The function compares the sum of sub-array arr[l…r] with the sum of the sub-array arr[x…y] and returns...following calls to the API reader.compareSub(0, 0, 1, 1) // returns 0 this is a query comparing the sub-array
The optional mask specifies a sub-array to be normalized....This means that the norm or min-n-max are calculated over the sub-array, and then this sub-array is modified
Given a two-dimensional array of positive and negative integers, a sub-rectangle is any contiguous sub-array
for(i=0; i<step; i++) { /* pick an element every step, and combine into a sub-array...for(j=0; j<nsub; j++) { sub[j] = a[i+j*step]; } /* sort the sub-array...It could be other sorting methods */ bubble_sort(sub, nsub); /* put back the sub-array...for(j=0; j<nsub; j++) { a[i+j*step] = sub[j]; } /* free sub-array
slice(s,e); Here s is the starting index and end is the end index of the new array which will be a sub-array
Array.prototype.flat() The flat() method creates a new array with all sub-array elements concatenated
比如说，在写作任务中，可以将几篇输入文章合并成一个连贯的摘要；在排序任务中，可以将几个排序后的数字子数组（sub-array）合并成一个最终的排序数组。
number (from 0 to server.iothreads_num-1), and is * used by the thread to just manipulate a single sub-array
The important thing here is to not forget to obtain the sum of elements in the nested sub-array and add
/ create left and right subarrays // mid elements (from index 0 till mid-1) should be part of left sub-array...// and (n-mid) elements (from mid to n-1) will be part of right sub-array L = new int[mid]; R = new
To achieve high accuracy, we propose to use fine-grained sub-array columns, which provide a unique opportunity
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