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The Model Thinker: What You Need to Know to Make Data Work for You
by Scott E. PageHow anyone can become a data ninja From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models--from linear regression to random walks and far beyond--that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.
Modeling and Analysis of Dynamic Systems
by Ramin S. Esfandiari Bei LuModeling and Analysis of Dynamic Systems, Third Edition introduces MATLAB®, Simulink®, and Simscape™ and then utilizes them to perform symbolic, graphical, numerical, and simulation tasks. Written for senior level courses/modules, the textbook meticulously covers techniques for modeling a variety of engineering systems, methods of response analysis, and introductions to mechanical vibration, and to basic control systems. These features combine to provide students with a thorough knowledge of the mathematical modeling and analysis of dynamic systems. The Third Edition now includes Case Studies, expanded coverage of system identification, and updates to the computational tools included.
Modeling and Simulation of Everyday Things
by Michael W. RothHow can computer modeling and simulation tools be used to understand and analyze common situations and everyday problems? Readers will find here an easy-to-follow, enjoyable introduction for anyone even with little background training. Examples are incorporated throughout to stimulate interest and engage the reader. Build the necessary skillsets with operating systems, editing, languages, commands, and visualization. Obtain hands-on examples from sports, accidents, and disease to problems of heat transfer, fluid flow, waves, and groundwater flow. Includes discussion of parallel computing and graphics processing units. This introductory, practical guide is suitable for students at any level up to professionals looking to use modeling and simulation to help solve basic to more advanced problems. Michael W. Roth, PhD, serves as Dean of the School of STEM and Business at Hawkeye Community College in Waterloo, Iowa. He was most recently Chair for three years at Northern Kentucky University's Department of Physics, Geology and Engineering Technology, and holds several awards for teaching excellence.
Modeling and Simulation with Compose and Activate
by Ramine Nikoukhah Stephen L. CampbellThis book provides a tutorial in the use of Compose and Activate, software packages that provide system modeling and simulation facilities. Advanced system modeling software provide multiple ways of creating models: models can be programmed in specialized languages, graphically constructed as block-diagrams and state machines, or expressed mathematically in equation-based languages. Compose and Activate are introduced in this text in two parts. The first part introduces the multi-language environment of Compose and its use for modeling, simulation and optimization. The second describes the graphical system modeling and optimization with Activate, an open-system environment providing signal-based modeling as well as physical system component-based modeling. Throughout both parts are applied examples from mechanical, biological, and electrical systems, as well as control and signal processing systems. This book will be an invaluable addition with many examples both for those just interested in OML and those doing industrial scale modeling, simulation, and design. All examples are worked using the free basic editions of Activate and Compose that are available.
Modeling Decisions for Artificial Intelligence: 15th International Conference, MDAI 2018, Mallorca, Spain, October 15–18, 2018, Proceedings (Lecture Notes in Computer Science #11144)
by Vicenç Torra Yasuo Narukawa Isabel Aguiló Manuel González-HidalgoThis book constitutes the proceedings of the 15th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2018, held in Mallorca, Spain, in October 2018.The 24 papers presented in this volume were carefully reviewed and selected from 43 submissions. The book also contains one invited talk in full paper length. The papers were organized in topical sections named: aggregation operators, fuzzy measures and integrals; decision making; clustering and classification; and data privacy and security.
Modeling, Dynamics, Optimization and Bioeconomics III: Contributions From Dgs Iii And The 7th Bioeconomy Conference 2014 (Springer Proceedings in Mathematics & Statistics #195)
by Alberto A. Pinto David ZilbermanThe research and review papers presented in this volume provide an overview of the main issues, findings, and open questions in cutting-edge research on the fields of modeling, optimization and dynamics and their applications to biology, economics, energy, finance, industry, physics and psychology. Given the scientific relevance of the innovative applications and emerging issues they address, the contributions to this volume, written by some of the world’s leading experts in mathematics, economics and other applied sciences, will be seminal to future research developments and will spark future works and collaborations. The majority of the papers presented in this volume were written by participants of the 4th International Conference on Dynamics, Games and Science: Decision Models in a Complex Economy (DGS IV), held at the National Distance Education University (UNED) in Madrid, Spain in June 2016 and of the 8th Berkeley Bioeconomy Conference: The Future of Biofuels, held at the UC Berkeley Alumni House in April 2015.
Modeling Methods for Medical Systems Biology: Regulatory Dynamics Underlying the Emergence of Disease Processes (Advances in Experimental Medicine and Biology #1069)
by María Elena Álvarez-Buylla Roces Juan Carlos Martínez-García José Dávila-Velderrain Elisa Domínguez-Hüttinger Mariana Esther Martínez-SánchezThis book contributes to better understand how lifestyle modulations can effectively halt the emergence and progression of human diseases. The book will allow the reader to gain a better understanding of the mechanisms by which the environment interferes with the bio-molecular regulatory processes underlying the emergence and progression of complex diseases, such as cancer. Focusing on key and early cellular bio-molecular events giving rise to the emergence of degenerative chronic disease, it builds on previous experience on the development of multi-cellular organisms, to propose a mathematical and computer based framework that allows the reader to analyze the complex interplay between bio-molecular processes and the (micro)-environment from an integrative, mechanistic, quantitative and dynamical perspective. Taking the wealth of empirical evidence that exists it will show how to build and analyze models of core regulatory networks involved in the emergence and progression of chronic degenerative diseases, using a bottom-up approach.
Modelling Aging and Migration Effects on Spatial Labor Markets (Advances in Spatial Science)
by Uwe Blien Peter Nijkamp Karima Kourtit Roger R. StoughThe aging and migration megatrends and their impact on spatial – regional and local – labor market performance is the core theme of this book, and thus together define its scope and focus. The contributions provide an overview of key aging and migration issues in various countries together with analyses of their varied impacts on regional labor markets. Systematic database research and related empirical analyses are used to map out the complex and dynamic nature of these trends, while cutting-edge economic and modeling techniques are used to analyze them. In closing, the book critically reviews and assesses selected policy measures designed to cope with the effects of aging and migration on regional labor markets.
Models, Mathematics, and Methodology in Economic Explanation
by Donald W. KatznerThis book provides a practitioner's foundation for the process of explanatory model building, breaking down that process into five stages. Donald W. Katzner presents a concrete example with unquantified variable values to show how the five-stage procedure works. He describes what is involved in explanatory model building for those interested in this practice, while simultaneously providing a guide for those actually engaged in it. The combination of Katzner's focus on modeling and on mathematics, along with his focus on the explanatory performance of modeling, promises to become an important contribution to the field.
Models of Computation for Big Data (Advanced Information and Knowledge Processing)
by Rajendra AkerkarThe big data tsunami changes the perspective of industrial and academic research in how they address both foundational questions and practical applications. This calls for a paradigm shift in algorithms and the underlying mathematical techniques. There is a need to understand foundational strengths and address the state of the art challenges in big data that could lead to practical impact. The main goal of this book is to introduce algorithmic techniques for dealing with big data sets. Traditional algorithms work successfully when the input data fits well within memory. In many recent application situations, however, the size of the input data is too large to fit within memory. Models of Computation for Big Data, covers mathematical models for developing such algorithms, which has its roots in the study of big data that occur often in various applications. Most techniques discussed come from research in the last decade. The book will be structured as a sequence of algorithmic ideas, theoretical underpinning, and practical use of that algorithmic idea. Intended for both graduate students and advanced undergraduate students, there are no formal prerequisites, but the reader should be familiar with the fundamentals of algorithm design and analysis, discrete mathematics, probability and have general mathematical maturity.
Modern Analysis of Automorphic Forms By Example: Volume 1 (Cambridge Studies in Advanced Mathematics #173)
by Paul GarrettThis is Volume 1 of a two-volume book that provides a self-contained introduction to the theory and application of automorphic forms, using examples to illustrate several critical analytical concepts surrounding and supporting the theory of automorphic forms. The two-volume book treats three instances, starting with some small unimodular examples, followed by adelic GL2, and finally GLn. Volume 1 features critical results, which are proven carefully and in detail, including discrete decomposition of cuspforms, meromorphic continuation of Eisenstein series, spectral decomposition of pseudo-Eisenstein series, and automorphic Plancherel theorem. Volume 2 features automorphic Green's functions, metrics and topologies on natural function spaces, unbounded operators, vector-valued integrals, vector-valued holomorphic functions, and asymptotics. With numerous proofs and extensive examples, this classroom-tested introductory text is meant for a second-year or advanced graduate course in automorphic forms, and also as a resource for researchers working in automorphic forms, analytic number theory, and related fields.
Modern Analysis of Automorphic Forms By Example: Volume 2 (Cambridge Studies in Advanced Mathematics #174)
by Paul GarrettThis is Volume 2 of a two-volume book that provides a self-contained introduction to the theory and application of automorphic forms, using examples to illustrate several critical analytical concepts surrounding and supporting the theory of automorphic forms. The two-volume book treats three instances, starting with some small unimodular examples, followed by adelic GL2, and finally GLn. Volume 2 features critical results, which are proven carefully and in detail, including automorphic Green's functions, metrics and topologies on natural function spaces, unbounded operators, vector-valued integrals, vector-valued holomorphic functions, and asymptotics. Volume 1 features discrete decomposition of cuspforms, meromorphic continuation of Eisenstein series, spectral decomposition of pseudo-Eisenstein series, and automorphic Plancherel theorem. With numerous proofs and extensive examples, this classroom-tested introductory text is meant for a second-year or advanced graduate course in automorphic forms, and also as a resource for researchers working in automorphic forms, analytic number theory, and related fields.
Modern and Interdisciplinary Problems in Network Science: A Translational Research Perspective
by Zengqiang Chen, Matthias Dehmer, Frank Emmert-Streib and Yongtang ShiModern and Interdisciplinary Problems in Network Science: A Translational Research Perspective covers a broad range of concepts and methods, with a strong emphasis on interdisciplinarity. The topics range from analyzing mathematical properties of network-based methods to applying them to application areas. By covering this broad range of topics, the book aims to fill a gap in the contemporary literature in disciplines such as physics, applied mathematics and information sciences.
Modern Directional Statistics: Modern Methods And Case Studies (Chapman & Hall/CRC Interdisciplinary Statistics)
by Christophe Ley Thomas VerdeboutModern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides a detailed overview and analysis of recent results that can help both researchers and practitioners. Knowledge of multivariate statistics eases the reading but is not mandatory. <P><P> The field of directional statistics has received a lot of attention over the past two decades, due to new demands from domains such as life sciences or machine learning, to the availability of massive data sets requiring adapted statistical techniques, and to technological advances. This book covers important progresses in distribution theory,high-dimensional statistics, kernel density estimation, efficient inference on directional supports, and computational and graphical methods. <P><P>Christophe Ley is professor of mathematical statistics at Ghent University. His research interests include semi-parametrically efficient inference, flexible modeling, directional statistics and the study of asymptotic approximations via Stein’s Method. His achievements include the Marie-Jeanne Laurent-Duhamel prize of the Société Française de Statistique and an elected membership at the International Statistical Institute. He is associate editor for the journals Computational Statistics & Data Analysis and Econometrics and Statistics. <P><P> Thomas Verdebout is professor of mathematical statistics at Université libre de Bruxelles (ULB). His main research interests are semi-parametric statistics, high- dimensional statistics, directional statistics and rank-based procedures. He has won an annual prize of the Belgian Academy of Sciences and is an elected member of the International Statistical Institute. He is associate editor for the journals Statistics and Probability Letters and Journal of Multivariate Analysis.
Modern Discrete Mathematics and Analysis: With Applications in Cryptography, Information Systems and Modeling (Springer Optimization and Its Applications #131)
by Nicholas J. Daras Themistocles M. RassiasA variety of modern research in analysis and discrete mathematics is provided in this book along with applications in cryptographic methods and information security, in order to explore new techniques, methods, and problems for further investigation. Distinguished researchers and scientists in analysis and discrete mathematics present their research. Graduate students, scientists and engineers, interested in a broad spectrum of current theories, methods, and applications in interdisciplinary fields will find this book invaluable.
Modern Engineering Mathematics
by Abul Hasan Siddiqi Mohamed Al-Lawati Messaoud BoulbracheneThis book is a compendium of fundamental mathematical concepts, methods, models, and their wide range of applications in diverse fields of engineering. It comprises essentially a comprehensive and contemporary coverage of those areas of mathematics which provide foundation to electronic, electrical, communication, petroleum, chemical, civil, mechanical, biomedical, software, and financial engineering. It gives a fairly extensive treatment of some of the recent developments in mathematics which have found very significant applications to engineering problems.
Modern Mathematics Education for Engineering Curricula in Europe: A Comparative Analysis of EU, Russia, Georgia and Armenia
by Seppo Pohjolainen Tuomas Myllykoski Christian Mercat Sergey SosnovskyThis open access book provides a comprehensive overview of the core subjects comprising mathematical curricula for engineering studies in five European countries and identifies differences between two strong traditions of teaching mathematics to engineers. The collective work of experts from a dozen universities critically examines various aspects of higher mathematical education.The two EU Tempus-IV projects – MetaMath and MathGeAr – investigate the current methodologies of mathematics education for technical and engineering disciplines. The projects aim to improve the existing mathematics curricula in Russian, Georgian and Armenian universities by introducing modern technology-enhanced learning (TEL) methods and tools, as well as by shifting the focus of engineering mathematics education from a purely theoretical tradition to a more applied paradigm.MetaMath and MathGeAr have brought together mathematics educators, TEL specialists and experts in education quality assurance form 21 organizations across six countries. The results of a comprehensive comparative analysis of the entire spectrum of mathematics courses in the EU, Russia, Georgia and Armenia has been conducted, have allowed the consortium to pinpoint and introduce several modifications to their curricula while preserving the generally strong state of university mathematics education in these countriesThe book presents the methodology, procedure and results of this analysis.This book is a valuable resource for teachers, especially those teaching mathematics, and curriculum planners for engineers, as well as for a general audience interested in scientific and technical higher education.
Modern Problems in Applied Analysis (Trends in Mathematics)
by Piotr Drygaś Sergei RogosinThis book features a collection of recent findings in Applied Real and Complex Analysis that were presented at the 3rd International Conference “Boundary Value Problems, Functional Equations and Applications” (BAF-3), held in Rzeszow, Poland on 20-23 April 2016. The contributions presented here develop a technique related to the scope of the workshop and touching on the fields of differential and functional equations, complex and real analysis, with a special emphasis on topics related to boundary value problems. Further, the papers discuss various applications of the technique, mainly in solid mechanics (crack propagation, conductivity of composite materials), biomechanics (viscoelastic behavior of the periodontal ligament, modeling of swarms) and fluid dynamics (Stokes and Brinkman type flows, Hele-Shaw type flows). The book is addressed to all readers who are interested in the development and application of innovative research results that can help solve theoretical and real-world problems.
Moderne Finanzmathematik – Theorie und praktische Anwendung Band 2: Erweiterungen Des Black-scholes-modells, Zins, Kreditrisiko Und Statistik (Studienbücher Wirtschaftsmathematik Ser.)
by Sascha Desmettre Ralf KornDas vorliegende Buch und der zugehörige erste Band über Optionsbewertung und Portfolio-Optimierung geben eine gründliche Einführung in die Methoden und Prinzipien der modernen Finanzmathematik. Dieser zweite Band behandelt insbesondere Zinsmodellierung, Verallgemeinerungen des Black-Scholes-Modells zur realistischeren Modellierung von Aktienpreisen sowie Parameterschätzung und -kalibrierung. Um das Lesen und Verstehen aller Kapitel zu vereinfachen, werden jeweils einführende Abschnitte mit Motivation und Überblick voran gestellt, in denen der im Kapitel folgende Stoff ökonomisch motiviert, seine Entstehungs- und Entwicklungsgeschichte beschrieben oder auch Aspekte der Praxis gegeben werden. Technisch anspruchsvolle theoretische Konzepte werden wieder in Exkursen dort präsentiert, wo sie zum ersten Mal benötigt werden. Das Werk richtet sich an Studierende der Mathematik und der Finanzwirtschaft sowie an Praktiker in Banken und Versicherungen.
Monomial Ideals and Their Decompositions (Universitext)
by W. Frank Moore Mark Rogers Sean Sather-WagstaffThis textbook on combinatorial commutative algebra focuses on properties of monomial ideals in polynomial rings and their connections with other areas of mathematics such as combinatorics, electrical engineering, topology, geometry, and homological algebra. Aimed toward advanced undergraduate students and graduate students who have taken a basic course in abstract algebra that includes polynomial rings and ideals, this book serves as a core text for a course in combinatorial commutative algebra or as preparation for more advanced courses in the area. The text contains over 600 exercises to provide readers with a hands-on experience working with the material; the exercises include computations of specific examples and proofs of general results. Readers will receive a firsthand introduction to the computer algebra system Macaulay2 with tutorials and exercises for most sections of the text, preparing them for significant computational work in the area. Connections to non-monomial areas of abstract algebra, electrical engineering, combinatorics and other areas of mathematics are provided which give the reader a sense of how these ideas reach into other areas.
Monster Academy
by Jane Yolen Heidi E. StempleWhere do monsters go to school? Monster Academy! And anything can happen when your teacher is Miss Mummy. It's not like any other school, but if you're a little monster, you'll fit right in!Come along with Principal Frank N. Stein into a bright, energetic classroom where the class pet is a big purple boa constrictor, recess is in a swamp, and class bats help build a Creepy Castle in the Monster Maker's Lab. When Tornado Jo, a new student, roars into class, a storm is brewing. Who could ever guess that her new best friend will be a vampire, and she'll help him find his missing fang? Award-winning writer Jane Yolen teams up with her daughter, Heidi, to present colorful monster children who have familiar human issues such as making friends and learning to help others. In a final twist, Tornado Jo -- the worst behaved student -- is revealed to be an out-of-control human, not a monster after all. Oh, no! Monsters are more afraid of humans than we are of them! Everybody runs! Laugh-aloud humor is enhanced by John McKinley's highly imaginative illustrations loaded with fun and hidden jokes tucked into the art. An irresistible romp from start to finish!
Monte Carlo and Quasi-Monte Carlo Methods: Mcqmc 2016, Stanford, Ca, August 14-19 (Springer Proceedings in Mathematics & Statistics #241)
by Art B. Owen Peter W. GlynnThis book presents the refereed proceedings of the Twelfth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at Stanford University (California) in August 2016. These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers. The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. Offering information on the latest developments in these very active areas, this book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising in particular, in finance, statistics, computer graphics and the solution of PDEs.
The Moral Imagination of Patricia Werhane: A Festschrift (Issues in Business Ethics #47)
by R. Edward Freeman Andrew C. Wicks Sergiy DmytriyevThis book celebrates the work of Patricia Werhane, an iconic figure in business ethics. This festschrift is a collection of articles that build on Werhane’s contributions to business ethics in such areas as Employee Rights, the Legacy of Adam Smith, Moral Imagination, Women in Business, the development of the field of business ethics, and her contributions to such fields as Health Care, Education, Teaching, and Philosophy.All papers are new contributions to the management literature written by well-known business ethicists, such as Norman Bowie, Richard De George, Ronald Duska, Edwin Hartman, Michael Hoffman, Mollie Painter-Morland, Mark Schwartz, Andrew Wicks, and others. The volume is comprised of articles that reflect on Werhane’s work as well as build on it as a way to advance further research. At the end of the festschrift, Pat Werhane provides responses to each chapter. The first chapter of the book also includes the overview of Patricia Werhane’s work and her academic career.The book is written to appeal to management scholars and graduate students interested in the areas of Business Ethics, Modern Capitalism, and Human Rights. Patricia Werhane is one of the most distinguished figures in the field of business ethics. She was a founder of the field, she is one of its leading scholars, and she has had a profound impact on the world of business practice. Among her many accomplishments, Pat is known for her original work on moral imagination, she is an acclaimed authority on employee rights in the workplace, and she is one of the leading scholars on Adam Smith. Having been active in Academia for over 50 years, Werhane is a prolific author of over a hundred articles and book chapters, and the author or editor of twenty-seven books, including Adam Smith and his Legacy for Modern Capitalism, Moral Imagination and Management Decision-Making, and co-authored books Organization Ethics in Health Care, Alleviating Poverty Through Profitable Partnerships, Obstacles to Ethical Decision-Making, Corporate Responsibility: The American Experience, and Research Approaches to Business Ethics and Corporate Responsibility.
More Tinkering: How Kids in the Tropics Learn by Making Stuff
by Curt GabrielsonTinkering is a way of learning through hands-on activity -- experimenting with materials and devices to see how they work, taking things apart, making small changes and improvements, exploring and inventing. Tinkering may seem like a form of play -- and it is -- but it is also a powerful way of discovering truths about science, engineering, and math. With this book, Curt Gabrielson follows up on his best-seller Tinkering: Kids Learn by Making Stuff with this all-new volume that features more than three dozen fun and educational tinkering projects based on his years of working with kids in the tropical island nation of Timor-Leste. Step-by-step instructions accompanied by full-color photos take you through a range of enjoyable projects that explore life sciences, physics, chemistry, earth sciences, and mathematics. You'll discover how math is used to make baskets, how fungi create fermentation, how electricity can make a magnet, how the greenhouse effect creates warming, and much more. The author also enlivens his latest batch of tinkering projects with colorful tales of his experiences in the tropic and the lives of the people he' s met there.Inside you'll find:Clear directions for making simple projects and doing activities that teach science, mathematics and engineeringProjects rooted in day to day life and experience in a small, developing nation in the Asian tropicsFull-color photographs throughoutExplicit connections to standard STEAM concepts, K-12Activities doable with less than $5 worth of common materialsThis book is perfect for parents, teachers, and students with an interest in hands-on, tinkering-based science and mathematics education, whether in traditional schools or in home-schooling situations. It will also be of interest to anyone who wants to learn more about developing nations, the culture and unique history of Timor-Leste, tropical nations or Asian cultures, with specific links to Indonesia, Portugal, or Australia.
Morphisms for Quantitative Spatial Analysis (Advanced Studies In Theoretical And Applied Econometrics Ser. #51)
by Daniel A. Griffith Jean H. PaelinckThis book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and allomorphisms), which is defined as a structure preserving the functional linkage between mathematical properties or operations in spatial statistics and spatial econometrics, among other disciplines. The purpose of this book is to present selected conceptions in both domains that are structurally the same, even though their labelling and the notation for their elements may differ. As the approaches presented here are applied to empirical materials in geography and economics, the book will also be of interest to scholars of regional science, quantitative geography and the geospatial sciences. It is a follow-up to the book “Non-standard Spatial Statistics and Spatial Econometrics” by the same authors, which was published by Springer in 2011.