Data Structures Question Bank Multiple Choice Section 1
... 1. Each BinaryTreeNode object maintains a reference to the element stored at that node as well as references to each of the nodes (a) ...
... 1. Each BinaryTreeNode object maintains a reference to the element stored at that node as well as references to each of the nodes (a) ...
1.Introduction to Data Structures:-
... The subalgorithm is defined independently so that it may be called by many different algorithm or called at different times in the same algorithm. [The relationship between an algorithm & a subalgorithm is similar to the relationship between a main program & subprogram in a programming language.] ...
... The subalgorithm is defined independently so that it may be called by many different algorithm or called at different times in the same algorithm. [The relationship between an algorithm & a subalgorithm is similar to the relationship between a main program & subprogram in a programming language.] ...
PDF - 4up
... In object-oriented thinking, a data structure is an object that stores other objects, referred to as data or elements. So some people refer a data structure as a container object or a collection object. To define a data structure is essentially to declare a class. The class for a data structure shou ...
... In object-oriented thinking, a data structure is an object that stores other objects, referred to as data or elements. So some people refer a data structure as a container object or a collection object. To define a data structure is essentially to declare a class. The class for a data structure shou ...
Program Outcomes
... 10. Suppose we have an array implementation of the stack class, with ten items in the stack stored at data[0] through data[9]. The CAPACITY is 42. Where does the push method place the new entry in the array? A. data[0] B. data[1] C. data[9] D. data[10] 11. Consider the implementation of the Stack u ...
... 10. Suppose we have an array implementation of the stack class, with ten items in the stack stored at data[0] through data[9]. The CAPACITY is 42. Where does the push method place the new entry in the array? A. data[0] B. data[1] C. data[9] D. data[10] 11. Consider the implementation of the Stack u ...
Standard Template Library Introduction
... road block can make a run for it, and the cars in the middle are stuck there. If you want to understand how a queue is implemented internally, check out my tutorial on Stacks and Queues. Be warned though, as with stacks, queues are normally built from linked lists so you'll probably have to read t ...
... road block can make a run for it, and the cars in the middle are stuck there. If you want to understand how a queue is implemented internally, check out my tutorial on Stacks and Queues. Be warned though, as with stacks, queues are normally built from linked lists so you'll probably have to read t ...
Algorithms and data structures—topic summary
... ordering of equivalence relations), and adjacency relations. We look at examples of all of these. We consider how relationships can be defined. In some cases, there is a global mechanism for comparing any two objects (3.5412 < 5.2793); in others, the relationship is locally defined (Ali’s manager is ...
... ordering of equivalence relations), and adjacency relations. We look at examples of all of these. We consider how relationships can be defined. In some cases, there is a global mechanism for comparing any two objects (3.5412 < 5.2793); in others, the relationship is locally defined (Ali’s manager is ...
CS2 Algorithms and Data Structures Note 6 Priority Queues and
... keys of v and its children. This is done in lines 1–6. Since the children of v may be leaves and thus not store items, some care is required. Then if s = v, the key of v is larger than or equal to the keys of its children. Thus the heap property (H) is satisfied at v. Since the subtrees rooted at th ...
... keys of v and its children. This is done in lines 1–6. Since the children of v may be leaves and thus not store items, some care is required. Then if s = v, the key of v is larger than or equal to the keys of its children. Thus the heap property (H) is satisfied at v. Since the subtrees rooted at th ...
Binary Search Trees in UT
... The 1st thing was to determine if this is the 1st element in the tree. ...
... The 1st thing was to determine if this is the 1st element in the tree. ...
SEARCHING
... items. The chances that you will hit the item you're looking for on the first try is 1 in 1 million, then it is 1 in 500000, 1 in 250000 1 in 125000, and so on. It is not until the list is small, say 4 long, that the odds are really very good. In fact, with 2 items left in the list you only have a 1 ...
... items. The chances that you will hit the item you're looking for on the first try is 1 in 1 million, then it is 1 in 500000, 1 in 250000 1 in 125000, and so on. It is not until the list is small, say 4 long, that the odds are really very good. In fact, with 2 items left in the list you only have a 1 ...
Document
... The array implementation is simple and efficient (methods performed in O(1)). There is an upper bound, N, on the size of the stack. The arbitrary value N may be too small for a given application, or a waste of memory. ...
... The array implementation is simple and efficient (methods performed in O(1)). There is an upper bound, N, on the size of the stack. The arbitrary value N may be too small for a given application, or a waste of memory. ...
Algorithms and Data Structures
... The array implementation is simple and efficient (methods performed in O(1)). There is an upper bound, N, on the size of the stack. The arbitrary value N may be too small for a given application, or a waste of memory. ...
... The array implementation is simple and efficient (methods performed in O(1)). There is an upper bound, N, on the size of the stack. The arbitrary value N may be too small for a given application, or a waste of memory. ...
Datastructures1:Lists, Sets and Hashing
... • If there is no collision, contains() operates in O(1) • If the set contains elements having the same hashcode, there is a collision. Being dupmax the maximum value of elements having the same hash code, contains() operates in O(dupmax) • If dupmax is near n, there is no increase in speed, since co ...
... • If there is no collision, contains() operates in O(1) • If the set contains elements having the same hashcode, there is a collision. Being dupmax the maximum value of elements having the same hash code, contains() operates in O(dupmax) • If dupmax is near n, there is no increase in speed, since co ...
Priority Queues and Heaps
... of the grandchildren of the root, etc. Recall that a complete Binary Search Tree of height h has 2h+1 1 vertices in total (counting both the internal vertices and the leaves). We say that a binary tree of height h (where we have the usual notion of left and right children) is almost complete if leve ...
... of the grandchildren of the root, etc. Recall that a complete Binary Search Tree of height h has 2h+1 1 vertices in total (counting both the internal vertices and the leaves). We say that a binary tree of height h (where we have the usual notion of left and right children) is almost complete if leve ...
3. Fundamental Data Structures
... Data Structures Definition (recall): • A data structure is a way to store and organize data in order to facilitate access and modification. Examples we have seen so far: • Array ...
... Data Structures Definition (recall): • A data structure is a way to store and organize data in order to facilitate access and modification. Examples we have seen so far: • Array ...
Doubly linked lists 1 - Richard Kay`s BCU/CEBE Page
... by the sequential positioning of the items in memory, ie consecutive items in the list are stored in consecutive memory locations. The use of a static array implies that the list will have a fixed maximum size determined by the variable declaration. This means that the maximum size must be determine ...
... by the sequential positioning of the items in memory, ie consecutive items in the list are stored in consecutive memory locations. The use of a static array implies that the list will have a fixed maximum size determined by the variable declaration. This means that the maximum size must be determine ...
MapADT_HashTables
... But you still have to handle collisions when two keys have the same hash value the hash method is not guaranteed to return a unique integer for each key example: simple hash method with "baab" and "abba" ...
... But you still have to handle collisions when two keys have the same hash value the hash method is not guaranteed to return a unique integer for each key example: simple hash method with "baab" and "abba" ...
Comparing Linear Search and Binary Search Algorithms to Search
... binary search is more efficient searching technique than linear search but insertion of an element is not efficient as it requires arranged elements in specific order. Further it is also possible to apply binary search on linked list by making necessary modifications to original binary search algori ...
... binary search is more efficient searching technique than linear search but insertion of an element is not efficient as it requires arranged elements in specific order. Further it is also possible to apply binary search on linked list by making necessary modifications to original binary search algori ...
The Map ADT and Hash Tables
... ´ But you still have to handle collisions when two keys have the same hash value ´ the hash method is not guaranteed to return a unique integer for each key ´ example: simple hash method with "baab" and "abba" ...
... ´ But you still have to handle collisions when two keys have the same hash value ´ the hash method is not guaranteed to return a unique integer for each key ´ example: simple hash method with "baab" and "abba" ...
Array, List, and linked list M.A. El
... [18] what is the difference between Static and Dynamic data structures Static = fixed size, implemented as arrays. Dynamic = can grow in size, need not to specify its size in advance, implemented as linked lists. ...
... [18] what is the difference between Static and Dynamic data structures Static = fixed size, implemented as arrays. Dynamic = can grow in size, need not to specify its size in advance, implemented as linked lists. ...
Introduction to Data Structure
... if it is a closing symbol do the following ▪ pop the stack. If the symbol popped does not match the closing symbol report an error ...
... if it is a closing symbol do the following ▪ pop the stack. If the symbol popped does not match the closing symbol report an error ...