![PDS-II 2 marks and 16 marks](http://s1.studyres.com/store/data/002023386_1-e5234bef7f6442053684ae31ef68e5ef-300x300.png)
PDS-II 2 marks and 16 marks
... • Uppercase and lowercase letters are distinct • A declared keyword cannot be used as a variable name 25. State the use of void in C++. The two normal uses of void are • To specify the return type of the function when it is not returning a value • To indicate an empty argument list to a function 26. ...
... • Uppercase and lowercase letters are distinct • A declared keyword cannot be used as a variable name 25. State the use of void in C++. The two normal uses of void are • To specify the return type of the function when it is not returning a value • To indicate an empty argument list to a function 26. ...
X - Suyash Bhardwaj
... Properties of Binomial Trees LEMMA: For the binomial tree Bk ; 1. There are 2k nodes, 2. The height of tree is k, 3. There are exactly k nodes at depth i for i i = 0,1,..,k and 4. The root has degree k > degree of any other node if the children of the root are numbered from left to right as k-1, k- ...
... Properties of Binomial Trees LEMMA: For the binomial tree Bk ; 1. There are 2k nodes, 2. The height of tree is k, 3. There are exactly k nodes at depth i for i i = 0,1,..,k and 4. The root has degree k > degree of any other node if the children of the root are numbered from left to right as k-1, k- ...
TREE DATA STRUCTURES FOR GRAPHICS AND IMAGE
... criterion is that all the picture elements in an area be the same, or at least similar, colour. A tree data structure can be constructed such that each of its nodes corresponds to some portion of the picture. A node is a leaf if the portion which it represents is 'simple'. Non-terminal nodes have so ...
... criterion is that all the picture elements in an area be the same, or at least similar, colour. A tree data structure can be constructed such that each of its nodes corresponds to some portion of the picture. A node is a leaf if the portion which it represents is 'simple'. Non-terminal nodes have so ...
Powerpoint
... A and B each have at least m rectangles/MBRs. Sum of areas of MBRs of A and B is minimum. ...
... A and B each have at least m rectangles/MBRs. Sum of areas of MBRs of A and B is minimum. ...
Heaps and Priority Queues
... If we load an array once and do thousands of searches on it, we want to make searching fast—so we would probably sort the array If we load a huge array and expect to do only a few searches, we probably don’t want to spend time sorting the array ...
... If we load an array once and do thousands of searches on it, we want to make searching fast—so we would probably sort the array If we load a huge array and expect to do only a few searches, we probably don’t want to spend time sorting the array ...
NODE
... • Link field points to a node (it contains a memory address) • If link field has a value of 0 (NULL or NIL) then node does not have a successor. • Then, “the link is terminated”: Data ...
... • Link field points to a node (it contains a memory address) • If link field has a value of 0 (NULL or NIL) then node does not have a successor. • Then, “the link is terminated”: Data ...
The Tree Data Model
... Arithmetic expressions are representable by labeled trees, and it is often quite helpful to visualize expressions as trees. In fact, expression trees, as they are sometimes called, specify the association of an expression’s operands and its operators in a uniform way, regardless of whether the assoc ...
... Arithmetic expressions are representable by labeled trees, and it is often quite helpful to visualize expressions as trees. In fact, expression trees, as they are sometimes called, specify the association of an expression’s operands and its operators in a uniform way, regardless of whether the assoc ...
Lecture Notes - McMaster Computing and Software
... certain aspect of a program. An ADT encapsulates all the definitions and the operations relevant to a data type. ...
... certain aspect of a program. An ADT encapsulates all the definitions and the operations relevant to a data type. ...
Range Searching
... • When cell(v) ⊆ R, complexity is linear in output size. • It suffices to bound the number of nodes v visited for which the boundaries of cell(v) and R intersect. • If cell(v) outside R, we don’t search it; if cell(v) inside R, we enumerate all points in region of v; a recursive call is made only if ...
... • When cell(v) ⊆ R, complexity is linear in output size. • It suffices to bound the number of nodes v visited for which the boundaries of cell(v) and R intersect. • If cell(v) outside R, we don’t search it; if cell(v) inside R, we enumerate all points in region of v; a recursive call is made only if ...
MS Word - School of Computer Science Student WWW Server
... justification documents on the values of quantities provided by the equipment. Check these assumptions against the restrictions on use of the equipment…. ...
... justification documents on the values of quantities provided by the equipment. Check these assumptions against the restrictions on use of the equipment…. ...
Chapter 19 Data Structures
... • What if we don’t know the number of days for our weather program? • Can’t allocate array, because don’t know maximum number of days that might be required • Even if we do know the maximum number, it might be wasteful to allocate that much memory because most of the time only a few days’ worth of d ...
... • What if we don’t know the number of days for our weather program? • Can’t allocate array, because don’t know maximum number of days that might be required • Even if we do know the maximum number, it might be wasteful to allocate that much memory because most of the time only a few days’ worth of d ...
Range Queries in Non-blocking k
... its sequence number is incremented. An update or search in the trie reads this sequence number seq when it starts and, while traversing the trie, it duplicates each node whose sequence number is less than seq. The update then performs a variant of a double-compare-single-swap operation to atomically ...
... its sequence number is incremented. An update or search in the trie reads this sequence number seq when it starts and, while traversing the trie, it duplicates each node whose sequence number is less than seq. The update then performs a variant of a double-compare-single-swap operation to atomically ...
Tree-based Data Structures for Triangle Mesh Connectivity Encoding
... diverse techniques have emerged for the encoding of triangle mesh connectivity, each one with some advantages over all the others when a particular class of meshes is considered. Some of the earlier techniques include the encoding of the connectivity as a permutation of the vertices [5], the topolog ...
... diverse techniques have emerged for the encoding of triangle mesh connectivity, each one with some advantages over all the others when a particular class of meshes is considered. Some of the earlier techniques include the encoding of the connectivity as a permutation of the vertices [5], the topolog ...
Chapter 10: Trees
... Note 9. Some books will dene the length of a path as the number of nodes in the path, not the number of edges. This will have an eect on the remaining denitions and the details of many theorems and proofs of these theorems. It is important to know which denition is being used. In these notes, it ...
... Note 9. Some books will dene the length of a path as the number of nodes in the path, not the number of edges. This will have an eect on the remaining denitions and the details of many theorems and proofs of these theorems. It is important to know which denition is being used. In these notes, it ...
p - CS1001.py
... In fact, "atomic" types, such as int or float, may also be considered structures, albeit primitive ones. • The choice of data structures for a particular problem depends on desired operations and complexity constraints. • The term Abstract Data Type (ADT) emphasizes the point that the user (client) ...
... In fact, "atomic" types, such as int or float, may also be considered structures, albeit primitive ones. • The choice of data structures for a particular problem depends on desired operations and complexity constraints. • The term Abstract Data Type (ADT) emphasizes the point that the user (client) ...
ICOM4015-lec18
... Self Test 1. Arrays and lists remember the order in which you added elements; sets do not. Why would you want to use a set instead of an array or list? 2. Why are set iterators different from list iterators? ...
... Self Test 1. Arrays and lists remember the order in which you added elements; sets do not. Why would you want to use a set instead of an array or list? 2. Why are set iterators different from list iterators? ...
Biased Leftist Trees and Modi ed Skip Lists1 1 Introduction
... While the search, insert, and delete algorithms for skip lists are simple and have probabilistic complexity O(log n) when the level 1 chain has n elements, skip lists suer from the following implementational drawbacks: 1. In programming languages such as Pascal, it isn't possible to have variable s ...
... While the search, insert, and delete algorithms for skip lists are simple and have probabilistic complexity O(log n) when the level 1 chain has n elements, skip lists suer from the following implementational drawbacks: 1. In programming languages such as Pascal, it isn't possible to have variable s ...
VBI-Tree: A Peer-to-Peer Framework for
... new routing node splits its covered region into two sub regions using node splitting algorithm. After that, a new routing node is created to replace the data node; two new data nodes are created and linked as children of the new routing node; sub regions and data covered by these regions are assigne ...
... new routing node splits its covered region into two sub regions using node splitting algorithm. After that, a new routing node is created to replace the data node; two new data nodes are created and linked as children of the new routing node; sub regions and data covered by these regions are assigne ...
Linked Lists Introduction to Linked Lists Node Organization Empty List
... - empty node, immediately before the first node in the list, not visible to users of the class - eliminates need for most special cases - internal traversals must skip that node ...
... - empty node, immediately before the first node in the list, not visible to users of the class - eliminates need for most special cases - internal traversals must skip that node ...
Data Structure and Algorithm Analysis part 4
... binary tree is so regular, it can be represented in an array and no pointers are necessary. For any element in array position i, the left child is in position 2i, the right child is in the cell after that left child (2i+1), and the parent is in position i/2. ...
... binary tree is so regular, it can be represented in an array and no pointers are necessary. For any element in array position i, the left child is in position 2i, the right child is in the cell after that left child (2i+1), and the parent is in position i/2. ...
Binomial, Fibonacci, and Pairing Heaps
... comparisons performed to execute extractmin operations exclusively involve keys stored in the roots of trees, and (c) a common side effect of a comparison between two root keys is the linking of the respective roots: one tree becomes a new subtree joined to the other root. A tree is considered heap-o ...
... comparisons performed to execute extractmin operations exclusively involve keys stored in the roots of trees, and (c) a common side effect of a comparison between two root keys is the linking of the respective roots: one tree becomes a new subtree joined to the other root. A tree is considered heap-o ...
pptx
... Every node is either red or black Root is black Every leaf is NIL and is black If a node is red, then both its children are black For each node, all simple paths from this node to its decedent leaves contain same number of black nodes ...
... Every node is either red or black Root is black Every leaf is NIL and is black If a node is red, then both its children are black For each node, all simple paths from this node to its decedent leaves contain same number of black nodes ...
root parent child leaf node edge
... Leftmost binary tree: like a complete binary tree, except that the bottom level might not be completely filled in; however, all leaves at bottom level are as far to the left as possible. ...
... Leftmost binary tree: like a complete binary tree, except that the bottom level might not be completely filled in; however, all leaves at bottom level are as far to the left as possible. ...
Conc-Trees for Functional and Parallel Programming
... Before attempting a dierent append implementation, note the correspondence between a linked list of trees of dierent levels and the digits of dierent weights in a standard binary number representation. This correspondence is induced by linking two Conc-Tree nodes of the same level with a new <> n ...
... Before attempting a dierent append implementation, note the correspondence between a linked list of trees of dierent levels and the digits of dierent weights in a standard binary number representation. This correspondence is induced by linking two Conc-Tree nodes of the same level with a new <> n ...
Binary tree
In computer science, a binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child. A recursive definition using just set theory notions is that a (non-empty) binary tree is a triple (L, S, R), where L and R are binary trees or the empty set and S is a singleton set. Some authors allow the binary tree to be the empty set as well.From a graph theory perspective, binary (and K-ary) trees as defined here are actually arborescences. A binary tree may thus be also called a bifurcating arborescence—a term which actually appears in some very old programming books, before the modern computer science terminology prevailed. It is also possible to interpret a binary tree as an undirected, rather than a directed graph, in which case a binary tree is an ordered, rooted tree. Some authors use rooted binary tree instead of binary tree to emphasize the fact that the tree is rooted, but as defined above, a binary tree is always rooted. A binary tree is a special case of an ordered K-ary tree, where k is 2.In computing, binary trees are seldom used solely for their structure. Much more typical is to define a labeling function on the nodes, which associates some value to each node. Binary trees labelled this way are used to implement binary search trees and binary heaps, and are used for efficient searching and sorting. The designation of non-root nodes as left or right child even when there is only one child present matters in some of these applications, in particular it is significant in binary search trees. In mathematics, what is termed binary tree can vary significantly from author to author. Some use the definition commonly used in computer science, but others define it as every non-leaf having exactly two children and don't necessarily order (as left/right) the children either.