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void SRANDGAUSSIAN(rng_int_t *n, float *xmu, float *var, rng_int_t *state, float *x, rng_int_t *info)#
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void DRANDGAUSSIAN(rng_int_t *n, double *xmu, double *var, rng_int_t *state, double *x, rng_int_t *info)#
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void srandgaussian_(rng_int_t *n, float *xmu, float *var, rng_int_t *state, float *x, rng_int_t *info)#
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void drandgaussian_(rng_int_t *n, double *xmu, double *var, rng_int_t *state, double *x, rng_int_t *info)#
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void srandgaussian(rng_int_t n, float xmu, float var, rng_int_t *state, float *x, rng_int_t *info)#
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void drandgaussian(rng_int_t n, double xmu, double var, rng_int_t *state, double *x, rng_int_t *info)#
Returns a vector of double precision pseudo-random numbers from gaussian (or normal) distribution.
- Parameters:
n – [in] Number of values return, n > 0
xmu – [in] Mean of distribution
var – [in] Variance of distribution, var >= 0.0
state – [inout] On Entry: Current state of the base generator being used. state must have first been initialized with a call to drandinitialize On Exit: State of generator after n- values are generated
x – [out] Vector of n- values from the gaussian distribution, x(n)
info – [out]
Error code
0 = Everything OK
-1 to -4 = Error in parameter, abs(info)