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... may be issued from a state of the data structure at any previous stage, not just the last version, producing a new diverging data structure. Branching is a common tool in software versioning systems, allowing several developers to concurrently work on parts of the software, creating tentative branch ...
... may be issued from a state of the data structure at any previous stage, not just the last version, producing a new diverging data structure. Branching is a common tool in software versioning systems, allowing several developers to concurrently work on parts of the software, creating tentative branch ...
A Brief Introduction to Quadtrees and Their Applications
... In this section we will look at the use of compressed quadtrees [5]. If we were to store every node corresponding to a subdivided cell, we may end up storing a lot of empty nodes. We can cut down on the size of such sparse trees by only storing subtrees whose leaves have interesting data (i.e. “impo ...
... In this section we will look at the use of compressed quadtrees [5]. If we were to store every node corresponding to a subdivided cell, we may end up storing a lot of empty nodes. We can cut down on the size of such sparse trees by only storing subtrees whose leaves have interesting data (i.e. “impo ...
powerpoint lecture
... Each node has at most two child nodes Node can have zero, one, or two child nodes Left child: child node to the left of the parent node Right child: child node to the right of the parent node Root: node that begins the tree Leaf node: node that has no child nodes Depth (level): distance from root no ...
... Each node has at most two child nodes Node can have zero, one, or two child nodes Left child: child node to the left of the parent node Right child: child node to the right of the parent node Root: node that begins the tree Leaf node: node that has no child nodes Depth (level): distance from root no ...
linked list
... We will now examine linked list operations: • Add an item to the linked list • We have 3 situations to consider: • insert a node at the front • insert a node in the middle • insert a node at the end • Delete an item from the linked list • We have 3 situations to consider: • delete the node at the fr ...
... We will now examine linked list operations: • Add an item to the linked list • We have 3 situations to consider: • insert a node at the front • insert a node in the middle • insert a node at the end • Delete an item from the linked list • We have 3 situations to consider: • delete the node at the fr ...
linked list
... We will now examine linked list operations: • Add an item to the linked list • We have 3 situations to consider: • insert a node at the front • insert a node in the middle • insert a node at the end • Delete an item from the linked list • We have 3 situations to consider: • delete the node at the fr ...
... We will now examine linked list operations: • Add an item to the linked list • We have 3 situations to consider: • insert a node at the front • insert a node in the middle • insert a node at the end • Delete an item from the linked list • We have 3 situations to consider: • delete the node at the fr ...
Fundamental Data Structures
... Array-based Implementation of a Stack in Ruby So far we have used a stack and its various operations without knowing how it is implemented, which is how it should be. As we discussed earlier in the course, an abstract data type (such as a stack) is defined by the operations, not by a specific implem ...
... Array-based Implementation of a Stack in Ruby So far we have used a stack and its various operations without knowing how it is implemented, which is how it should be. As we discussed earlier in the course, an abstract data type (such as a stack) is defined by the operations, not by a specific implem ...
Stacks Stack Abstract Data Type Stack (supporting methods) Stack
... Objects can be inserted into a stack at any time, but only the most recently inserted (“last”) object can be removed at any time E.g., Internet Web browsers store the address of recently visited sites on a stack A stack is a container of objects that are inserted according to the last in first out ( ...
... Objects can be inserted into a stack at any time, but only the most recently inserted (“last”) object can be removed at any time E.g., Internet Web browsers store the address of recently visited sites on a stack A stack is a container of objects that are inserted according to the last in first out ( ...
Conc-Trees for Functional and Parallel Programming
... The rst sum implementation decomposes the data structure xs into the rst element head and the remaining elements tail. Sum is computed by recursively adding head to the sum of tail. This implementation cannot be e ciently parallelized. The second sum implementation splits xs into two subtrees ls ...
... The rst sum implementation decomposes the data structure xs into the rst element head and the remaining elements tail. Sum is computed by recursively adding head to the sum of tail. This implementation cannot be e ciently parallelized. The second sum implementation splits xs into two subtrees ls ...
Priority Queues
... example, in Figure 5.3, the subtree whose root contains 24 has two children, but the first is empty. This practice can lead to ambiguity; for example, it is not clear whether the subtree rooted at 13 contains any children, or if they might all be empty. For this and other reasons, we often consider ...
... example, in Figure 5.3, the subtree whose root contains 24 has two children, but the first is empty. This practice can lead to ambiguity; for example, it is not clear whether the subtree rooted at 13 contains any children, or if they might all be empty. For this and other reasons, we often consider ...
Efficient Data Structures for Storing Partitions of Integers
... except for computing an index to an array. The enumeration can be done either with a restriction or without any restriction. Four data structures are investigated. The most efficient data structure need only store 0.75 n 2 + 3n + 3 integers if n is even or 0.75 n 2 + 3n + 2.25 if n is odd. It is cre ...
... except for computing an index to an array. The enumeration can be done either with a restriction or without any restriction. Four data structures are investigated. The most efficient data structure need only store 0.75 n 2 + 3n + 3 integers if n is even or 0.75 n 2 + 3n + 2.25 if n is odd. It is cre ...
Binary search tree
In computer science, binary search trees (BST), sometimes called ordered or sorted binary trees, are a particular type of containers: data structures that store ""items"" (such as numbers, names and etc.) in memory. They allow fast lookup, addition and removal of items, and can be used to implement either dynamic sets of items, or lookup tables that allow finding an item by its key (e.g., finding the phone number of a person by name).Binary search trees keep their keys in sorted order, so that lookup and other operations can use the principle of binary search: when looking for a key in a tree (or a place to insert a new key), they traverse the tree from root to leaf, making comparisons to keys stored in the nodes of the tree and deciding, based on the comparison, to continue searching in the left or right subtrees. On average, this means that each comparison allows the operations to skip about half of the tree, so that each lookup, insertion or deletion takes time proportional to the logarithm of the number of items stored in the tree. This is much better than the linear time required to find items by key in an (unsorted) array, but slower than the corresponding operations on hash tables.They are a special case of the more general B-tree with order equal to two.