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Data Structures & Algorithms in Dart

Second Edition · Flutter · Dart 3.0 · VS Code 1.78

Section VI: Challenge Solutions

Section 6: 21 chapters
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14. Chapter 14 Solutions
Written by Jonathan Sande

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Solution to Challenge 1

There are many ways to solve for the nth smallest number in an unsorted list. This chapter is about heaps, so the solution here will use a min-heap.

num? getNthSmallestElement(int n, List<num> elements) {
  var heap = Heap<num>(
    elements: elements,
    priority: Priority.min,
  );
  num? value;
  for (int i = 0; i < n; i++) {
    value = heap.remove();
  }
  return value;
}

Since heap.remove always returns the smallest element, you just loop through n times to get the nth smallest number.

Solution to Challenge 2

Given the following unsorted list:

[21, 10, 18, 5, 3, 100, 1]
0 3 64 8 911 69 84 0 6 59 24 378 9 72 5 09 4 29 737 7 21

7 08 2 62 479 93 5 79 0 3 11 3 64 517 5 83 5 35 280 27 4

Solution to Challenge 3

To combine two heaps, add the following method to Heap:

void merge(List<E> list) {
  elements.addAll(list);
  _buildHeap();
}

Solution to Challenge 4

To satisfy the min-heap requirement, every parent node must be less than or equal to its left and right child nodes.

bool isMinHeap<E extends Comparable<E>>(List<E> elements) {
  // 1
  if (elements.isEmpty) return true;
  // 2
  final start = elements.length ~/ 2 - 1;
  for (var i = start; i >= 0; i--) {
    // 3
    final left = 2 * i + 1;
    final right = 2 * i + 2;
    // 4
    if (elements[left].compareTo(elements[i]) < 0) {
      return false;
    }
    // 5
    if (right < elements.length &&
        elements[right].compareTo(elements[i]) < 0) {
      return false;
    }
  }
  // 6
  return true;
}
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