data structure research papers
Fundamentals of data structures
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For many years a data structures course has been taught in computer science programs. Often it is regarded as a central course of the curriculum. It is fascinating and instructive to trace the history of how the subject matter for this course has changed. Back in the
Some refinement algorithms and data structures for regular local mesh refinement
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Abstract. In this paper, we consider local mesh refreshment algorithms and data structures for nite element methods for linear elliptic partial differential equations in the plane. Quadrilateral and triangular are treated in a fashion. Because we restrict the local
Data structures for weighted matching and nearest common ancestors with linking
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Abstract. This paper shows that the weighted matching problem on general graphs can be solved in time O (n (m+ n log n)), f or n and m the number of vertices and edges, respectively. This was previously known only for bipartite graphs. It also shows that a
Data structures and problem solving using Java
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The programs and applications presented in this book have been included for their instructional value. They have been tested with care, but are not guaranteed for any particular purpose. The publisher does not offer any warranties or representations, nor
Data structurestheir algorithms
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Using only practically useful techniques, this book teaches methods for organizing, reorganizing, exploring, and retrieving data in digital computers, and the mathematical analysis of those techniques. The authors present analyses that are relatively brief and
Some techniques for proving correctness of programs which alter data structures
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Consider the following sequence of instructions in a list-processing language With roughly ALGOL 60 syntax and LISP semantics (hd (head) is LISP CAR and tl (tail) is LISP CDR). x:=
Data structures and algorithm analysis in C
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This book describes data structures, methods of organizing large amounts of data, and algorithm analysis, the estimation of the running time of algorithms. As computers become faster and faster, the need for programs that can handle large amounts of input becomes
Reactive data structures for geographic information systems
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Abstract We introduce a Reactive Data Structure, that is a spatial data structure with detail levels. The two properties, spatial organization and detail levels, are the basis for a Geographic Information System with a multi-scale database. A reactive data structure is a
Rp*: A family of order preserving scalable distributed data structures
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ABSTRACT Hash-based scalable distributed data structures (SDDSs), like LH* and DDH, for networks of interconnected computers (multicomputers) were shown to open new perspectives for file management. We propose a family of ordered SDDSs, called RP*,
Solutions Manual: A Practical Introduction to Data Structures and Algorithm Analysis
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For most of the problems requiring an algorithm I have given actual code. In a few cases I have presented pseudo code. Please be aware that the code presented in this manual has not actually been compiled and tested. While I believe the algorithms to be essentially
Data structures and algorithms in Java
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Course Name : Computer Science II ( DataStructuresAlgorithms Analysis ) Course Type : Departments Total Theoretical PracticalCourse Description: This course covers Fundamental of data structures as linked lists, trees, queues, stacks, graphs and hash tables.
Debugging Haskell by Observing Intermediate Data Structures.
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Abstract Haskell has long needed a debugger. Although there has been much research into the topic of debugging lazy func tional programs, no robust tool has yet come from the Haskell community that can help debug full Haskell-until now. This paper describes a
Cache-oblivious algorithms and data structures
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Abstract. A recent direction in the design of cache-efficient and disk efficient algorithms and data structures is the notion of cache obliviousness, introduced byCache-oblivious algorithms perform well on a multilevel
Classic data structures in C+
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Classic data structures in C++
Data structuresalgorithms in Java
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Evolving Data Structures with Genetic Programming.
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Abstract Genetic programming (GP) is a subclass of genetic algorithms (GAs), in which evolving programs are directly represented in the chromosome as trees. Recently it has been shown that programs which explicitly use directly addressable memory can be
Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory.
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Abstract The predicted shift to non-volatile, byte-addressable memory (eg, Phase Change Memory and Memristor), the growth of big data, and the subsequent emergence of frameworks such as memcached and NoSQL systems require us to rethink the design of
Interfacing Solid Modeling to CAD and CAM: Data Structures and Algorithms for Decomposing
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Just as research in computer graphics in the 1960's led to the development of contemporary CAD/CAM systems, so is research in geometric modeling in the 1970's likely to be the core of a new generation of CAD/CAM systems in the 80's. One of the goals of
Data structures for generalised arc consistency for extensional constraints
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Abstract Extensional (table) constraints are an important tool for attacking combinatorial problems with constraint programming. Recently there has been renewed interest in fast propagation algorithms for these constraints. We describe the use of two alternative data
Computer data structures
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14 Exercises 1-7 to 1-26 2. A SIMPLE EXAMPLE OF LINKED AND SEQUENTIAL REPRE- SENTATIONS 30 Exercises 2-1 to 2-5 3. LINEAR DATASTRUCTURES 45 3-1. Linear Relations and Lists 45 3-2. Linked Representation of Lists 47 The collection and processing of digital image data based on photographs, drawings, and maps is currently undergoing a period of rapid growth. Industry, universities, and governmental agencies are producing an ever- increasing volume and variety of such data. In recent years a
Algorithmsdata structures
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A program can be designed with the barest of tools, paper and pencil, or in the programmer's head. In the realm of such informal environments, a program design may contain vague concepts expressed in an informal notation. Before he or she can execute
Data Structures in C++: Using the Standard Template Library (STL)
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Timothy Budd takes an exciting new approach to teaching data structures by incorporating the power of the Standard Template Library (STL). This book represents a reversal of the traditional presentation. Before concentrating on writing programs, Dr. Budd emphasizes
Data types and data structures
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6.7. 7 Functions on sequences with only one parameter 120 6.1. 2 Some functions with two parameters 121 6.1. 3 How to construct specifications 125 6.1. 4 Sequences with a" point of interest" 129 6.1. 5 The occasional need for" hidden functions" 131 6.1. 6 The specification The computational processes taking place in data-processing systems are generated at various levels of interaction between the hardware and the programs. The fundamental mathematical model used to study such processes is the composition of two systems-
An evaluation of exhaustive testing for data structures
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ABSTRACT We present an evaluation of exhaustive testing of linked data structures with sophisticated structural constraints. Specifically, we use the Korat testing framework to systematically enumerate all legal inputs within a certain size. We then evaluate the
Cluster size in multilevel models: the impact of sparse data structures on point and interval estimates in two-level models
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Abstract Sample size at each level is important to consider when estimating multilevel models. Although general sample size guidelines have been suggested, the nature of social science survey research (eg, large number of level-2 units with few individuals per unit)
Data Structures for Simplicial Complexes: An Analysis And A Comparison.
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Abstract In this paper, we review, analyze and compare representations for simplicial complexes. We classify such representations, based on the dimension of the complexes they can encode, into dimension-independent structures, and data structures for three-and
Cache-oblivious data structures
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The memory system of most modern computers consists of a hierarchy of memory levels, with each level acting as a cache for the next; for a typical desktop computer the hierarchy consists of registers, level 1 cache, level 2 cache, level 3 cache, main memory, and disk.
Data structures in Pascal
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Doubly Linked Lists and Dynamic Storage Management
Geometric data structures for computer graphics
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In recent years, methods from computational geometry have been widely adopted by the computer graphics community. Many solutions draw their elegance and efficiency from the mutually enriching combination of such geometrical data structures with computer
Efficient Data Structures For Tamper-Evident Logging.
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Abstract Many real-world applications wish to collect tamperevident logs for forensic purposes. This paper considers the case of an untrusted logger, serving a number of clients who wish to store their events in the log, and kept honest by a number of auditors who will
The cell probe complexity of succinct data structures
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In the cell probe model (eg, [1,3,4,6,7,9,18,19,20,21]), a boolean static data structure problem is given by a map f : {0, 1}n{0, 1}m{0, 1}, where {0, 1}n is a set of possible data to be stored, {0, 1}m is a set of possible queries and f(x, y) is the answer to question y about
Succinct data structures for retrieval and approximate membership
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The retrieval problem is the problem of associating data with keys in a set. Formally, the data structure must store a function f : U0, 1 rf : U{0, 1\}^ r that has specified values on the elements of a given set S U,| S|= n, but may have any value on elements outside S. All
Partially persistent data structures of bounded degree with constant update time
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Abstract The problem of making bounded in-degree and out-degree data structures partially persistent is considered. The node copying method of Driscoll et al. is extended so that updates can be performed in worst-case constant time on the pointer machine model.
Data structures for statistical computing in Python
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Abstract:In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to facilitate working with these data sets and to provide a set of fundamental building blocks
Using write protected data structures to improve software fault tolerance in highly available database management systems
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Abstract This paper describes a database management system (DBMS) modified to use hardware write protection to guard critical DBMS data structures against software errors. Guarding (write-protecting) DBMS data improves software reliability by providing quick
Functional data structures
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Efficient data structures have been studied extensively for over thirty years. Nowadays, when a C programmer needs an efficient data structure for a particular problem, he or she can often simply look one up in any of a number of good textbooks or handbooks. However,
Efficient and practical non-blocking data structures
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Abstract This thesis deals with how to design and implement efficient, practical and reliable concurrent data structures. The design method using mutual exclusion incurs serious drawbacks, whereas the alternative non-blocking techniques avoid those problems and
Advanced data structures
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This book is a graduate-level textbook on data structures. A data structure is a method1 to realize a set of operations on some data. The classical example is to keep track of a set of items, the items identified by key values, so that we can insert and delete (key, item) pairs
Data structures
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Data structures for Z testing tools
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Abstract: This paper describes some of the difficulties and challenges that arise during the design of tools for validating Z specifications by testing and animation. We address three issues: handling undefined terms, simplification versus enumeration, and the
for Data: Differentiating Data Structures.
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Abstract. This paper and our conference paper (Abbott, Altenkirch, Ghani, and McBride, 2003b) explain and analyse the notion of the derivative of a data structure as the type of its one-hole contexts based on the central observation made by McBride (2001). To make the
Concurrent data structures
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The proliferation of commercial shared-memory multiprocessor machines has brought about significant changes in the art of concurrent programming. Given current trends towards lowcost chip multithreading (CMT), such machines are bound to become ever more
Data structures and algorithms
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Abstract This article attempts to outline the basic concepts of structuring data and of constructing algorithms in a methodical manner. The methods are explained with a few simple and typical examples. The programmer's principal concerns for correctness and
Adding Knowledge And Efficient Data Structures To Evolutionary Programming: A Cultural Algorithm For Constrained Optimization.
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Abstract This paper proposes a technique in which domain knowledge obtained from the search is used to improve the performance of evolutionary programming. Our approach is based on the concept of a cultural algorithm and is applied to constrained optimization
Application of hierarchical data structures to geographical information systems: phase II
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This report documents the research conducted under Phase II of Contract DAAK70-81-C- 0059/P00007. The report was prepared for the US Army Engineer Topographic Laboratories (ETL), Ft. Belvoir, Virginia 22060. The Contracting Officer'3 Representative was Mr.
Dynamic spatial data structures-the Voronoi approach
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To most users of geographic information systems the underlying spatial data structure linking the parts of the map together, along with the way the system designers imagined" space" to be constructed, appear to be of little direct relevance. In this paper 8 however, I
Data structures for simplicial multi-complexes
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Abstract. The Simplicial Multi-Complex (SMC) is a general multi resolution model for representing k-dimensional spatial objects through simplicial complexes. An SMC integrates several alternative representations of an object and offers simple methods for handling The basic principles of macro conveyor organization of computations, which is a promising reserve. got enhancing the efficiency of multiprocessor computer systems, were finally formulated in 1978 and discussed in [11. Implementation of maeroeonveyor computations
A survey of geometric data structures for ray tracing
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Abstract Ray tracing is a computer graphics technique for generating photo-realistic images. To determine the color at each pixel of the image, one traces the path traversed by each ray of light arriving at the pixel back through several reflections and/or refractions. The most
Dependently typed data structures
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Abstract The mechanism for declaring datatypes in functional programming languages such as ML and Haskell is of great use in practice. This mechanism, however, often suffers from its imprecision in capturing invariants inherent in data structures. We remedy the situation
3D Parallel Mesh Adaptivity: Data-Structures and Algorithms.
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Abstract The e client solution of transient CFD problems on distributed memory computers requires the use of parallel adaptive meshing. We will discuss issues arising in the parallelisation of a general-purpose, unstructured, tetrahedral adaptivity code. In particular
Application of hierarchical data structures to geographical information systems: Phase IV
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ABSTRACT. This document is the report for Phase IV of an investigation into the application of hierarchical data structures to geographical information systems. Subjects reported on include new representations for linear feature data, new techniques for reducing node
The practical generation and use of geographic triangular element data structures
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ABSTRACT Most computer contour mapping of irregularly spaced data points is performed using an intermediate rectangular grid. An alternative method is proposed whereby a map area is automatically divided into suitable triangular domains with a data point at each
Efficient data structures for model-based 3-D object recognition and localization from range images
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ABSTRACT p An effective method of surface characterization of 3D objects using surface curvature properties and an efficient approach to recognizing and localizing multiple 3D free- form objects (free-form object recognition and localization) are presented. The approach is
Data Structures and Algorithms
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Answer: there are problems which are difficult or very difficult, and even on the fastest computers, they still take a lot of time or space to solve. Moreover, some problems can be solved efficiently, but bad designs will take too much time or space. Therefore, we must Although programmers are familiar with the con- cepts of data structures, data types, and data abstractions, they may not immediately recognize the relationships among these concepts or be able to look at them in a unified way. The objective of this tutorial-clearly defining these
Hardware acceleration for lock-free data structures and software-transactional memory
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ABSTRACT In this paper, we report on a new CPU-architecture extension proposal, named Advanced Synchronization Facility (ASF), which is geared toward accelerating and easing lock-free programming and software transactional memory (STM). We present an initial
Spatial operators for selected data structures
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ABSTRACT The discipline of mathematics is characterized by a small, fundamental set of operators which, when taken in concert, support complex manipulations and analyses. In a similar sense, higher levels of spatial applications programming are founded upon a
Improvements of the voxmap-pointshell algorithm-fast generation of haptic data-structures
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ABSTRACT The Voxmap-PointShellTM (VPS) Algorithm is a haptic rendering algorithm able to compute collision responses with 1 kHz update-rates with arbitrarily complex scenarios. This work introduces fast algorithms to generate the two haptic data-structures used by the
Data structures and algorithms
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INTRODUCTION OBJECTIVE The teaching module for Data Structures and Algorithms is intended to be used as teaching and learning reference as a practical problem-solving class activity. CONTENT OF THE MODULE The module consists of three parts: Key concepts, Programming In this paper we propose a to expressing the functional behavior of computer programs and systems that embody concurrency in their operation, and apply it to a functional programming language in which constructive operations on data structures
Use of a mobile robot in a data structures course
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ABSTRACT Although robots are commonly used in advanced computer science courses, such as Articial Intelligence, they are rarely used in lower level courses such as Beginning Programming or Data Structures. Allowing freshman and sophomores to use stimulating
Assessing the benefits of interactivity and the influence of learning styles on the effectiveness of algorithm animation using Web-based data structures
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Computer-assisted instruction (CAI) has been used for several decades, but the development of the new multimedia technology and the possibility of creating courseware that can be accessed by students worldwide by hosting it on the World Wide Web presents
Succinct data structures
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A suffix tree (40 years old last year) permits search for any arbitrary query string in time proportional to the query string. But the usual space for the tree can be prohibitive Most users, especially in Bioinformatics as well as Open Text and ManberMyers went to
Automatic assessment of exercises for algorithms and data structures–a case study with TRAKLA2
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Abstract This paper presents the results of the case study introducing TRAKLA2 system in the course of data structures and algorithms at the University of Turku in 2004. We compared students' learning results with the results of the previous year. The numerical course
Certification and Authentication of Data Structures.
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Abstract We study query authentication schemes, algorithmic and cryptographic constructions that provide efficient and secure protocols for verifying the results of queries over structured data in untrusted or adversarial data distribution environments. We
Object-oriented runtime support for complex distributed data structures
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Abstract Object-oriented applications utilize language constructs such as pointers to synthesize dynamic complex data structures, such as linked lists, trees and graphs, with elements consisting of complex composite data types. Traditionally, however, applications
Dynamic searchable encryption in very-large databases: Data structures and implementation
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Abstract We design and implement dynamic symmetric searchable encryption schemes that efficiently and privately search server-held encrypted databases with tens of billions of record-keyword pairs. Our basic theoretical construction supports single-keyword The designing of algorithms for solvi~ problems in modern programming starts with the consideration of the functional model of the program. This model contains definitions of functions that are to be computed by the program and constitute its specification. The
Memory-side prefetching for linked data structures
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Abstract This work studies a memory-side prefetching technique to hide latency incurred by inherently serial accesses to linked data structures (LDS). A programmable prefetch engine sits close to memory and traverses LDS independently from the processor. The prefetch
Representation of nonlinear data structures through a fast VQP neural network
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Abstract. The Vector Quantization and Projection neural netWork (VQP) is a kind of Self- Organizing Map (SOM) Where neurons are not Xed on an a priori dened discrete lattice, as in Kohonen maps: they nd their position in a continuous output projection space
Tree data structures for graphics and image processing
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ABSTRACT This paper presents a systematic development of hierarchical, or tree-based, representations of digital pictures which have been proposed for use in computer graphics and image processing. Starting with the one dimensional case, the development proceeds
Learning and retention in data structures: A comparison of visualization, text, and combined methods
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Abstract: Numerous studies have been conducted to evaluate the effect of animated visualizations on students learning data structures, but few have attempted to evaluate the retention of information gained from visualizations. Our work focuses on comparing
Lock-free data structures
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After Generic< Programming> has skipped one instance (it's quite naive, I know, to think that grad school asks for anything less than 100% of one's time), there has been an embarrassment of riches as far as topic candidates for this article go. One topic candidate
Data structures for range-aggregate extent queries
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Abstract A fundamental and well-studied problem in computational geometry is range searching, where the goal is to preprocess a set, S, of geometric objects (eg, points in the plane) so that the subset S' S that is contained in a query range (eg, an axes-parallel
Parallel data structures for symbolic computation
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Abstract Symbolic applications often require dynamic irregular data structures, such as linked lists, unbalanced trees, and graphs, and they exhibit unpredictable computational patterns that lead to asynchronous communication and load imbalance when parallelized.
Term Description: A Simple Powerful Extension to Prolog Data Structures.
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ABSTRACT Term description is a simple, powerful extension of terras. For example, functional notation and lazy execution of a program is introduced in a very natural manner without changing the basic mechanism of the computation, such as unification and
Efficient reduction of 3D simulation results based on spacetree data structures for dataanalysis in Virtual Reality environments
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ABSTRACT Direct simulation of HVAC (Heat, Ventilation, Air-conditioning systems) during the design phase of a building has just started to find its place in practical engineering. Despite recent progress in the domain of computational fluids dynamics (CFD), less
AI algorithms, data structures, and idioms in Prolog, Lisp, and Java
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Page 1. i AI Algorithms, DataStructures, and Idioms in Prolog, Lisp, and Java George F. Luger What is more important, AI has done much to shape our thinking about program organization, datastructures, knowledge representation, and other elements of the software craft.
Data structures for irregular applications
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Abstract Parallelization of any large application can be a di cult task, but when the application contains irregular patterns of communication and control, the parallelization e ort is higher and the likelihood of producing an e cient implementation is lower. The kinds of
Geometric Boundary Modelling Without Topological Data Structures
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1. Background The basic elements used in geometry are matherriatical manifolds/1/. Having the Euclidian distance to define R-diameter neighbourhoods and these further to define open sets, we get the natural topology of point sets in space. The relative subtopology of a
Dynamic data structures on multiple storage media.
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In this chapter, we recall the basic concepts of data structures and searching problems. This chapter is not meant as a general introduction to these topics; we only recall the most important concepts that are used in this thesis. Readers who are not familiar with the ABSTRACT p A Delta-shaped data structure that is more compact and efficient under certain conditions than existing ones is proposed. The method has excellent storage efficiency (6E, with E being the total number of edges) and provides improved access time Many multivariate data sets in the behavioral sciences consist of data from individuals nested within groups. Such data can be found in many different fields of research. For example, in educational research, students are often studied within classrooms. In
Proving Productivity in Infinite Data Structures.
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Abstract. For a general class of infinite data structures including streams, binary trees, and the combination of finite and infinite lists, we investigate the notion of productivity. This generalizes stream productivity. We develop a general technique to prove productivity
Integrating complex data structures in Prolog
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Abstract. Computer Science has produced several data structures and algorithms on them to e ciently solve computational problems. Some algorithms require destructive operations for their e cient implementation or have other properties which make them di cult to
Data structures and algorithms for contact detection in numerical simulation of discrete particle systems
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Collision detection is a basic computational problem arising in systems consisting of many objects, particles or atoms. It is fundamental to many applications, including computer games, physically based simulations and others. The Discrete Element Method (DEM) is a
Objects, abstraction, data structures and design using C++
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This is an undergraduate course which is a follow-up to an introductory programming course. The goal of that first course can be viewed as gaining the ability to write computer programs for accomplishing tasks. The key in that course was that programs must work
Compact data structures with fast queries
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Abstract Many applications dealing with large data structures can benefit from keeping them in compressed form. Compression has many benefits: it can allow a representation to fit in main memory rather than swapping out to disk, and it improves cache performance since it
Using persistent data structures for adding range restrictions to searching problems
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Abstract.-The problem of adding range restrictions to decomposable searching problems is considered. First, atechnique is given that makes an arbitrary dynamic data structure partially persistent. Then, atechnique is given that transforms a partially
External Memory Geometric Data Structures
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Page 1. External Memory Geometric DataStructures Lars Arge Duke University June 28, 2002 Summer School on Massive Datasets Page 2. Lars Arge External memory datastructures 2 YesterdayFan-out B-tree ( )Degree
Visualising uncertainty in spatially-referenced attribute data using hierarchical spatial data structures
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Abstract This paper presents the use of hierarchical spatial data structures to visualise uncertainty in spatial information. This is demonstrated using spatial data from the New Zealand 2001 Census. Current visualisation of uncertainty techniques are evaluated, and
Data structures for the analysis of large structured Markov models
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Advancements in technology demand increasingly complex systems. The widespread growth of the internet and wireless communications, for instance, have fueled research in techniques for analyzing large systems. The design of such a system almost certainly
Fusible Data Structures for Fault-Tolerance.
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Upper and lower bounds for text indexing data structures
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Abstract The main goal of this thesis is to investigate the complexity of a variety of problems related to text indexing and text searching. We present new data structures that can be used as building blocks for full-text indices which occupies minute space (FM-indexes) and
Type theoretical foundations for data structures, classes, and objects
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THEORETICAL FOUNDATIONS FOR DATASTRUCTURES, CLASSES, AND OBJECTS
Concepts of outlyingness for various data structures
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Abstract. The term outlier is probably one of the vaguest and most imprecise ones in statistical science. There is no formal definition of an outlier, which all statisticians agree upon. However, for a univariate normal null-model Davies and Gather ([12][13]) have
New data structures for matrices and specialized inner kernels: Low overhead for high performance
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Abstract Dense linear algebra codes are often expressed and coded in terms of BLAS calls. This approach, however, achieves suboptimal performance due to the overheads associated to such calls. Taking as an example the dense Cholesky factorization of a
Topologically robust mesh modeling: concepts, data structures, and operations
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Abstract We extend the theory of graph rotation systems and provide a solid foundation for 2- manifold mesh modeling. Based on this theory, we identify a group of simple validity rules, and show that the validity of 2-manifold structures can be tested very efficiently on all
Design and analysis of data structures for dynamic trees
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Abstract The dynamic trees problem is that of maintaining a forest that changes over time through edge insertions and deletions. We can associate data with vertices or edges and manipulate this data, individually or in bulk, with operations that deal with whole paths or
Scalable Distributed Data Structures for High-Performance Databases.
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Abstract Present databases, whether on centralized or parallel DBMSs, do not deal well with scalability. We present an architecture for Wintel multicomputers termed AMOS-SDDS, coupling a high-performance main-memory DBMS AMOS-II and a manager of Scalable
Exploiting data structures in a high performance video server for TV archives
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Abstract One of the key components in a multimedia interactive system is the continuous media server which is mainly dedicated to support the storage, retrieval and delivery of video streams. In this context, researchs were focused on the way to optimize the server
A model theoretic approach to the theory of abstract data types and data structures
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Abstract we propose in this report a theory of abstract data types based on the first order predicate calculus.'That is, we are in some sense reverting to first principles as espoused by Hoare. However, we do not want to abandon the important contributions of the algebraic
Pattern matching through Chaos Game Representation: bridging numerical and discrete data structures for biological sequence analysis.
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Abstract Background: Chaos Game Representation (CGR) is an iterated function that bijectively maps discrete sequences into a continuous domain. As a result, discrete sequences can be object of statistical and topological analyses otherwise reserved to This volume contains the papers presented at WADS 2013: Algorithms and Data Structures Symposium (formerly Workshop on Algorithms and Data Structures) held during August 11 13, 2013, in London, Ontario. WADS alternates with the Scandinavian Workshop on
Change detection for topographic mapping using three-dimensional data structures
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ABSTRACT: Identifying significant changes to our urban areas is a prerequisite for accurate topographic mapping. This paper presents an approach based on octree data structures to identify change between two sets of point cloud data. The aim of the study was to establish
Dynamic data structures: Finite files, limiting profiles and variance analysis
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Abstract Dynamic data structures for priority queues, dictionaries.., are izfl under sequences of arbitrary insert, delete and query operations in various contexts when the universe of keys is finite both exact and asymptotic estimates are provided; when the universe of keys is After having compared the values of variables zi and zil and of function fi in state p~ we can convince ourselves that the value of variable zi does not coincide with the value of fi (p~). Obviously, this is also the case in state ps. Thus, in state Ps, variable zi will be excited. It
Algorithm and data structures for implementing a mass-spring deformable model on GPU
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Abstract: The current paper proposes data structures and an algorithm for implementing a general mass-spring system on the modern programmable graphics processors. A mass- spring cloth model was implemented to run on GPU using the GL shading language and
Efficient data structures for fast sat solvers
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Abstract The implementation of efficient Boolean Satisfiability (SAT) solvers entails the utilization of highly efficient data structures, as illustrated by most of the recent state-of-the- art SAT solvers. However, it is in general hard to compare existing data structures, since Various kinds of hypergraphs have been extensively used in computer science as a mathematical model suitable to represent concepts and structures from different domains: rewriting systems, databases, logic programming, problem solving. In all cases
Overview of digital audio interface data structures
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The following information is provided for convenience, but by no means constitutes the entire specification. Also included is information from the IEC958 and the new AES3-199x and TC84 documents. The AES3-199x and TC84 documents have not received approval
Glift: generic data structures for graphics hardware
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I am humbled by the large number of people who have directly and indirectly contributed to this thesis. Throughout my time at UC Davis, I have had the great fortune to work with an
data structures algorithm
Data structures and algorithm analysis in C
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This book describes data structures, methods of organizing large amounts of data, and algorithm analysis, the estimation of the running time of algorithms. As computers become faster and faster, the need for programs that can handle large amounts of input becomes
Solutions Manual: A Practical Introduction to Data Structures and Algorithm Analysis
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For most of the problems requiring an algorithm I have given actual code. In a few cases I have presented pseudocode. Please be aware that the code presented in this manual has not actually been compiled and tested. While I believe the algorithms to be essentially
Adding Knowledge And Efficient Data Structures To Evolutionary Programming: A CulturalAlgorithm For Constrained Optimization.
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Abstract This paper proposes a technique in which domain knowledge obtained from the search is used to improve the performance of evolutionary programming. Our approach is based on the concept of a cultural algorithm and is applied to constrained optimization
Improvements of the voxmap-pointshell algorithm-fast generation of haptic data-structures
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ABSTRACT The Voxmap-PointShellTM (VPS) Algorithm is a haptic rendering algorithm able to compute collision responses with 1 kHz update-rates with arbitrarily complex scenarios. This work introduces fast algorithms to generate the two haptic data-structures used by the
Assessing the benefits of interactivity and the influence of learning styles on the effectiveness of algorithm animation using Web-based data structures
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Computer-assisted instruction (CAI) has been used for several decades, but the development of the new multimedia technology and the possibility of creating courseware that can be accessed by students worldwide by hosting it on the World Wide Web presents
Fault classification in structures with incomplete measured data using autoassociative neural networks and genetic algorithm
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A method for fault classification in mechanical systems in the presence of missing data entries is introduced. The method is based on autoassociative neural networks where the network is trained to recall the input data through some nonlinear neural network mapping
Algorithm and data structures for implementing a mass-spring deformable model on GPU
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Abstract: The current paper proposes data structures and an algorithm for implementing a general mass-spring system on the modern programmable graphics processors. A mass- spring cloth model was implemented to run on GPU using the GL shading language and
Improved algorithm and data structures for modularity analysis of large networks
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Abstract Graph clustering is an important problem in the analysis of computer networks, social networks, biological networks and many other natural and artificial networks. These networks are in general very large and, thus, finding hidden structures and functional
Tabu programming method: A new meta-heuristics algorithm using tree data structuresfor problem solving
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Abstract The core of artificial intelligence and machine learning is to get computers to solve problems automatically. One of the great tools that attempt to achieve that goal is Genetic Programming (GP). GP is a generalization procedure of the well-known meta-heuristic of
A Hybrid Genetic Algorithm Approach to a Departmental Class Timetabling Problem Using Efficient Data Structures
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ABSTRACT The application of Genetic Algorithm with a local search operation performed within its loop has provided very accurate results, but the algorithm take a lot of time to arrive at an optimal solution. This paper describes the use of a Hybrid Genetic Algorithm using
Interactivity in Data Structures and Algorithm Courses with SKA for RBTs
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Abstract:Developments in multimedia and e-learning software have prompted many academics to express interest in using educational software. In our research, we have designed an extension of an algorithm visualization (AV) system, with the goal of
A Practical Introduction to Data Structures and Algorithm Analysis Third Edition (C++ Version)
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We study data structures so that we can learn to write more efficient programs. But why must programs be efficient when new computers are faster every year The reason is that our ambitions grow with our capabilities. Instead of rendering efficiency needs obsolete, the
A Practical Introduction to Data Structures and Algorithm Analysis Third Edition (Java Version)
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We study data structures so that we can learn to write more efficient programs. But why must programs be efficient when new computers are faster every year The reason is that our ambitions grow with our capabilities. Instead of rendering efficiency needs obsolete, the
A Practical Introduction to Data Structures and Algorithm Analysis Third Edition (Java)
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We study data structures so that we can learn to write more efficient programs. But why must programs be efficient when new computers are faster every year The reason is that our ambitions grow with our capabilities. Instead of rendering efficiency needs obsolete, the
Grouping Genetic Algorithm with Efficient Data Structures for the University Course Timetabling Problem
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An efficient grouping genetic algorithm (GGA) was proposed by R. Lewis and B. Paechter (2007) to find feasible timetables for a version of the university course timetabling problem (UCTP). The algorithm proved to be efficient to construct feasible solutions for the UCTP
2D GPR DATA ANALYSIS OF CONCRETE STRUCTURES USING MIGRATION VELOCITY SIMULATION ALGORITHM
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ABSTRACT Ground Penetrating Radar is becoming increasingly popular to use as a non- destructive assessment method for investigating reinforced concrete structures. The large amount of data collected take significant level of experience to interpret. Ground
Material Characterization of Structures Using Genetic Algorithm and Viberational Data
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The aim of this worth is to present a technique to identify elastic parameters of composite materials.
Evolutionary algorithm for learning Bayesian structures from data
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Abstract: In this paper we report an evolutionary approach to learning Bayesian networks from data. We explain reasons, which advocate such a non-deterministic approach. We analyze weaknesses of previous works and come to conclusion that we should operate in
Data Structures and Programming Techniques for the Implementation of Karmarkar'sAlgorithm
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This paper describes data structures and programming techniques used in an implementation of Karmarkar's algorithm for linear programming. Most of our discussion focuses on applying Gaussian elimination toward the solution of a sequence of sparse
Dynamic Data Structures: The Interplay of Invariants and Algorithm Design
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English In this thesis I will address three dynamic data structure problems using the concept of invariants. The first problem is maintaining a dynamically changing set of keys dictionary where the queries we can ask are: does it contain a given key and what is the
Implementation of the fastpc algorithm: data structures and distributions
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give a randomized algorithm for solving pure packing and covering linear programs. Here, a packing problem is of the form max {Mx= b, x= 0}, and a covering problem is of the form min, where the entries in the
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