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Algorithms And Data Structures by Charles F. Bowman

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163: Swift Algorithms And Data Structures (feat. Kelvin Lau & Vincent Ngo)

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We welcome Kelvin and Vincent to the show to discuss Data Structures and Algorithms in Swift.

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2Algorithms And Data Structures : 4th International Workshop, WADS '95, Kingston, Canada, August 16-18, 1995 : Proceedings

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We welcome Kelvin and Vincent to the show to discuss Data Structures and Algorithms in Swift.

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3ECP 1026 - Algorithms And Data Structures

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Trimester 1 - 2019/2020

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4TDS 2111 - Data Structures And Algorithms

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Trimester 1 - 2019/2020

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5Data Structures And Algorithms

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Trimester 1 - 2019/2020

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6DTIC ADA053184: Automatic Construction Of Algorithms And Data Structures Using A Knowledge Base Of Programming Rules

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Although large amounts of programming knowledge are available to human programmers in the form of books and articles, very little of this knowledge is available in a form suitable for use by a machine in performing programming tasks automatically. The principal goal of the research reported here is the explication of programming knowledge to a sufficient level of detail that it can be used effectively by a machine. The programming task considered in this experiment is that of constructing concrete implementations of abstract algorithms in the domain of symbolic programming. Knowledge about several aspects of symbolic programming has been expressed as a collection of four hundred refinement rules. The rules deal primarily with collections and mappings and ways of manipulating such structures, including several enumeration, sorting and searching techniques. The principal representation techniques covered include the representation of sets as linked lists and arrays (both ordered and unordered), and the representation of mappings as tables, sets of pairs, property list markings, and inverted mappings (indexed by range element). In addition to these general constructs, many low-level programming details are covered (such as the use of variables to store values).

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The book is available for download in "texts" format, the size of the file-s is: 170.45 Mbs, the file-s for this book were downloaded 106 times, the file-s went public at Mon Feb 13 2017.

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7Dr. 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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8Tmp_9634-tmp_6508-Data-Structures-and-Algorithms-in-Java-6th-Edition-2014726290917726290917

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92. Introduction To Data Structures And Algorithms

Inroduction to Data structures and Algorithms || Deepali Srivastava

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10Data Structures, Algorithms, And Applications In C++

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11Data Structures, Algorithms, And Performance

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12Github.com-floyernick-Data-Structures-and-Algorithms_-_2018-04-02_07-34-33

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Data Structures and Algorithms implementation in Go Data Structures and Algorithms Clean and simple implementation in Go Implementation There are several data structures and algorithms implemented in this project. The list will be replenished with time. Data structures Circular Buffer Linked List Doubly Linked List Stack Queue Binary Tree Searching algorithms Linear Search Binary Search Jump Search Interpolation Search Exponential Search Ternary Search Sorting algorithms Selection Sort Insertion Sort Bubble Sort Comb Sort Usage The library is not intended for direct use by importing. We strongly recommend copying the necessary implementations and adjusting to your case. You can download the source using go get command: go get github.com/floyernick/Data-Structures-and-Algorithms Don't forget about proverb: A little copying is better than a little dependency. Contribute We would be happy to receive your propositions of improvement ;) License This project is licensed under the MIT License . Authors Mykyta Paliienko - GitHub profile To restore the repository download the bundle wget https://archive.org/download/github.com-floyernick-Data-Structures-and-Algorithms_-_2018-04-02_07-34-33/floyernick-Data-Structures-and-Algorithms_-_2018-04-02_07-34-33.bundle and run: git clone floyernick-Data-Structures-and-Algorithms_-_2018-04-02_07-34-33.bundle Source: https://github.com/floyernick/Data-Structures-and-Algorithms Uploader: floyernick Upload date: 2018-04-02

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The book is available for download in "software" format, the size of the file-s is: 0.09 Mbs, the file-s for this book were downloaded 77 times, the file-s went public at Mon Apr 02 2018.

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13First Course : Data Structures And Algorithms Using Java

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Data Structures and Algorithms implementation in Go Data Structures and Algorithms Clean and simple implementation in Go Implementation There are several data structures and algorithms implemented in this project. The list will be replenished with time. Data structures Circular Buffer Linked List Doubly Linked List Stack Queue Binary Tree Searching algorithms Linear Search Binary Search Jump Search Interpolation Search Exponential Search Ternary Search Sorting algorithms Selection Sort Insertion Sort Bubble Sort Comb Sort Usage The library is not intended for direct use by importing. We strongly recommend copying the necessary implementations and adjusting to your case. You can download the source using go get command: go get github.com/floyernick/Data-Structures-and-Algorithms Don't forget about proverb: A little copying is better than a little dependency. Contribute We would be happy to receive your propositions of improvement ;) License This project is licensed under the MIT License . Authors Mykyta Paliienko - GitHub profile To restore the repository download the bundle wget https://archive.org/download/github.com-floyernick-Data-Structures-and-Algorithms_-_2018-04-02_07-34-33/floyernick-Data-Structures-and-Algorithms_-_2018-04-02_07-34-33.bundle and run: git clone floyernick-Data-Structures-and-Algorithms_-_2018-04-02_07-34-33.bundle Source: https://github.com/floyernick/Data-Structures-and-Algorithms Uploader: floyernick Upload date: 2018-04-02

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The book is available for download in "texts" format, the size of the file-s is: 365.19 Mbs, the file-s for this book were downloaded 59 times, the file-s went public at Thu May 05 2022.

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14Free Course Site.com Udemy Mastering Data Structures & Algorithms Using C And C++ ( 1)

data structure and c

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15Free Course Site.com Udemy Java Script Algorithms And Data Structures Masterclass

Java Script Algorithms And Data Structures Masterclass

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16O'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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17Data Structures And Algorithms With Modula-2

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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: 328.30 Mbs, the file-s for this book were downloaded 15 times, the file-s went public at Thu Apr 07 2022.

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18DTIC 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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The book is available for download in "texts" format, the size of the file-s is: 66.83 Mbs, the file-s for this book were downloaded 93 times, the file-s went public at Thu Feb 09 2017.

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19DTIC 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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The book is available for download in "texts" format, the size of the file-s is: 39.08 Mbs, the file-s for this book were downloaded 77 times, the file-s went public at Sat Feb 17 2018.

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20DTIC ADA060584: Two Papers On Range Searching: A Survey Of Algorithms And Data Structures For Range Searching. Efficient Worst-Case Data Structures For Range Searching.

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This report contains two independent papers on range searching. A range search retrieves from a file all records which conjunctively satisfy a set of range requirements for the keys; that is, each key must lie in some specified range. Range searching arises in many applications, such as data base management and statistical computing. The first paper in this report, 'A survey of algorithms and data structures for range searching' by J. L. Bentley and J. H. Friedman, describes the known 'logical structures' which can be used for range searching and then discusses the implementation of those structures in different storage media. This paper is slanted towards the practitioner. The second paper, 'Efficient worst-case data structures for range searching' by J. L. Bentley and H. A. Maurer, is more theoretical. Two new classes of data structures are proposed for range searching, establishing bounds on the asymptotic complexity of the problem. (Author)

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The book is available for download in "texts" format, the size of the file-s is: 38.36 Mbs, the file-s for this book were downloaded 71 times, the file-s went public at Tue Aug 22 2017.

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21TDS 2111 - Data Structures And Algorithms

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Trimester 1 2016/2017

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22ECE 1026 - Algorithms And Data Structures

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Tri 2 2016/2017

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23Algorithms And Data Structures In C++

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Tri 2 2016/2017

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24Learn Data Structures And Algorithms With Golang Level Up Your Go Programming Skills To Develop Faster And More Efficient Code

Learn Data Structures and Algorithms with Golang is a practical guide for developers looking to deepen their understanding of core computer science concepts using the Go programming language. Through hands-on examples and clear explanations, this book helps you implement efficient algorithms and master essential data structures to write faster, more scalable code in Go.

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25ECE 1026 - Algorithms And Data Structures

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Tri 2 2018/2019

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26Data Structures And Algorithms

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Tri 2 2018/2019

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27Algorithms, Data Structures, And Problem Solving With C++

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Tri 2 2018/2019

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28A Practical Approach To Data Structures And Algorithms

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Tri 2 2018/2019

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29Introduction To Data Structures And Algorithms With C++

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Tri 2 2018/2019

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30Data Structures, Algorithms, And Applications In Java

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Tri 2 2018/2019

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31Data Structures And Algorithms In Java

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Tri 2 2018/2019

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32Algorithms, Data Structures, And Problem Solving With C++

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Tri 2 2018/2019

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33Why Do IT Recruiters Care About Data Structures And Algorithms?

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Video content can be found here: https://www.youtube.com/channel/UC0BAd8tPlDqFvDYBemHcQPQ/

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34DCS 5068 - Data Structures And Algorithms

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Tri 2 – 2016/2017

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35Free Course Site.com Udemy Java Script Algorithms And Data Structures Masterclass

DSA

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36TDS 2111 - Data Structures And Algorithms

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Trimester 1 2015 / 2016

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37Data Structures And Algorithms 3: Multi-dimensional Searching And Computational Geometry

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xi,284p. : 25 cm

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38DTIC AD1006912: Amalgamating Knowledge Bases, II: Algorithms, Data Structures, And Query Processing

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Integrating knowledge from multiple sources is an important aspect of automated reasoning systems. In the first part of this series of papers, we presented a uniform declarative framework, based on annotated logics, for amalgamating multiple knowledge bases when these knowledge bases (possibly) contain inconsistencies, uncertainties, and non-monotonic modes of negation. We showed that annotated logics may be used, with some modifications, to mediate between different knowledge bases. The multiple knowledge bases are amalgamated by embedding the individual knowledge bases into a lattice. In this paper, we briefly describe an SLD-resolution-based proof procedure that is sound and complete w.r.t. our declarative semantics. We will then develop an OLDT-resolution-based query processing procedure, MULTI_OLDT, that satisfies two important properties: (1) efficient reuse of previous computations is achieved by maintaining a tablewe describe the structure of this table, and show that table operations can be efficiently executed, and (2) approximate, interruptable query answering is achieved, i.e., it is possible to obtain an intermediate, approximate answer from the QPP by interrupting it at any point in time during its execution. The design of the MULTI_OLDT procedure will include the development of run-time algorithms to incrementally and efficiently update the table.

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39Data Structures, Algorithms, And Applications In Java

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Integrating knowledge from multiple sources is an important aspect of automated reasoning systems. In the first part of this series of papers, we presented a uniform declarative framework, based on annotated logics, for amalgamating multiple knowledge bases when these knowledge bases (possibly) contain inconsistencies, uncertainties, and non-monotonic modes of negation. We showed that annotated logics may be used, with some modifications, to mediate between different knowledge bases. The multiple knowledge bases are amalgamated by embedding the individual knowledge bases into a lattice. In this paper, we briefly describe an SLD-resolution-based proof procedure that is sound and complete w.r.t. our declarative semantics. We will then develop an OLDT-resolution-based query processing procedure, MULTI_OLDT, that satisfies two important properties: (1) efficient reuse of previous computations is achieved by maintaining a tablewe describe the structure of this table, and show that table operations can be efficiently executed, and (2) approximate, interruptable query answering is achieved, i.e., it is possible to obtain an intermediate, approximate answer from the QPP by interrupting it at any point in time during its execution. The design of the MULTI_OLDT procedure will include the development of run-time algorithms to incrementally and efficiently update the table.

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40Wiki - Algorithms And Data Structures Wiki

Algorithms and Data Structures Wiki dumped with WikiTeam tools.

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41Data Structures And Algorithms - Podcast S08 E06

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Kelvin Lau and Vincent Ngo of "Data Structures and Algorithms in Swift" show why to have these into your core knowledge list.

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42Github.com-floyernick-Data-Structures-and-Algorithms_-_2018-04-03_09-13-13

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Data Structures and Algorithms implementation in Go Data Structures and Algorithms Clean and simple implementation in Go Implementation There are several data structures and algorithms implemented in this project. The list will be replenished with time. Data structures Circular Buffer Linked List Doubly Linked List Stack Queue Binary Tree Hash Table Searching algorithms Linear Search Binary Search Jump Search Interpolation Search Exponential Search Ternary Search Sorting algorithms Selection Sort Insertion Sort Bubble Sort Comb Sort Cocktail Sort Gnome Sort Usage The library is not intended for direct use by importing. We strongly recommend copying the necessary implementations and adjusting to your case. You can download the source using go get command: go get github.com/floyernick/Data-Structures-and-Algorithms Don't forget about proverb: A little copying is better than a little dependency. Contribute We would be happy to receive your propositions of improvement ;) License This project is licensed under the MIT License . Authors Mykyta Paliienko - GitHub profile To restore the repository download the bundle wget https://archive.org/download/github.com-floyernick-Data-Structures-and-Algorithms_-_2018-04-03_09-13-13/floyernick-Data-Structures-and-Algorithms_-_2018-04-03_09-13-13.bundle and run: git clone floyernick-Data-Structures-and-Algorithms_-_2018-04-03_09-13-13.bundle Source: https://github.com/floyernick/Data-Structures-and-Algorithms Uploader: floyernick Upload date: 2018-04-03

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43NASA Technical Reports Server (NTRS) 19830021785: Algorithms And Data Structures For Adaptive Multigrid Elliptic Solvers

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Adaptive refinement and the complicated data structures required to support it are discussed. These data structures must be carefully tuned, especially in three dimensions where the time and storage requirements of algorithms are crucial. Another major issue is grid generation. The options available seem to be curvilinear fitted grids, constructed on iterative graphics systems, and unfitted Cartesian grids, which can be constructed automatically. On several grounds, including storage requirements, the second option seems preferrable for the well behaved scalar elliptic problems considered here. A variety of techniques for treatment of boundary conditions on such grids are reviewed. A new approach, which may overcome some of the difficulties encountered with previous approaches, is also presented.

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44Algorithms And Data Structures : Design, Correctness, Analysis

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Adaptive refinement and the complicated data structures required to support it are discussed. These data structures must be carefully tuned, especially in three dimensions where the time and storage requirements of algorithms are crucial. Another major issue is grid generation. The options available seem to be curvilinear fitted grids, constructed on iterative graphics systems, and unfitted Cartesian grids, which can be constructed automatically. On several grounds, including storage requirements, the second option seems preferrable for the well behaved scalar elliptic problems considered here. A variety of techniques for treatment of boundary conditions on such grids are reviewed. A new approach, which may overcome some of the difficulties encountered with previous approaches, is also presented.

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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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48Peer Grading In A Course On Algorithms And Data Structures: Machine Learning Algorithms Do Not Improve Over Simple Baselines

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Peer grading is the process of students reviewing each others' work, such as homework submissions, and has lately become a popular mechanism used in massive open online courses (MOOCs). Intrigued by this idea, we used it in a course on algorithms and data structures at the University of Hamburg. Throughout the whole semester, students repeatedly handed in submissions to exercises, which were then evaluated both by teaching assistants and by a peer grading mechanism, yielding a large dataset of teacher and peer grades. We applied different statistical and machine learning methods to aggregate the peer grades in order to come up with accurate final grades for the submissions (supervised and unsupervised, methods based on numeric scores and ordinal rankings). Surprisingly, none of them improves over the baseline of using the mean peer grade as the final grade. We discuss a number of possible explanations for these results and present a thorough analysis of the generated dataset.

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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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1Algorithms and data structures

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  • Title: Algorithms and data structures
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  • Language: English
  • Number of Pages: Median: 341
  • Publisher: ➤  Saunders College Publishing - Oxford University Press, Incorporated - Saunders College Pub.
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  • Publish Location: Fort Worth

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  • First Year Published: 1994
  • Is Full Text Available: Yes
  • Is The Book Public: No
  • Access Status: Borrowable

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