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// Cauchy PDF
//
// cauchy_pdf - Cauchy probability density
//
// f(x) = 1 / (PI * (1 + x^2))
//
// Inputs: 1
// Outputs: 1 (PDF value)
// Constants: 0
#include <math.h>
#include "ts.h"
ts_parameter_t const ts_cauchy_pdf_p = { .n_inputs = 1, .n_outputs = 1, .n_constants = 0, .params_size = 0 };
uint_t ts_cauchy_pdf_offset( ts_constant_t const *c )
{
( void )c;
return ( 0 );
}
int ts_cauchy_pdf(
fp_t * const *y, uint_t y_n,
fp_t const * const *x, uint_t x_n,
uint_t n, ts_constant_t const *c
)
{
TS_PROLOGUE( ts_cauchy_pdf_p );
(void)c;
for( uint_t i = 0; i < n; ++i )
{
y[0][i] = 1.0 / ( PI * ( 1.0 + x[0][i] * x[0][i] ) );
}
return 0;
}
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