Sofsem 2025 Theory And Practice Of Computer Science

Download Sofsem 2025 Theory And Practice Of Computer Science PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Sofsem 2025 Theory And Practice Of Computer Science book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
SOFSEM 2025: Theory and Practice of Computer Science

Author: Rastislav Královič
language: en
Publisher: Springer Nature
Release Date: 2025-02-06
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.
SOFSEM 2025: Theory and Practice of Computer Science

Author: Rastislav Královič
language: en
Publisher: Springer Nature
Release Date: 2025-02-15
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.
On the Complexity of Pumping

Author: Christian Rauch
language: en
Publisher: Logos Verlag Berlin GmbH
Release Date: 2025-07-21
Since the beginning of automata and formal language theory, researchers have studied pumping properties of formal languages in order to gain a better understanding of the computational complexity and the expressive power of various types of language accepting or generating mechanisms. The first part of this monograph studies the descriptional complexity of minimal pumping constants—the smallest value that satisfies a previously fixed pumping lemma—by comparing the constants according to various pumping lemmata. This results in a complete hierarchy of measures for regular languages. The simultaneous regulation of minimal pumping constants and other measures is improved and their operational complexity analyzed. The second part is dedicated to the computational complexity of the Pumping-Problem, that is, for a given grammar G and a value p, to decide whether the language L(G) satisfies a previously fixed pumping lemma w.r.t. the value p. Among other results, we show that the problem is decidable but computationally intractable for all studied pumping lemmata, if the language under consideration is regular, a k-rated linear language or a well-matched visibly pushdown language, and the problem becomes undecidable if the language is (linear) context-free.