Copy List with Random Pointer
Given a linked list where each node has a val and a random pointer (which can point to any node or null), create a deep copy of the list.
Input: Each node as val,random_index separated by semicolons. Random index -1 means null.
Output: Same format showing the deep copy is correct.
Example:
7,-1;13,0;11,4;10,2;1,0
7,-1;13,0;11,4;10,2;1,0
- The input
7,-1;13,0;11,4;10,2;1,0represents a linked list where each node has a value and a random pointer index. The random index-1means the pointer isnull. - We create a deep copy of the list by iterating over each node and assigning a new node with the same
val. Therandompointer of each new node is updated based on the original node'srandomindex. - For the given input, the original list has nodes with values
7,13,11,10, and1. The random pointers are updated as follows:- Node
13points to node7(index0), - Node
11points to node1(index4), - Node
10points to node13(index2).
- Node
- The resulting deep copy has the same node values and random pointer indices, resulting in the output
7,-1;13,0;11,4;10,2;1,0.
Constraints:
- 0 <= n <= 1000
- -10^4 <= Node.val <= 10^4
- random_index is -1 or a valid index
Background Knowledge
The problem involves creating a deep copy of a linked list with nodes that have a val and a random pointer. To understand this, it's essential to know what a linked list is and how deep copying works. A linked list is a data structure where each element, known as a node, points to the next node in the sequence. This allows for efficient insertion and deletion of nodes at any position in the list. In the context of this problem, each node also has a random pointer that can point to any node in the list or be null.
Deep copying involves creating a new, independent copy of an object, including all its attributes and references. This is different from a shallow copy, which only copies the references to the original objects. In the case of a linked list with random pointers, a deep copy must ensure that each node in the new list has its own val and random pointer, which may point to other nodes in the new list or be null. This requires careful consideration of how to manage the relationships between nodes during the copying process.
To tackle this problem, it's also crucial to understand how to traverse a linked list and how to keep track of the nodes that have already been copied to avoid infinite loops or missing nodes. This might involve using data structures like dictionaries or sets to store the nodes that have been visited or copied. Additionally, understanding the concept of hashing can be helpful, as it allows for efficient lookup and storage of nodes based on their unique identifiers.
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