The CUMSUM block sums the element of an input m*n matrix u along either the rows, the columns or the first non singleton dimension. When the "Sum along" parameter is set to "1", the block sums across the elements of each row. The result will be displayed as a m*1 matrix.
When the "Sum along" parameter is set to "2", the block sums across the elements of each column. The result will be display as a 1*n matrix.
When the "Sum along" parameter is set to "0", the block sums across the first non singleton dimension. The result will be displayed as one element. This block is equivalent to cumsum in scilab.
- Datatype(1=real double 2=Complex)
It indicates the type of the output. It support only the two types double (1) and complex (2). If we input another entry in this label Scicos will print the message "Datatype is not supported".
Properties : Type 'vec' of size 1.
- Sum along (0=the first non singleton dimension 1=Rows 2=Columns)
Indicate whether to sum across the rows, the columns or the first non singleton dimension.
Properties : Type 'vec' of size 1.
A=[1 2 3;4 5 6;7 8 9]
If the sum is along the row the result will be
B=[12;15;18]
- always active: no
- direct-feedthrough: yes
- zero-crossing: no
- mode: no
- regular inputs:
- port 1 : size [-1,-2] / type 1
- regular outputs:
- port 1 : size [-1,-2] / type 1
- number/sizes of activation inputs: 0
- number/sizes of activation outputs: 0
- continuous-time state: no
- discrete-time state: no
- object discrete-time state: no
- name of computational function: cumsum_m
- SCI/macros/scicos_blocks/MatrixOp/CUMSUM.sci [view code]
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