- Ajuda Scilab
- Funções de Compatibilidade
- asciimat
- firstnonsingleton
- makecell
- mstr2sci
- mtlb_0
- mtlb_a
- mtlb_all
- mtlb_any
- mtlb_axis
- mtlb_beta
- mtlb_box
- mtlb_close
- mtlb_colordef
- mtlb_conv
- mtlb_cumprod
- mtlb_cumsum
- mtlb_dec2hex
- mtlb_delete
- mtlb_diag
- mtlb_diff
- mtlb_dir
- mtlb_double
- mtlb_e
- mtlb_echo
- mtlb_eval
- mtlb_exist
- mtlb_eye
- mtlb_false
- mtlb_fft
- mtlb_fftshift
- mtlb_find
- mtlb_findstr
- mtlb_fliplr
- mtlb_fopen
- mtlb_format
- mtlb_fprintf
- mtlb_fread
- mtlb_fscanf
- mtlb_full
- mtlb_fwrite
- mtlb_grid
- mtlb_hold
- mtlb_i
- mtlb_ifft
- mtlb_imp
- mtlb_int16
- mtlb_int32
- mtlb_int8
- mtlb_is
- mtlb_isa
- mtlb_isfield
- mtlb_isletter
- mtlb_isspace
- mtlb_l
- mtlb_legendre
- mtlb_linspace
- mtlb_logic
- mtlb_logical
- mtlb_lower
- mtlb_max
- mtlb_min
- mtlb_more
- mtlb_num2str
- mtlb_ones
- mtlb_plot
- mtlb_prod
- mtlb_rand
- mtlb_randn
- mtlb_rcond
- mtlb_realmax
- mtlb_realmin
- mtlb_repmat
- mtlb_s
- mtlb_setstr
- mtlb_size
- mtlb_sort
- mtlb_strcmp
- mtlb_strcmpi
- mtlb_strfind
- mtlb_strrep
- mtlb_sum
- mtlb_t
- mtlb_toeplitz
- mtlb_tril
- mtlb_triu
- mtlb_true
- mtlb_uint16
- mtlb_uint32
- mtlb_uint8
- mtlb_upper
- mtlb_var
- mtlb_zeros
Please note that the recommended version of Scilab is 2026.0.0. This page might be outdated.
See the recommended documentation of this function
mtlb_cumsum
Matlab cumsum emulation function
Description
Matlab and Scilab cumsum behave differently in some particular cases:
- When used with one input ( - cumsum(A)), Matlab- cumsumtreats the values along the first non-singleton dimension of A as vectors while Scilab- cumsumtreats all A values.
- When used with two inputs ( - cumsum(A,dim)), Matlab tolerates- dimto be greater than the number of dimensions of A while Scilab returns an error message in this case.
The function R = mtlb_cumsum(A[,dim]) is used by
    mfile2sci to replace cumsum(A[,dim]) when it was not
    possible to know what were the inputs while porting Matlab code to Scilab. This function will
    determine the correct semantic at run time. If you want to have a
    more efficient code it is possible to replace mtlb_cumsum calls:
- If - dimis less equal to the number of dimensions of A- R = mtlb_cumsum(A,dim)may be replaced by- R = cumsum(A,dim)
- If - dimis greater than then number of dimensions of A- R = mtlb_cumsum(A,dim)may be replaced by- R = A.
Caution: mtlb_cumsum has not to be used for hand coded functions.
See Also
- firstnonsingleton — Finds first dimension which is not 1
Authors
- V.C.
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