Latin 2024 Theoretical Informatics
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Latin 2024 Theoretical Informatics
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Author : José A. Soto
language : en
Publisher: Springer Nature
Release Date : 2024-03-05
Latin 2024 Theoretical Informatics written by José A. Soto and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-05 with Computers categories.
This book constitutes the proceedings of the 16th Latin American Symposium on Theoretical Informatics, LATIN 2042, which took place in Puerto Varas, Chile, in March 2024. The 44 papers presented in this volume were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows:Part I: Algorithms and Data Structures; Approximation and Online Algorithms; Complexity Theory; Part II: Combinatorics and Graph Theory; Parameterized Algorithms; Automata Theory and Formal Languages; and Game Theory and Fairness.
Latin 2024 Theoretical Informatics
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Author : José A. Soto
language : en
Publisher: Springer
Release Date : 2024-04-15
Latin 2024 Theoretical Informatics written by José A. Soto and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-15 with Computers categories.
This book constitutes the proceedings of the 16th Latin American Symposium on Theoretical Informatics, LATIN 2042, which took place in Puerto Varas, Chile, in March 2024. The 44 papers presented in this volume were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows:Part I: Algorithms and Data Structures; Approximation and Online Algorithms; Complexity Theory; Part II: Combinatorics and Graph Theory; Parameterized Algorithms; Automata Theory and Formal Languages; and Game Theory and Fairness.
Graph Theoretic Concepts In Computer Science
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Author : Daniel Kráľ
language : en
Publisher: Springer Nature
Release Date : 2025-01-21
Graph Theoretic Concepts In Computer Science written by Daniel Kráľ and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Mathematics categories.
This book constitutes the refereed proceedings of the 50th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2024, held in Gozd Martuljek, Slovenia in June 2024, The 31 papers presented in this volume were carefully reviewed and selected from 89 submissions. Additionally, this volume also contains a survey on approximation algorithms for tree-width, path-width, and tree-depth prepared by Hans Bodlander, who delivered the Test of Time Award talk at WG 2024. The WG 2024 workshop aims to merge theory and practice by demonstrating how concepts from graph theory can be applied to various areas in computer science or by extracting new graph-theoretic problems from applications.
Algorithms And Complexity
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Author : Irene Finocchi
language : en
Publisher: Springer Nature
Release Date : 2025-05-17
Algorithms And Complexity written by Irene Finocchi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-17 with Computers categories.
The two-volume set LNCS 15679 and 15680 constitutes the refereed proceedings of the 14th International Conference on Algorithms and Complexity, CIAC 2025, held in Rome, Italy, during June 10–12, 2025. The 44 full papers included in these proceedings were carefully reviewed and selected from 110 submissions. They focus on all aspects of important venue for researchers working on computational complexity and the design, analysis, experimentation, and application of efficient algorithms and data structures.
Sofsem 2025 Theory And Practice Of Computer Science
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Author : Rastislav Královič
language : en
Publisher: Springer Nature
Release Date : 2025-02-15
Sofsem 2025 Theory And Practice Of Computer Science written by Rastislav Královič and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-15 with Computers categories.
This book constitutes the proceedings of the 50th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2025, held in Bratislava, Slovak Republic, during January 20-23, 2025. The 48 full papers presented in this book were carefully reviewed and selected from 109 submissions. They include original research from all areas of foundations of computer science and artificial intelligence focusing on AI-based algorithms and techniques, nature-inspired computing, machine learning theory, multi-agent algorithms and games, neural network theory, parallel and distributed computing, quantum computing, computability, decidability, classical and non-classical models of computation, computational complexity, computational learning, cryptographic techniques and security, data compression, data and pattern mining methods, discrete combinatorial optimization, automata, languages, machine models, rewriting systems, efficient data structures, graph structure and algorithms, logics of computation, robotics, and other relevant theory topics in computing and AI.
Algorithms And Discrete Applied Mathematics
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Author : Daya Gaur
language : en
Publisher: Springer Nature
Release Date : 2025-02-04
Algorithms And Discrete Applied Mathematics written by Daya Gaur and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-04 with Computers categories.
This book constitutes the refereed proceedings of the 11th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2025, held in Coimbatore, India, during February 13–15, 2025. The 30 full papers included in this book were carefully reviewed and selected from 89 submissions.The conference had papers in algorithms and complexity, discrete applied mathematics, computational geometry, graph theory, graph colouring, graph partition, and domination in graphs.
Advances In Cryptology Eurocrypt 2024
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Author : Marc Joye
language : en
Publisher: Springer Nature
Release Date : 2024-04-27
Advances In Cryptology Eurocrypt 2024 written by Marc Joye and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-27 with Computers categories.
The 7-volume set LNCS 14651 - 14657 conference volume constitutes the proceedings of the 43rd Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2024, held in in Zurich, Switzerland, in May 2024. The 105 papers included in these proceedings were carefully reviewed and selected from 500 submissions. They were organized in topical sections as follows: Part I: Awarded papers; symmetric cryptology; public key primitives with advanced functionalities; Part II: Public key primitives with advances functionalities; Part III: AI and blockchain; secure and efficient implementation, cryptographic engineering, and real-world cryptography; theoretical foundations; Part IV: Theoretical foundations; Part V: Multi-party computation and zero-knowledge; Part VI: Multi-party computation and zero-knowledge; classic public key cryptography, Part VII: Classic public key cryptography.
Intelligent Technology For Future Transportation
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Author : Abolhassan Razminia
language : en
Publisher: Springer Nature
Release Date : 2025-03-11
Intelligent Technology For Future Transportation written by Abolhassan Razminia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-11 with Computers categories.
This book constitutes the refereed proceedings of the First International Symposium on Intelligent Technology for Future Transportation, ITFT 2024, held in Helsinki, Finland, during October 19–21, 2024. The 32 full papers presented in this volume were carefully reviewed and selected from 74 submissions. They are organized according to the following topics: Intelligent Vehicle Technology and Applications; Intelligent Transportation Management and Traffic Flow Analysis; and Intelligent Transportation Infrastructure and Sustainable Transportation.
Research In Computational Molecular Biology
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Author : Sriram Sankararaman
language : en
Publisher: Springer Nature
Release Date : 2025-05-26
Research In Computational Molecular Biology written by Sriram Sankararaman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Computers categories.
This book constitutes the proceedings of the 29th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2025, held in Seoul, South Korea, during April 26–29, 2025. The 14 full papers and 41 short papers were carefully reviewed and selected from 339 submissions. They focus on advances in computational biology and applications in molecular biology and medicine. The conference aims at bridging the computational, mathematical, statistical, and biological sciences, and bringing together researchers, professionals, students and industrial practitioners from all over the world for interaction and exchange of new developments in all areas of bioinformatics and computational biology.
Advancing Uncertain Combinatorics Through Graphization Hyperization And Uncertainization Fuzzy Neutrosophic Soft Rough And Beyond
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Author : Takaaki Fujita
language : en
Publisher: Infinite Study
Release Date : 2025-01-24
Advancing Uncertain Combinatorics Through Graphization Hyperization And Uncertainization Fuzzy Neutrosophic Soft Rough And Beyond written by Takaaki Fujita and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-24 with Mathematics categories.
This book is the sixth volume in the series of Collected Papers on Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond. Building upon the foundational contributions of previous volumes, this edition focuses on the exploration and development of Various New Uncertain Concepts, further enriching the study of uncertainty and complexity through innovative theoretical advancements and practical applications. The volume is meticulously organized into 15 chapters, each presenting unique perspectives and contributions to the field. From theoretical explorations to real-world applications, these chapters provide a cohesive and comprehensive overview of the state of the art in uncertain combinatorics, emphasizing the versatility and power of the newly introduced concepts and methodologies. The first chapter (SuperHypertree-depth – Structural Analysis in SuperHyperGraphs) explores the concept of SuperHypertree-depth, an extension of the classical graph parameter Tree-depth and its hypergraph counterpart Hypertree-depth. By introducing hierarchical nesting within SuperHyperGraphs, where both vertices and edges can represent recursive subsets, this study investigates the mathematical properties and structural implications of these extended parameters. The findings highlight the relationships between SuperHypertree-depth and its traditional graph-theoretic equivalents, providing a deeper understanding of their applicability to hierarchical and complex systems. The second chapter (Obstructions for Hypertree-width and SuperHypertree-width) examines the role of ultrafilters as obstructions in determining Hypertree-width and extends the concept to SuperHypertree-width. Building on hypergraph theory, which abstracts traditional graph frameworks into more complex domains, the study investigates how recursive structures within SuperHyperGraphs redefine the computational and structural properties of these parameters. Ultrafilters, with their broad mathematical significance, serve as critical tools for understanding the limitations and potentials of these advanced graph metrics. The third chapter (SuperHypertree-Length and SuperHypertree-Breadth in SuperHyperGraphs) investigates the extension of the graph-theoretic parameters Tree-length and Tree-breadth to the realms of hypergraphs and SuperHyperGraphs. By leveraging the hierarchical nesting of SuperHyperGraphs, the study explores how these parameters adapt to increasingly complex and multi-level structures. Comparative analyses between these extended parameters and their classical counterparts reveal new insights into their relevance and utility in advanced graph and hypergraph theory. Plithogenic Sets, which generalize Fuzzy and Neutrosophic Sets, are extended in the fourth chapter (Extended HyperPlithogenic Sets and Generalized Plithogenic Graphs) to Extended Plithogenic Sets, HyperPlithogenic Sets, and SuperHyperPlithogenic Sets. This study further investigates their application to graph theory through the concepts of Extended Plithogenic Graphs and Generalized Extended Plithogenic Graphs. The chapter provides a concise exploration of these frameworks, offering insights into their potential for addressing uncertainty and complexity in graph structures. Soft Sets provide an effective framework for decision-making by mapping parameters to subsets of a universal set, addressing uncertainty and vagueness. The fifth chapter (Double-Framed Superhypersoft Set and Double-Framed Treesoft Set) introduces the Double-Framed SuperHypersoft Set and the Double-Framed Treesoft Set as extensions of traditional and advanced soft set frameworks, such as Hypersoft and SuperHypersoft Sets. The chapter explores their relationships with existing concepts, offering new tools to handle complex decision-making scenarios with enhanced structural flexibility. The sixth paper (HyperPlithogenic Cubic Set and SuperHyperPlithogenic Cubic Set) introduces the concepts of the HyperPlithogenic Cubic Set and SuperHyperPlithogenic Cubic Set, which extend the Plithogenic Cubic Set by integrating both interval-valued and single-valued fuzzy memberships. These sets leverage multi-attribute aggregation techniques inherent to plithogenic structures, allowing for nuanced representations of uncertainty. Additionally, related constructs such as the HyperPlithogenic Fuzzy Cubic Set, HyperPlithogenic Intuitionistic Fuzzy Cubic Set, and HyperPlithogenic Neutrosophic Cubic Set are explored, further enriching the theoretical and practical applications of this framework. The seventh chapter (L-Neutrosophic Sets and Nonstationary Neutrosophic Sets) extends the foundational concepts of fuzzy sets by integrating Neutrosophic and Plithogenic frameworks. By introducing L-Neutrosophic Sets and Nonstationary Neutrosophic Sets, the study enhances the representation of uncertainty through independent membership components: truth, indeterminacy, and falsity. These advanced constructs also incorporate multi-dimensional and contradictory attributes, providing a robust means of modeling complex decision-making and uncertain data. Plithogenic and Rough Sets, known for generalizing uncertainty modeling and classification, are extended in the eight chapter (Forest HyperPlithogenic and Forest HyperRough Sets) to Forest HyperPlithogenic Sets, Forest SuperHyperPlithogenic Sets, Forest HyperRough Sets, and Forest SuperHyperRough Sets. These frameworks incorporate hierarchical and recursive structures to advance existing set-theoretic paradigms. The chapter explores their applications in multi-level data analysis and uncertainty classification, demonstrating their adaptability to complex systems. Building on Fuzzy, Neutrosophic, and Plithogenic Sets, the tenth chapter (Symbolic HyperPlithogenic Sets) introduces Symbolic HyperPlithogenic Sets and Symbolic n-SuperHyperPlithogenic Sets. These sets incorporate symbolic components and algebraic coefficients, enabling flexible operations within a defined prevalence order. By extending symbolic representation into hyperplithogenic and superhyperplithogenic domains, the chapter opens new pathways for addressing uncertainty and hierarchical complexity in mathematical modeling. Soft Sets, designed to manage uncertainty and imprecision, have evolved through various extensions like Hypersoft Sets and SuperHypersoft Sets. The eleventh chapter (N-SuperHypersoft and Bijective SuperHypersoft Sets) introduces N-SuperHypersoft Sets, N-Treesoft Sets, Bijective SuperHypersoft Sets, and Bijective Treesoft Sets. These new constructs enhance decision-making frameworks by incorporating advanced hierarchical and bijective relationships, building on existing theories and expanding their applications. Plithogenic Sets, known for integrating multi-valued attributes and contradictions, and Rough Sets, which partition data into definable approximations, are combined in the twelfth chapter (Plithogenic Rough Sets) to form Plithogenic Rough Sets. This fusion provides a powerful framework for addressing uncertainty in dynamic and complex decision-making scenarios, offering a novel approach to uncertainty modeling. Expanding on Neutrosophic Sets, which represent truth, indeterminacy, and falsehood, this chapter introduces Plithogenic Duplets and Plithogenic Triplets. These constructs leverage the Plithogenic framework to incorporate attributes, values, and contradiction measures. The thirteenth chapter (Plithogenic Duplets and Triplets) examines their relationships with Neutrosophic Duplets and Triplets, offering new tools for multi-dimensional data representation and decision-making. Building on foundational concepts like Rough Sets and Vague Sets, the fourteenth chapter (SuperRough and SuperVague Sets) introduces SuperRough Sets and SuperVague Sets. These generalized frameworks extend uncertainty modeling by incorporating hierarchical structures. The study also demonstrates that SuperRough Sets can evolve into SuperHyperRough Sets, providing further generalizations for advanced data classification and analysis. The fifteenth chapter (Neutrosophic TreeSoft Expert and ForestSoft Sets) revisits the Neutrosophic TreeSoft Set, which combines the hierarchical structure of TreeSoft Sets with the Neutrosophic framework for uncertainty representation. Additionally, it introduces the Neutrosophic TreeSoft Expert Set, incorporating expert knowledge into the model. The chapter also explores the ForestSoft Set and its extension, the Neutrosophic ForestSoft Set, to provide multi-level, tree-structured approaches for complex data representation and analysis.