C Coding Assistant-Expert C Coding Aid

Example

void merge(int arr[], int l, int m, int r) { int i, j, k; int n1 = m - l + 1; int n2 = r - m; int L[n1], R[n2]; for (i = 0; i < n1; i++) L[i] = arr[l + i]; for (j = 0; j < n2; j++) R[j] = arr[m + 1+ j]; i = 0; j = 0; k = l; while (i < n1 && j < n2) { if (L[i] <= R[j]) { arr[k] = L[i]; i++; } else { arr[k] = R[j]; j++; } k++; } while (i < n1) { arr[k] = L[i]; i++; k++; } while (j < n2) { arr[k] = R[j]; j++; k++; } }

Scenario

A user needs to implement a merge sort algorithm as part of a larger data processing application. The Assistant provides a clear, optimized example of the merge function, part of the merge sort algorithm, explaining each part of the code and how it contributes to the overall sorting mechanism.

Example

int computeFactorial(int n) { if (n <= 1) return 1; else return n * computeFactorial(n - 1); } // Optimized version using tail recursion int factorialTailRec(int n, int a) { if (n == 0) return a; return factorialTailRec(n - 1, n * a); }

Scenario

In a scenario where a user is facing performance issues with a recursive factorial function due to deep recursion and potential stack overflow, the Assistant suggests an optimized version using tail recursion, which is more efficient and stack friendly.