6 edition of Efficient structures for geometric data management found in the catalog.
|Series||Lecture notes in computer science ;, 337|
|LC Classifications||QA76.9.D35 G86 1988|
|The Physical Object|
|Pagination||xi, 135 p. :|
|Number of Pages||135|
|LC Control Number||88031848|
Geometric data structures for computer graphics: an overview. Theoretical Foundations of Computer Graphics and CAD, () Computing on a free tree via complexity-preserving mappings. Goals: At the end of this course participants should be able - to decide which algorithm or data structure to use in order to solve a given basic geometric problem, - to analyze new problems and come up with their own efficient solutions using concepts and techniques from the course.
Combinatorial computational geometry. The primary goal of research in combinatorial computational geometry is to develop efficient algorithms and data structures for solving problems stated in terms of basic geometrical objects: points, line segments, polygons, polyhedra, etc.. Some of these problems seem so simple that they were not regarded as problems at all until the advent of computers. Of Concurrent Data Structures and Iterations. Algorithms, Probability, Networks, and Games, () Space efficient data structures for dynamic orthogonal range counting.
Efficient structures for geometric data management. PhD thesis, Computer Science Division, University of California at Berkeley, Berkeley, CA, Also Vol. 37 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, West Germany, and Electronics Research Laboratory Memorandum UCB/ERL M87/ Dr. Goodrich's research is directed at the design of high performance algorithms and data structures with applications to information assurance and security, the Internet, .
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The efficient management of geometric data, such as points, curves, or polyhedra in arbitrary dimensions, is of great importance in many complex database applications like CAD/CAM, robotics, or computer vision. To provide optimal support for geometric operations, it is crucial to choose efficient.
The efficient management of geometric data, such as points, curves, or polyhedra in arbitrary dimensions, is of great importance in many complex database applications like CAD/CAM, robotics, or computer vision.
To provide optimal support for geometric operations, it is crucial to choose efficient data representation schemes. Efficient structures for geometric data management. Berlin ; New York: Springer-Verlag, © (OCoLC) Material Type: Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: Oliver Günther.
The efficient management of geometric data, such as points, curves, or polyhedra in arbitrary dimensions, is of great importance in many complex database applications like CAD/CAM, robotics, or Read more. This book describes data structures from the point of view of functional languages. The author includes both classical data structures, such as red-black trees, and a host of new data structures developed exclusively for functional languages.
( views) Algorithms and Data Structures: With Applications to Graphics and Geometry. () Operators and representation schemes for geometric data. In: Günther O. (eds) Efficient Structures for Geometric Data Management. Lecture Notes in Computer Science, vol Depth-first search (DFS) is a well-known graph traversal algorithm and can be performed in O (n + m) time for a graph with n vertices and m edges.
We consider the dynamic DFS problem, that is, to maintain a DFS tree of an undirected graph G under the condition that edges and vertices are gradually inserted into or deleted from present an algorithm for this problem, which takes worst-case. Data structures are how data is stored within a computer, and how one can go about searching for data within.
This text examines efficient ways to search and update sets of numbers, intervals, or strings by various data structures, such as search trees, structures for sets of intervals or piece-wise constant functions, orthogonal range search Reviews: Offered by EIT Digital.
Course Information: In many areas of computer science such as robotics, computer graphics, virtual reality, and geographic information systems, it is necessary to store, analyze, and create or manipulate spatial data. This course deals with the algorithmic aspects of these tasks: we study techniques and concepts needed for the design and analysis of geometric.
Data structures and tools from computational geometry help to solve problems in computer graphics; these methods have been widely adopted by the computer graphics community yielding elegant and efficient algorithms. This book focuses on algorithms and data structures that have proven to be versatile, efficient, fundamental, and easy to implement.
Efficient Algorithmic Techniques for Several Multidimensional Geometric Data Management and Analysis Problems Article October with 9 Reads How we measure 'reads'.
Algorithms are a central concept in computer science. The German Science Foundation (DFG) started a special joint initiative on data structures and efficient algorithms in with the aim of encouraging collaborative research on algorithms.
For a period of five years about a. Book Description. A Versatile Framework for Handling Subdivided Geometric Objects. Combinatorial Maps: Efficient Data Structures for Computer Graphics and Image Processing gathers important ideas related to combinatorial maps and explains how the maps are applied in geometric modeling and image processing.
It focuses on two subclasses of combinatorial maps: n-Gmaps and n-maps. Data Structures and Algorithms. This note covers the following topics: Fundamentals of data structure, simple data structures, ideas for algorithm design, the TABLE Data Type, free storage management, sorting, storage on external media, variants on the SET Data Type, pseudo-random numbers, data compression, algorithms on graphs, algorithms on strings and Geometric Algorithms.
In fact, Part VI of the book is intended to show the usefulness of data structures for the purpose of efficient implementation of algorithms that manipulate geometric objects. In spite of being a comprehensive compendium of algorithms and data structures, the book can, and has been used successfully, in undergraduate courses dealing with.
Data Structures, Computer Graphics, and Pattern Recognition focuses on the computer graphics and pattern recognition applications of data structures methodology.
This book presents design related principles and research aspects of the computer graphics, system design, data management, and pattern recognition tasks. A data structure is a data organization, management and storage format that enables efficient access and modification.
This list of algorithm books for beginners very helpful. If you want to write any program in any language then Data Structure and Algorithm are one of the key topics for any programmer. Prior knowledge of DS and Algo: If you are already well versed with the basic data structures like Arrays, Linked Lists etc.
and some of the basic algorithms like Sorting, Searching etc. then you will comparatively take much less time than a complete newbie as you already know the basics. For example if you even don’t understand the.
The MovingPandas (Graser ) is a recent library for dealing with movement data, providing the user several functions and interfaces with Geographical DataBase Management Systems and. Course Information: In many areas of computer science such as robotics, computer graphics, virtual reality, and geographic information systems, it is necessary to store, analyze, and create or manipulate spatial data.
This course deals with the algorithmic aspects of these tasks: we study techniques and concepts needed for the design and analysis of geometric algorithms and data structures.
An efficient geometric shape coding and representation approach to obtain both skeleton and contours. / Yoon, Ji Won. ACM IMCOM Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication.
Association for Computing Machinery, Inc, a4.Eppstein and M.T. Goodrich, Space-Efficient Straggler Identification in Round-Trip Data Streams via Newton's Identities and Invertible Bloom Filters, Proc.
Workshop on Algorithms and Data Structures (WADS), LNCSSpringer, pp.CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Many of the previous chapters have shown that efficient strategies for complex datastructuring problems are essential in the design of fast algorithms for a variety of applications, including combinatorial optimization, information retrieval and Web search, databases and data mining, and geometric applications.