Subjects: Data Structures and Algorithms (cs.DS) The Reverse Cuthill-McKee (RCM) algorithm is a graph-based method for reordering sparse matrices, renowned for its effectiveness in minimizing matrix bandwidth and profile. This reordering enhances the efficiency of matrix operations, making RCM pivotal among reordering algorithms.
Data Structures and Algorithms
Title:On the parameterized complexity of computing good edge-labelings. Davi de Andrade, Júlio Araújo, Laure Morelle, Ignasi Sau, Ana Silva. Comments: 46 pages, 16 figures. Subjects: Data Structures and Algorithms (cs.DS); Computational Complexity (cs.CC) [17] arXiv:2408.15132 [pdf, other]
(PDF) Data Structure: Theoretical Approach
Data structures are generally based on the abilit y of a. computer to fetch and store data at any pla ce in its. memory, specified by a pointer — a bit string, representing a memory address ...
Algorithms and Data Structures for New Models of Computation
In the early days of computer science, the community settled on a simple standard model of computing and a basic canon of general purpose algorithms and data structures suited to that model. With isochronous computing, heterogeneous multiprocessors, flash memory, energy-aware computing, cache and other anisotropic memory, distributed computing, streaming environments, functional languages ...
Array programming with NumPy
a, The NumPy array data structure and its associated metadata fields.b, Indexing an array with slices and steps.These operations return a 'view' of the original data. c, Indexing an array with ...
Graph neural networks: A review of methods and applications
1. Introduction. Graphs are a kind of data structure which models a set of objects (nodes) and their relationships (edges). Recently, researches on analyzing graphs with machine learning have been receiving more and more attention because of the great expressive power of graphs, i.e. graphs can be used as denotation of a large number of systems across various areas including social science ...
On the performance of learned data structures
1. Introduction. Very recently, the unexpected combination of data structures and Machine Learning (ML) has led to the development of a new area of algorithmic research, called learned data structures.The key design idea consists of augmenting — and sometimes even replacing — classic building blocks of data structures, such as arrays, trees or hash tables, with ML models, which are better ...
Graph Processing with Different Data Structures
The paper describes graph algorithms performance when using different types of data structures. To achieve that, we developed a multi-level graph processing system, which allows to create graph applications independently of any implementation details such as graph data structure or underlying computational architecture. We measure the performance of breadth-first search, max flow and random ...
Data structures
These data structures are divided into four categories, which are described as follows. 1.1. Integers. It is defined as a whole number, not a fraction number, the integer number can be positive, negative, or zero. For example, 0, 2, 3, −78, and 5467. It cannot have decimal numbers. 1.2. Float.
Universal Linear Data Structure
The paper is devoted to the relevant issue of formalizing the description of a universal linear data structure. In modern programming, various data structures are described as linear data structures. The paper presents general functions for performing operations on such data structures as vector, deck, list, set and multiset. The conditions that these functions must meet are introduced as ...
Learned Data Structures
Abstract. Very recently, the unexpected combination of data structures and machine learning has led to the development of a new area of research, called learned data structures. Their distinguishing trait is the ability to reveal and exploit patterns and trends in the input data for achieving more efficiency in time and space, compared to ...
(PDF) DATA STRUCTURES FOR MODERN APPLICATIONS
A line ar data structure is a data structure in which the data elements are put consecutively or linearly, and each element is attached to its previous and next adjace nt components.
125417 PDFs
Data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently. | Explore the latest full-text research PDFs, articles, conference papers ...
Algorithms
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications. ... (2020) Vol. 12 (2019) Vol. 11 ...
Analysis and Research of Sorting Algorithm in Data Structure Based on C
Abstract. In the process of learning the data structure, it is very necessary to master the sorting algorithm, and in the program design, the sorting algorithm is applied frequently. Based on the importance of sorting algorithms, this paper will carefully compare the characteristics of different algorithms, starting with the work efficiency ...
Handbook of Data Structures and Applications
The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as other areas of computer science, the book aims to update those areas that have seen advances.
Recent Studies About Teaching Algorithms (CS1) and Data Structures (CS2
This Research Full Paper presents a review of recent studies on SIGCSE about teaching programming (CS1) and data structures (CS2) for university students in computer science courses. Our main contribution is the identification of three categories and their respective subcategories for teaching programming: (i) characterization of contents, (ii) identification of pedagogical strategies and (iii ...
Algorithms and Data Structures
The papers in these RC 2023 proceedings present original research on the theory, design and application of algorithms and data structures. ... This book constitutes the refereed proceedings of the 18th International Symposium on Algorithms and Data Structures, WADS 2023, held during July 31-August 2, 2023.
[2108.05513] Ethereum Data Structures
Ethereum Data Structures. Ethereum platform operates with rich spectrum of data structures and hashing and coding functions. The main source describing them is the Yellow paper, complemented by a lot of informal blogs. These sources are somehow limited. In particular, the Yellow paper does not ideally balance brevity and detail, in some parts ...
Algorithms and Data Structures: 2020-2021
It introduces students to a number of highly efficient algorithms and data structures for fundamental computational problems across a variety of areas. Students are also introduced to techniques such as amortised complexity analysis. As in the first-year course, the style of the presentation is rigorous but not formal.
(PDF) Analysis and Research of Sorting Algorithm in Data Structure
Based on the importance of sorting algorithms, this paper will carefully compare the characteristics of different algorithms, starting with the work efficiency, algorithm implementation, basic ...
Algorithms and Data Structures Research Papers
conference can be discussed in term of concepts, surveys, state of the art, research, standards, implementations, running experiments, applications and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to.
Book Review Article
The TIB Portal allows you to search the library's own holdings and other data sources simultaneously. By restricting the search to the TIB catalogue, you can search exclusively for printed and digital publications in the entire stock of the TIB library.
Handbook of Data Structures and Applications
The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as other areas of computer science, the book aims to update those areas that have seen advances.Retaining ...
Can carbon trading policy boost upgrading and optimization of
Finally, this paper is only based on data from China, and in the future, a comparative study of the impact of CTP between countries on industrial structure can be conducted based on data from more ...
(IUCr) Coordinate-based simulation of pair distance distribution
Simulations of these partial structures can be very helpful in understanding the origins of the PDDF features. Fig. 4 shows the PDDF analyses for γ-CD. The PDDF derived from the experimental data consists of a few peaks up to 18 Å, and the simulated PDDFs from the atomic structure successfully reproduce most of the experimental PDDF peaks.
COMMENTS
Subjects: Data Structures and Algorithms (cs.DS) The Reverse Cuthill-McKee (RCM) algorithm is a graph-based method for reordering sparse matrices, renowned for its effectiveness in minimizing matrix bandwidth and profile. This reordering enhances the efficiency of matrix operations, making RCM pivotal among reordering algorithms.
Title:On the parameterized complexity of computing good edge-labelings. Davi de Andrade, Júlio Araújo, Laure Morelle, Ignasi Sau, Ana Silva. Comments: 46 pages, 16 figures. Subjects: Data Structures and Algorithms (cs.DS); Computational Complexity (cs.CC) [17] arXiv:2408.15132 [pdf, other]
Data structures are generally based on the abilit y of a. computer to fetch and store data at any pla ce in its. memory, specified by a pointer — a bit string, representing a memory address ...
In the early days of computer science, the community settled on a simple standard model of computing and a basic canon of general purpose algorithms and data structures suited to that model. With isochronous computing, heterogeneous multiprocessors, flash memory, energy-aware computing, cache and other anisotropic memory, distributed computing, streaming environments, functional languages ...
a, The NumPy array data structure and its associated metadata fields.b, Indexing an array with slices and steps.These operations return a 'view' of the original data. c, Indexing an array with ...
1. Introduction. Graphs are a kind of data structure which models a set of objects (nodes) and their relationships (edges). Recently, researches on analyzing graphs with machine learning have been receiving more and more attention because of the great expressive power of graphs, i.e. graphs can be used as denotation of a large number of systems across various areas including social science ...
1. Introduction. Very recently, the unexpected combination of data structures and Machine Learning (ML) has led to the development of a new area of algorithmic research, called learned data structures.The key design idea consists of augmenting — and sometimes even replacing — classic building blocks of data structures, such as arrays, trees or hash tables, with ML models, which are better ...
The paper describes graph algorithms performance when using different types of data structures. To achieve that, we developed a multi-level graph processing system, which allows to create graph applications independently of any implementation details such as graph data structure or underlying computational architecture. We measure the performance of breadth-first search, max flow and random ...
These data structures are divided into four categories, which are described as follows. 1.1. Integers. It is defined as a whole number, not a fraction number, the integer number can be positive, negative, or zero. For example, 0, 2, 3, −78, and 5467. It cannot have decimal numbers. 1.2. Float.
The paper is devoted to the relevant issue of formalizing the description of a universal linear data structure. In modern programming, various data structures are described as linear data structures. The paper presents general functions for performing operations on such data structures as vector, deck, list, set and multiset. The conditions that these functions must meet are introduced as ...
Abstract. Very recently, the unexpected combination of data structures and machine learning has led to the development of a new area of research, called learned data structures. Their distinguishing trait is the ability to reveal and exploit patterns and trends in the input data for achieving more efficiency in time and space, compared to ...
A line ar data structure is a data structure in which the data elements are put consecutively or linearly, and each element is attached to its previous and next adjace nt components.
Data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently. | Explore the latest full-text research PDFs, articles, conference papers ...
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications. ... (2020) Vol. 12 (2019) Vol. 11 ...
Abstract. In the process of learning the data structure, it is very necessary to master the sorting algorithm, and in the program design, the sorting algorithm is applied frequently. Based on the importance of sorting algorithms, this paper will carefully compare the characteristics of different algorithms, starting with the work efficiency ...
The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as other areas of computer science, the book aims to update those areas that have seen advances.
This Research Full Paper presents a review of recent studies on SIGCSE about teaching programming (CS1) and data structures (CS2) for university students in computer science courses. Our main contribution is the identification of three categories and their respective subcategories for teaching programming: (i) characterization of contents, (ii) identification of pedagogical strategies and (iii ...
The papers in these RC 2023 proceedings present original research on the theory, design and application of algorithms and data structures. ... This book constitutes the refereed proceedings of the 18th International Symposium on Algorithms and Data Structures, WADS 2023, held during July 31-August 2, 2023.
Ethereum Data Structures. Ethereum platform operates with rich spectrum of data structures and hashing and coding functions. The main source describing them is the Yellow paper, complemented by a lot of informal blogs. These sources are somehow limited. In particular, the Yellow paper does not ideally balance brevity and detail, in some parts ...
It introduces students to a number of highly efficient algorithms and data structures for fundamental computational problems across a variety of areas. Students are also introduced to techniques such as amortised complexity analysis. As in the first-year course, the style of the presentation is rigorous but not formal.
Based on the importance of sorting algorithms, this paper will carefully compare the characteristics of different algorithms, starting with the work efficiency, algorithm implementation, basic ...
conference can be discussed in term of concepts, surveys, state of the art, research, standards, implementations, running experiments, applications and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to.
The TIB Portal allows you to search the library's own holdings and other data sources simultaneously. By restricting the search to the TIB catalogue, you can search exclusively for printed and digital publications in the entire stock of the TIB library.
The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as other areas of computer science, the book aims to update those areas that have seen advances.Retaining ...
Finally, this paper is only based on data from China, and in the future, a comparative study of the impact of CTP between countries on industrial structure can be conducted based on data from more ...
Simulations of these partial structures can be very helpful in understanding the origins of the PDDF features. Fig. 4 shows the PDDF analyses for γ-CD. The PDDF derived from the experimental data consists of a few peaks up to 18 Å, and the simulated PDDFs from the atomic structure successfully reproduce most of the experimental PDDF peaks.