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From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming (EURO Advanced Tutorials on Operational Research)
by Paolo BrandimarteDynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool. This book fills a gap between the statement of DP principles and their actual software implementation. Using MATLAB throughout, this tutorial gently gets the reader acquainted with DP and its potential applications, offering the possibility of actual experimentation and hands-on experience. The book assumes basic familiarity with probability and optimization, and is suitable to both practitioners and graduate students in engineering, applied mathematics, management, finance and economics.
From Smart City to Smart Factory for Sustainable Future: Conceptual Framework, Scenarios, and Multidiscipline Perspectives (Lecture Notes in Networks and Systems #1062)
by Marek Pagac Jiri Hajnys Tomasz Kozior Hoang-Sy Nguyen Van Dung Nguyen Akash NagThis volume includes the proceedings of the 2nd International Conference on "From Smart City to Smart Factory for a Sustainable Future" (SCFF24), held at VSB - Technical University of Ostrava from May 14 to 16, 2024. The conference was organized in collaboration with university and institute partners from Czech Republic, Poland, India, and Vietnam. SCFF24 covers a broad range of topics, with a particular focus on the application of technologies in Smart Cities and Smart Factories to achieve a Sustainable Future. The Conference aims to bring together participants from diverse fields to share their knowledge, innovative ideas, and solutions to current challenges that hinder progress toward a more modern and sustainable life that we all share. In light on this, it also serves as a platform for the mutual exchange of experiences and the formation of enduring international collaborations. This book offers a comprehensive and multi-perspective view, providing readers with insights into the latest technological possibilities from voices around the world, with the hope of raising awareness and fostering further advancements in these fields.
From Software Engineering to Formal Methods and Tools, and Back: Essays Dedicated to Stefania Gnesi on the Occasion of Her 65th Birthday (Lecture Notes in Computer Science #11865)
by Maurice H. ter Beek Alessandro Fantechi Laura SeminiThis volume was published in honor of Stefania Gnesi’s 65th birthday. The Festschrift volume contains 32 papers written by close collaborators and friends of Stefania and was presented to her on October 8, 2019 one-day colloquium held in Porto, Portugal, The Festschrift consists of eight sections, seven of which reflect the main research areas to which Stefania has contributed. Following a survey of Stefania's legacy in research and a homage by her thesis supervisor, these seven sections are ordered according to Stefania's life cycle in research, from software engineering to formal methods and tools, and back: Software Engineering; Formal Methods and Tools; Requirements Engineering; Natural Language Processing; Software Product Lines; Formal Verification; and Applications.
From Special Relativity to Feynman Diagrams
by Riccardo D'Auria Mario TrigianteThis book, now in its second edition, provides an introductory course on theoretical particle physics with the aim of filling the gap that exists between basic courses of classical and quantum mechanics and advanced courses of (relativistic) quantum mechanics and field theory. After a concise but comprehensive introduction to special relativity, key aspects of relativistic dynamics are covered and some elementary concepts of general relativity introduced. Basics of the theory of groups and Lie algebras are explained, with discussion of the group of rotations and the Lorentz and Poincaré groups. In addition, a concise account of representation theory and of tensor calculus is provided. Quantization of the electromagnetic field in the radiation range is fully discussed. The essentials of the Lagrangian and Hamiltonian formalisms are reviewed, proceeding from systems with a finite number of degrees of freedom and extending the discussion to fields. The final four chapters are devoted to development of the quantum field theory, ultimately introducing the graphical description of interaction processes by means of Feynman diagrams. The book will be of value for students seeking to understand the main concepts that form the basis of contemporary theoretical particle physics and also for engineers and lecturers. An Appendix on some special relativity effects is added.
From Statistics to Mathematical Finance
by Dietmar Ferger Wenceslao González Manteiga Thorsten Schmidt Jane-Ling WangThis book, dedicated to Winfried Stute on the occasion of his 70th birthday, presents a unique collection of contributions by leading experts in statistics, stochastic processes, mathematical finance and insurance. The individual chapters cover a wide variety of topics ranging from nonparametric estimation, regression modelling and asymptotic bounds for estimators, to shot-noise processes in finance, option pricing and volatility modelling. The book also features review articles, e. g. on survival analysis.
From STEM to STEAM: A Study of Art from the Perspective of Science, Technology, Engineering, and Mathematics (Synthesis Lectures on Engineering, Science, and Technology)
by Arthur David SniderThis book provides readers with an introductory overview of art from the perspective of science, technology, engineering, and mathematics. The author utilizes well-known and important works of art to demonstrate how STEM concepts apply to them. The book’s examples include a structural analysis of Michelangelo’s David. The author covers major breakthroughs in art history, such as the discovery of perspective. The book also discusses other important elements of art, such as color, from a scientific point of view. The author ensures that readers will understand the art terms used by comparing them with terms used in STEM fields of study.
From Sugar to Splenda
by Bert Fraser-ReidMore than just coincidence connects a Tate & Lyle lawsuit and artificial sweetener to Jamaican-born Chemist Bert Fraser-Reid. From his first experience of Chemistry through his diabetic father, to his determination and drive as a Chemistry student in Canada, Fraser-Reid weaves a remarkable tale integrating science, law and autobiographical anecdotes. This book arises from the lawsuit brought by Tate & Lyle against companies accused of infringing its patents for sucralose, the sweet ingredient in the artificial sweetener SPLENDA which is made by chlorinating sugar. From a 1958 undergraduate intern witnessing the pioneering experiments on sugar chlorination, to being the 1991 recipient of the world's premiere prize for carbohydrate chemistry, Fraser-Reid was groomed for his role as expert witness in the mentioned lawsuit. Nevertheless, it seems more than his career links Fraser-Reid to the case.
From Text to 'Lived' Resources
by Birgit Pepin Ghislaine Gueudet Luc TroucheWhat kinds of curriculum materials do mathematics teachers select and use, and how? This question is complex, in a period of deep evolutions of teaching resources, with the proficiency of online resources in particular. How do teachers learn from these materials, and in which ways do they 'tailor' them for their use and pupil learning? Teachers collect resources, select, transform, share, implement, and revise them. Drawing from the French term « ingénierie documentaire »,we call these processes « documentation ». The literal English translation is « to work with documents », but the meaning it carries is richer. Documentation refers to the complex and interactive ways that teachers work with resources; in-class and out-of-class, individually, but also collectively.
From the Golden Rectangle to the Fibonacci Sequences (Springer Texts in Education)
by Opher Liba Bat-Sheva IlanyThe book takes us on a fascinating journey through one of the most beautiful and fascinating topics of mathematics. It presents a wealth of information about the golden ratio and the Fibonacci sequence. The book introduces the reader to novel perspectives to classic mathematical concepts and problems. The book’s structure engages with the reader actively, leading to more profound understanding, satisfaction and deep insights in learning mathematics. The book strengthens and expands the readers' mathematical knowledge, allowing them a glimpse of several advanced academic concepts. It demonstrates and instils the essence of mathematical research, along the lines of George Polya: observation, conjecture, proof, implementation, generalization and raising new questions.
From Trotsky to Gödel: The Life of Jean van Heijenoort
by Anita Burdman FefermanThis story of a highly intelligent observer of the turbulent 20th century who was intimately involved as the secretary and bodyguard to Leon Trotsky is based on extensive interviews with the subject, Jean van Heijenoort, and his family, friends, and colleagues. The author has captured the personal drama and the professional life of her protagonist--ranging from the political passion of a young intellectual to the scientific and historic work in the most abstract and yet philosophically important area of logic--in a very readable narrative.
From Unimodal to Multimodal Machine Learning: An Overview (SpringerBriefs in Computer Science)
by Blaž ŠkrljWith the increasing amount of various data types, machine learning methods capable of leveraging diverse sources of information have become highly relevant. Deep learning-based approaches have made significant progress in learning from texts and images in recent years. These methods enable simultaneous learning from different types of representations (embeddings). Substantial advancements have also been made in joint learning from different types of spaces. Additionally, other modalities such as sound, physical signals from the environment, and time series-based data have been recently explored. Multimodal machine learning, which involves processing and learning from data across multiple modalities, has opened up new possibilities in a wide range of applications, including speech recognition, natural language processing, and image recognition.From Unimodal to Multimodal Machine Learning: An Overview gradually introduces the concept of multimodal machine learning, providing readers with the necessary background to understand this type of learning and its implications. Key methods representative of different modalities are described in more detail, aiming to offer an understanding of the peculiarities of various types of data and how multimodal approaches tend to address them (although not yet in some cases). The book examines the implications of multimodal learning in other domains and presents alternative approaches that offer computationally simpler yet still applicable solutions. The final part of the book focuses on intriguing open research problems, making it useful for practitioners who wish to better understand the limitations of existing methods and explore potential research avenues to overcome them
Front Tracking for Hyperbolic Conservation Laws
by Nils Henrik Risebro Helge HoldenThis is the second edition of a well-received book providing the fundamentals of the theory hyperbolic conservation laws. Several chapters have been rewritten, new material has been added, in particular, a chapter on space dependent flux functions and the detailed solution of the Riemann problem for the Euler equations. Hyperbolic conservation laws are central in the theory of nonlinear partial differential equations and in science and technology. The reader is given a self-contained presentation using front tracking, which is also a numerical method. The multidimensional scalar case and the case of systems on the line are treated in detail. A chapter on finite differences is included. From the reviews of the first edition: "It is already one of the few best digests on this topic. The present book is an excellent compromise between theory and practice. Students will appreciate the lively and accurate style. " D. Serre, MathSciNet "I have read the book with great pleasure, and I can recommend it to experts as well as students. It can also be used for reliable and very exciting basis for a one-semester graduate course. " S. Noelle, Book review, German Math. Soc. "Making it an ideal first book for the theory of nonlinear partial differential equations. . . an excellent reference for a graduate course on nonlinear conservation laws. " M. Laforest, Comp. Phys. Comm.
Frontier Applications of Nature Inspired Computation (Springer Tracts in Nature-Inspired Computing)
by Neeraj Gupta Tomonobu Senjyu Mahdi Khosravy Nilesh PatelThis book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of microgrids, PID controllers for two-legged robots, optimizing crane operating times, planning electrical energy distribution systems, automatic design and evaluation of classification pipelines, and optimizing wind-energy power generation plants. The book also presents a variety of nature-inspired methods and illustrates methods of adapting these to said applications. Nature-inspired computation, developed by mimicking natural phenomena, makes a significant contribution toward the solution of non-convex optimization problems that normal mathematical optimizers fail to solve. As such, a wide range of nature-inspired computing approaches has been used in multidisciplinary engineering applications. Written by researchers and developers from a variety of fields, this book presents the latest findings, novel techniques and pioneering applications.
Frontiers in Algorithmics
by Jianxin Wang Chee YapThis book constitutes the proceedings of the 9th International Workshop on Frontiers in Algorithmics, FAW 2015, held in Guilin, China, in July 2015. The 28 papers presented in this volume were carefully reviewed and selected from 65 submissions. They deal with graph algorithms, approximation algorithms, combinatorial optimization, parameterized algorithms, and online algorithms.
Frontiers in Analysis and Probability: In the Spirit of the Strasbourg-Zürich Meetings
by Nalini Anantharaman Ashkan Nikeghbali Michael Th. RassiasThe volume presents extensive research devoted to a broad spectrum of mathematical analysis and probability theory. Subjects discussed in this Work are those treated in the so-called Strasbourg–Zürich Meetings. These meetings occur twice yearly in each of the cities, Strasbourg and Zürich, venues of vibrant mathematical communication and worldwide gatherings. The topical scope of the book includes the study of monochromatic random waves defined for general Riemannian manifolds, notions of entropy related to a compact manifold of negative curvature, interacting electrons in a random background, lp-cohomology (in degree one) of a graph and its connections with other topics, limit operators for circular ensembles, polyharmonic functions for finite graphs and Markov chains, the ETH-Approach to Quantum Mechanics, 2-dimensional quantum Yang–Mills theory, Gibbs measures of nonlinear Schrödinger equations, interfaces in spectral asymptotics and nodal sets. Contributions in this Work are composed by experts from the international community, who have presented the state-of-the-art research in the corresponding problems treated. This volume is expected to be a valuable resource to both graduate students and research mathematicians working in analysis, probability as well as their interconnections and applications.
Frontiers in Computational and Systems Biology
by Jianfeng Feng Wenjiang Fu Fengzhu SunThis unique volume surveys state-of-the-art research on statistical methods in molecular and systems biology, with contributions from leading experts in the field. Each chapter discusses theoretical aspects, applications to biological problems, and possible future developments. Topics and features: presents the use of thermodynamic models to analyze gene regulatory mechanisms; reviews major algorithms for RNA secondary structure prediction; discusses developments in the area of oligo arrays; examines the application of models of stochastic processes in nonequilibrium thermodynamics and biological signal transduction; describes phylogenetic footprinting methods for TFBS identification; introduces penalized regression-based methods for constructing genetic interaction or regulatory networks; investigates the specific role played by irreversible Markov processes in modeling cellular biochemical systems; explores the concept of gene modules in a transcriptional regulatory network.
Frontiers in Computational Fluid-Structure Interaction and Flow Simulation: Research From Lead Investigators Under Forty - 2018 (Modeling and Simulation in Science, Engineering and Technology)
by Tayfun E. TezduyarComputational fluid-structure interaction and flow simulation are challenging research areas that bring solution and analysis to many classes of problems in science, engineering, and technology. Young investigators under the age of 40 are conducting much of the frontier research in these areas, some of which is highlighted in this book. The first author of each chapter took the lead role in carrying out the research presented. The topics covered include Computational aerodynamic and FSI analysis of wind turbines,Simulating free-surface FSI and fatigue-damage in wind-turbine structural systems,Aorta flow analysis and heart valve flow and structure analysis,Interaction of multiphase fluids and solid structures,Computational analysis of tire aerodynamics with actual geometry and road contact, andA general-purpose NURBS mesh generation method for complex geometries.This book will be a valuable resource for early-career researchers and students — not only those interested in computational fluid-structure interaction and flow simulation, but also other fields of engineering and science, including fluid mechanics, solid mechanics and computational mathematics – as it will provide them with inspiration and guidance for conducting their own successful research. It will also be of interest to senior researchers looking to learn more about successful research led by those under 40 and possibly offer collaboration to these researchers.
Frontiers in Computational Fluid-Structure Interaction and Flow Simulation: Research from Lead Investigators Under Forty - 2023 (Modeling and Simulation in Science, Engineering and Technology)
by Tayfun E. TezduyarComputational fluid-structure interaction (FSI) and flow simulation are challenging research areas that bring solution and analysis to many classes of problems in science, engineering, and technology. Young investigators under the age of 40 are conducting much of the frontier research in these areas, some of which is highlighted in this volume. The first author of each chapter took the lead role in carrying out the research presented. Some of the topics explored includeDirect flow simulation of objects represented by point cloudsComputational investigation of leaflet flutter in thinner biological heart valve tissuesHigh-fidelity simulation of hydrokinetic energy applicationsHigh-resolution isogeometric analysis of car and tire aerodynamicsComputational analysis of air-blast-structure interactionHeart valve computational flow analysis with boundary layer and leaflet contact representationComputational thermal multi-phase flow for metal additive manufacturingThis volume will be a valuable resource for early-career researchers and students — not only those interested in computational FSI and flow simulation, but also other fields of engineering and science, including fluid mechanics, solid mechanics, and computational mathematics – as it will provide them with inspiration and guidance for conducting their own successful research. It will also be of interest to senior researchers looking to learn more about successful research led by those under 40 and possibly offer collaboration to these researchers.
Frontiers in Data Science (Chapman & Hall/CRC Big Data Series)
by Matthias Dehmer and Frank Emmert-StreibFrontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when it comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical aspects of data analysis alone.
Frontiers in Functional Equations and Analytic Inequalities
by George A. Anastassiou John Michael RassiasThis volume presents cutting edge research from the frontiers of functional equations and analytic inequalities active fields. It covers the subject of functional equations in a broad sense, including but not limited to the following topics: Hyperstability of a linear functional equation on restricted domainsHyers–Ulam’s stability results to a three point boundary value problem of nonlinear fractional order differential equationsTopological degree theory and Ulam’s stability analysis of a boundary value problem of fractional differential equationsGeneral Solution and Hyers-Ulam Stability of Duo Trigintic Functional Equation in Multi-Banach SpacesStabilities of Functional Equations via Fixed Point TechniqueMeasure zero stability problem for the Drygas functional equation with complex involutionFourier Transforms and Ulam Stabilities of Linear Differential EquationsHyers–Ulam stability of a discrete diamond–alpha derivative equationApproximate solutions of an interesting new mixed type additive-quadratic-quartic functional equation. The diverse selection of inequalities covered includes Opial, Hilbert-Pachpatte, Ostrowski, comparison of means, Poincare, Sobolev, Landau, Polya-Ostrowski, Hardy, Hermite-Hadamard, Levinson, and complex Korovkin type. The inequalities are also in the environments of Fractional Calculus and Conformable Fractional Calculus. Applications from this book's results can be found in many areas of pure and applied mathematics, especially in ordinary and partial differential equations and fractional differential equations. As such, this volume is suitable for researchers, graduate students and related seminars, and all science and engineering libraries. The exhibited thirty six chapters are self-contained and can be read independently and interesting advanced seminars can be given out of this book.
Frontiers in Games and Dynamic Games: Theory, Applications, and Numerical Methods (Annals of the International Society of Dynamic Games #16)
by David Yeung Shravan Luckraz Chee Kian LeongThis contributed volume presents the state-of-the-art of games and dynamic games, featuring several chapters based on plenary sessions at the ISDG-China Chapter Conference on Dynamic Games and Game Theoretic Analysis, which was held from August 3-5, 2017 at the Ningbo campus of the University of Nottingham, China. The chapters in this volume will provide readers with paths to further research, serving as a testimony to the vitality of the field. Experts cover a range of theory and applications related to games and dynamic games, with topics including:Dynamically stable cooperative provision of public goods under non-transferable utilityStrongly time-consistent solutions in cooperative dynamic gamesIncentive Stackelberg games for stochastic systemsStatic and inverse Stackelberg games in political economyCournot and Betrand competition on symmetric R&D networksNumerical Nash equilibria using curvilinear multistart algorithmMarkov chain approximation numerical scheme for infinite-horizon mean field gamesFrontiers in Games and Dynamic Games will appeal to an interdisciplinary audience of researchers, practitioners, and graduate students interested in games and dynamic games.
Frontiers in General Relativity (Lecture Notes in Physics #984)
by Peter A. Hogan Dirk PuetzfeldThis book discusses some of the open questions addressed by researchers in general relativity. Photons and particles play important roles in the theoretical framework, since they are involved in analyzing and measuring gravitational fields and in constructing mathematical models of gravitational fields of various types. The authors highlight this aspect covering topics such as the construction of models of Bateman electromagnetic waves and analogous gravitational waves, the studies of gravitational radiation in presence of a cosmological constant and the gravitational compass or clock compass for providing an operational way of measuring a gravitational field. The book is meant for advanced students and young researchers in general relativity, who look for an updated text which covers in depth the calculations and, equally, takes on new challenges. The reader, along the learning path, is stimulated by provocative examples interspersed in the text that help to find novel representations of the uses of particles and photons.
Frontiers in Genetics Algorithm Theory and Applications (Springer Tracts in Nature-Inspired Computing)
by Mahdi Khosravy Neeraj Gupta Olaf WitkowskiThis book reviews recent advances in theory and applications of genetic algorithm (GA). The book is composed of five parts; Part 1 of the book involves the chapters about the advances in GA theory. Part 2 concerns applications in health, society, and economy. Part 3 has an inclusive focus on application in power systems, and Part 4 concerns the applications of GA in electrical vehicle industries. Finally, Part 5 includes applications in signal and image processing.
Frontiers in Massive Data Analysis
by Committee on Applied and Theoretical Statistics National Research Council Division on Engineering and Physical Sciences Committee on the Analysis of Massive Data Board on Mathematical Sciences And Their ApplicationsData mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale--terabytes and petabytes--is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge--from computer science, statistics, machine learning, and application disciplines--that must be brought to bear to make useful inferences from massive data.
Frontiers in Nature-Inspired Industrial Optimization (Springer Tracts in Nature-Inspired Computing)
by Mahdi Khosravy Neeraj Gupta Nilesh PatelThe book provides a collection of recent applications of nature inspired optimization in industrial fields. Different optimization techniques have been deployed, and different problems have been effectively analyzed. The valuable contributions from researchers focus on three ultimate goals (i) improving the accuracy of these techniques, (ii) achieving higher speed and lower computational complexity, and (iii) working on their proposed applications. The book is helpful for active researchers and practitioners in the field.