242 lines
8.1 KiB
Markdown
242 lines
8.1 KiB
Markdown
# Lecture 10 --- Iterator Implementation & Linked Lists
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- Iterator Implementation (in Vectors)
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- Building our own basic linked lists:
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– Stepping through a list
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– Basic operations
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## 10.1 Review: Iterators and Iterator Operations
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What is the output of this program?
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```cpp
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#include <list>
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#include <iostream>
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int main(){
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std::list<int> lst;
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lst.push_back(150);
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lst.push_back(250);
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lst.push_back(350);
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lst.push_back(450);
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std::list<int>::iterator itr;
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itr = lst.begin();
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++itr;
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*itr += 5;
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std::list<int>::iterator itr2 = lst.begin();
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while(itr2 != lst.end()){
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std::cout << *itr2 << std::endl;
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itr2++;
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}
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}
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```
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## 10.2 Iterator Implementation
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Here we extend our implemention of vector so as to include iterators. Review the written code here: [vec.h](vec.h) and [vec_main.cpp](vec_main.cpp).
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## 10.3 Working towards our own version of the STL list
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- Our discussion of how the STL list<T> is implemented has been intuitive: it is a “chain” of objects.
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- Now we will study the underlying mechanism — linked lists.
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- This will allow us to build custom classes that mimic the STL list class, and add extensions and new features.
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## 10.4 Objects with Pointers, Linking Objects Together
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- The two fundamental mechanisms of linked lists are:
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– creating objects with pointers as one of the member variables, and
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– making these pointers point to other objects of the same type.
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- These mechanisms are illustrated in the following program:
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```cpp
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template <class T>
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class Node {
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public:
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T value;
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Node* ptr;
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};
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int main() {
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Node<int>* ll; // ll is a pointer to a (non-existent) Node
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ll = new Node<int>; // Create a Node and assign its memory address to ll
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ll->value = 6; // This is the same as (*ll).value = 6;
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ll->ptr = NULL; // NULL == 0, which indicates a "null" pointer
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Node<int>* q = new Node<int>;
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q->value = 8;
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q->ptr = NULL;
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// set ll's ptr member variable to
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// point to the same thing as variable q
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ll->ptr = q;
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cout << "1st value: " << ll->value << "\n"
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<< "2nd value: " << ll->ptr->value << endl;
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}
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```
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- Play this [animation](https://jidongxiao.github.io/CSCI1200-DataStructures/animations/lists/creation/index.html) to see how this program works.
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## 10.5 Definition: A Linked List
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- The definition is recursive: A linked list is either:
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- Empty, or
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- Contains a node storing a value and a pointer to a linked list.
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- The first node in the linked list is called the head node and the pointer to this node is called the head pointer.
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The pointer’s value will be stored in a variable called head.
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## 10.6 Visualizing Linked Lists
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- The head pointer variable is drawn with its own box. It is an individual variable. It is important to have a
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separate pointer to the first node, since the “first” node may change.
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- The objects (nodes) that have been dynamically allocated and stored in the linked lists are shown as boxes,
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with arrows drawn to represent pointers.
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- Note that this is a conceptual view only. The memory locations could be anywhere, and the actual values
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of the memory addresses aren’t usually meaningful.
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- The last node MUST have NULL for its pointer value — you will have all sorts of trouble if you don’t ensure this!
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- You should make a habit of drawing pictures of linked lists to figure out how to do the operations.
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## 10.7 Basic Mechanisms: Stepping Through the List
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- We’d like to write a function to determine if a particular value, stored in x, is also in the list.
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- We can access the entire contents of the list, one step at a time, by starting just from the head pointer.
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– We will need a separate, local pointer variable to point to nodes in the list as we access them.
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– We will need a loop to step through the linked list (using the pointer variable) and a check on each value
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## 10.8 Exercise: Write is_there
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```cpp
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template <class T> bool is_there(Node<T>* head, const T& x) {
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}
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```
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- If the input linked list chain contains n elements, what is the order notation of is_there?
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## 10.9 Overview: Adding an Element at the Front of the List
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- Goal: place a new node at the beginning of the list.
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- We must create a new node.
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- We must permanently update the head pointer variable's value.
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Therefore, we must pass the pointer variable **by reference.**
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## 10.10 Exercise: Write push_front
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```cpp
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template <class T> void push_front( Node<T>* & head, T const& value ) {
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}
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```
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- Play this [animation](https://jidongxiao.github.io/CSCI1200-DataStructures/animations/lists/push_front/index.html) to see how push_front works.
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- If the input linked list chain contains n elements, what is the order notation of the implementation of push_front?
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## 10.11 Basic Mechanisms: Pushing on the Back
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- Goal: place a new node at the end of the list.
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- We must step to the end of the linked list, remembering the pointer to the last node.
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- This is an O(n) operation and is a major drawback to the ordinary linked-list data structure we are
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discussing now. We will correct this drawback by creating a slightly more complicated linking structure
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in our next lecture.
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- We must create a new node and attach it to the end.
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- We must remember to update the head pointer variable’s value if the linked list is initially empty.
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– Hence, in writing the function, we must pass the pointer variable** by reference.**
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## 10.12 Exercise: Write push_back
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```cpp
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template <class T> void push_back( Node<T>* & head, T const& value ) {
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}
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```
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- Play this [animation](https://jidongxiao.github.io/CSCI1200-DataStructures/animations/lists/push_back/index.html) to see how push_back works.
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- If the input linked list chain contains n elements, what is the order notation of this implementation of push_back?
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## 10.13 Inserting a Node into a Singly-Linked List
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- With a singly-linked list, we’ll need a pointer to the node before the spot where we wish to insert the new
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item.
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- If p is a pointer to this node, and x holds the value to be inserted, then the following code will do the insertion.
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Draw a picture to illustrate what is happening.
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```cpp
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Node<T> * q = new Node<T>; // create a new node
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q -> value = x; // store x in this node
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q -> next = p -> next; // make its successor be the current successor of p
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p -> next = q; // make p's successor be this new node
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```
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- Play this [animation](https://jidongxiao.github.io/CSCI1200-DataStructures/animations/lists/insert/index.html) to see how this code snippet works.
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- Note: This code will not work if you want to insert x in a new node at the front of the linked list. Why not?
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## 10.14 Removing a Node from a Singly-Linked List
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- The remove operation itself requires a pointer to the node before the node to be removed.
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- Suppose p points to a node that should be removed from a linked list, q points to the node before p, and head
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points to the first node in the linked list. Note: Removing the first node is an important special case.
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- Write code to remove p, making sure that if p points to the first node that head points to what was the second
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node and now is the first after p is removed. Draw a picture of each scenario.
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## 10.15 Exercise: Singly-Linked List Remove All
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Write a recursive function to delete all nodes in a linked list. Here’s the function prototype:
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```cpp
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template <class T> void RemoveAll(Node<T>*& head) {
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}
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```
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## 10.16 Exercise: Singly-Linked List Copy
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Write a recursive function to copy all nodes in a linked list to form an new linked list of nodes with identical structure
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and values. Here’s the function prototype:
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```cpp
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template <class T> void CopyAll(Node<T>* old_head, Node<T>*& new_head) {
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}
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```
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<!-- ## 10.16 Leetcode Exercises
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- [Leetcode problem 27: Remove Element](https://leetcode.com/problems/remove-element/). Solution: [p27_removeelement.cpp](../../leetcode/p27_removeelement.cpp)
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- [Leetcode problem 58: Length of Last Word](https://leetcode.com/problems/length-of-last-word/). Solution: [p58_lengthoflastword.cpp](../../leetcode/p58_lengthoflastword.cpp)
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- [Leetcode problem 283: Move Zeroes](https://leetcode.com/problems/move-zeroes/). Solution: [p283_movezeroes.cpp](../../leetcode/p283_movezeroes.cpp)
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-->
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