Linked Lists
... num = console.nextInt(); first = null; while (num != -999) { newNode = new Node(); // create a node newNode.info = num; // store the data in newNode newNode.link = first; // put newNode at front of list first = newNode; // update the head of the list num = console.nextInt(); // get the next number ...
... num = console.nextInt(); first = null; while (num != -999) { newNode = new Node(); // create a node newNode.info = num; // store the data in newNode newNode.link = first; // put newNode at front of list first = newNode; // update the head of the list num = console.nextInt(); // get the next number ...
A practical scalable distributed B-tree.
... replicated version numbers associated with each B-tree node to check if the node has been updated. We replicate these version numbers across all servers and keep them consistent. (3) We lazily replicate B-tree inner nodes at clients, so that clients can speculatively navigate the inner B-tree withou ...
... replicated version numbers associated with each B-tree node to check if the node has been updated. We replicate these version numbers across all servers and keep them consistent. (3) We lazily replicate B-tree inner nodes at clients, so that clients can speculatively navigate the inner B-tree withou ...
DATA STRUCTURES The term data structure is used to describe the
... apointer to the third node, ... and so on. The last node in the list has its next field set toNULL to mark the end of the list. Code can access any node in the list by starting at thestart and following the next pointers. The start pointer is an ordinary local pointer variable, so it is drawn separa ...
... apointer to the third node, ... and so on. The last node in the list has its next field set toNULL to mark the end of the list. Code can access any node in the list by starting at thestart and following the next pointers. The start pointer is an ordinary local pointer variable, so it is drawn separa ...
Lecture Notes on Tries
... The problem is that there are too many potential words on the grid, so we want to consider prefixes and abort the search when a prefix does not start a word. For example, if we start in the upper right-hand corner and try horizontally first, then EF is a prefix for a number of words, but EFR, EFD, E ...
... The problem is that there are too many potential words on the grid, so we want to consider prefixes and abort the search when a prefix does not start a word. For example, if we start in the upper right-hand corner and try horizontally first, then EF is a prefix for a number of words, but EFR, EFD, E ...
pptx
... • Bag in which data items are Comparable • Smaller elements (determined by compareTo()) have higher priority • remove() return the element with the highest priority = least element in the compareTo() ordering ...
... • Bag in which data items are Comparable • Smaller elements (determined by compareTo()) have higher priority • remove() return the element with the highest priority = least element in the compareTo() ordering ...
ppt
... • Bag in which data items are Comparable • Smaller elements (determined by compareTo()) have higher priority • remove() return the element with the highest priority = least element in the compareTo() ordering ...
... • Bag in which data items are Comparable • Smaller elements (determined by compareTo()) have higher priority • remove() return the element with the highest priority = least element in the compareTo() ordering ...
binary tree
... A queue is a container of objects that are inserted according to the first in first out (FIFO) principle Objects can be inserted into a queue at any time, but only the element that was in the queue the longest can be removed at any time We say that elements enter the queue at the rear and are remove ...
... A queue is a container of objects that are inserted according to the first in first out (FIFO) principle Objects can be inserted into a queue at any time, but only the element that was in the queue the longest can be removed at any time We say that elements enter the queue at the rear and are remove ...
Data Structures Using C(cs221) - Prof. Ramkrishna More Arts
... reduction step in the kth level there will be 2k sublists. Each level uses at most n comparisons. So the time complexity is O(n log n) Worst case: If the list is already sorted then at first level, first list is empty and second list contains (n-1) elements. Accordingly the second element require (n ...
... reduction step in the kth level there will be 2k sublists. Each level uses at most n comparisons. So the time complexity is O(n log n) Worst case: If the list is already sorted then at first level, first list is empty and second list contains (n-1) elements. Accordingly the second element require (n ...
Quadtree
A quadtree is a tree data structure in which each internal node has exactly four children. Quadtrees are most often used to partition a two-dimensional space by recursively subdividing it into four quadrants or regions. The regions may be square or rectangular, or may have arbitrary shapes. This data structure was named a quadtree by Raphael Finkel and J.L. Bentley in 1974. A similar partitioning is also known as a Q-tree. All forms of quadtrees share some common features: They decompose space into adaptable cells Each cell (or bucket) has a maximum capacity. When maximum capacity is reached, the bucket splits The tree directory follows the spatial decomposition of the quadtree.