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Advanced Techniques

Sophisticated techniques for solving complex linked list problems.

Fast & slow pointers​

  • Cycle Detection: Using Floyd's cycle detection algorithm
  • Middle Element: Find middle element of linked list
  • Palindrome Check: Check if linked list is palindrome
  • Nth from End: Find nth node from end of list

List partitioning​

  • Partition by Value: Partition list around given value
  • Odd-Even Partition: Separate odd and even positioned nodes
  • Stable Partition: Maintain relative order of elements
  • Multiple Partitions: Create multiple partitions based on criteria

List sorting​

  • Merge Sort: Sort linked list using merge sort
  • Quick Sort: Sort linked list using quick sort
  • Insertion Sort: Sort linked list using insertion sort
  • In-place Sorting: Sort without extra space

Intersection of lists​

  • Find Intersection: Find intersection point of two lists
  • Intersection Length: Find length of intersection
  • Multiple Intersections: Handle multiple intersection points
  • Intersection with Cycles: Handle lists with cycles

Deep copy with random pointers​

  • Copy List with Random Pointers: Create deep copy of complex list
  • Hash Map Approach: Using hash map for random pointer mapping
  • In-place Approach: Copy without extra space
  • Validation: Verify correctness of copied list