Document
... • First node visited on given level should be First node to which we return What data structure does this imply? A queue Nyhoff, ADTs, Data Structures and Problem Solving with C++, Second Edition, © 2005 Pearson Education, Inc. All rights reserved. 0-13-140909-3 ...
... • First node visited on given level should be First node to which we return What data structure does this imply? A queue Nyhoff, ADTs, Data Structures and Problem Solving with C++, Second Edition, © 2005 Pearson Education, Inc. All rights reserved. 0-13-140909-3 ...
CS525W: Webware
... Decisions: What are the nodes? Are the links part of the nodes? Can nodes be added/deleted… At the head? At the tail? In the middle? ...
... Decisions: What are the nodes? Are the links part of the nodes? Can nodes be added/deleted… At the head? At the tail? In the middle? ...
CS 171: Introduction to Computer Science II Linked List
... it does not contain the object. • A reference is a memory address to the actual object. • All references are of the same size: (regardless of what they point to) – 4 bytes in a 32-bit program – 8 bytes in a 64-bit program ...
... it does not contain the object. • A reference is a memory address to the actual object. • All references are of the same size: (regardless of what they point to) – 4 bytes in a 32-bit program – 8 bytes in a 64-bit program ...
The Union of Probabilistic Boxes: Maintaining the Volume
... contained in all the boxes that intersect it. For each cell, compute the probability that at least one of its covering boxes is active. By the linearity of expectation, the expected volume is simply the sum of the volumes of these cells weighted by their probability of being covered. This naı̈ve alg ...
... contained in all the boxes that intersect it. For each cell, compute the probability that at least one of its covering boxes is active. By the linearity of expectation, the expected volume is simply the sum of the volumes of these cells weighted by their probability of being covered. This naı̈ve alg ...
Dept. of Electrical Engineering, Sogang University
... B: multiplication (n): execution time in terms of normalized time unit (u.t.; units of time) ...
... B: multiplication (n): execution time in terms of normalized time unit (u.t.; units of time) ...
Linked Lists
... • We can already store collections of objects in arrays and array lists – why would we need other data structures…? • Arrays are fine, but not perfect in all respects • What do we actually do with a data structure? RHS – SWC ...
... • We can already store collections of objects in arrays and array lists – why would we need other data structures…? • Arrays are fine, but not perfect in all respects • What do we actually do with a data structure? RHS – SWC ...
Comparative Study of 2-heap, Skew
... worst-case sequence, it would be a time per operation much smaller than the worst-case time. It is called kind of averaging over time amortization.As it has been stated that, Skew heap is less structure oriented and does not follow structural constraint. So, this data structure can be in any arbitra ...
... worst-case sequence, it would be a time per operation much smaller than the worst-case time. It is called kind of averaging over time amortization.As it has been stated that, Skew heap is less structure oriented and does not follow structural constraint. So, this data structure can be in any arbitra ...
Package `data.tree`
... • "check": if the name conformance should be checked and warnings should be printed in case of non-conformance (the default) • "no-warn": if the name conformance should be checked, but no warnings should be printed in case of non-conformance (if you expect nonconformance) • "no-check" or FALSE: if t ...
... • "check": if the name conformance should be checked and warnings should be printed in case of non-conformance (the default) • "no-warn": if the name conformance should be checked, but no warnings should be printed in case of non-conformance (if you expect nonconformance) • "no-check" or FALSE: if t ...
Space-Efficient Data Structures for Top-k
... • Range is split in two subranges, can proceed recursively using a priority queue to retrieve top-k ...
... • Range is split in two subranges, can proceed recursively using a priority queue to retrieve top-k ...
the lecture notes from the Foundations of Computer Science module
... that the specification is complete or non-ambiguous. For simple problems, it is often easy to see that a particular algorithm will always work, i.e. that it satisfies its specification. However, for more elaborate specifications and/or algorithms, the fact that an algorithm satisfies its specificati ...
... that the specification is complete or non-ambiguous. For simple problems, it is often easy to see that a particular algorithm will always work, i.e. that it satisfies its specification. However, for more elaborate specifications and/or algorithms, the fact that an algorithm satisfies its specificati ...
Data structures 2
... So far we have assumed that we can store an entire data structure in main memory What if we have so much data that it won’t fit? We will have to use disk storage but when this happens our time complexity fails The problem is that Big-Oh analysis assumes that all operations take roughly equal time Th ...
... So far we have assumed that we can store an entire data structure in main memory What if we have so much data that it won’t fit? We will have to use disk storage but when this happens our time complexity fails The problem is that Big-Oh analysis assumes that all operations take roughly equal time Th ...
Hashing
... If two cluster are only separated by one entry, then inserting one key into a cluster can merge the two clusters together. Thus, the cluster size can increase drastically by a single insertion. This means that the performance of insertion can deteriorate drastically after a single insertion. ...
... If two cluster are only separated by one entry, then inserting one key into a cluster can merge the two clusters together. Thus, the cluster size can increase drastically by a single insertion. This means that the performance of insertion can deteriorate drastically after a single insertion. ...
Chapter10
... Node: comparison drawn as a circle Leaf: rectangle representing final node ordering Root node: top node in the figure Branch: straight line connecting two nodes Path: sequence of branches between nodes ...
... Node: comparison drawn as a circle Leaf: rectangle representing final node ordering Root node: top node in the figure Branch: straight line connecting two nodes Path: sequence of branches between nodes ...
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.