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Probability-Based Multi-objective Optimization for Material Selection

by Maosheng Zheng Jie Yu Haipeng Teng Ying Cui Yi Wang

The second edition of this book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection in viewpoint of system theory, in which a brand new concept of preferable probability and its assessment as well as other treatments are introduced by authors for the first time. Hybrids of the new approach with experimental design methodologies (response surface methodology, orthogonal experimental design, and uniform experimental design) are all performed; robustness assessment and performance utility with desirable value are included; discretization treatment in the evaluation is presented; fuzzy-based approach and cluster analysis are involved; applications in portfolio investment and shortest path problem are concerned as well. The authors wish this work will cast a brick to attract jade and would make its contributions to relevant fields as a paving stone. It is designed to be used as a textbook for postgraduate and advanced undergraduate students in relevant majors, while also serving as a valuable reference book for scientists and engineers involved in related fields.

Probability, Statistics and Life Cycle Assessment: Guidance for Dealing with Uncertainty and Sensitivity

by Reinout Heijungs

This textbook discusses the use of uncertainty analysis and sensitivity analysis in environmental life cycle assessment (LCA). This is a topic which has received a lot of attention by journals, including the leading (Springer) International Journal of Life Cycle Assessment. Despite its importance, no coherent textbook exists that summarizes the progress that has been made in the last 20 years. This book attempts to fill that gap. Its audience is practitioners (professional and academic) of LCA, teachers, and Ph.D. students. It gives a very broad overview of the field: probability theory, descriptive statistics, inferential statistics, error analysis, sensitivity analysis, decision theory, etc., all in relation to LCA. Much effort has been taken to give a balanced overview, with a uniform terminology and mathematical notation.

The Problem of Coronal Heating: A Rosetta Stone for Electrodynamic Coupling in Cosmic Plasmas (Astrophysics and Space Science Library #470)

by Philip Judge James A. Ionson

This book reflects on 8 decades of research on one of the longest-standing unsolved problems in modern astrophysics: why does the Sun form a hot corona? The authors give a critical overview of the field and offer suggestions on how to bridge the chasm between what we can measure, and what we can calculate. They go back to basics to explain why the problem is difficult, where we have made progress and where we have not, to help the next generation of scientists devise novel techniques to crack such a long-lasting problem. A way forward is formulated centered around refutation, using Bayesian methods to propose and to try to reject hypotheses and models, and avoiding seduction by ``confirmation bias’’.This book is aimed at physicists, students and researchers interested in understanding, learning from and solving the coronal heating problem, in an era of new dedicated facilities such as the Parker Solar Probe and the Daniel K. Inouye Solar Telescope. Thebook will appeal to those interested in understanding research methods and how they are changing in the modern academic environment, particular in astrophysics and Earth sciences where remote sensing is essential.

Proceedings from the International Conference on Hydro and Renewable Energy: Net-Zero Carbon Energy Systems (Lecture Notes in Civil Engineering #391)

by Bri-Mathias Hodge Sanjeev Kumar Prajapati

This book comprises the select peer-reviewed proceedings of the International Conference on Hydro and Renewable Energy (ICHRE 2022). It aims to provide a comprehensive and broad-spectrum picture of the state-of-the-art research and development in the area of renewable energy technologies, grid integration challenges and opportunities, negative emission technologies, role of distributed energy resources in net zero energy carbon systems, role of hydro energy and pumped storage hydro in power sector decarbonization, policies, and regulations in achieving net zero carbon energy systems, among others. This book provides a valuable resource for those in academia and industry working in the fields of renewable energy, civil engineering, mechanical engineering, among others.

Proceedings of 4th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: ICMISC 2023 (Lecture Notes in Networks and Systems #873)

by Vinit Kumar Gunjan Jacek M. Zurada

The book is a collection of the best-selected research papers presented at the International Conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications (ICMISC 2023) held in September 2023 at the CMR Institute of Technology, Hyderabad, Telangana, India. This book will contain articles on current trends in machine learning, the internet of things, and smart city applications, emphasizing multi-disciplinary research in the area of artificial intelligence and cyberphysical systems. The book is a great resource for scientists, research scholars, and PG students to formulate their research ideas and find future directions in these areas. Further, this book serves as a reference work to understand the latest technologies used by practice engineers across the globe.

Proceedings of Data Analytics and Management: ICDAM 2023, Volume 2 (Lecture Notes in Networks and Systems #786)

by Abhishek Swaroop Zdzislaw Polkowski Sérgio Duarte Correia Bal Virdee

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.

Proceedings of Data Analytics and Management: ICDAM 2023, Volume 1 (Lecture Notes in Networks and Systems #785)

by Abhishek Swaroop Zdzislaw Polkowski Sérgio Duarte Correia Bal Virdee

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.

Proceedings of International Conference on Information Technology and Applications: ICITA 2023 (Lecture Notes in Networks and Systems #839)

by Abrar Ullah Sajid Anwar Davide Calandra Raffaele Di Fuccio

This book includes high-quality papers presented at 17th International Conference on Information Technology and Applications (ICITA 2023), held in Turin, Italy during 20 – –22 October 2023. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modelling, human computer interaction, online learning /e-learning, computer networks, and web engineering.

Proceedings of International Joint Conference on Advances in Computational Intelligence: IJCACI 2023 (Algorithms for Intelligent Systems)

by Mohammad Shorif Uddin Jagdish Chand Bansal

This book gathers outstanding research papers presented at the 7th International Joint Conference on Advances in Computational Intelligence (IJCACI 2023), held in hybrid mode at South Asian University, New Delhi, India during October 14–15, 2023. IJCACI 2023 is jointly organized by Jahangirnagar University (JU), Bangladesh and South Asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.

Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (Advances in Intelligent Systems Research #182)


This is an open access book. Big data is a large-scale and complex data set based on modern information technology. It has the characteristics of scale and diversity, and its information processing and storage capabilities have been significantly improved. The application of big data technology is to fully mine and analyze data, build cooperation and interaction between teachers and students, encourage students to communicate and interact with teachers, and give full play to the education and teaching effect of big data. In order to improve teaching quality and efficiency as much as possible, all kinds of teaching in the new era must have strong flexibility and foresight, so as to adapt to the development of modern society. So big data will give greater flexibility to educational activities. Therefore, big data will give greater flexibility to educational activities, and more and more scholars provide new ideas for the above research directions. To sum up, we will hold an international academic conference on big data and information education. The 2024 5th International Conference on Big Data and Informatization Education (ICBDIE2024) will be held on January 19–21, 2024 in Sanya, China. ICBDIE 2024 is to bring together innovative academics and industrial experts in the field of Big Data and Informatization Education to a common forum. The primary goal of the conference is to promote research and developmental activities in Big Data and Informatization Education and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in international conference on Big Data and Informatization Education and related areas.

Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning: BIM 2023 (Lecture Notes in Networks and Systems #867)

by Mohammad Shamsul Arefin M. Shamim Kaiser Touhid Bhuiyan Nilanjan Dey Mufti Mahmud

This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2023), organised by Jahangirnagar University, Bangladesh, and Daffodil International University, Bangladesh, held in Dhaka, Bangladesh, during 6–8 September 2023. The book covers research papers in the field of big data, IoT and machine learning. The book is helpful for active researchers and practitioners in the field.

Proceedings of the 3rd International Conference on Cognitive Based Information Processing and Applications–Volume 1: CIPA 2023, November 2–3, Changzhou, China (Lecture Notes on Data Engineering and Communications Technologies #196)

by Jun Ye Bernard J. Jansen Qingyuan Zhou

This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2–3, 2023. The papers represent the various technological advancements in theory, technology and application of artificial intelligence, including precision mining, intelligent computing, deep learning, and all other theories, models, and technologies related to artificial intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and intelligent computing. The book represents Volume 1 for this conference proceedings, which consists of a 3-volume book series.

Proceedings of the 4th International Conference on Experimental and Computational Mechanics in Engineering: ICECME 2022, Banda Aceh, September 14–15, 2022 (Lecture Notes in Mechanical Engineering)

by Irwansyah Mohd. Iqbal Syifaul Huzni Akhyar

This book gathers a selection of peer-reviewed papers presented at the 4th International Conference on Experimental and Computational Mechanics in Engineering (ICECME 2022), held as a virtual conference and organized by Universitas Syiah Kuala, Banda Aceh, Indonesia, on September 14–15, 2022.This book, prepared by international scientists and engineers, covers the latest advances in computational mechanics, metallurgy and material science, energy systems, manufacturing processing systems, industrial and system engineering, biomechanics, artificial intelligence, micro-/nano-engineering, micro-electro-mechanical system, machine learning, mechatronics, and engineering design. This book is intended for academics, including graduate students and researchers, as well as industrial practitioners working in the areas of experimental and computational mechanics.

Proceedings of the 4th International Conference on New Computational Social Science (Advances in Social Science, Education and Humanities Research #844)


This is an open access book. Welcome to The 4th International Conference on New Computational Social Science which will be held on March 08-10, 2024, Shenzhen, Guangdong, China. The focus of this conference are mainly five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information technology, especially sweeping progress in the Internet of things, cloud computing, social networks, social media and big data. As a data-intensive science, social computing is an emerging thing that leverages the capacity to collect and analyze data with an unprecedented breadth, depth and scale. It represents a new computing paradigm and an interdisciplinary research and application field. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners. This is an international conference on vary research aspects of Computational Social Science. We will present and discuss key concepts and analyze state-of-the-art of the field. The conference not only sheds insights on social computing, but also affords conduit for future research in the field. Social computing has two distinct trends: One is on the social science issues, such as computational social science, computational sociology, social network analysis, etc; The other is on the use of computational techniques, such as social use, hedonic use and generative use. Finally some new challenges ahead are summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect.

Proceedings of the 6th International Conference on Intelligent Computing (Advances in Computer Science Research #107)


This is an open access book. PECTEAM, being held for a period of two days, aims to witness the development of technologies in all technical and management domains. The major event in the conference is paper presentations on the latest advances in Engineering and Management disciplines from National and International academic sectors. Special emphasis is given to update newer technologies by Keynote speakers. PECTEAM is a premier platform for researchers and industry practitioners to share their new and innovative ideas, original research findings and practical development experiences in Engineering and Management through high quality peer reviewed papers.

Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling: Uncertainties 2023 (Lecture Notes in Mechanical Engineering)

by José Eduardo Souza De Cursi

This proceedings book covers a wide range of topics related to uncertainty analysis and its application in various fields of engineering and science. It explores uncertainties in numerical simulations for soil liquefaction potential, the toughness properties of construction materials, experimental tests on cyclic liquefaction potential, and the estimation of geotechnical engineering properties for aerogenerator foundation design. Additionally, the book delves into uncertainties in concrete compressive strength, bio-inspired shape optimization using isogeometric analysis, stochastic damping in rotordynamics, and the hygro-thermal properties of raw earth building materials. It also addresses dynamic analysis with uncertainties in structural parameters, reliability-based design optimization of steel frames, and calibration methods for models with dependent parameters. The book further explores mechanical property characterization in 3D printing, stochastic analysis in computational simulations, probability distribution in branching processes, data assimilation in ocean circulation modeling, uncertainty quantification in climate prediction, and applications of uncertainty quantification in decision problems and disaster management. This comprehensive collection provides insights into the challenges and solutions related to uncertainty in various scientific and engineering contexts.

Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers (Lecture Notes in Business Information Processing #503)

by Johannes De Smedt Pnina Soffer

This volume constitutes the revised selected papers of several workshops which were held in conjunction with the 5th International Conference on Process Mining, ICPM 2023, held in Rome, Italy, in October 23–27, 2023.The 38 revised full papers presented in this book were carefully reviewed and selected from 85 submissions. The book also contains one invited talk. ICPM 2023 presented the following six workshops:– 4th International Workshop on Event Data and Behavioral Analytics (EdbA)– 4th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)– 6th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)– 8th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)– 2nd International Workshop on Education Meets Process Mining (EduPM)– 2nd International Workshop on Collaboration Mining for Distributed Systems (COMINDS).

Process Monitoring and Fault Diagnosis Based on Multivariable Statistical Analysis (Engineering Applications of Computational Methods #19)

by Xiangyu Kong Jiayu Luo Xiaowei Feng

This book reports the developments of the Total Least Square (TLS) algorithms for parameter estimation and adaptive filtering. Specifically, this book introduces the authors’ latest achievements in the past 20 years, including the recursive TLS algorithms, the approximate inverse power iteration TLS algorithm, the neural based MCA algorithm, the neural based SVD algorithm, the neural based TLS algorithm, the TLS algorithms under non-Gaussian noises, performance analysis methods of TLS algorithms, etc. In order to faster the understanding and mastering of the new methods provided by this book for readers, before presenting each new method in each chapter, a specialized section is provided to review the closely related several basis models. Throughout the book, large of procedure of new methods are provided, and all new algorithms or methods proposed by us are tested and verified by numerical simulations or actual engineering applications. Readers will find illustrative demonstration examples on a range of industrial processes to study. Readers will find out the present deficiency and recent developments of the TLS parameter estimation fields, and learn from the the authors’ latest achievements or new methods around the practical industrial needs. In my opinion, this book can be assimilated by advanced undergraduates and graduate (PH.D.) students, as well as statisticians, because of the new tools in data analysis, applied mathematics experts, because of the novel theories and techniques that we propose, engineers, above all for the applications in control, system identification, computer vision, and signal processing.

Program Evaluation: A Primer for Effectiveness, Quality, and Value

by Arlene Fink

This timely, unique, and insightful book provides students and practitioners with the tools and skills needed to evaluate social and policy programs across a range of disciplines—from public health to social work to education—enabling the allocation of scarce human and financial resources to advance the health and well-being of individuals and populations. The chapters are organized according to the main tasks involved in conducting an evaluation to produce unbiased evidence of program effectiveness, quality, and value. The chapters include methods for selecting and justifying evaluation questions or hypotheses, designing evaluations, sampling participants, selecting information sources, and ensuring reliable and valid measurement. The final section of the book is focused around managing and analyzing data and transparently reporting the results in written and oral form. The book features international case studies throughout, covers quantitative, qualitative, and mixed-method approaches, and is also informed by new online methods developed during the COVID-19 pandemic. Among the book’s unique features is a focus on international standards for conducting ethical evaluations and avoiding research misconduct. Also featuring checklists, example forms, and summaries of the key ideas and topics, this very practical book is essential reading for students in the social, behavioral, and health sciences, and will be a key resource for professionals in the field.

Program Evaluation: A Primer for Effectiveness, Quality, and Value

by Arlene Fink

This timely, unique, and insightful book provides students and practitioners with the tools and skills needed to evaluate social and policy programs across a range of disciplines—from public health to social work to education—enabling the allocation of scarce human and financial resources to advance the health and well-being of individuals and populations. The chapters are organized according to the main tasks involved in conducting an evaluation to produce unbiased evidence of program effectiveness, quality, and value. The chapters include methods for selecting and justifying evaluation questions or hypotheses, designing evaluations, sampling participants, selecting information sources, and ensuring reliable and valid measurement. The final section of the book is focused around managing and analyzing data and transparently reporting the results in written and oral form. The book features international case studies throughout, covers quantitative, qualitative, and mixed-method approaches, and is also informed by new online methods developed during the COVID-19 pandemic. Among the book’s unique features is a focus on international standards for conducting ethical evaluations and avoiding research misconduct. Also featuring checklists, example forms, and summaries of the key ideas and topics, this very practical book is essential reading for students in the social, behavioral, and health sciences, and will be a key resource for professionals in the field.

Programming-Based Formal Languages and Automata Theory: Design, Implement, Validate, and Prove (Texts in Computer Science)

by Marco T. Morazán

This textbook introduces formal languages and automata theory for upper-level undergraduate or beginning graduate students. While it contains the traditional mathematical development usually employed in computational theory courses, it is also quite different from many of them. Machines, grammars, and algorithms developed as part of a constructive proof are intended to be rendered as programs. The book is divided into four parts that build on each other. Part I reviews fundamental concepts. It introduces programming in FSM and reviews program design. In addition, it reviews essential mathematical background on sets, relations, and reasoning about infinite sets. Part II starts the study of formal languages and automata theory in earnest with regular languages. It first introduces regular expressions and shows how they are used to write programs that generate words in a regular language. Given that regular expressions generate words, it is only natural to ask how a machine can recognize words in a regular language. This leads to the study of deterministic and nondeterministic finite-state machines. Part III starts the exploration of languages that are not regular with context-free languages. It begins with context-free grammars and pushdown automata to generate and recognize context-free languages, and it ends with a discussion of deterministic pushdown automata and illustrates why these automatons are fundamentally different from nondeterministic pushdown automata. Part IV eventually explores languages that are not context-free, known as context-sensitive languages. It starts by discussing the most powerful automaton known to mankind: the Turing machine. It then moves to grammars for context-sensitive languages, and their equivalence with Turing machines is explored. The book ends with a brief chapter introducing complexity theory and explores the question of determining if a solution to a problem is practical.

Proportions and Their Music: What Fractions and Tone Sequences Have to Do with Each Other

by Karlheinz Schüffler

Sounds can be harmonic, number sequences too - a coincidence?This book deals with a musical theory of proportions, i.e. the ancient doctrine of proportions as the oldest and most important common anchorage of the two cultural sciences mathematics and music.The musical theory of tones, intervals, tetrachords, sounds and scales is in fact the exact musical image of the laws of arithmetic and its symmetries in the set of rules of playing with numbers, their proportions and their medievals. Alone the miracle of the so-called Harmonia perfecta maxima 6 - 8 - 9 - 12, whose proportions determine the fifth as well as the fourth, form the octave and have the brazen whole tone in their center, shaped the musical edifice of Pythagorean music for thousands of years. This elementary chain of proportions 6 : 8 : 9 : 12 is, moreover, completely symmetrical and built up from the arithmetic as well as from the harmonic medieta of the octave numbers 6 and 12.This book develops the theory of proportions as a mathematical science and always contrasts it with the musical motivation by means of numerous examples. The main idea is the derivation of a theory of symmetry from the Harmonia perfecta maxima to the Harmonia perfecta infinita abstracta, a process of unlimited tone generations by Babylonian mean iterations. From this, both the classical-antique diatonic is simultaneously extracted and the path "from the monochord to the organ" is re-examined.Finally, the work contains a mathematically guided introduction to the ancient tetrachordics as well as to the church tonal scales and concludes with an excursion into the sound worlds of the organ. Here the "foot-number rule of the organ" leads us by means of examples into the world of the tonal dispositions of this instrument and shows the omnipresence of the ancient theory of proportions. This book is suitable for anyone with an interest in mathematics and music.This book is a translation of the original German 1st edition Proportionen und ihre Musik by Karlheinz Schüffler, Springer-Verlag GmbH Germany, part of Springer Nature in 2019. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

Python for Water and Environment (Innovations in Sustainable Technologies and Computing)

by Anil Kumar Manabendra Saharia

This textbook delves into the practical applications of surface and groundwater hydrology, as well as the environment. The Part I, "Practical Python for a Water and Environment Professional," guides readers through setting up a scientific computing environment and conducting exploratory data analysis and visualization using reproducible workflows. The Part II, "Statistical Modeling in Hydrology," covers regression models, time series analysis, and common hypothesis testing. The Part III, "Surface and Subsurface Water," illustrates the use of Python in understanding key concepts related to seepage, groundwater, and surface water flows. Lastly, the Part IV, "Environmental Applications," demonstrates the application of Python in the study of various contaminant transport phenomena.

Qualitative Forschung für Dummies (Für Dummies)

by Hendrik Godbersen

So werden aus Worten Daten Sie wollen bei einer Untersuchung mehr über Motive und Anliegen der zu untersuchenden Gruppe wissen? Dann helfen Ihnen die Methoden der qualitativen Forschung weiter. Hendrik Godbersen erklärt Ihnen von der Pike auf, was Sie über qualitative Forschung wissen müssen, um selbst eine Untersuchung vorzunehmen. Er erläutert dabei den qualitativen Forschungsansatz, Ziele und Designs sowie die Gütekriterien. Außerdem vermittelt er Ihnen, wie Sie Forschungsarbeiten strukturieren, Daten erheben und auswerten und zuletzt die Ergebnisse interpretieren. So wird Ihre Untersuchung gewiss ein Erfolg. Sie erfahren Wie Sie Interviews führen und Gruppendiskussionen leiten Wie Sie qualitative Daten aufzeichnen und transkribieren Wie Sie die richtige Methode für die Datenauswertung nutzen Wie Sie die Qualität Ihrer Untersuchung sichern

Quanten-Zufallszahlengenerierung: Theorie und Praxis

by Stefan Rass Stefan Schauer Christian Kollmitzer Benjamin Rainer

Dieses Buch bietet einen Überblick über die neuesten Implementierungen von Quanten-Zufallszahlengeneratoren (QRNGs) und untersucht insbesondere deren Beziehung zu klassischen statistischen Zufallsmodellen und numerischen Techniken zur Berechnung von Zufallszahlen. Der Leser - der idealerweise einen Hintergrund in klassischer Statistik, Informatik oder Kryptographie hat - wird Schritt für Schritt in die Welt der Quantenbits eingeführt, und es werden explizite Beziehungen zwischen QRNGs und ihren klassischen Gegenstücken aufgezeigt. Die Erzeugung von Zufallszahlen ist eine wichtige Säule der Kryptographie. Die Nutzung des Zufalls, der Quantenphänomenen innewohnt, ist ein sich rasch entwickelnder Zweig der Quantenkryptografie mit unzähligen Anwendungen für die Zukunft. Der Wert der Quantenzufälligkeit für kryptografische Zwecke wird empirisch durch statistische Auswertungen der Leistung von QRNGs im Vergleich zu klassischen Techniken zur Erzeugung echter und pseudozufälliger Zahlen nachgewiesen. Das Buch bietet dann einen Überblick über die technischen Implementierungen von QRNGs, bevor eine abschließende Diskussion über die wichtigsten Errungenschaften und verbleibenden Hindernisse auf diesem Gebiet die Berichterstattung abrundet und gleichzeitig die Tür für zukünftige Forschungsrichtungen öffnet.

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