pptx - David Lillis
... public interface ITree {
public INode root();
public INode parent(INode n);
public IIterator> children(INode n);
public boolean isInternal(INode n);
public boolean isExternal(INode n);
public boolean isRoot(INode n);
...
... public interface ITree
Document
... • In a max-heap, if the value at a node becomes less than the key of any of its children, the heap property can be restored by swapping the current node and the child with maximum key value, repeating this process if necessary until – the key at the node is greater than or equal to the keys of both ...
... • In a max-heap, if the value at a node becomes less than the key of any of its children, the heap property can be restored by swapping the current node and the child with maximum key value, repeating this process if necessary until – the key at the node is greater than or equal to the keys of both ...
Document
... • In a max-heap, if the value at a node becomes less than the key of any of its children, the heap property can be restored by swapping the current node and the child with maximum key value, repeating this process if necessary until – the key at the node is greater than or equal to the keys of both ...
... • In a max-heap, if the value at a node becomes less than the key of any of its children, the heap property can be restored by swapping the current node and the child with maximum key value, repeating this process if necessary until – the key at the node is greater than or equal to the keys of both ...
Indexing Structure for File
... Defined on an ordered data file The data file is ordered on a non-key field unlike primary index, which requires that the ordering field of the data file have a distinct value for each record. Includes one index entry for each distinct value of the field; the index entry points to the first data blo ...
... Defined on an ordered data file The data file is ordered on a non-key field unlike primary index, which requires that the ordering field of the data file have a distinct value for each record. Includes one index entry for each distinct value of the field; the index entry points to the first data blo ...
ppt presentation
... is the focus of a rotation or PANIC during this time interval. It is possible to choose C large enough in the algorithm INSERTB and DELETEB to guaranty that these algorithm never apply the PANIC block to a node of rank greater than max(3ξ,9). ...
... is the focus of a rotation or PANIC during this time interval. It is possible to choose C large enough in the algorithm INSERTB and DELETEB to guaranty that these algorithm never apply the PANIC block to a node of rank greater than max(3ξ,9). ...
Document
... • In a max-heap, if the value at a node becomes less than the key of any of its children, the heap property can be restored by swapping the current node and the child with maximum key value, repeating this process if necessary until – the key at the node is greater than or equal to the keys of both ...
... • In a max-heap, if the value at a node becomes less than the key of any of its children, the heap property can be restored by swapping the current node and the child with maximum key value, repeating this process if necessary until – the key at the node is greater than or equal to the keys of both ...
Trees
... public static int size(TreeNode root) { if (root == null) return 0; Enumeration enum = root.children(); int result = 1; // count the root. while (enum.hasMoreElement()) { result += size((TreeNode) enum.nextElement()); ...
... public static int size(TreeNode root) { if (root == null) return 0; Enumeration enum = root.children(); int result = 1; // count the root. while (enum.hasMoreElement()) { result += size((TreeNode) enum.nextElement()); ...
Exam 1
... A doubly linked list is one where each node has two pointers – one points to the next node, and one points to the previous node. The "next" pointer for the last node points to NULL, as does the "previous" pointer for the first node. Suppose you are given a class List, which contains a linked structu ...
... A doubly linked list is one where each node has two pointers – one points to the next node, and one points to the previous node. The "next" pointer for the last node points to NULL, as does the "previous" pointer for the first node. Suppose you are given a class List, which contains a linked structu ...
Chapter 17: Indexing Structures for Files and Indexing Structures for
... of one of the record’s fields. • The multilevel index is a variation of a search tree: • where each node in the multilevel index has as many as fo(fan out) pointers and fo key values. • The index field values in each node guide us to the next node until we reach the data The index field values in e ...
... of one of the record’s fields. • The multilevel index is a variation of a search tree: • where each node in the multilevel index has as many as fo(fan out) pointers and fo key values. • The index field values in each node guide us to the next node until we reach the data The index field values in e ...
CSC401: Analysis of Algorithms
... following the above level numbering Properties: Let n be the number of nodes of T, N be the size of the vector S, and PM be the maximum value of p(v) over all the nodes of T ...
... following the above level numbering Properties: Let n be the number of nodes of T, N be the size of the vector S, and PM be the maximum value of p(v) over all the nodes of T ...
Deletion
... The approach to deletion is to first delete with BST deletion algorithm, and then fix the redblack properties afterwards. ...
... The approach to deletion is to first delete with BST deletion algorithm, and then fix the redblack properties afterwards. ...
Review: Pastry routing tables - Stanford Secure Computer Systems
... • Leaf sets: Node closest to target could be dead - Need to find next closest - That’s why leaf sets not just one neighbor (O(log N )) - Easy to update leaf sets by contacting other nearby nodes ...
... • Leaf sets: Node closest to target could be dead - Need to find next closest - That’s why leaf sets not just one neighbor (O(log N )) - Easy to update leaf sets by contacting other nearby nodes ...
1 Persistent Data Structures
... • if full, overrides one of standard fields for any accesses later than stamped time. • access rule – standard access, just check for overrides while following pointers – constant factor increase in access time. • update rule: – when need to change/copy pointer, use extra field if available. – other ...
... • if full, overrides one of standard fields for any accesses later than stamped time. • access rule – standard access, just check for overrides while following pointers – constant factor increase in access time. • update rule: – when need to change/copy pointer, use extra field if available. – other ...
Bitwise Operators
... • First in, last out data structure. • Can ‘pop’ or ‘push’ things to the top of the ...
... • First in, last out data structure. • Can ‘pop’ or ‘push’ things to the top of the ...
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.