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This monograph provides the readers with a concise overview of quantified derandomization. It also offers a host of concrete challenges and open questions surrounding the topic.
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Computer science - Mathematics --- Communication - Mathematics --- Computer science --- Communication
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This book constitutes the refereed proceedings of the 13th International Conference on Optimization and Applications, OPTIMA 2022, held in Petrovac, Montenegro, during September 26–30, 2022. The 17 full papers and presented were carefully reviewed and selected from 43 submissions. They were organized into the following as follows: mathematical programming; global optimization; discrete and combinatorial optimization; optimal control; optimization and data analysis; and game theory and mathematical economics.
Computer science—Mathematics. --- Mathematical Applications in Computer Science. --- Computer science --- Mathematics. --- Computer mathematics --- Electronic data processing --- Mathematics --- Computer networks --- Optical data processing --- Processament òptic de dades --- Programació (Matemàtica)
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This book constitutes the proceedings of the 8th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2022, which was held in Puducherry, India, during February 10-12, 2022. The 24 papers presented in this volume were carefully reviewed and selected from 80 submissions. The papers were organized in topical sections named: graph theory, graph algorithms, computational geometry, algorithms and optimization.
Computer science --- Algorithms --- Mathematics --- Computer science—Mathematics. --- Algorithms. --- Data structures (Computer science). --- Information theory. --- Discrete mathematics. --- Mathematics of Computing. --- Data Structures and Information Theory. --- Discrete Mathematics in Computer Science. --- Discrete mathematical structures --- Mathematical structures, Discrete --- Structures, Discrete mathematical --- Numerical analysis --- Communication theory --- Communication --- Cybernetics --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Algorism --- Algebra --- Arithmetic --- Foundations
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This book constitutes the proceedings of the 8th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2022, which was held in Puducherry, India, during February 10-12, 2022. The 24 papers presented in this volume were carefully reviewed and selected from 80 submissions. The papers were organized in topical sections named: graph theory, graph algorithms, computational geometry, algorithms and optimization.
Computer science—Mathematics. --- Algorithms. --- Data structures (Computer science). --- Information theory. --- Discrete mathematics. --- Mathematics of Computing. --- Data Structures and Information Theory. --- Discrete Mathematics in Computer Science. --- Discrete mathematical structures --- Mathematical structures, Discrete --- Structures, Discrete mathematical --- Numerical analysis --- Communication theory --- Communication --- Cybernetics --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Algorism --- Algebra --- Arithmetic --- Foundations --- Algorismes --- Matemàtica discreta --- Matemàtica aplicada --- Data structures (Computer science)
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Software programs are formal entities with precise meanings independent of their programmers, so the transition from ideas to programs necessarily involves a formalisation at some point. The first part of this graduate-level introduction to formal methods develops an understanding of what constitutes formal methods and what their place is in Software Engineering. It also introduces logics as languages to describe reasoning and the process algebra CSP as a language to represent behaviours. The second part offers specification and testing methods for formal development of software, based on the modelling languages CASL and UML. The third part takes the reader into the application domains of normative documents, human machine interfaces, and security. Use of notations and formalisms is uniform throughout the book. Topics and features: Explains foundations, and introduces specification, verification, and testing methods Explores various application domains Presents realistic and practical examples, illustrating concepts Brings together contributions from highly experienced educators and researchers Offers modelling and analysis methods for formal development of software Suitable for graduate and undergraduate courses in software engineering, this uniquely practical textbook will also be of value to students in informatics, as well as to scientists and practical engineers, who want to learn about or work more effectively with formal theories and methods. Markus Roggenbach is a Professor in the Dept. of Computer Science of Swansea University. Antonio Cerone is an Associate Professor in the Dept. of Computer Science of Nazarbayev University, Nur-Sultan. Bernd-Holger Schlingloff is a Professor in the Institut für Informatik of Humboldt-Universität zu Berlin. Gerardo Schneider is a Professor in the Dept. of Computer Science and Engineering of University of Gothenburg. Siraj Ahmed Shaikh is a Professor in the Institute for Future Transport and Cities of Coventry University.
Software engineering. --- Software engineering --- Computer programs. --- Computer software engineering --- Engineering --- Computer science. --- Computer science—Mathematics. --- Engineering mathematics. --- Engineering—Data processing. --- Application software. --- Theory of Computation. --- Software Engineering. --- Computer Science Logic and Foundations of Programming. --- Symbolic and Algebraic Manipulation. --- Mathematical and Computational Engineering Applications. --- Computer and Information Systems Applications. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Engineering analysis --- Mathematical analysis --- Informatics --- Science --- Mathematics --- Enginyeria de programari
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This book showcases recent research advances in service science and related fields. Including selected papers from the 2022 INFORMS International Conference on Service Science, held in Shenzhen, China from July 2 to 4, 2022, the book presents new theories and empirical results in the emerging, interdisciplinary field of digital transformation and society. Incorporating research, education and practice alike, the respective chapters highlight a host of ways to approach these challenges in service science.
Business. --- Ciències empresarials --- Trade --- Economics --- Management --- Commerce --- Industrial management --- Ciència empresarial --- Economia d'empresa --- Comptabilitat --- Direcció d'empreses --- Ensenyament d'economia i empresa --- Màrqueting --- Operations research. --- Service industries. --- Production management. --- Quantitative research. --- Computer science—Mathematics. --- Business information services. --- Operations Research and Decision Theory. --- Services. --- Operations Management. --- Data Analysis and Big Data. --- Mathematical Applications in Computer Science. --- IT in Business. --- Business --- Business enterprises --- Information services --- Data analysis (Quantitative research) --- Exploratory data analysis (Quantitative research) --- Quantitative analysis (Research) --- Quantitative methods (Research) --- Research --- Manufacturing management --- Industries --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- System theory --- Computer science --- Mathematics.
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This book presents a collection of selected papers presented at the 22nd FAI International Conference on Mathematical, Computational Intelligence and Engineering Approaches to Healthcare, Business and Tourism Analytics (FAI-ICMCIE 2020), held at American College, Madurai, India, from 20–22 December 2020. This book discusses advanced mathematical concepts and computational intelligence approaches for: medical diagnostic approach in cardiac diseases, nano topology in medical diseases, stability of indicators in assessing business development, AI-guided paradigmatic competence in science and spirituality integration, neural network-TOPSIS analytics in hotel service quality, itinerary planning destination ranking tourism analytics, molecular modeling and docking simulation for unraveling medicinal properties, value-oriented approach on commercial banks security, Brownian motion in shares of the bank, internet of things linking to social media and e-commerce, and more, which are discussed by using fuzzy analytics, nano-topology, statistical, TOPSIS and neural network tools.
Engineering mathematics. --- Engineering—Data processing. --- Computer science—Mathematics. --- Biomathematics. --- Social sciences—Mathematics. --- Tourism. --- Management. --- Quantitative research. --- Mathematical and Computational Engineering Applications. --- Mathematical Applications in Computer Science. --- Mathematical and Computational Biology. --- Mathematics in Business, Economics and Finance. --- Tourism Management. --- Data Analysis and Big Data. --- Data analysis (Quantitative research) --- Exploratory data analysis (Quantitative research) --- Quantitative analysis (Research) --- Quantitative methods (Research) --- Research --- Administration --- Industrial relations --- Organization --- Holiday industry --- Operators, Tour (Industry) --- Tour operators (Industry) --- Tourism --- Tourism industry --- Tourism operators (Industry) --- Tourist industry --- Tourist trade --- Tourist traffic --- Travel industry --- Visitor industry --- Service industries --- National tourism organizations --- Travel --- Biology --- Mathematics --- Engineering --- Engineering analysis --- Mathematical analysis --- Economic aspects --- Intel·ligència computacional --- Aplicacions industrials --- Mathematics.
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This book organizes principles and methods of signal processing and machine learning into the framework of coherence. The book contains a wealth of classical and modern methods of inference, some reported here for the first time. General results are applied to problems in communications, cognitive radio, passive and active radar and sonar, multi-sensor array processing, spectrum analysis, hyperspectral imaging, subspace clustering, and related. The reader will find new results for model fitting; for dimension reduction in models and ambient spaces; for detection, estimation, and space-time series analysis; for subspace averaging; and for uncertainty quantification. Throughout, the transformation invariances of statistics are clarified, geometries are illuminated, and null distributions are given where tractable. Stochastic representations are emphasized, as these are central to Monte Carlo simulations. The appendices contain a comprehensive account of matrix theory, the SVD, the multivariate normal distribution, and many of the important distributions for coherence statistics. The book begins with a review of classical results in the physical and engineering sciences where coherence plays a fundamental role. Then least squares theory and the theory of minimum mean-squared error estimation are developed, with special attention paid to statistics that may be interpreted as coherence statistics. A chapter on classical hypothesis tests for covariance structure introduces the next three chapters on matched and adaptive subspace detectors. These detectors are derived from likelihood reasoning, but it is their geometries and invariances that qualify them as coherence statistics. A chapter on independence testing in space-time data sets leads to a definition of broadband coherence, and contains novel applications to cognitive radio and the analysis of cyclostationarity. The chapter on subspace averaging reviews basic results and derives an order-fitting rule for determining the dimension of an average subspace. These results are used to enumerate sources of acoustic and electromagnetic radiation and to cluster subspaces into similarity classes. The chapter on performance bounds and uncertainty quantification emphasizes the geometry of the Cramèr-Rao bound and its related information geometry.
Signal processing. --- Computer science—Mathematics. --- Mathematical statistics. --- Machine learning. --- Signal, Speech and Image Processing . --- Probability and Statistics in Computer Science. --- Machine Learning. --- Processament de senyals --- Aprenentatge automàtic --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Learning, Machine --- Artificial intelligence --- Machine theory --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Aprenentatge (Intel·ligència artificial) --- Aprenentatge estadístic --- Teoria de l'aprenentatge estadístic --- Intel·ligència artificial --- Teoria de màquines --- Aprenentatge per reforç (Intel·ligència artificial) --- Sistemes classificadors (Intel·ligència artificial) --- Tractament de senyals --- Tractament del senyal --- Tractament dels senyals --- Processament del senyal --- Dispositius d'acoblament de càrrega --- Processament digital de senyals --- Statistical methods --- Computer science --- Mathematics. --- Computer mathematics --- Electronic data processing
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This open access book surveys the progress in addressing selected challenges related to the growth of big data in combination with increasingly complicated hardware. It emerged from a research program established by the German Research Foundation (DFG) as priority program SPP 1736 on Algorithmics for Big Data where researchers from theoretical computer science worked together with application experts in order to tackle problems in domains such as networking, genomics research, and information retrieval. Such domains are unthinkable without substantial hardware and software support, and these systems acquire, process, exchange, and store data at an exponential rate. The chapters of this volume summarize the results of projects realized within the program and survey-related work. This is an open access book.
Computer networks. --- Data structures (Computer science). --- Information theory. --- Computer science—Mathematics. --- Algorithms. --- Computer Communication Networks. --- Data Structures and Information Theory. --- Mathematics of Computing. --- Design and Analysis of Algorithms. --- Algorism --- Algebra --- Arithmetic --- Communication theory --- Communication --- Cybernetics --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Foundations --- Distributed processing --- Data structures (Computer science) --- Algorismes computacionals --- Dades massives
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