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Advances in Longitudinal Data Methods in Applied Economic Research: 2020 International Conference on Applied Economics (ICOAE) (Springer Proceedings in Business and Economics)

by Nicholas Tsounis Aspasia Vlachvei

This volume presents new methods and applications in longitudinal data estimation methodology in applied economic. Featuring selected papers from the 2020 the International Conference on Applied Economics (ICOAE 2020) held virtually due to the corona virus pandemic, this book examines interdisciplinary topics such as financial economics, international economics, agricultural economics, marketing and management. Country specific case studies are also featured.

Advances in Longitudinal Survey Methodology (Wiley Series in Probability and Statistics)

by Peter Lynn

This book provides a comprehensive overview of the many advances that have been made in the field of longitudinal survey methodology over the past twelve years, as well as slightly extending the topic coverage of the earlier volume, “Methodology of Longitudinal Surveys.” As such, it describes the state of the art in designing, implementing, and analysing longitudinal surveys. The greatly expanded enthusiasm for longitudinal surveys has brought with it a thirst for knowledge about the best ways to design and implement such surveys. Considerable advances in knowledge have been made in recent years in areas that are covered in this book that encompasses all stages of the design and implementation of longitudinal surveys. Topics include: Dynamic sampling for the representation of dynamic populations; Methods for tracking mobile sample members over time; Methods for maintaining co-operation over time; Targeted design features for response maximisation; The use of longitudinal survey paradata for field management; Advances in dependent interviewing techniques; This book is an invaluable resource providing deeper insight into longitudinal surveys.

Advances in Machine Learning and Big Data Analytics I: ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30 (Springer Proceedings in Mathematics & Statistics #441)

by Preetisudha Meher Nishtha Kesswani Madhusudhan Mishra Ashokkumar Patel

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.

Advances in Management Research: Innovation and Technology (Mathematical Engineering, Manufacturing, and Management Sciences)

by Mangey Ram Avinash K. Shrivastava Sudhir Rana Amiya Kumar Mohapatra

This book covers advancements across business domains in knowledge and information management. It presents research trends in the fields of management, innovation, and technology, and is composed of research papers that show applications of IT, analytics, and business operations in industry and in educational institutions. It offers a combination of scientific research methods and concepts, with contributions from globally renowned authors; presents various management domains from a number of countries for a global perspective; and provides a unique combination of topics and methods while giving insights on the management domain using a holistic approach. The book provides scholars with a platform to derive maximum utility in the area of management, research, and technology by subscribing to the idea of managing business through performance and management technology.

Advances in Mathematical Analysis and its Applications

by H. M. Srivastava Bipan Hazarika Santanu Acharjee

Advances in Mathematical Analysis and its Applications is designed as a reference text and explores several important aspects of recent developments in the interdisciplinary applications of mathematical analysis (MA), and highlights how MA is now being employed in many areas of scientific research. It discusses theory and problems in real and complex analysis, functional analysis, approximation theory, operator theory, analytic inequalities, the Radon transform, nonlinear analysis, and various applications of interdisciplinary research; some topics are also devoted to specific applications such as the three-body problem, finite element analysis in fluid mechanics, algorithms for difference of monotone operators, a vibrational approach to a financial problem, and more. Features: The book encompasses several contemporary topics in the field of mathematical analysis, their applications, and relevancies in other areas of research and study. It offers an understanding of research problems by presenting the necessary developments in reasonable details The book also discusses applications and uses of operator theory, fixed-point theory, inequalities, bi-univalent functions, functional equations, and scalar-objective programming, and presents various associated problems and ways to solve such problems Contains applications on wavelets analysis and COVID-19 to show that mathematical analysis has interdisciplinary as well as real life applications. The book is aimed primarily at advanced undergraduates and postgraduate students studying mathematical analysis and mathematics in general. Researchers will also find this book useful.

Advances in Mathematical Economics Volume 15 (Advances in Mathematical Economics #20)

by Shigeo Kusuoka Toru Maruyama

A lot of economic problems can be formulated as constrained optimizations and equilibration of their solutions. Various mathematical theories have been supplying economists with indispensable machineries for these problems arising in economic theory. Conversely, mathematicians have been stimulated by various mathematical difficulties raised by economic theories. The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research.

Advances in Mathematical Economics: Volume 22 (Advances in Mathematical Economics #22)

by Shigeo Kusuoka Toru Maruyama

The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research. A lot of economic problems can be formulated as constrained optimizations and equilibration of their solutions. Various mathematical theories have been supplying economists with indispensable machineries for these problems arising in economic theory. Conversely, mathematicians have been stimulated by various mathematical difficulties raised by economic theories.

Advances in Mathematical Economics: Volume 23 (Advances in Mathematical Economics #23)

by Toru Maruyama

The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research. A lot of economic problems can be formulated as constrained optimizations and equilibration of their solutions. Various mathematical theories have been supplying economists with indispensable machineries for these problems arising in economic theory. Conversely, mathematicians have been stimulated by various mathematical difficulties raised by economic theories.

Advances in Mathematical Inequalities and Applications (Trends in Mathematics)

by Silvestru Sever Dragomir Mohamed Jleli Bessem Samet Praveen Agarwal

This book is a collection of original research and survey articles on mathematical inequalities and their numerous applications in diverse areas of mathematics and engineering. It includes chapters on convexity and related concepts; inequalities for mean values, sums, functions, operators, functionals, integrals and their applications in various branches of mathematics and related sciences; fractional integral inequalities; and weighted type integral inequalities. It also presents their wide applications in biomathematics, boundary value problems, mechanics, queuing models, scattering, and geomechanics in a concise, but easily understandable way that makes the further ramifications and future directions clear. The broad scope and high quality of the contributions make this book highly attractive for graduates, postgraduates and researchers. All the contributing authors are leading international academics, scientists, researchers and scholars.

Advances in Mathematical Modeling and Experimental Methods for Materials and Structures: The Jacob Aboudi Volume (Solid Mechanics and Its Applications #168)

by Leslie Banks-Sills Rivka Gilat

This work presents a collection of papers, written by leading authors in honor of Professor Jacob Aboudi. Jacob Aboudi served as Head of the Department of Solid Mechanics, Materials and Structures, as Dean of the Faculty of Engineering and as Incumbent of the Diane and Arthur Belfer Chair of Mechanics and Biomechanics. Aboudi has published more than 200 papers, 2 books and is a leading authority in the field of composite materials. The papers in this volume cover a wide spectrum of topics in the forefront of research in experimental methods and mathematical modeling of materials and structures. Subjects treated include developments in materials science, theoretical and applied mechanics, applied mathematics, applied physics, computational methods in engineering, mechanical and civil engineering. Both theoretical and experimental approaches are presented. As this book reflects the state of the art, possible engineering applications and future research directions are suggested.

Advances in Mathematical Modeling and Scientific Computing: International Conference on Recent Developments in Mathematics, Dubai, 2022 – Volume 2 (Trends in Mathematics)

by R. Sivaraj Firuz Kamalov Ho-Hon Leung

This volume collects the proceedings of the International Conference on Recent Developments in Mathematics (ICRDM), held at Canadian University Dubai, UAE, in August 2022. This is the second of two volumes, with this volume focusing on more applied topics, particularly mathematical modeling and scientific computing, and the first covering recent advances in algebra and analysis. Each chapter identifies existing research problems, the techniques needed to solve them, and a thorough analysis of the obtained results. Advances in Mathematical Modeling and Scientific Computing will appeal to a range of postgraduate students, researchers, and industry professionals interested in exploring recent advancements in applied mathematics.

Advances in Mathematical Modeling, Optimization and Optimal Control (Springer Optimization and Its Applications #109)

by Jean-Baptiste Hiriart-Urruty Adam Korytowski Helmut Maurer Maciej Szymkat

This book contains anin-depth presentation of the plenary talks given from the 16th French--German--Polish Conference onOptimization, held in Kraków, Poland in 2013. Each chapter in this book exhibitsa comprehensive look at new theoretical results and applications inmathematical modeling, optimization, and optimal control. Students andresearchers involved in image processing, partial differential inclusions,shape optimization, optimal control theory and its applications to medical andrehabilitation technology, will find this book valuable. The first chapter by Martin Burger provides an overview ofrecent developments related to Bregman distances, which are vital tool ininverse problems and image processing. The chapter by Piotr Kalita studies theoperator version of a first order in time partial differential inclusion andits time discretization. In the chapter by Günter Leugering, Jan SokoÅ,owski andAntoni Å»ochowski, nonsmooth shape optimization problems for variational inequalitiesare considered. The next chapter, by Katja Mombaur is devoted to applicationsof optimal control and inverse optimal control in the field of medical andrehabilitation technology, in particular in human movement analysis, therapyand improvement by means of medical devices. The final chapter, by NikolaiOsmolovskii and Helmut Maurer provides a survey on no-gap second orderoptimality conditions in the calculus of variations and optimal control, and adiscussion of their further development.

Advances in Mathematical Modelling, Applied Analysis and Computation: Proceedings of ICMMAAC 2023 – Volume 1 (Lecture Notes in Networks and Systems #952)

by Dumitru Baleanu George A. Anastassiou Devendra Kumar Jagdev Singh

This book gathers selected research articles presented in the “6th International Conference on Mathematical Modelling, Applied Analysis and Computation (ICMMAAC)”, held at JECRC University, Jaipur, during August 3–5, 2023. This book is focused on articles dealing with necessary theory and techniques in a balanced manner, and contributes towards solving mathematical problems arising in physics, engineering, chemistry, biological systems, medicine, networking system, control systems, environmental sciences, social issues of current interest and more. Annually held since 2018, the ICMMAAC conference aimed, in particular, to foster cooperation among practitioners and theoreticians in these fields. This proceedings is an invaluable resource for researchers, academicians and professionals associated or interested in current advances in different aspects of mathematical modelling, computational algorithms and analysis necessary for handling real-world problems.

Advances in Mathematical Modelling, Applied Analysis and Computation: Proceedings of ICMMAAC 2023 – Volume 2 (Lecture Notes in Networks and Systems #953)

by Dumitru Baleanu George A. Anastassiou Devendra Kumar Jagdev Singh

This book gathers selected research articles presented in the “6th International Conference on Mathematical Modelling, Applied Analysis and Computation (ICMMAAC)”, held at JECRC University, Jaipur, during August 3–5, 2023. This book is focused on articles dealing with necessary theory and techniques in a balanced manner, and contributes towards solving mathematical problems arising in physics, engineering, chemistry, biological systems, medicine, networking system, control systems, environmental sciences, social issues of current interest and more. Annually held since 2018, the ICMMAAC conference aimed, in particular, to foster cooperation among practitioners and theoreticians in these fields. This proceedings is an invaluable resource for researchers, academicians and professionals associated or interested in current advances in different aspects of mathematical modelling, computational algorithms and analysis necessary for handling real-world problems.

Advances in Mathematical Modelling, Applied Analysis and Computation: Proceedings of ICMMAAC 2024 – Volume 1 (Lecture Notes in Networks and Systems #1394)

by Dumitru Baleanu George A. Anastassiou Devendra Kumar Jagdev Singh

This book is a collection of research papers from the &“7th International Conference on Mathematical Modelling, Applied Analysis and Computation&” organized by Lebanese American University, Beirut, Lebanon from April 18–20, 2024. This proceeding contains research papers related with fundamental mathematical theory and methods in a very suitable manner and useful for handling various contemporary issues of physical, chemical and engineering sciences. The aim of this conference is to foster cooperation among mathematicians and scientists working in these areas. This book is a very useful resource for mathematicians, scientists and engineers working in the field of applied mathematics, analysis and computation for solving real life problems of different domains.

Advances in Mathematical Sciences: AWM Research Symposium, Houston, TX, April 2019 (Association for Women in Mathematics Series #21)

by Bahar Acu Donatella Danielli Marta Lewicka Arati Pati Saraswathy Rv Miranda Teboh-Ewungkem

This volume highlights the mathematical research presented at the 2019 Association for Women in Mathematics (AWM) Research Symposium held at Rice University, April 6-7, 2019. The symposium showcased research from women across the mathematical sciences working in academia, government, and industry, as well as featured women across the career spectrum: undergraduates, graduate students, postdocs, and professionals. The book is divided into eight parts, opening with a plenary talk and followed by a combination of research paper contributions and survey papers in the different areas of mathematics represented at the symposium: algebraic combinatorics and graph theory algebraic biologycommutative algebraanalysis, probability, and PDEstopologyapplied mathematicsmathematics education

Advances in Mathematics Education Research on Proof and Proving: An International Perspective (ICME-13 Monographs)

by Andreas J. Stylianides Guershon Harel

This book explores new trends and developments in mathematics education research related to proof and proving, the implications of these trends and developments for theory and practice, and directions for future research. With contributions from researchers working in twelve different countries, the book brings also an international perspective to the discussion and debate of the state of the art in this important area. The book is organized around the following four themes, which reflect the breadth of issues addressed in the book: * Theme 1: Epistemological issues related to proof and proving; * Theme 2: Classroom-based issues related to proof and proving; * Theme 3: Cognitive and curricular issues related to proof and proving; and * Theme 4: Issues related to the use of examples in proof and proving. Under each theme there are four main chapters and a concluding chapter offering a commentary on the theme overall.

Advances in Mathematics and Applications: Celebrating 50 years of the Institute of Mathematics, Statistics and Scientific Computing, University of Campinas

by Carlile Lavor Francisco A. Gomes

This book celebrates the 50th anniversary of the Institute of Mathematics, Statistics and Scientific Computing (IMECC) of the University of Campinas, Brazil, by offering reviews of selected research developed at one of the most prestigious mathematics institutes in Latin America. Written by senior professors at the IMECC, it covers topics in pure and applied mathematics and statistics ranging from differential geometry, dynamical systems, Lie groups, and partial differential equations to computational optimization, mathematical physics, stochastic process, time series, and more. A report on the challenges and opportunities of research in applied mathematics - a highly active field of research in the country - and highlights of the Institute since its foundation in 1968 completes this historical volume, which is unveiled in the same year that the International Mathematical Union (IMU) names Brazil as a member of the Group V of countries with the most relevant contributions in mathematics.

Advances in Mathematics: Theory, Methods & Applications (River Publishers Series in Mathematical, Statistical and Computational Modelling for Engineering)

by Mangey Ram Akshay Kumar

This book is an excellent collection of various topics of mathematics which include numerical methods, integral equations, and differential equations. The book is recommended to readers to refresh their understanding of applied mathematics with theory and applications. It will be useful to students, researchers, and practitioners working in applied and computational mathematics.

Advances in Matrix Inequalities (Springer Optimization and Its Applications #176)

by Reza Saadati Themistocles M. Rassias Mohammad Bagher Ghaemi Nahid Gharakhanlu

This self-contained monograph unifies theorems, applications and problem solving techniques of matrix inequalities. In addition to the frequent use of methods from Functional Analysis, Operator Theory, Global Analysis, Linear Algebra, Approximations Theory, Difference and Functional Equations and more, the reader will also appreciate techniques of classical analysis and algebraic arguments, as well as combinatorial methods. Subjects such as operator Young inequalities, operator inequalities for positive linear maps, operator inequalities involving operator monotone functions, norm inequalities, inequalities for sector matrices are investigated thoroughly throughout this book which provides an account of a broad collection of classic and recent developments. Detailed proofs for all the main theorems and relevant technical lemmas are presented, therefore interested graduate and advanced undergraduate students will find the book particularly accessible. In addition to several areas of theoretical mathematics, Matrix Analysis is applicable to a broad spectrum of disciplines including operations research, mathematical physics, statistics, economics, and engineering disciplines. It is hoped that graduate students as well as researchers in mathematics, engineering, physics, economics and other interdisciplinary areas will find the combination of current and classical results and operator inequalities presented within this monograph particularly useful.

Advances in Mechanics: Proceedings of the 3rd Polish Congress of Mechanics (PCM) and 21st International Conference on Computer Methods in Mechanics (CMM), Gdansk, Poland, 8-11 September 2015

by Tadeusz Burczyński Krzysztof Wilde Karol Winkelmann Michal Kleiber JJarosław Górski Łukasz Smakosz

Advances in Mechanics: Theoretical, Computational and Interdisciplinary Issues covers the domain of theoretical, experimental and computational mechanics as well as interdisciplinary issues, such as industrial applications. Special attention is paid to the theoretical background and practical applications of computational mechanics.This volume

Advances in Mechanics: Selected Contributions to the 15th International Moroccan Congress of Mechanics, May 24-27, 2022, CMM 2022, Casablanca, Morocco (Lecture Notes in Mechanical Engineering)

by Fakher Chaari Mohamed Haddar Said Aniss Miloud Rahmoune Somia Mordane Mohamed Elamine Ait Ali Rabha Khatyr

This book reports on innovative research in solid and fluid mechanics, and thermal engineering, giving a special emphasis on methods, modeling, and simulation tools for analyzing material behavior and energy systems. It gathers the best papers presented at 15th International Moroccan Congress of Mechanics "Congrès de Mécanique", CMM 2022, held on May 24-27, 2022, in Casablanca, Morocco, and organized by the Moroccan Society of Mechanics (SMSM) and the Faculty of Science Ain Chock of the University of Hassan II, Casablanca, Morocco. With a good balance of theory and practice, the book offers a timely snapshot of current advances in mechanics, and a source of inspiration for future research and international collaborations.

Advances in Meta-Analysis (Statistics for Social and Behavioral Sciences)

by Terri Pigott

The subject of the book is advanced statistical analyses for quantitative research synthesis (meta-analysis), and selected practical issues relating to research synthesis that are not covered in detail in the many existing introductory books on research synthesis (or meta-analysis). Complex statistical issues are arising more frequently as the primary research that is summarized in quantitative syntheses itself becomes more complex, and as researchers who are conducting meta-analyses become more ambitious in the questions they wish to address. Also as researchers have gained more experience in conducting research syntheses, several key issues have persisted and now appear fundamental to the enterprise of summarizing research. Specifically the book describes multivariate analyses for several indices commonly used in meta-analysis (e.g., correlations, effect sizes, proportions and/or odds ratios), will outline how to do power analysis for meta-analysis (again for each of the different kinds of study outcome indices), and examines issues around research quality and research design and their roles in synthesis. For each of the statistical topics we will examine the different possible statistical models (i.e., fixed, random, and mixed models) that could be adopted by a researcher. In dealing with the issues of study quality and research design it covers a number of specific topics that are of broad concern to research synthesists. In many fields a current issue is how to make sense of results when studies using several different designs appear in a research literature (e.g., Morris & Deshon, 1997, 2002). In education and other social sciences a critical aspect of this issue is how one might incorporate qualitative (e.g., case study) research within a synthesis. In medicine, related issues concern whether and how to summarize observational studies, and whether they should be combined with randomized controlled trials (or even if they should be combined at all). For each topic, included is a worked example (e.g., for the statistical analyses) and/or a detailed description of a published research synthesis that deals with the practical (non-statistical) issues covered.

Advances in Metaheuristic Algorithms for Optimal Design of Structures

by A. Kaveh

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which were developed by other authors and have been successfully applied to various optimization problems. These consist of Particle Swarm Optimization, Big Bang-Big Crunch Algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm, and Chaos Embedded Metaheuristic Algorithms. Finally a multi-objective optimization method is presented to solve large-scale structural problems based on the Charged System Search algorithm. The concepts and algorithms presented in this book are not only applicable to optimization of skeletal structures and finite element models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks.

Advances in Metaheuristic Algorithms for Optimal Design of Structures

by Ali Kaveh

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his graduate students, consisting of Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Democratic Particle Swarm Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which are developed by other authors and have been successfully applied to various optimization problems. These consist of Partical Swarm Optimization, Big Band Big Crunch algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm and Chaos Embedded Metaheuristic Algorithm. Finally a multi-objective Optimization is presented to Solve large scale structural problems based on the Charged System Search algorithm, In the second edition seven new chapters are added consisting of Enhance colliding bodies optimization, Global sensitivity analysis, Tug of War Optimization, Water evaporation optimization, Vibrating System Optimization and Cyclical Parthenogenesis Optimization algorithm. In the third edition, five new chapters are included consisting of the recently developed algorithms. These are Shuffled Shepherd Optimization Algorithm, Set Theoretical Shuffled Shepherd Optimization Algorithm, Set Theoretical Teaching-Learning-Based Optimization Algorithm, Thermal Exchange Metaheuristic Optimization Algorithm, and Water Strider Optimization Algorithm and Its Enhancement. The concepts and algorithm presented in this book are not only applicable to optimization of skeletal structure, finite element models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks.

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