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Algorithms And Data Structures by Charles F. Bowman

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1TDS 2111 - Data Structures And Algorithms

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Trimester 1 - 2017/2018

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2ECP 1026 - Algorithms And Data Structures

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Trimester 2 - 2019/2020

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  • Title: ➤  ECP 1026 - Algorithms And Data Structures
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3Data Structures And Algorithms

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Trimester 2 - 2019/2020

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The book is available for download in "texts" format, the size of the file-s is: 681.65 Mbs, the file-s for this book were downloaded 194 times, the file-s went public at Sat Mar 23 2019.

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4DSA 5541 - Data Structures And Algorithms

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Tri 3 2021/2022

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  • Title: ➤  DSA 5541 - Data Structures And Algorithms
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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 1.86 Mbs, the file-s for this book were downloaded 16 times, the file-s went public at Fri May 03 2024.

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5TCS 1011 - Data Structures And Algorithms

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Trimester 2 2015 / 2016

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  • Title: ➤  TCS 1011 - Data Structures And Algorithms
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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 0.86 Mbs, the file-s for this book were downloaded 20 times, the file-s went public at Sun May 05 2024.

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

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  • Title: ➤  Tmp_9634-tmp_6508-Data-Structures-and-Algorithms-in-Java-6th-Edition-2014726290917726290917
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7Instructor's Guide For Pascal Plus Data Structures, Algorithms, And Advanced Programming

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vi, 312 pages : 28 cm

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  • Title: ➤  Instructor's Guide For Pascal Plus Data Structures, Algorithms, And Advanced Programming
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The book is available for download in "texts" format, the size of the file-s is: 557.93 Mbs, the file-s for this book were downloaded 82 times, the file-s went public at Sat Nov 09 2019.

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8First Course : Data Structures And Algorithms Using Java

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vi, 312 pages : 28 cm

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  • Title: ➤  First Course : Data Structures And Algorithms Using Java
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  • Language: English

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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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9Data Structures, Algorithms, And Performance

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vi, 312 pages : 28 cm

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  • Title: ➤  Data Structures, Algorithms, And Performance
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  • Language: English

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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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10Artikel 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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  • Title: ➤  Artikel STRUKTUR DATA DAN ALGORITMA BEROIENTASI OBJEK PROGRAM BUAH (DATA STRUCTURES AND OBJECT ORIENTED ALGORITHMS FRUIT PROGRAMS )
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  • Language: ind

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11Algorithms And Data Structures : 7th International Workshop, WADS 2001, Providence, RI, USA, August 8-10, 2001 : 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.

“Algorithms And Data Structures : 7th International Workshop, WADS 2001, Providence, RI, USA, August 8-10, 2001 : Proceedings” Metadata:

  • Title: ➤  Algorithms And Data Structures : 7th International Workshop, WADS 2001, Providence, RI, USA, August 8-10, 2001 : Proceedings
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The book is available for download in "texts" format, the size of the file-s is: 250.26 Mbs, the file-s for this book were downloaded 871 times, the file-s went public at Wed Dec 30 2015.

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12ECE 1026 - Algorithms And Data Structures

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Trimester 2, 2022/2023

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  • Title: ➤  ECE 1026 - Algorithms And Data Structures
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  • Language: English

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13Algorithms And Data Structures : 6th International Workshop, WADS'99, Vancouver, Canada, August 11-14, 1999 : Proceedings

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Trimester 2, 2022/2023

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  • Title: ➤  Algorithms And Data Structures : 6th International Workshop, WADS'99, Vancouver, Canada, August 11-14, 1999 : Proceedings
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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 1336.69 Mbs, the file-s for this book were downloaded 99 times, the file-s went public at Fri Jul 20 2018.

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14String 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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The book is available for download in "texts" format, the size of the file-s is: 36.09 Mbs, the file-s for this book were downloaded 277 times, the file-s went public at Mon Sep 23 2013.

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15Data Structures And Algorithms In C++

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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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The book is available for download in "texts" format, the size of the file-s is: 1447.90 Mbs, the file-s for this book were downloaded 173 times, the file-s went public at Wed Jul 12 2023.

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16DTIC 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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  • Title: ➤  DTIC AD1006912: Amalgamating Knowledge Bases, II: Algorithms, Data Structures, And Query Processing
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17Data Structures And Algorithms

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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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18Data Structures And Algorithms In C++

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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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The book is available for download in "texts" format, the size of the file-s is: 927.74 Mbs, the file-s for this book were downloaded 910 times, the file-s went public at Thu Feb 07 2019.

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19Problem Solving With Pascal : Programming Methods, Algorithms, And Data Structures

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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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20Principles Of Computer Science : Concepts, Algorithms, Data Structures, And Applications

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Includes bibliographies and index

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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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23A Practical Approach To Data Structures And Algorithms

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Tri 2 2016/2017

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24Data Structures And Algorithms In Java

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xxii, 696 pages : 25 cm

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25Free Course Site.com Udemy Java Script Algorithms And Data Structures Masterclass

Java Script Algorithms And Data Structures Masterclass

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26Free Course Site.com Udemy Mastering Data Structures & Algorithms Using C And C++ ( 1)

data structure and c

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27Algorithms And Data Structures : The Basic Toolbox

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data structure and c

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28Abstractions, Algorithms And Data Structures For Structural Bioinformatics In PyCogent

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To facilitate flexible and efficient structural bioinformatics analyses, new functionality for three-dimensional structure processing and analysis has been introduced into PyCogent -- a popular feature-rich framework for sequence-based bioinformatics, but one which has lacked equally powerful tools for handling stuctural/coordinate-based data. Extensible Python modules have been developed, which provide object-oriented abstractions (based on a hierarchical representation of macromolecules), efficient data structures (e.g. kD-trees), fast implementations of common algorithms (e.g. surface-area calculations), read/write support for Protein Data Bank-related file formats and wrappers for external command-line applications (e.g. Stride). Integration of this code into PyCogent is symbiotic, allowing sequence-based work to benefit from structure-derived data and, reciprocally, enabling structural studies to leverage PyCogent's versatile tools for phylogenetic and evolutionary analyses.

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29DCS 5068 - Data Structures And Algorithms

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Tri 2 – 2016/2017

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30Course For Free.com Data Structures And Algorithms In PHP

data structure

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31Data Structures, Algorithms, And Applications In Java

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data structure

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32Data Structures And Algorithms In Java

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data structure

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33Algorithms And Data Structures : An Approach In C

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data structure

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34DTIC 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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35Data Structures And Algorithms In Java

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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36ECE 1026 - Algorithms And Data Structures

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TRI 2, 2019/2020

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37Python Data Structures And Algorithms

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Python Data Structures & Algorithms

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38Data Structures And Algorithms In Python Goodrich

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PDF BOOK

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39Data Structures And Algorithms Narasimha Karumanchi

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Data Structures And Algorithms Made Easy -To All My Readers By Narasimha Karumanchi

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40Algorithms And Data Structures : 6th International Workshop, WADS'99, Vancouver, Canada, August 11-14, 1999 : Proceedings

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Data Structures And Algorithms Made Easy -To All My Readers By Narasimha Karumanchi

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41DTIC 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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42Understanding Algorithms And Data Structures

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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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43Data Structures And Algorithms In The 21st Century

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Jacinta Catherine Richardson http://linux.conf.au/schedule/presentation/69/ Data structures and algorithms are essential tools in the developer's toolkit, yet it is an area that is too easy to get behind in. The essential algorithms you learned whenever you did Computer Science probably included: 1. Shortest path and tree (and graph) traversals - depth-first, breadth first, cycle management 2. Sorting - quick sort, bubble sort, merge sort, binary sort 3. Searching - binary trees, B-trees, B+trees, red-black trees 4. Specific problems - knapsack problem, painters algorithm, decision trees 5. Algorithm tecniques - divide and conquer, backtracking, creating NFAs You might also have learned the Fast Fourier Transform (FFT) and the Convolution theorem. For data structures you might have learned: 1. Matrices 2. Linked lists 3. Hashing 4. Singular Value Decomposition (SVD) from Linear Algebra This talk will overview some of the more interesting parts of the above (such as the FFT, convolution theorem, and SVD) before providing an overview of some of the more interesting algorithms developed in the last 16 years.

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44Peer 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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  • Title: ➤  Peer Grading In A Course On Algorithms And Data Structures: Machine Learning Algorithms Do Not Improve Over Simple Baselines
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45ECE 1026 - Algorithms And Data Structures

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Tri 2 2018/2019

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46Data Structures And Algorithms With Modula-2

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Tri 2 2018/2019

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47A Common-sense Guide To Data Structures And Algorithms : Level Up Your Core Programming Skills

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Tri 2 2018/2019

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48Data Structures And Algorithms : A First Course

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Tri 2 2018/2019

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49Data Structures, Algorithms, And Program Style Using C

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Tri 2 2018/2019

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50Data Structures And Algorithms : An Object-oriented Approach Using Ada 95

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1Algorithms and data structures

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“Algorithms and data structures” Metadata:

  • 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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