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- mtlb_any
- mtlb_axis
- mtlb_beta
- mtlb_box
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- mtlb_colordef
- mtlb_conv
- mtlb_cumprod
- mtlb_cumsum
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- mtlb_exist
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- mtlb_fft
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- mtlb_fliplr
- mtlb_fopen
- mtlb_format
- mtlb_fprintf
- mtlb_fread
- mtlb_fscanf
- mtlb_full
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- 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 This page might be outdated.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_randn
Matlab randn emulation function
Description
Matlab rand and Scilab rand(...,"normal") behave differently in some particular cases:
- With a scalar input: Matlab - randnreturns a n x n matrix while Scilab- rand(...,"normal")returns a scalar.
The function mtlb_randn(A) is used by
    mfile2sci to replace randn(A) when it was not
    possible to know what was the input 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_randn calls:
- If - Ais a scalar- mtlb_randn(A)may be replaced by- rand(A,A,"normal")
- If - Ais not a scalar- mtlb_randn(A)may be replaced by- rand(A,"normal")
Caution: mtlb_randn has not to be used for hand coded functions.
Authors
- V.C.
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