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• Contents: CS2
  == Data Structures and Abstract Data Types == ... emory to try to optimize either the memory usage or the time to access the data. This brings up the classic trade-off in Computer Science: the trade-off b ...
  3 KB (390 words) - 08:08, 15 January 2010
• Asymptotic Measures
  ... as the size of the problem changes. That is, what is the scalability of a data structure or an algorithm? Therefore, we often classify the time or space usage of a data structure or an algorithm using asymptotic measures. There are six standar ...
  14 KB (2352 words) - 05:24, 5 April 2010
• Hash Tables
  ... ile (if disk space is used). Each record has a key field and an associated data field. The record is stored in a location that is based on its key. The fu ... ... a structures, hash tables are most useful when large numbers of records of data are to be stored.
  28 KB (4671 words) - 02:30, 19 January 2012
• Graph ADTs
  [[Image:6n-graf.svg|thumb|250px|A labeled graph of 6 vertices and 7 edges.]] ... lements of V, which are connected by edges, the elements of E. Formally, a graph, G, is defined as an ordered pair, G=(V,E), where V is a set (usually fini ...
  2 KB (410 words) - 15:49, 22 October 2009
• Representing Graphs
  {{CS2:BookNav|base=/|up=Contents: CS2|prev=Graph ADTs|next=Variations of Graph ADTs}} ... the adjacency matrix is a (0,1)-matrix with zeros on its diagonal. If the graph is undirected, the adjacency matrix is symmetric.
  5 KB (932 words) - 10:36, 26 May 2009
• Data Structures/Hash Tables
  {{Data Structures/ChapNav}} In [[computer science]], a '''hash table''', or a '''hash map''', is a data structure that associates ''keys'' with ''values''. The primary operation ...
  31 KB (4902 words) - 14:13, 9 April 2009
• Data Structures/Tree Axioms
  ... lement"; you can conceive a tree in this definition which does not fit the graph theoretic definition. ... of trees. To compensate, a short section at the beginning introduces the graph-theoretic definition of the trees we will be studying.
  1 KB (228 words) - 14:13, 9 April 2009
• Data Structures/Graphs
  {{Data Structures/ChapNav}} ... called nodes) and edges (also called arcs) that connect these vertices. A graph is a generalization of the tree structure, where instead of a strict paren ...
  8 KB (1298 words) - 14:13, 9 April 2009
• Data Structures
  This book is about the creation and analysis of efficient data structures. This book covers: * '''list structures''' built from either nodes or arrays;
  6 KB (838 words) - 14:13, 9 April 2009
• D.12: Algorithm Design
  relationship to data structures.''' functions, combinatorics, sequences, series, graph theory, and matrices to
  3 KB (343 words) - 15:17, 23 June 2011
• PSU
  ... are presented and the advantages and disadvantages of each are discussed. Structures include lists of several types, stacks, queues, trees, binary trees, B-tre ... *Apply data abstraction in a C++ programming problem.
  2 KB (267 words) - 19:51, 29 October 2011
• PSU-CS260
  ... are presented and the advantages and disadvantages of each are discussed. Structures include lists of several types, stacks, queues, trees, binary trees, B-tre ... *Apply data abstraction in a C++ programming problem.
  2 KB (271 words) - 17:05, 3 November 2011
• Paradigmatic data structures and algorithms
  ... n/order of the locations, from a table by using only one column, or from a graph by ignoring edges. * move, assign, splice, swap structures, item, or ranges (range copy forward or backward), move/shift within one s ...
  7 KB (947 words) - 11:15, 21 September 2019

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