# Data structures for graphs

Xem 1-20 trên 26 kết quả Data structures for graphs
• ### Data Structures and Algorithms: Graphs

Data Structures and Algorithms: Graphs products Data structures for graphs, Graph traversal, Depth-first search, Breadth-first search, Directed graphs, Shortest paths, Dijkstra's Algorithm, Minimum spanning trees.

• ### Graphs

Graphsv includes Graphs (Definition, Applications, Terminology, Properties, ADT); Data structures for graphs (Edge list structure, Adjacency list structure, Adjacency matrix structure).

• ### DATA STRUCTURES AND ALGORITHMS USING VISUAL BASIC.NET

This is the first Visual Basic.NET (VB.NET) book to provide a comprehensive discussion of the major data structures and algorithms. Here, instead of having to translate material on C++ or Java, the professional or student VB.NET programmer will find a tutorial on how to use data structures and algorithms and a reference for implementation using VB.NET for data structures and algorithms from the .NET Framework Class Library as well as those that must be developed by the programmer.

• ### introduction to algorithms (3rd edition): part 2

(bq) part 1 book "introduction to algorithms" has contents: data structures for disjoint sets, elementary graph algorithms, minimum spanning trees, single source shortest paths, maximum flow, multithreaded algorithms, matrix operations,...and other contents.

• ### Data Structures and Algorithms Using C#: Part 2

Part 2 consists of 7 chapters introduce content: Linked Lists, Binary Trees and Binary Search Trees, Sets, Advanced Sorting Algorithms, Advanced Data Structures and Algorithms for Searching, Graphs and Graph Algorithms, Advanced Algorithms.

• ### Data Structures & Algorithms in Java

This second edition of Data Structures and Algorithms in Java has been augmented to make it easier for the reader and for instructors using it as a text in computer science classes. Besides coverage of additional topics, we’ve added end-of-chapter questions, experiments, and programming projects.

• ### Báo cáo khoa học: "TRANSFORMING SYNTACTIC GRAPHS SEMANTIC GRAPHS*"

In this paper, we present a computational method for transforming a s y n t a c t i c g r a p h , which represents all syntactic interpretations of a sentence, into a s e m a n t i c g r a p h which filters out certain interpretations, but also incorporates any remaining ambiguities. We argue that the resulting ambiguous graph, supported by an exclusion matrix, is a useful data structure for question answering and other semantic processing. Our research is based on the principle that ambiguity is an inherent aspect of natural...

• ### Lecture ECE 250 - Algorithms and data structures: Mathematical background

This topic reviews the basic mathematics required in this course: A justification for a mathematical framework, the ceiling and floor functions, L’Hôpital’s rule, logarithms, arithmetic and other polynomial series, geometric series, recurrence relations, weighted averages, combinations.

• ### Lecture ECE 250 - Algorithms and data structures: Asymptotic analysis

In this topic, we will look at: Justification for analysis, quadratic and polynomial growth, counting machine instructions, Landau symbols, Big-Q as an equivalence relation, little-o as a weak ordering.

• ### Lecture ECE 250 - Algorithms and data structures: Algorithm analysis

In this topic, we will examine code to determine the run time of various operations. We will introduce machine instructions, we will calculate the run times of: operators +, -, =, +=, ++, etc; control statements if, for, while, do-while, switch; functions; recursive functions.

• ### Lecture ECE 250 - Algorithms and data structures: Node-based storage with arrays

In this presentation, we covered: Dealing with node-based allocation with arrays; internally, it is still a linked list, only the nodes are contiguous in memory; it is no longer necessary to call the operating system for each new node; doubling the memory used is straight-forward; to halve the memory used, we just follow the linked list.

• ### Structural testing

Structural Testing is used to verify the static strength, or fatigue strength of a component by applying measured loads to the test item. Testing can be done to failure, to contractual requirements or to validate finite element model predictions. DTB has successfully completed thousands of structural tests on items ranging in size and complexity from simple coupons to entire aircraft. Fatigue Testing is carried out with the objective of determining the relationship between the stress range and the number of times it can be applied before causing failure....

Data Structures and Algorithms: Table of Contents Data Structures and Algorithms Alfred V. Aho, Bell Laboratories, Murray Hill, New Jersey John E. Hopcroft, Cornell University, Ithaca, New York Jeffrey D.

• ### ALGORITHMSROBERT SEDGEWIK

A Classic Reference The latest version of Sedgewick’s best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. Broad Coverage Full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty algorithms every programmer should know. See algs4.cs.princeton.edu/code

• ### Chapter 9 - Graph•

A Graph G consists of a set V, whose members are called the vertices of G, together with a set E of pairs of distinct vertices from V. • The pairs in E are called the edges of G. • If the pairs are unordered, G is called an undirected graph or a graph. Otherwise, G is called a directed graph or a digraph. • Two vertices in an undirected graph are called adjacent if there is an edge from the first to the second.

• ### Báo cáo khoa học: "Graph Branch Algorithm: An Optimum Tree Search Method for Scored Dependency Graph with Arc Co-occurrence Constraints"

Various kinds of scored dependency graphs are proposed as packed shared data structures in combination with optimum dependency tree search algorithms. This paper classiﬁes the scored dependency graphs and discusses the speciﬁc features of the “Dependency Forest” (DF) which is the packed shared data structure adopted in the “Preference Dependency Grammar” (PDG), and proposes the “Graph Branch Algorithm” for computing the optimum dependency tree from a DF. This paper also reports the experiment showing the computational amount and behavior of the graph branch algorithm. ...

• ### Báo cáo khoa học: "A STRUCTURED REPRESENTATION OF WORD-SENSESIR OR SEMANTIC ANALYSIS"

A framework for a structured representation of semantic knowledge (e.g. word-senses) has been defined at the IBM Scientific Center of Roma, as part of a project on Italian Text Understanding. This representation, based on the conceptual graphs formalism [SOW84], expresses deep knowledge (pragmatic) on word-senses. The knowledge base data structure is such as to provide easy access by the semantic verification algorithm. This paper discusses some important problem related to the definition of a semantic knowledge base, as depth versus generality, hierarchical ordering of concept types, etc.

• ### PROGRAMMING CHALLENGES

There are many distinct pleasures associated with computer programming. Craftsmanship has its quiet rewards, the satisfaction that comes from building a useful object and making it work. Excitement arrives with the flash of insight that cracks a previously intractable problem. The spiritual quest for elegance can turn the hacker into an artist. There are pleasures in parsimony, in squeezing the last drop of performance out of clever algorithms and tight coding.

• ### INSTRUCTOR’S MANUAL

The updated Reading for Today series features a broad range of reading materials and resources to prepare students for academic success. The core of the series consists of reading passages of general and academic interest that provide a context for vocabulary development. The student books also contain a wealth of visual materials and nonlinear texts such as graphs, charts, maps and photographs.

• ### Báo cáo khoa học: "A Transition-Based Parser for 2-Planar Dependency Structures"

Finding a class of structures that is rich enough for adequate linguistic representation yet restricted enough for efﬁcient computational processing is an important problem for dependency parsing. In this paper, we present a transition system for 2-planar dependency trees – trees that can be decomposed into at most two planar graphs – and show that it can be used to implement a classiﬁer-based parser that runs in linear time and outperforms a stateof-the-art transition-based parser on four data sets from the CoNLL-X shared task. ...