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Data File Structures
Data File Structures

... In the best case, the comparison A[j] > v is executed only once on every iteration of the outer loop. Thus for sorted arrays, the number of key comparison is ...
Local Shading Models
Local Shading Models

... Display Lists (2) • The list can be: – GL_COMPILE: things don’t get drawn, just stored – GL_COMPILE_AND_EXECUTE: things are drawn, and also ...
Collections and Data Structures array vs ArrayList Using a collection
Collections and Data Structures array vs ArrayList Using a collection

Day35-Kruskal-Prim-Data Structures - Rose
Day35-Kruskal-Prim-Data Structures - Rose

PLSD210(ii) - University of Michigan
PLSD210(ii) - University of Michigan

optimizing algorithm using breadth first search manner
optimizing algorithm using breadth first search manner

Efficient Data Storage and Searching for Location Based Services
Efficient Data Storage and Searching for Location Based Services

Binary Trees and Binary Search Trees—C++ Implementations
Binary Trees and Binary Search Trees—C++ Implementations

Traversal of a Binary Tree
Traversal of a Binary Tree

... In this representation, there is no direct access to any node. It has to be traversed from the root to reach to a particular node. As compared to sequential representation, the memory needed per node is more. This is due to two link fields (left child and right child for binary trees) in the node. T ...
ppt
ppt

... component, explore all the neighboring nodes. Then for each of the neighbors, explore their unexplored neighbors until all nodes have been visited. The result of this search is the set of nodes reachable from s. Input: G=(V,E) and distinguished vertex s Output: a breadth first spanning tree with roo ...
Binary Search Trees
Binary Search Trees

Today`s Goals Self-referential Structures Linked Lists Singly and
Today`s Goals Self-referential Structures Linked Lists Singly and

slides
slides

... – first free block has address of n free blocks (the last of which has the address of the next n free blocks and so on) ...
Lecture 28 Non-blocking Algorithms
Lecture 28 Non-blocking Algorithms

... – Single thread in isolation completes in finite number of steps – Threads may prevent each other’s progress; live-lock possible – Example: optimistic retry ...
Intro to concurrency e.g. doubly-linked list is *not
Intro to concurrency e.g. doubly-linked list is *not

... Transform Order struct Node ...
Red-black tree
Red-black tree

p - s3.amazonaws.com
p - s3.amazonaws.com

... – coalesce self and next, and add to beginning of free list ...
The data structures presented so far are linear in that items are one
The data structures presented so far are linear in that items are one

... Trees come in many shapes. Two given trees might be different from each other even though they might contain the same number of nodes. We consider the height of a tree to be given by the number of levels in the tree. We can assume that nodes in a binary tree are organised in levels, each level repr ...
Notes2 - CS.Duke
Notes2 - CS.Duke

... for each union, then the resulting tree structure will just be an n element linked list (and therefore it is still possible for F IND(x) to take Ω(n) time). A straight forward way to fix this pitfall is to do what is called union-by-depth. For each tree Ti , we keep track of its depth di , or the lo ...
Document
Document

Persistent Data Structures
Persistent Data Structures

... A persistent vector in Clojure is implemented as an N-level trie (N <= 7), where the root and internal nodes are arrays of 32 references, and the leaves are arrays of 32 values ...
An O(n ) algorithm for online topological ordering
An O(n ) algorithm for online topological ordering

Binary Trees
Binary Trees

Notes (part 1)
Notes (part 1)

... A basis structure consists of a spanning tree T, a set L of arcs, and a set U of arcs, such that T  L  U = A. For each (i,j) L, xij = 0. For each (i,j)  U, xij = uij. The arc flows in T are selected so that each node satisfies its supply/demand constraint. The basis structure is feasible if the ...
Document
Document

... 14. Augmenting Data Structures ...
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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.
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