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Algorithms And Data Structures by Workshop Wads '89 (1989 Ottawa%2c Ont.)

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1ECE 1026 - Algorithms And Data Structures

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Tri 2 2016/2017

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The book is available for download in "texts" format, the size of the file-s is: 2.18 Mbs, the file-s for this book were downloaded 7 times, the file-s went public at Sun May 05 2024.

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2TDS 2111 - Data Structures And Algorithms

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Trimester 1 2016/2017

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The book is available for download in "texts" format, the size of the file-s is: 1.65 Mbs, the file-s for this book were downloaded 60 times, the file-s went public at Sun May 05 2024.

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3ECP 1026 - Algorithms And Data Structures

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Trimester 1 - 2019/2020

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The book is available for download in "texts" format, the size of the file-s is: 1.72 Mbs, the file-s for this book were downloaded 13 times, the file-s went public at Sun May 05 2024.

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4A Practical Approach To Data Structures And Algorithms

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Trimester 1 - 2019/2020

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5Jay Wengrow A Common Sense Guide To Data Structures And Algorithms Level Up Your Core Programming Skills Pragmatic Bookshelf ( 2020)

Data Structure and algorithm

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The book is available for download in "texts" format, the size of the file-s is: 192.18 Mbs, the file-s for this book were downloaded 2900 times, the file-s went public at Tue Mar 22 2022.

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6Problem Solving With Pascal : Programming Methods, Algorithms, And Data Structures

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Data Structure and algorithm

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The book is available for download in "texts" format, the size of the file-s is: 1731.26 Mbs, the file-s for this book were downloaded 83 times, the file-s went public at Thu May 05 2022.

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7Tmp_9634-tmp_6508-Data-Structures-and-Algorithms-in-Java-6th-Edition-2014726290917726290917

Ds

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8Algorithms And Data Structures For Multi-Adaptive Time-Stepping

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Multi-adaptive Galerkin methods are extensions of the standard continuous and discontinuous Galerkin methods for the numerical solution of initial value problems for ordinary or partial differential equations. In particular, the multi-adaptive methods allow individual and adaptive time steps to be used for different components or in different regions of space. We present algorithms for efficient multi-adaptive time-stepping, including the recursive construction of time slabs and adaptive time step selection. We also present data structures for efficient storage and interpolation of the multi-adaptive solution. The efficiency of the proposed algorithms and data structures is demonstrated for a series of benchmark problems.

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The book is available for download in "texts" format, the size of the file-s is: 13.20 Mbs, the file-s for this book were downloaded 88 times, the file-s went public at Fri Sep 20 2013.

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9TCS 1011 - Data Structures And Algorithms

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Trimester 2 - 2015 / 2016

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10Dr. Dobb's Essential Books On Algorithms And Data Structures CD-ROM (1995)

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Dr. Dobb's Essential books on Algorithms and Data Structures is a CD-ROM from 1995 containing the following 8 books: (1985) Data Structures: From Arrays to Priority Queues by Wayne Amsbury (1935-2006) (1990) Introduction to Algorithims by Thomas H. Cormen (1956-), Charles E. Leiserson (1953-), and Ronald L. Rivest (1947-) (1992) Information Retrieval: Data Structures & Algorithms edited by William B. Frakes (1952-) and Ricardo Baeza-Yates (1961-) (1976, 1983) Fundamentals of Data Structures by Ellis Horowitz (1944-) and Sartaj Sahni (1949-) (1985) Reliable Data Structures in C by Thomas Plum (1943-2024) (1993) Data Structures and Algorithm Analysis in C by Mark Allen Weiss (19??-) (1993) Practical Data Structures in C++ by Bryan Flamig (1957-) (1988) Data Structures, Algorithms and Program Style Using C by James F. Korsh (1938-) and Leonard J. Garrett (1926-2023) The reader software will not run on a modern Windows machine, and requires 16-bit program compatibility to run.

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The book is available for download in "software" format, the size of the file-s is: 90.91 Mbs, the file-s for this book were downloaded 799 times, the file-s went public at Sat Apr 27 2024.

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11Dr. Dobb's Essential Books On Algorithms And Data Structures CD-ROM

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Dr. Dobb's Essential books on algorithms and data structures: Contributors: Cormen, Thomas H. Introduction to algorithms Amsbury, Wayne, 1935- Data structures Horowitz, Ellis. Fundamentals of data structure Plum, Thomas, 1943- Reliable data structures in C Weiss, Mark Allen. Data structures and Algorithm Analysis in C Flamig, Bryan. Practical data structures in C++ Korsh, James F., 1938- Data structures, algorithms and program style using C

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The book is available for download in "data" format, the size of the file-s is: 54.79 Mbs, the file-s for this book were downloaded 719 times, the file-s went public at Sat Apr 06 2019.

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12Data Structures And Algorithms In Java

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Dr. Dobb's Essential books on algorithms and data structures: Contributors: Cormen, Thomas H. Introduction to algorithms Amsbury, Wayne, 1935- Data structures Horowitz, Ellis. Fundamentals of data structure Plum, Thomas, 1943- Reliable data structures in C Weiss, Mark Allen. Data structures and Algorithm Analysis in C Flamig, Bryan. Practical data structures in C++ Korsh, James F., 1938- Data structures, algorithms and program style using C

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13Data Structures And Algorithms In Java 2nd Edition

file

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14Free Course Site.com Udemy Java Script Algorithms And Data Structures Masterclass

DSA

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15Data Structures And Algorithms

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Data Structures and Algorithms

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16[ Free Course Site.com] Udemy Java Algorithms And Data Structures Masterclass

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***********READ ME************* https://pastebin.com/1CamWExS If have Password : 123

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The book is available for download in "data" format, the size of the file-s is: 0.01 Mbs, the file-s for this book were downloaded 18 times, the file-s went public at Sat Dec 07 2024.

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172. Introduction To Data Structures And Algorithms

Inroduction to Data structures and Algorithms || Deepali Srivastava

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18O'Reilly - Learning Data Structures And Algorithms

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In this Learning Data Structures and Algorithms video training course, Rod Stephens will teach you how to analyze and implement common algorithms used in data processing. This course is designed for the absolute beginner, meaning no previous programming experience is required. You will start by learning about the complexity theory, then jump into learning about numerical algorithms, including randomizing arrays, prime factorization, and numerical integration. From there, Rod will teach you about linked lists, such as singly linked lists, sorted, and doubly linked lists. This video tutorial also covers arrays, stacks and queues, and sorting. You will also learn about searching, hash tables, recursion, and backtracking algorithms. Finally, you will cover trees, balanced trees, decision trees, and network algorithms. Once you have completed this video training course, you will be fully capable of analyzing and implementing algorithms, as well as be able to select the best algorithm for various situations. Working files are included, allowing you to follow along with the author throughout the lessons.

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The book is available for download in "movies" format, the size of the file-s is: 2828.49 Mbs, the file-s for this book were downloaded 1701 times, the file-s went public at Sat Feb 15 2020.

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19Data Structures, Algorithms, And Applications In C++

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In this Learning Data Structures and Algorithms video training course, Rod Stephens will teach you how to analyze and implement common algorithms used in data processing. This course is designed for the absolute beginner, meaning no previous programming experience is required. You will start by learning about the complexity theory, then jump into learning about numerical algorithms, including randomizing arrays, prime factorization, and numerical integration. From there, Rod will teach you about linked lists, such as singly linked lists, sorted, and doubly linked lists. This video tutorial also covers arrays, stacks and queues, and sorting. You will also learn about searching, hash tables, recursion, and backtracking algorithms. Finally, you will cover trees, balanced trees, decision trees, and network algorithms. Once you have completed this video training course, you will be fully capable of analyzing and implementing algorithms, as well as be able to select the best algorithm for various situations. Working files are included, allowing you to follow along with the author throughout the lessons.

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20Data Structures, Algorithms, And Performance

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In this Learning Data Structures and Algorithms video training course, Rod Stephens will teach you how to analyze and implement common algorithms used in data processing. This course is designed for the absolute beginner, meaning no previous programming experience is required. You will start by learning about the complexity theory, then jump into learning about numerical algorithms, including randomizing arrays, prime factorization, and numerical integration. From there, Rod will teach you about linked lists, such as singly linked lists, sorted, and doubly linked lists. This video tutorial also covers arrays, stacks and queues, and sorting. You will also learn about searching, hash tables, recursion, and backtracking algorithms. Finally, you will cover trees, balanced trees, decision trees, and network algorithms. Once you have completed this video training course, you will be fully capable of analyzing and implementing algorithms, as well as be able to select the best algorithm for various situations. Working files are included, allowing you to follow along with the author throughout the lessons.

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The book is available for download in "texts" format, the size of the file-s is: 873.64 Mbs, the file-s for this book were downloaded 36 times, the file-s went public at Thu Dec 14 2023.

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21Artikel STRUKTUR DATA DAN ALGORITMA BEROIENTASI OBJEK PROGRAM BUAH (DATA STRUCTURES AND OBJECT ORIENTED ALGORITHMS FRUIT PROGRAMS )

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Struktur data adalah cara untuk menyimpan dan mengatur data dalam komputer agar dapat diakses dan dimanipulasi dengan efisien. Contoh struktur data termasuk array, linked list, stack, queue, tree, dan graph. Setiap struktur data memiliki kelebihan dan kekurangan masing-masing tergantung pada jenis operasi yang akan dilakukan pada data tersebut. Algoritma adalah urutan instruksi logis yang diterapkan pada data untuk memecahkan masalah atau mencapai tujuan tertentu. Algoritma dapat ditulis dalam berbagai bahasa pemrograman dan dapat diterapkan pada berbagai jenis struktur data. Beberapa algoritma umum meliputi pengurutan (sorting), pencarian (searching), traversal, dan pengolahan grafik (graph processing).Kedua konsep tersebut dapat digunakan bersamaan untuk memecahkan berbagai masalah dalam pemrograman. Pendekatan berorientasi objek (object-oriented programming atau OOP) juga dapat diterapkan untuk mengorganisir struktur data dan algoritma dalam sebuah program. Dalam OOP, struktur data dan algoritma diwakili sebagai objek dan metode yang saling berinteraksi untuk mencapai tujuan tertentu. Pendekatan ini dapat membantu meningkatkan modularitas, fleksibilitas, dan keterbacaan program.

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  • Language: ind

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22Algorithms And Data Structures : 6th International Workshop, WADS'99, Vancouver, Canada, August 11-14, 1999 : Proceedings

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Struktur data adalah cara untuk menyimpan dan mengatur data dalam komputer agar dapat diakses dan dimanipulasi dengan efisien. Contoh struktur data termasuk array, linked list, stack, queue, tree, dan graph. Setiap struktur data memiliki kelebihan dan kekurangan masing-masing tergantung pada jenis operasi yang akan dilakukan pada data tersebut. Algoritma adalah urutan instruksi logis yang diterapkan pada data untuk memecahkan masalah atau mencapai tujuan tertentu. Algoritma dapat ditulis dalam berbagai bahasa pemrograman dan dapat diterapkan pada berbagai jenis struktur data. Beberapa algoritma umum meliputi pengurutan (sorting), pencarian (searching), traversal, dan pengolahan grafik (graph processing).Kedua konsep tersebut dapat digunakan bersamaan untuk memecahkan berbagai masalah dalam pemrograman. Pendekatan berorientasi objek (object-oriented programming atau OOP) juga dapat diterapkan untuk mengorganisir struktur data dan algoritma dalam sebuah program. Dalam OOP, struktur data dan algoritma diwakili sebagai objek dan metode yang saling berinteraksi untuk mencapai tujuan tertentu. Pendekatan ini dapat membantu meningkatkan modularitas, fleksibilitas, dan keterbacaan program.

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23DTIC ADA052916: Discrete-Pattern Matching Algorithms And Data Structures For Cyber 74.

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A description of the discrete-pattern matching process is presented with the key elements described. Six data structure approaches and related search algorithms are presented. Twelve programs were coded to implement five out of the six structures/algorithms using packed and unpacked approaches on a CYBER 74. Runs were made with twelve different data files using Fortran, English, and random text. The effect of the number of patterns in the data structure and the expected incidence in the text were included. The best data structures/algorithms were a finite state automata and an alternate/successor linked list. (Author)

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24String Algorithms And Data Structures

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The string-matching field has grown at a such complicated stage that various issues come into play when studying it: data structure and algorithmic design, database principles, compression techniques, architectural features, cache and prefetching policies. The expertise nowadays required to design good string data structures and algorithms is therefore transversal to many computer science fields and much more study on the orchestration of known, or novel, techniques is needed to make progress in this fascinating topic. This survey is aimed at illustrating the key ideas which should constitute, in our opinion, the current background of every index designer. We also discuss the positive features and drawback of known indexing schemes and algorithms, and devote much attention to detail research issues and open problems both on the theoretical and the experimental side.

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25DTIC ADA191482: Algorithms And Data Structures For An Expanded Family Of Matroid Intersection Problems.

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Matroids are discrete mathematical structures that appear in a variety of applications. They are structures for which greedy algorithm gives an optimal solution, and when interested characterize such problems as minimum weight maximum cardinality bipartite matching. In this paper we study a class of combinatorial problems from a matroid point of view. Consider a matroid of rank n in which each element has a real-valued cost and one of d 1 colors. A class of matroid intersection problems is studied in which one of the matroids is a partition matroid that specifies that base have 9 sub k elements of color j, for j = 12 =1, 2, ..., d. Relationships are characterized among the solutions to the family of problems generated when the vector (q sub 1, q sub,... q sub d) is allowed to range over all values that sum to n. A fast algorithm is given for solving such matroid intersection problems when d is small. A characterization is presented for how the solution changes when one element changes in cost. Data structures are given for updating the solution on-line each time the cost of an arbitrary matroid element is modified. Efficient update algorithms are given for maintaining a color-constrained minimum spanning tree in either a general or a planar graph. An application for the techniques to finding a minimum spanning tree with several degree-constrained vertices is described.

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26DTIC ADA159513: Proceedings Of The Course On Algorithms And Data Structures For Geometric Computations Held At CISM (Centre International Des Sciences Mecaniques) In Udine (Italy) On 8-12 July 1985,

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The Outline of the course was as follows: 1) Computational geometry; 2) Geometrical problems related to robotics; 3) Heuristics for finding approximations for Steiner minimum trees; 4) The grid file as a data structure suited for geometrical computation; 5) Different schemes for representing three-dimensional objects; 6) Visibility problems that occur in VLSI design; 7) Algorithms for point location, convex hull and the maxima of a set of vectors in two and three dimensions; and 8) Merging heaps and some unsolved problems.

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27DSA 5541 - Data Structures And Algorithms

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Tri 3 2021/2022

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28Principles Of Computer Science : Concepts, Algorithms, Data Structures, And Applications

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Includes bibliographies and index

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29Handbook Of Algorithms And Data Structures

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Includes bibliographies and index

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30Algorithms And Data Structures In Computer Engineering

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31Algorithms And Data Structures : Design, Correctness, Analysis

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32Algorithms And Data Structures

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33Algorithms, Data Structures, And Problem Solving With C++

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34ECE 1026 - Algorithms And Data Structures

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Tri 2 2017/2018

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35TCS 1011 - Data Structures And Algorithms

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36TCS 1011 - Data Structures And Algorithms

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37Data Structures, Algorithms, And Applications In Java

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38Data Structures And Algorithms In Java

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39Instructor's Guide For Pascal Plus Data Structures, Algorithms, And Advanced Programming

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vi, 312 pages : 28 cm

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40Algorithms And Data Structures In C++

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vi, 312 pages : 28 cm

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41DCS 5068 - Data Structures And Algorithms

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42Data Structures And Algorithms For Supporting GLAD Interfaces.

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43Data Structures And Algorithms

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44DTIC ADA264678: Efficient Algorithms And Data Structures In Geometric Design

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Research has been conducted on the design of a numerically stable and topologically robust algorithm for boolean set operations between solids with algorithms surface patches of arbitrary degree.

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45Free Course Site.com Udemy Mastering Data Structures & Algorithms Using C And C++

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46Data Structures And Algorithms Using Python

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47Data Structures And Algorithms : With Object-oriented Design Patterns In C++

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poi padi da

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48ECE 1026 - Algorithms And Data Structures

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TRI 2, 2019/2020

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49Data Structures And Algorithms For Supporting GLAD Interfaces.

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Thesis advisor, C. Thomas Wu

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50Data Structures And Algorithms For Supporting GLAD Interfaces.

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The relational database model has become the most popular and widespread database model. Most current database systems are based upon or related to -he relational model. However, the relational model is beset with significant limitations, pitfalls and deficiencies. The relational model can be substantially improved with graphical interfaces. To this end, the Graphics Language for Accessing Database (GLAD) can provide easy to use and learn graphics interfaces for the relational model. Data structures and algorithms for GLAD will be presented to extend the relational model.

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