time-to-botec

Benchmark sampling in different programming languages
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dvariancetk.c (1562B)


      1 /**
      2 * @license Apache-2.0
      3 *
      4 * Copyright (c) 2020 The Stdlib Authors.
      5 *
      6 * Licensed under the Apache License, Version 2.0 (the "License");
      7 * you may not use this file except in compliance with the License.
      8 * You may obtain a copy of the License at
      9 *
     10 *    http://www.apache.org/licenses/LICENSE-2.0
     11 *
     12 * Unless required by applicable law or agreed to in writing, software
     13 * distributed under the License is distributed on an "AS IS" BASIS,
     14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     15 * See the License for the specific language governing permissions and
     16 * limitations under the License.
     17 */
     18 
     19 #include "stdlib/stats/base/dvariancetk.h"
     20 #include <stdint.h>
     21 
     22 /**
     23 * Computes the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.
     24 *
     25 * @param N           number of indexed elements
     26 * @param correction  degrees of freedom adjustment
     27 * @param X           input array
     28 * @param stride      stride length
     29 * @return            output value
     30 */
     31 double stdlib_strided_dvariancetk( const int64_t N, const double correction, const double *X, const int64_t stride ) {
     32 	int64_t ix;
     33 	int64_t i;
     34 	double dN;
     35 	double S2;
     36 	double S;
     37 	double n;
     38 	double v;
     39 
     40 	dN = (double)N;
     41 	n = dN - correction;
     42 	if ( N <= 0 || n <= 0.0 ) {
     43 		return 0.0 / 0.0; // NaN
     44 	}
     45 	if ( N == 1 || stride == 0 ) {
     46 		return 0.0;
     47 	}
     48 	if ( stride < 0 ) {
     49 		ix = (1-N) * stride;
     50 	} else {
     51 		ix = 0;
     52 	}
     53 	S2 = 0.0;
     54 	S = 0.0;
     55 	for ( i = 0; i < N; i++ ) {
     56 		v = X[ ix ];
     57 		S2 += v * v;
     58 		S += v;
     59 		ix += stride;
     60 	}
     61 	return (S2 - ((S/dN)*S)) / n;
     62 }