CPSC 221: Data Structures Lecture #7 Branching Out
... void delete(Comparable key, Node *& root) { ...
... void delete(Comparable key, Node *& root) { ...
3 Representing Sequences by Arrays and Linked Lists
... require that for each item it, the successor of its predecessor is equal to it and the predecessor of its successor is also equal to it. A sequence of n elements is represented by a ring of n+1 items. There is a special dummy item h, which stores no element. The successor h1 of h stores the first el ...
... require that for each item it, the successor of its predecessor is equal to it and the predecessor of its successor is also equal to it. A sequence of n elements is represented by a ring of n+1 items. There is a special dummy item h, which stores no element. The successor h1 of h stores the first el ...
Self-balancing Binary Search Trees
... 1. Each node is either red or black. 2. The root is black. 3. The leaves are all NULL pointers and they are black. 4. If a node is red, then both its children are black. 5. Every path from a given node to any of its descendant NULL nodes contains the same number of black nodes. From 4 and 5 we can i ...
... 1. Each node is either red or black. 2. The root is black. 3. The leaves are all NULL pointers and they are black. 4. If a node is red, then both its children are black. 5. Every path from a given node to any of its descendant NULL nodes contains the same number of black nodes. From 4 and 5 we can i ...
CS 315 Week 1 (Jan 28 and 30) summary and review questions
... (a) we have private members that are pointers. (b) we have private members that are arrays. (c) we have allocated dynamic memory in our constructors. (d) we have used templates (e) in each of the above cases 5) What is an Abstract Data Type? Mention one benefit of using an abstract data type. Abstra ...
... (a) we have private members that are pointers. (b) we have private members that are arrays. (c) we have allocated dynamic memory in our constructors. (d) we have used templates (e) in each of the above cases 5) What is an Abstract Data Type? Mention one benefit of using an abstract data type. Abstra ...
Course 3:Linked List - 天府学院数据结构精品课程
... key,which is one or more fields used to identify the data or control their use. In a restricted list, data ,can be added or deleted at the end of the structure and processing is restricted to the operations on the data at the ends of the list. Two common restricted list structures are stacks, (last ...
... key,which is one or more fields used to identify the data or control their use. In a restricted list, data ,can be added or deleted at the end of the structure and processing is restricted to the operations on the data at the ends of the list. Two common restricted list structures are stacks, (last ...
sorted
... Not indexable (immediately) Space is allocate for each new element and consecutive elements are linked together with a pointer. Note, though, that the middle can be modified in constant time. head ...
... Not indexable (immediately) Space is allocate for each new element and consecutive elements are linked together with a pointer. Note, though, that the middle can be modified in constant time. head ...
Chapter 1 PROGRAMMING PRINCIPLES P
... gives the address of x. In this case, a declaration and assignment such as Item *ptr = &x would establish a pointer, ptr, to the object x. P.121-122 Address of an array: The address of the initial element of an array is found by using the array’s name without any attached [] operators. For example, ...
... gives the address of x. In this case, a declaration and assignment such as Item *ptr = &x would establish a pointer, ptr, to the object x. P.121-122 Address of an array: The address of the initial element of an array is found by using the array’s name without any attached [] operators. For example, ...
ppt
... Depth is log M/2 n/(L/2) +/- 1 Find: run time in terms of both n and M=L is: O(log M) for binary search of each internal node O(log L) = O(log M) for binary search of the leaf node Total is O((logM/2 n/(M/2))(log M)+ log M) = O((log n/(M/2))/(log M/2))(log M)) = O(log n + log M) ...
... Depth is log M/2 n/(L/2) +/- 1 Find: run time in terms of both n and M=L is: O(log M) for binary search of each internal node O(log L) = O(log M) for binary search of the leaf node Total is O((logM/2 n/(M/2))(log M)+ log M) = O((log n/(M/2))/(log M/2))(log M)) = O(log n + log M) ...
- Mitra.ac.in
... Ans: Data may be organized in many different ways; the logical or mathematical model of a particular organization of data is called a data structure. The choice of a particular data model depends on two considerations. First, it must be rich enough in structure to mirror the actual relationships of ...
... Ans: Data may be organized in many different ways; the logical or mathematical model of a particular organization of data is called a data structure. The choice of a particular data model depends on two considerations. First, it must be rich enough in structure to mirror the actual relationships of ...
Linked list
In computer science, a linked list is a data structure consisting of a group of nodes which together represent a sequence. Under the simplest form, each node is composed of data and a reference (in other words, a link) to the next node in the sequence; more complex variants add additional links. This structure allows for efficient insertion or removal of elements from any position in the sequence.Linked lists are among the simplest and most common data structures. They can be used to implement several other common abstract data types, including lists (the abstract data type), stacks, queues, associative arrays, and S-expressions, though it is not uncommon to implement the other data structures directly without using a list as the basis of implementation.The principal benefit of a linked list over a conventional array is that the list elements can easily be inserted or removed without reallocation or reorganization of the entire structure because the data items need not be stored contiguously in memory or on disk, while an array has to be declared in the source code, before compiling and running the program. Linked lists allow insertion and removal of nodes at any point in the list, and can do so with a constant number of operations if the link previous to the link being added or removed is maintained during list traversal.On the other hand, simple linked lists by themselves do not allow random access to the data, or any form of efficient indexing. Thus, many basic operations — such as obtaining the last node of the list (assuming that the last node is not maintained as separate node reference in the list structure), or finding a node that contains a given datum, or locating the place where a new node should be inserted — may require sequential scanning of most or all of the list elements. The advantages and disadvantages of using linked lists are given below.