The Water-cure Journal, and Herald of Reforms, Devoted to Physiology, Hydropathy and the Laws of Life; 19, (1855)
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Report of the General Committee of the Mechanics' Institute of Montreal, to the Members, at the Annual General Meeting, 6th November, 1854 [microform]
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Essential Topics in Statistics
Statistics is the science of compilation of numerical data that may represent a social or physical fact. This book on statistics deals with the basic methodology that is followed to derive inferences. Statistics uses the help of aggregation, averages and mean to calculate values of study. Contents included in this book discuss the various techniques through which results on the basis of data, data sets and models can be arrived at. There has been rapid progress in this field and its applications are finding their way across multiple industries. Tools such as sampling, surveys and experiments are a vital part of this field. This book on statistics will be of great help to students and researchers in the fields of economics, number theory and computational statistics.
Artificial Mathematical Intelligence
This volume discusses the theoretical foundations of a new inter- and intra-disciplinary meta-research discipline, which can be succinctly called cognitive metamathematics, with the ultimate goal of achieving a global instance of concrete Artificial Mathematical Intelligence (AMI). In other words, AMI looks for the construction of an (ideal) global artificial agent being able to (co-)solve interactively formal problems with a conceptual mathematical description in a human-style way. It first gives formal guidelines from the philosophical, logical, meta-mathematical, cognitive, and computational points of view supporting the formal existence of such a global AMI framework, examining how much of current mathematics can be completely generated by an interactive computer program and how close we are to constructing a machine that would be able to simulate the way a modern working mathematician handles solvable mathematical conjectures from a conceptual point of view. The thesis that it is possible to meta-model the intellectual job of a working mathematician is heuristically supported by the computational theory of mind, which posits that the mind is in fact a computational system, and by the meta-fact that genuine mathematical proofs are, in principle, algorithmically verifiable, at least theoretically. The introduction to this volume provides then the grounding multifaceted principles of cognitive metamathematics, and, at the same time gives an overview of some of the most outstanding results in this direction, keeping in mind that the main focus is human-style proofs, and not simply formal verification. The first part of the book presents the new cognitive foundations of mathematics' program dealing with the construction of formal refinements of seminal (meta-)mathematical notions and facts. The second develops positions and formalizations of a global taxonomy of classic and new cognitive abilities, and computational tools allowing for calculation of formal conceptual blends are described. In particular, a new cognitive characterization of the Church-Turing Thesis is presented. In the last part, classic and new results concerning the co-generation of a vast amount of old and new mathematical concepts and the key parts of several standard proofs in Hilbert-style deductive systems are shown as well, filling explicitly a well-known gap in the mechanization of mathematics concerning artificial conceptual generation.
Summary of General Statistics. January 1963
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Applications of Functional Analysis in Mathematical Physics
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Our Village and Mechanics' Institute [microform]
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Crowd Dynamics, Volume 2
This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics. Chapter authors approach the topic from the perspectives of mathematics, physics, engineering, and psychology, providing a comprehensive overview of the work carried out in this challenging interdisciplinary research field. After providing a critical analysis of the current state of the field and an overview of the current research perspectives, chapters focus on three main research areas: pedestrian interactions, crowd control, and multiscale modeling. Specific topics covered in this volume include: crowd dynamics through conservation lawsrecent developments in controlled crowd dynamicsmixed traffic modelinginsights and applications from crowd psychology Crowd Dynamics, Volume 2 is ideal for mathematicians, engineers, physicists, and other researchers working in therapidly growing field of modeling and simulation of human crowds.
Summary of General Statistics. August 1957
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Mathematics: Concepts, Theories and Applied Principles
This book on mathematics deals with the concepts and theories that are derived with a view to group and compute numbers. Mathematics is an essential requirement for almost all sciences that require abstraction for its functioning. Topics included in this book seek to advance the level of research that has been seen in this field in the past decade. This book, with its detailed analyses and data, will prove immensely beneficial to professionals and students involved in this area at various levels. Case studies as well as conceptual theorems allow the readers to get a holistic understanding of the areas of study that fall under mathematics. This text is appropriate for students seeking detailed information in this area as well as for experts.
Michele Sce's Works in Hypercomplex Analysis
This book presents English translations of Michele Sce's most important works, originally written in Italian during the period 1955-1973, on hypercomplex analysis and algebras of hypercomplex numbers. Despite their importance, these works are not very well known in the mathematics community because of the language they were published in. Possibly the most remarkable instance is the so-called Fueter-Sce mapping theorem, which is a cornerstone of modern hypercomplex analysis, and is not yet understood in its full generality.This volume is dedicated to revealing and describing the framework Sce worked in, at an exciting time when the various generalizations of complex analysis in one variable were still in their infancy. In addition to faithfully translating Sce's papers, the authors discuss their significance and explain their connections to contemporary research in hypercomplex analysis. They also discuss many concrete examples that can serve as a basis for further research. The vast majority of the results presented here will be new to readers, allowing them to finally access the original sources with the benefit of comments from fellow mathematicians active in the field of hypercomplex analysis. As such, the book offers not only an important chapter in the history of hypercomplex analysis, but also a roadmap for further exciting research in the field.
A Method for Determining Coefficients of Adjoint and Self-adjoint Linear Homogeneous Differential Equations.
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Periodic Regression in Biology and Climatology
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Census of the British Empire. 1901. Report With Summary and Detailed Tables for the Several Colonies, &c., Area, Houses, and Population; Also Population Classified by Ages, Condition as to Marriage, O
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Theory of Functions of a Real Variable (Teoria Functsiy Veshchestvennoy Peremennoy, Chapters I to IX)
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Industrial Statistics; Statistical Technique Applied to Problems in Industrial Research and Quality Control
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The South Carolina Historical and Genealogical Magazine; 5
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface.We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Summary of General Statistics. December 1954
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An Elementary Treatise on Mechanics [microform]
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Tables of Associated Sine and Cosine Integral Functions and of Related Complex-valued Functions Sine and Cosine Integral Functions.
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Convex Integration Applied to the Multi-Dimensional Compressible Euler Equations
- Part I The Problem Studied in This Book. - 1. Introduction. - 2. Hyperbolic Conservation Laws. - 3. The Euler Equations as a Hyperbolic System of Conservation Laws. - Part II Convex Integration. - 4. Preparation for Applying Convex Integration to Compressible Euler. - 5. Implementation of Convex Integration. - Part III Application to Particular Initial (Boundary) Value Problems. - 6. Infinitely Many Solutions of the Initial Boundary Value Problem for Barotropic Euler. - 7. Riemann Initial Data in Two Space Dimensions for Isentropic Euler. - 8. Riemann Initial Data in Two Space Dimensions for Full Euler.
Mathematical Analysis
Mathematical analysis is one of the most efficient methods of measuring continuous change. A primary application of such analysis models is in economic data. This book unfolds the innovative aspects of mathematical analysis which will be crucial for the progress of this field in the future. Discussed in it are significant concepts of mathematical analysis, such as differentiation, integration, limits, infinite series, etc. along with their econometric applications. The extensive content of this text provides the readers with a thorough understanding of the subject. Students, researchers, experts and all associated with the discipline of mathematics, statistics and economics will benefit alike from this book.
Mathematical Modeling: Analysis and Methodologies
Mathematical models use mathematical tools to describe the performance and behavior of a system. They can be of different forms like statistical models, game theoretic models, dynamical systems, etc. Mathematical modeling has significant applications in the diverse areas of science and engineering such as physics, artificial intelligence, economics, operations, research, etc. Through this book, we attempt to further enlighten the readers about the new concepts in this field. For someone with an interest and eye for detail, this book covers the most significant topics in the field of mathematical modeling. It will provide comprehensive knowledge to the readers.
Computational Mathematics: Concepts and Applied Principles
Computational mathematics is the science that integrates computing and mathematics, for research. This is particularly significant in the areas of science that can be aided by computation. It involves the use of numerical methods, algorithms and symbolic computations. Computational mathematics is used in solving mathematical and scientific problems and to aid research in logic, number theory, cryptography, discrete mathematics and computational algebraic topology. Besides these, it is crucial in finance, economics and accounting. Some of the focus areas of computational mathematics are numerical linear algebra, Monte Carlo methods, stochastic finite elements, numerical analysis, etc. There has been rapid progress in computational mathematics and its applications are finding their way across multiple fields. This book elucidates new techniques and their applications in a multidisciplinary manner. Coherent flow of topics, student-friendly language and extensive use of examples make this book an invaluable source of knowledge.
Current Developments in Numerical Analysis
This book attempts to understand the intricacies of numerical analysis that fall under its various branches and how it can be used to our advantage. The various projects that are constantly contributing towards the advancements and evolution of numerical analysis and the prospects of this field are looked at in detail here. The book aims to bring forth some revolutionizing concepts and some innovative approaches in this field.
Numerical Analysis: An Introduction
The study of algorithms, which use numerical approximation for the solution of problems of mathematical analysis, is termed as numerical analysis. It has applications in the diverse areas of physical sciences and engineering. Direct and iterative methods and discretization are generally employed in numerical analysis. An important area of this field is the study of errors. Errors are introduced in the solutions obtained through numerical analysis due to round-off, truncation and discretization methods. The major sub-disciplines within this field are interpolation, extrapolation and regression, mathematical optimization, numerical integration, numerical differential equation, etc. This textbook provides comprehensive insights into numerical analysis. Most of the topics introduced in this book cover the principles and methodologies used in numerical analysis. This textbook, with its detailed analyses and data, will prove immensely beneficial to professionals and students involved in this area at various levels.
Applied Mathematics
Applied mathematics seeks mathematical solutions to problems that are encountered in the real world. This field has progressed rapidly over the past two decades and its applications are finding their way across multiple areas such as computer science, business, engineering, etc. The various advancements in applied mathematics are glanced at and their applications as well as ramifications are looked at in detail. Topics included in this book encompass the multi-disciplinary aspect of this field and its various applications in numerical and computational modeling. This book will help new researchers by foregrounding their knowledge in this branch. It will prove useful for students and teachers in the fields of game theory, mathematical physics and industrial mathematics.
Numerical Simulation: Theory and Analysis
This book encompasses the fundamentals as well as contemporary developments of numerical simulation associated with fluid dynamics in the natural environment and scientific applications. It also discusses numerical simulation in various industrial areas, like metallurgy, power engineering and building. Latest numerical methodologies, as well as software, the most precise and enhanced in treating the physical phenomena, are applied for the purpose of explanation of the investigated processes in terms of numbers. Since it plays a significant role in both industrial and theoretical research, this book regarding simulation of several physical procedures will serve as a useful tool for researchers as well as scientists, industrial engineers, applied mathematicians, and post-graduate students.
Principal Component Analysis Handbook
This book on Principal component analysis (PCA) is a significant contribution to the field of data analysis. PCA involves a statistical procedure which orthogonally transforms a set of possibly correlated observations into set of values of linearly uncorrelated variables called principal components. The aim of this book is to enhance knowledge of scientists, engineers and researchers regarding the advantages of this technique in data analysis and includes information on the uses of PCA in distinct fields like multi-sensor data fusion, ecology, energy, agriculture, climate, image and video processing, gas chromatographic examination, color coating, materials science and automatic target identification.
Principal Component Analysis
The aim of this book is to enhance knowledge of scientists, engineers and researchers regarding the advantages of principal component analysis in data analysis. Principal component analysis involves a statistical procedure which orthogonally transforms a set of possibly correlated observations into set of values of linearly uncorrelated variables called principal components. This book elucidates the uses of PCA in distinct fields like face recognition, and image and speech processing. The book also covers core concepts and novel techniques in data analysis and feature extraction.
Mathematical Optimization and Modeling: Concepts, Theories and Applications
Optimization theory and techniques are a primary area of study under applied mathematics. This book on mathematical optimization and modeling seeks to delve into its various concepts, theories and models. Different approaches, evaluations, methodologies and advanced studies on mathematical optimization have been included in this text which will provide useful insights to the readers. Mathematical theory of uncertainty, optimization under uncertainty, applications of uncertainty, etc. are some of the topics discussed extensively in this book. As this field is emerging at a rapid pace, the contents of the book will help the readers understand the upcoming concepts and prospective applications of mathematical modeling and mathematical optimization.
Epistemic Processes
This book discusses a link between statistical theory and quantum theory based on the concept of epistemic processes. The latter are processes, such as statistical investigations or quantum mechanical measurements, that can be used to obtain knowledge about something. Various topics in quantum theory are addressed, including the construction of a Hilbert space from reasonable assumptions and an interpretation of quantum states. Separate derivations of the Born formula and the one-dimensional Schr繹dinger equation are given. In concrete terms, a Hilbert space can be constructed under some technical assumptions associated with situations where there are two conceptual variables that can be seen as maximally accessible. Then to every accessible conceptual variable there corresponds an operator on this Hilbert space, and if the variables take a finite number of values, the eigenspaces/eigenvectors of these operators correspond to specific questions in nature together with sharp answers to these questions. This paves a new way to the foundations of quantum theory. The resulting interpretation of quantum mechanics is related to Herv矇 Zwirn's recent Convivial Solipsism, but it also has some relations to Quantum Bayesianism and to Rovelli's relational quantum mechanics. Niels Bohr's concept of complementarity plays an important role. Philosophical implications of this approach to quantum theory are discussed, including consequences for macroscopic settings.The book will benefit a broad readership, including physicists and statisticians interested in the foundations of their disciplines, philosophers of science and graduate students, and anyone with a reasonably good background in mathematics and an open mind.
Analysis of Data from Randomized Controlled Trials
This book provides a practical guide to the analysis of data from randomized controlled trials (RCT). It gives an answer to the question of how to estimate the intervention effect in an appropriate way. This problem is examined for different RCT designs, such as RCTs with one follow-up measurement, RCTs with more than one follow-up measurement, cluster RCTs, cross-over trials, stepped wedge trials, and N-of-1 trials. The statistical methods are explained in a non-mathematical way and are illustrated by extensive examples. All datasets used in the book are available for download, so readers can reanalyse the examples to gain a better understanding of the methods used. Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other fields.
Advanced Principles and Applications of Mathematics
The application of mathematics in various fields such as science and engineering is known as applied mathematics. It studies and works upon practical problems by studying and understanding mathematical models. Applied mathematics studies various topics such as differential equations, analysis and stochastics. This book provides significant information of this discipline to help develop a good understanding of mathematics and related fields. It is a vital tool for all those who are researching or studying applied mathematics as it gives incredible insights into emerging trends and concepts.
Mathematics: Key Concepts and Applications
Mathematics is concerned with the study of abstract numbers as well as real quantities. It studies various sets of numbers such as natural numbers, rational numbers, real numbers, integers, etc. Pure mathematics studies the inherent nature of abstract entities while applied mathematics uses methods that are derived from mathematics in diverse fields such as engineering, computer science, business, etc. This book will also provide interesting topics for research which readers can take up. It attempts to assist those with a goal of delving into the field of mathematics.
Statistical Distributions
Statistical distribution aims to measure different subsets of a possible outcome by assigning a probability and is beneficial in random surveys. It is further divided into various sub-categories and has wide ranging applications in diverse scientific and engineering fields. The book focuses upon discrete, continuous and mixed probability distributions with detailed examples. It provides various graphs and methodologies to measure the sample space of random variables. Applied probability is extensively discussed in this book through different researches which makes it a very helpful reference source for students, researchers and academicians.
Resilience and Stability of Ecological and Social Systems
This monograph, co-authored by three longtime collaborators, aims to promote the interdisciplinary field of mathematical biology by providing accessible new approaches to study natural systems. As there is currently scarce literature on the applications of mathematical modelling for biology research, this book presents a new way of studying interactions at the level of populations, societies, ecosystems, and biomes through open-sourced modeling platforms. It offers an interdisciplinary approach to analyzing natural phenomena-for example, by showing how master equations developed to describe electrical circuits can also describe biological systems mathematically. Ultimately it promotes a method of study based on modelling and mathematical principles, facilitating collaboration between mathematicians, biologists, engineers, and other researchers to enrich knowledge of the world's ecosystems.
An Introduction to Bayesian Inference, Methods and Computation
These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.
Note Taking Activities in E-Learning Environments
The main focus of this book is presenting practical procedures for improving learning effectiveness using note taking activities during e-learning courses. Although presentation of e-learning activities recently has been spreading to various education sectors, some practical problems have been discussed such as evaluation of learning performance and encouragement of students. The authors introduce note taking activity as a conventional learning tool in order to promote individual learning activity and learning efficacy. The effectiveness of note taking has been measured in practical teaching in a Japanese university using techniques of learning analytics, and the results are shown here. The relationships between note taking activity and students' characteristics, the possibility of predicting the final learning performance using metrics of students' note taking, and the effectiveness for individual emotional learning factors are evaluated. Some differences between blended learning and fully online learning courses are also discussed. The authors provide novel analytical procedures and ideas to manage e-learning courses. In particular, the assessment of note taking activity may help to track individual learning progress and to encourage learning motivation.
Stochastic Analysis
This book is intended for university seniors and graduate students majoring in probability theory or mathematical finance. In the first chapter, results in probability theory are reviewed. Then, it follows a discussion of discrete-time martingales, continuous time square integrable martingales (particularly, continuous martingales of continuous paths), stochastic integrations with respect to continuous local martingales, and stochastic differential equations driven by Brownian motions. In the final chapter, applications to mathematical finance are given. The preliminary knowledge needed by the reader is linear algebra and measure theory. Rigorous proofs are provided for theorems, propositions, and lemmas.In this book, the definition of conditional expectations is slightly different than what is usually found in other textbooks. For the Doob-Meyer decomposition theorem, only square integrable submartingales are considered, and only elementary facts ofthe square integrable functions are used in the proof. In stochastic differential equations, the Euler-Maruyama approximation is used mainly to prove the uniqueness of martingale problems and the smoothness of solutions of stochastic differential equations.
Imagine Math 7
Imagine mathematics, imagine with the help of mathematics, imagine new worlds, new geometries, new forms. Imagine building mathematical models that make it possible to manage our world better, imagine solving great problems, imagine new problems never before thought of, imagine combining music, art, poetry, literature, architecture, theatre and cinema with mathematics. Imagine the unpredictable and sometimes counterintuitive applications of mathematics in all areas of human endeavour. This seventh volume starts with a homage to the Italian artist Mimmo Paladino who created exclusively for the Venice Conference 2019 ten original and unique works of art paper dedicated to the themes of the meeting. A large section is dedicated to the most recent Fields Medals including a Homage to Maryam Mirzakhani including a presentation of the exhibition on soap bubbles in art and science that took place in 2019. A section is dedicated to cinema and theatre including the performances by Claire Bardainne & Adrien Mondot. A part of the conference focused on the community of mathematicians, their role in literature and even in politics with the extraordinary example of Antanas Mockus Major of Bogot獺. Mathematics in the constructions of bridges, in particular in Italy in the Sixties was presented by Tullia Iori. A very particular contribution on Origami by a mathematician, Marco Abate and an artist, Alessandro Beber. And many other topics. As usual the topics are treated in a way that is rigorous but captivating, detailed and full of evocations. This is an all-embracing look at the world of mathematics and culture. The world, life, culture, everything has changed in a few weeks with the Coronavirus. Culture, science are the main ways to safeguard people's physical and social life. Trust in humanity's creativity and ability. The motto today in Italy is Everything will be fine.This work is addressed to all those who have an interest inMathematics.
The New Statistics with R
Statistical methods are a key tool for all scientists working with data, but learning the basics continues to challenge successive generations of students. This accessible textbook provides an up-to-date introduction to the classical techniques and modern extensions of linear model analysis-one of the most useful approaches for investigating scientific data in the life and environmental sciences. While some of the foundational analyses (e.g. t tests, regression, ANOVA) are as useful now as ever, best practice moves on and there are many new general developments that offer great potential. The book emphasizes an estimation-based approach that takes account of recent criticisms of over-use of probability values and introduces the alternative approach that uses information criteria. This new edition includes the latest advances in R and related software and has been thoroughly "road-tested" over the last decade to create a proven textbook that teaches linear and generalized linear model analysis to students of ecology, evolution, and environmental studies (including worked analyses of data sets relevant to all three disciplines). While R is used throughout, the focus remains firmly on statistical analysis. The New Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners in the fields of ecology, evolution and environmental studies.
Optimization with Lingo-18
The book is a valuable compendium comprising several optimization applications-based case studies. Chapters are written in a reader-friendly manner; theoretical concepts with applications have also been discussed.
The New Statistics with R
Statistical methods are a key tool for all scientists working with data, but learning the basics continues to challenge successive generations of students. This accessible textbook provides an up-to-date introduction to the classical techniques and modern extensions of linear model analysis-one of the most useful approaches for investigating scientific data in the life and environmental sciences. While some of the foundational analyses (e.g. t tests, regression, ANOVA) are as useful now as ever, best practice moves on and there are many new general developments that offer great potential. The book emphasizes an estimation-based approach that takes account of recent criticisms of over-use of probability values and introduces the alternative approach that uses information criteria. This new edition includes the latest advances in R and related software and has been thoroughly "road-tested" over the last decade to create a proven textbook that teaches linear and generalized linear model analysis to students of ecology, evolution, and environmental studies (including worked analyses of data sets relevant to all three disciplines). While R is used throughout, the focus remains firmly on statistical analysis. The New Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners in the fields of ecology, evolution and environmental studies.
Mixed-Mode Official Surveys
This book covers mixed-mode data collection methods and its consequence for the survey process from design, data collection, and estimation. It is an invaluable resource for professionals involved in survey research and analysis, graduate students of survey methodology and academics working in the area.
Mathematics in Population Biology
The formulation, analysis, and re-evaluation of mathematical models in population biology has become a valuable source of insight to mathematicians and biologists alike. This book presents an overview and selected sample of these results and ideas, organized by biological theme rather than mathematical concept, with an emphasis on helping the reader develop appropriate modeling skills through use of well-chosen and varied examples. Part I starts with unstructured single species population models, particularly in the framework of continuous time models, then adding the most rudimentary stage structure with variable stage duration. The theme of stage structure in an age-dependent context is developed in Part II, covering demographic concepts, such as life expectation and variance of life length, and their dynamic consequences. In Part III, the author considers the dynamic interplay of host and parasite populations, i.e., the epidemics and endemics of infectious diseases. The theme of stage structure continues here in the analysis of different stages of infection and of age-structure that is instrumental in optimizing vaccination strategies. Each section concludes with exercises, some with solutions, and suggestions for further study. The level of mathematics is relatively modest; a "toolbox" provides a summary of required results in differential equations, integration, and integral equations. In addition, a selection of Maple worksheets is provided. The book provides an authoritative tour through a dazzling ensemble of topics and is both an ideal introduction to the subject and reference for researchers.
Selectors
Though the search for good selectors dates back to the early twentieth century, selectors play an increasingly important role in current research. This book is the first to assemble the scattered literature into a coherent and elegant presentation of what is known and proven about selectors--and what remains to be found. The authors focus on selection theorems that are related to the axiom of choice, particularly selectors of small Borel or Baire classes. After examining some of the relevant work of Michael and Kuratowski & Ryll-Nardzewski and presenting background material, the text constructs selectors obtained as limits of functions that are constant on the sets of certain partitions of metric spaces. These include selection theorems for maximal monotone maps, for the subdifferential of a continuous convex function, and for some geometrically defined maps, namely attainment and nearest-point maps. Assuming only a basic background in analysis and topology, this book is ideal for graduate students and researchers who wish to expand their general knowledge of selectors, as well as for those who seek the latest results.
Simple Games
Simple games are mathematical structures inspired by voting systems in which a single alternative, such as a bill, is pitted against the status quo. The first in-depth mathematical study of the subject as a coherent subfield of finite combinatorics--one with its own organized body of techniques and results--this book blends new theorems with some of the striking results from threshold logic, making all of it accessible to game theorists. Introductory material receives a fresh treatment, with an emphasis on Boolean subgames and the Rudin-Keisler order as unifying concepts. Advanced material focuses on the surprisingly wide variety of properties related to the weightedness of a game. A desirability relation orders the individuals or coalitions of a game according to their influence in the corresponding voting system. As Taylor and Zwicker show, acyclicity of such a relation approximates weightedness--the more sensitive the relation, the closer the approximation. A trade is an exchange of players among coalitions, and robustness under such trades is equivalent to weightedness of the game. Robustness under trades that fit some restrictive exchange pattern typically characterizes a wider class of simple games--for example, games for which some particular desirability order is acyclic. Finally, one can often describe these wider classes of simple games by weakening the total additivity of a weighting to obtain what is called a pseudoweighting. In providing such uniform explanations for many of the structural properties of simple games, this book showcases numerous new techniques and results.