time-to-botec

Benchmark sampling in different programming languages
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dmeanlipw.c (1713B)


      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/dmeanlipw.h"
     20 #include "stdlib/blas/ext/base/dapxsumpw.h"
     21 #include <stdint.h>
     22 
     23 /**
     24 * Computes the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
     25 *
     26 * ## References
     27 *
     28 * -   Ling, Robert F. 1974. "Comparison of Several Algorithms for Computing Sample Means and Variances." _Journal of the American Statistical Association_ 69 (348). American Statistical Association, Taylor & Francis, Ltd.: 859–66. doi:[10.2307/2286154](https://doi.org/10.2307/2286154).
     29 *
     30 * @param N       number of indexed elements
     31 * @param X       input array
     32 * @param stride  stride length
     33 * @return        output value
     34 */
     35 double stdlib_strided_dmeanlipw( const int64_t N, const double *X, const int64_t stride ) {
     36 	int64_t ix;
     37 
     38 	if ( N <= 0 ) {
     39 		return 0.0 / 0.0; // NaN
     40 	}
     41 	if ( N == 1 || stride == 0 ) {
     42 		return X[ 0 ];
     43 	}
     44 	if ( stride < 0 ) {
     45 		ix = (1-N) * stride;
     46 	} else {
     47 		ix = 0;
     48 	}
     49 	return X[ ix ] + ( stdlib_strided_dapxsumpw( N-1, -X[ ix ], X+( (stride > 0) ? stride : 0 ), stride ) / (double)N );
     50 }