Heaps and PQs
... Non-Linked Representation of Binary Trees is a more efficient way of implementing heaps. Here all nodes are stored in an array in a certain order so that for each node it is easy to find its children and its parent ...
... Non-Linked Representation of Binary Trees is a more efficient way of implementing heaps. Here all nodes are stored in an array in a certain order so that for each node it is easy to find its children and its parent ...
Part I: 20 Multiple choice questions (2 points each)
... they are used, i.e., which elements of array data they describe – first and last elements in the queue? Next available slot in the queue? etc. (You may find it helpful to sketch your implementation of the queue operations before you finish this part of the question.) [There are many possible ways to ...
... they are used, i.e., which elements of array data they describe – first and last elements in the queue? Next available slot in the queue? etc. (You may find it helpful to sketch your implementation of the queue operations before you finish this part of the question.) [There are many possible ways to ...
PPT - UNSW
... priority queue is implemented with an unsorted list. Running time of Selection-sort: 1. Inserting the elements into the priority queue with n insert operations takes O(n) time. 2. Removing the elements in sorted order from the priority queue with n removeMin operations takes time proportional to ...
... priority queue is implemented with an unsorted list. Running time of Selection-sort: 1. Inserting the elements into the priority queue with n insert operations takes O(n) time. 2. Removing the elements in sorted order from the priority queue with n removeMin operations takes time proportional to ...
Accountable systems or how to catch a liar?
... SUNDR’s tricks to make strawman practical 1. Store FS as a hash tree ...
... SUNDR’s tricks to make strawman practical 1. Store FS as a hash tree ...
5.3.TSK
... disk. A HPA could be used to hide data so that it would not be copied during an acquisition. These tools are currently Linux-only. ...
... disk. A HPA could be used to hide data so that it would not be copied during an acquisition. These tools are currently Linux-only. ...
An Efficient Implementation of Max Tree with Linked List and Hash
... the array is adopted as the underlying data structure in recent implementations of the max tree [9] and sieve tree [5]. This approach is not memory efficient and in most cases the scale tree requires far more memory than it actually needs. Another disadvantage of using the array is that when an elemen ...
... the array is adopted as the underlying data structure in recent implementations of the max tree [9] and sieve tree [5]. This approach is not memory efficient and in most cases the scale tree requires far more memory than it actually needs. Another disadvantage of using the array is that when an elemen ...
Multiple choice questions Answer on Scantron Form
... The depth of a node in a tree is the distance from the node to the root of the tree. (The root has depth 0). Give a recursive routine which determines the depth of a node with a given key value in a binary search tree. If there is no node of the given key value, then -1 is returned. The run time of ...
... The depth of a node in a tree is the distance from the node to the root of the tree. (The root has depth 0). Give a recursive routine which determines the depth of a node with a given key value in a binary search tree. If there is no node of the given key value, then -1 is returned. The run time of ...
Efficient Substructure Discovery from Large Semi
... empty tree ⊥ of size 0. From the above lemma, the enumeration graph for T is acutually a tree with root ⊥. Hence, we can enumerate all trees in T by traversing in either the breadth-first or the depth-first manner. ...
... empty tree ⊥ of size 0. From the above lemma, the enumeration graph for T is acutually a tree with root ⊥. Hence, we can enumerate all trees in T by traversing in either the breadth-first or the depth-first manner. ...
Lecture - Binary Tree - Home
... It is an ordered tree with the following properties 1. Each node can have at most two subtrees 2. Each subtree is identified as being either left subtree or the right subtree of its parent 3. It may be empty Note: Property 1 says that each node can have maximum two children The order between the ...
... It is an ordered tree with the following properties 1. Each node can have at most two subtrees 2. Each subtree is identified as being either left subtree or the right subtree of its parent 3. It may be empty Note: Property 1 says that each node can have maximum two children The order between the ...
Final exam. Spring`03 (Yen)
... 5. Use recursive depth-first search to traverse the graph shown in Figure 1 with node 1 as the starting node. Write down the traversal sequence. (At any moment, if more than one node can be visited next, always select the one with the smallest value to visit first.) Answer: 1 4 6 2 3 5 7 8 ...
... 5. Use recursive depth-first search to traverse the graph shown in Figure 1 with node 1 as the starting node. Write down the traversal sequence. (At any moment, if more than one node can be visited next, always select the one with the smallest value to visit first.) Answer: 1 4 6 2 3 5 7 8 ...
B-tree
In computer science, a B-tree is a tree data structure that keeps data sorted and allows searches, sequential access, insertions, and deletions in logarithmic time. The B-tree is a generalization of a binary search tree in that a node can have more than two children (Comer 1979, p. 123). Unlike self-balancing binary search trees, the B-tree is optimized for systems that read and write large blocks of data. B-trees are a good example of a data structure for external memory. It is commonly used in databases and filesystems.