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Advances in Knowledge Discovery and Data Mining: 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings, Part IV (Lecture Notes in Computer Science #14648)
by Vincent S. Tseng Jerry Chun-Wei Lin Xing Xie Jian Pei De-Nian Yang Jen-Wei HuangThe 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7–10, 2024. The 177 papers presented in these proceedings were carefully reviewed and selected from 720 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
The Science of State Power in the Habsburg Monarchy, 1790-1880 (New Perspectives on Central and Eastern European Studies #5)
by Borbala Zsuzsanna TörökThe formation of modern European states during the long 19th century was a complicated process, challenged by the integration of widely different territories and populations. The Science of State Power in the Habsburg Monarchy, 1790-1880 builds on recent research to investigate the history of statistics as an overlooked part of the sciences of the state in Habsburg legal education as well as within the broader public sphere. By exploring the practices and social spaces of statistics, author Borbála Zsuzsanna Török uncovers its central role in imagining the composite Habsburg Monarchy as a modern and unified administrative space.
The Science of State Power in the Habsburg Monarchy, 1790-1880 (New Perspectives on Central and Eastern European Studies #5)
by Borbala Zsuzsanna TörökThe formation of modern European states during the long 19th century was a complicated process, challenged by the integration of widely different territories and populations. The Science of State Power in the Habsburg Monarchy, 1790-1880 builds on recent research to investigate the history of statistics as an overlooked part of the sciences of the state in Habsburg legal education as well as within the broader public sphere. By exploring the practices and social spaces of statistics, author Borbála Zsuzsanna Török uncovers its central role in imagining the composite Habsburg Monarchy as a modern and unified administrative space.
Modelling and Simulation in Plasma Physics for Physicists and Mathematicians
by Geoffrey J. PertUnveiling the Secrets of Plasma Physics: A Practical Guide to Computational Simulations Plasma physics focuses on the most abundant state of matter in the universe, corresponding to ionized gas comprising ions and electrons. It can be created artificially and has a huge range of technological applications, from television displays to fusion energy research. Every application of plasma technology requires its own numerical solution to the complex physical and mathematical equations which govern the research field of plasma physics. Modelling and Simulation in Plasma Physics for Physicists and Mathematics offers an introduction to the principles of simulating plasma physics applications. It provides knowledge not only of the fundamental algorithms in computational fluid mechanics, but also their specific role in a plasma physics context. In addition, the book dissects the challenges and advancements, unveiling the delicate balance between accuracy and computational cost. Modelling and Simulation in Plasma Physics for Physicists and Mathematics readers will also find: Cutting-edge computational insights where powerful simulations meet theoretical complexities, providing physicists and mathematicians a gateway to cutting-edge research. An overview of programming language-agnostic code generation and the construction of adaptable models that resonate with the intricate dynamics of plasma physics, ensuring precision in every simulation. Advanced simplification strategies, including time splitting, analytic models, averaged rates, and tabular material, offering scientists and engineers a roadmap to balance computational demands with scientific rigor. Modelling and Simulation in Plasma Physics for Physicists and Mathematics is ideal for plasma physicists, students, and engineers looking to work with plasma technologies.
Vulnerability, Territory, Population: From Critique to Public Policy
by Samuel Rufat Pascale MetzgerDuring the Covid-19 pandemic, the term "vulnerable" was applied to "individuals" and to "populations", "groups" and "countries" in discussions, laws and regulations; now it applies to all objects in relation to all kinds of threats. However, rather than a label for governing people and places, the notion of "vulnerability" was expected to become an instrument to tackle the root causes of disasters, poverty and maldevelopment, as well as the inequalities and injustices they bring, whether social, political, economic or environmental. Despite this radical dimension, vulnerability has gradually been incorporated into public policies and international recommendations for global risk and disaster management. This book is intended for researchers, students, managers and decision makers concerned with the management of not only risks and crises but also climate and environmental change. The first part examines the multiple theoretical and conceptual approaches; the second explores vulnerability assessments, using examples from the Global North and Global South; and the third discusses tools, public policies and actions taken to reduce vulnerability.
A Medical Educator's Guide to Thinking Critically about Randomised Controlled Trials: Deconstructing the "Gold Standard"
by Margaret MacDougallDrawing on the statistical and philosophical expertise of its authors, this book is designed to improve understanding and use of randomised controlled trials (RCTs) among health professionals. It is intended for use primarily by medical educators involved in teaching statistics and evidence-based medicine (EBM) to medical students, junior doctors and other health professionals. However, each of the chapters serves a wider range of interests, including the practical needs of physicians in interpreting research evidence to support clinical decision making and the teaching needs of philosophers of medicine who want to more fully appreciate how RCTs work in practice and provide engaging examples for their students. Rather than compete with the proliferating methodological literature on RCT designs, this book focuses on cultivating a healthy skepticism among developing health professionals to support critical appraisal of their own and published work on RCTs at a fundamental level, including through a more informed understanding of the place of subgroup analyses in sound statistical inference. Management of the positive predictive value in the statistical analysis of RCT findings is included as an important topic for contemporary medical curricula. In comparing RCTs with non-randomised studies, a search for empirical evidence for the superiority of RCTs is initiated, pointing to the need for further work to confirm what form this evidence should take.Medical educators will find a wealth of reasons to encourage their students to think more critically about how the RCT operates in practice as a gold standard.
Assessing Policy Effectiveness using AI and Language Models: Applications for Economic and Social Sustainability (International Series in Operations Research & Management Science #354)
by Chandrasekar VuppalapatiThis volume uses advanced machine learning techniques to analyze government communication to evaluate policy effectiveness. The book develops policy effectiveness foundation models by cohorting historical budget policies with statistical models which are built on well reputed data sources including economic events, macroeconomic trends, and ratings and commerce terms from international institutions. By signal mining policies to the economic outcome patterns, the book aims to create a rich source of successful policy insights in terms of their effectiveness in bringing development to the poor and underserved communities to ensure the spread of wealth, social wellbeing, and standard of living to the common denomination of society rather than a selected quotient. Enabling academics and practitioners across disciplines to develop applications for effective policy interventions, this volume will be of interest to a wide audience including software engineers, data scientists, social scientists, economists, and agriculture practitioners.
Adaptive Filtering Under Minimum Mean p-Power Error Criterion
by Badong Chen Wentao MaAdaptive filtering still receives attention in engineering as the use of the adaptive filter provides improved performance over the use of a fixed filter under the time-varying and unknown statistics environments. This application evolved communications, signal processing, seismology, mechanical design, and control engineering. The most popular optimization criterion in adaptive filtering is the well-known minimum mean square error (MMSE) criterion, which is, however, only optimal when the signals involved are Gaussian-distributed. Therefore, many "optimal solutions" under MMSE are not optimal. As an extension of the traditional MMSE, the minimum mean p-power error (MMPE) criterion has shown superior performance in many applications of adaptive filtering. This book aims to provide a comprehensive introduction of the MMPE and related adaptive filtering algorithms, which will become an important reference for researchers and practitioners in this application area. The book is geared to senior undergraduates with a basic understanding of linear algebra and statistics, graduate students, or practitioners with experience in adaptive signal processing.Key Features: Provides a systematic description of the MMPE criterion. Many adaptive filtering algorithms under MMPE, including linear and nonlinear filters, will be introduced. Extensive illustrative examples are included to demonstrate the results.
Adaptive Filtering Under Minimum Mean p-Power Error Criterion
by Badong Chen Wentao MaAdaptive filtering still receives attention in engineering as the use of the adaptive filter provides improved performance over the use of a fixed filter under the time-varying and unknown statistics environments. This application evolved communications, signal processing, seismology, mechanical design, and control engineering. The most popular optimization criterion in adaptive filtering is the well-known minimum mean square error (MMSE) criterion, which is, however, only optimal when the signals involved are Gaussian-distributed. Therefore, many "optimal solutions" under MMSE are not optimal. As an extension of the traditional MMSE, the minimum mean p-power error (MMPE) criterion has shown superior performance in many applications of adaptive filtering. This book aims to provide a comprehensive introduction of the MMPE and related adaptive filtering algorithms, which will become an important reference for researchers and practitioners in this application area. The book is geared to senior undergraduates with a basic understanding of linear algebra and statistics, graduate students, or practitioners with experience in adaptive signal processing.Key Features: Provides a systematic description of the MMPE criterion. Many adaptive filtering algorithms under MMPE, including linear and nonlinear filters, will be introduced. Extensive illustrative examples are included to demonstrate the results.
Metal Forming Processes: Fundamentals, Analysis, Calculations (Mechanical Engineering Series)
by Zainul HudaThis unique textbook features fundamentals and analyses of metal forming processes supported by 200 worked numerical examples. It provides rigorous detail on the three all-important groups of metal-forming processes: bulk-metal forming, sheet-metal forming, and sheet-bulk-metal forming. Theory of metal forming is presented by discussing deformation behavior, plasticity, and formability with a thorough mathematical analyses and calculations. The mechanics of sheet metal forming is also covered by including principal strain increments in uniaxial loading as well as plane stress deformation. There are 125 diagrammatic illustrations/real-life photographs that have been labelled properly to enhance the understanding of readers. Among the salient features of the book is the inclusion of industrially-oriented projects, covering both technological and business considerations. The key solutions connected to these projects are presented with the aid of mathematical analysis and process flow diagrams. The book includes 100 multiple-choice questions (MCQs) with their answers and those for selected problems facilitating self-directed learning.
Kurt Gödel: Metamathematisches Genie
by William D. BrewerZu seinen Lebzeiten war Kurt Gödel außerhalb der Fachwelt der Mathematiker, Philosophen und theoretischen Physiker kaum bekannt. Zu Beginn seiner Karriere schuf er beeindruckende Arbeiten zur Vollständigkeit und Beweisbarkeit formaler logischer Systeme, die zu seiner Dissertation und seiner Habilitations-schrift wurden und ihn unter Fachleuten weltberühmt machten. Seine Unvoll-ständigkeitssätze läuteten das Ende der formal-logischen Programme der Logizisten (Russell et al.) und der Formalisten (Hilbert et al.) ein. Später erzielte er auch signifikante Ergebnisse in der Mengenlehre. Nach seiner Emigration in die USA (Princeton), widmete er sich mehr der Philosophie, dem Leitmotiv seines Lebens, und er fand auch eine einzigartige Lösung zu Einsteins Feld-gleichungen der Gravitation, sein “Gödel-Universum“. Dieses Buch beschreibt sowohl den Gödel, der ein genialer Wissenschaftler war, und der gewagte und neuartige Hypothesen zu den Fundamenten der Mathe-matik und Physik hervorbrachte, ‒ als auch den Gödel, der ein perfekter Rationalist war, aber sein Alltagsleben nur mit Mühe meistern konnte und zeitlebens unter Depressionen, Angstneurosen und Hypochondrie litt. Ein Leben voller Paradoxen, in dem er trotz all seiner psychischen Probleme Beachtliches leistete und zu einem Vorbild für viele jüngere Wissenschaftler wurde. Das Buch liefert den Kontext zu seinen Errungenschaften, die ein verblüffend breites Spektrum intellektueller Unternehmungen darstellen, und zu seiner zunehmenden Geisteskrankheit; und es zeigt, wie er eine lange und erfolgreiche Karriere mit Hilfe seiner loyalen Ehefrau Adele und einigen seiner Freunde durchlaufen konnte. Dies ist eine faszinierende Geschichte der wissen-schaftlichen Genialität und der menschlichen Natur.
Kalman-Filter: Einführung in die Zustandsschätzung und ihre Anwendung für eingebettete Systeme
by Reiner Marchthaler Sebastian DinglerDieses Lehrbuch befasst sich leicht verständlich mit der Theorie der Kalman-Filterung. Die Autoren geben damit eine Einführung in Kalman-Filter und deren Anwendung für eingebettete Systeme. Zusätzlich wird anhand konkreter Praxisbeispiele der Kalman-Filterentwurf demonstriert – Teilschritte werden im Buch ausführlich erläutert.Kalman-Filter sind die erste Wahl, um Störsignale auf den Sensorsignalen zu eliminieren. Dies ist von besonderer Bedeutung, da viele technische Systeme ihre prozessrelevanten Informationen über Sensoren gewinnen. Jeder Messwert eines Sensors weißt jedoch aufgrund verschiedener Ursachen einen Messfehler auf. Würde ein System nur auf Basis dieser ungenauen Sensorinformationen arbeiten, so wären viele Anwendungen, wie zum Beispiel ein Navigationssystem oder autonome arbeitende Systeme, nicht möglich.Das Buch ist geeignet für interessierte Bachelor- und Master-Studierende der Fachrichtungen Informatik, Maschinenbau, Elektrotechnik undMechatronik. Ebenso ist das Buch eine Hilfe für Ingenieure und Wissenschaftler, die ein Kalman-Filter z. B. für die Datenfusion oder die Schätzung unbekannter Größen in Echtzeitanwendungen einsetzen möchten.
A Finite Element Approach for Wave Propagation in Elastic Solids (Lecture Notes on Numerical Methods in Engineering and Sciences)
by Arkadiusz ŻakThis book focuses on wave propagation phenomena in elastic solids modelled by the use of the finite element method. Although the latter is a well-established and popular numerical tool used by engineers and researchers all around the word the process of modelling of wave propagation can still be a challenge. The book introduces a reader to the problem by presenting a historical background and offering a broad perspective on the development of modern science and numerical methods. The principles of wave phenomena are clearly presented to the reader as well as the necessary background for understanding the finite element method, which is the following chapter of the book is viewed from the modeller point-of-view. Apart from the principles the book also addresses more advanced topics and problems including the use of the spectral-finite element method, the spline-based finite element method as well as the problems of undesired and hidden properties of discrete numerical models.
Multidimensional Aspects of Occupational Segregation: Time Series and Cross-National Comparisons (Behaviormetrics: Quantitative Approaches to Human Behavior #18)
by Keiko NakaoOne of the strengths of this book is that it expresses occupational segregation from multidimensional viewpoints using correspondence analysis. Through a quantitative approach, the book examines occupational segregation by education and gender in response to industrial transformation in Japan and other countries. The transformation of industrial structure, such as post-industrialization, demands a reconsideration of traditional perspectives in sociology, especially in social stratification. In other words, it is a shift from the attribute to the achievement principle. Higher technological innovations will create higher levels of industries, and those industries will require jobs that need greater human capital. In short, the meritocracy will be promoted. Meritocracy is certainly considered persuasive. In fact, previous researchers have looked primarily at a person’s occupation as a measure of social status. In Japan, jobs are normally acquired after completing education; thus, one’s educational achievement plays an important role. Especially in recent years, however, education alone has not been enough to explain social status. This book, therefore, focuses on occupational segregation by gender in addition to education in post-industrial society. Can occupational segregation by gender be weakened in the highly educated group? Is this a universal story in modern society? Because post-industrialization is part of the larger story of modernization, international perspectives are needed to examine the linkage between education and gender occupational segregation. This book explores occupational segregation by gender in response to industrial transformation in Japan and other countries.
Dyson–Schwinger Equations, Renormalization Conditions, and the Hopf Algebra of Perturbative Quantum Field Theory (Springer Theses)
by Paul-Hermann BaldufThis book offers a systematic introduction to the Hopf algebra of renormalization in quantum field theory, with a special focus on physical motivation, the role of Dyson–Schwinger equations, and the renormalization group. All necessary physical and mathematical constructions are reviewed and motivated in a self-contained introduction. The main part of the book concerns the interplay between Dyson–Schwinger equations (DSEs) and renormalization conditions. The book is explicit and consistent about whether a statement is true in general or only in particular renormalization schemes or approximations and about the dependence of quantities on regularization parameters or coupling constants. With over 600 references, the original literature is cited whenever possible and the book contains numerous references to other works discussing further details, generalizations, or alternative approaches. There are explicit examples and remarks to make the connection from the scalar fields at hand toQED and QCD. The book is primarily targeted at the mathematically oriented physicist who seeks a systematic conceptual overview of renormalization, Hopf algebra, and DSEs. These may be graduate students entering the field as well as practitioners seeking a self-contained account of the Hopf algebra construction. Conversely, the book also benefits the mathematician who is interested in the physical background of the exciting interplay between Hopf algebra, combinatorics and physics that is renormalization theory today.
Modelling and Simulation in Plasma Physics for Physicists and Mathematicians
by Geoffrey J. PertUnveiling the Secrets of Plasma Physics: A Practical Guide to Computational Simulations Plasma physics focuses on the most abundant state of matter in the universe, corresponding to ionized gas comprising ions and electrons. It can be created artificially and has a huge range of technological applications, from television displays to fusion energy research. Every application of plasma technology requires its own numerical solution to the complex physical and mathematical equations which govern the research field of plasma physics. Modelling and Simulation in Plasma Physics for Physicists and Mathematics offers an introduction to the principles of simulating plasma physics applications. It provides knowledge not only of the fundamental algorithms in computational fluid mechanics, but also their specific role in a plasma physics context. In addition, the book dissects the challenges and advancements, unveiling the delicate balance between accuracy and computational cost. Modelling and Simulation in Plasma Physics for Physicists and Mathematics readers will also find: Cutting-edge computational insights where powerful simulations meet theoretical complexities, providing physicists and mathematicians a gateway to cutting-edge research. An overview of programming language-agnostic code generation and the construction of adaptable models that resonate with the intricate dynamics of plasma physics, ensuring precision in every simulation. Advanced simplification strategies, including time splitting, analytic models, averaged rates, and tabular material, offering scientists and engineers a roadmap to balance computational demands with scientific rigor. Modelling and Simulation in Plasma Physics for Physicists and Mathematics is ideal for plasma physicists, students, and engineers looking to work with plasma technologies.
Big Data Analysis and Artificial Intelligence for Medical Sciences
by Paola Lecca Bruno CarpentieriBig Data Analysis and Artificial Intelligence for Medical Sciences Overview of the current state of the art on the use of artificial intelligence in medicine and biology Big Data Analysis and Artificial Intelligence for Medical Sciences demonstrates the efforts made in the fields of Computational Biology and medical sciences to design and implement robust, accurate, and efficient computer algorithms for modeling the behavior of complex biological systems much faster than using traditional modeling approaches based solely on theory. With chapters written by international experts in the field of medical and biological research, Big Data Analysis and Artificial Intelligence for Medical Sciences includes information on: Studies conducted by the authors which are the result of years of interdisciplinary collaborations with clinicians, computer scientists, mathematicians, and engineers Differences between traditional computational approaches to data processing (those of mathematical biology) versus the experiment-data-theory-model-validation cycle Existing approaches to the use of big data in the healthcare industry, such as through IBM’s Watson Oncology, Microsoft’s Hanover, and Google’s DeepMind Difficulties in the field that have arisen as a result of technological changes, and potential future directions these changes may take A timely and up-to-date resource on the integration of artificial intelligence in medicine and biology, Big Data Analysis and Artificial Intelligence for Medical Sciences is of great benefit not only to professional scholars, but also MSc or PhD program students eager to explore advancement in the field.
Quanten-Zufallszahlengenerierung: Theorie und Praxis
by Stefan Rass Stefan Schauer Christian Kollmitzer Benjamin RainerDieses Buch bietet einen Überblick über die neuesten Implementierungen von Quanten-Zufallszahlengeneratoren (QRNGs) und untersucht insbesondere deren Beziehung zu klassischen statistischen Zufallsmodellen und numerischen Techniken zur Berechnung von Zufallszahlen. Der Leser - der idealerweise einen Hintergrund in klassischer Statistik, Informatik oder Kryptographie hat - wird Schritt für Schritt in die Welt der Quantenbits eingeführt, und es werden explizite Beziehungen zwischen QRNGs und ihren klassischen Gegenstücken aufgezeigt. Die Erzeugung von Zufallszahlen ist eine wichtige Säule der Kryptographie. Die Nutzung des Zufalls, der Quantenphänomenen innewohnt, ist ein sich rasch entwickelnder Zweig der Quantenkryptografie mit unzähligen Anwendungen für die Zukunft. Der Wert der Quantenzufälligkeit für kryptografische Zwecke wird empirisch durch statistische Auswertungen der Leistung von QRNGs im Vergleich zu klassischen Techniken zur Erzeugung echter und pseudozufälliger Zahlen nachgewiesen. Das Buch bietet dann einen Überblick über die technischen Implementierungen von QRNGs, bevor eine abschließende Diskussion über die wichtigsten Errungenschaften und verbleibenden Hindernisse auf diesem Gebiet die Berichterstattung abrundet und gleichzeitig die Tür für zukünftige Forschungsrichtungen öffnet.
Multi-Omics Analysis of the Human Microbiome: From Technology to Clinical Applications
by Vijai Singh Indra ManiThis book introduces the rapidly evolving field of multi-omics in understanding the human microbiome. The book focuses on the technology used to generate multi-omics data, including advances in next-generation sequencing and other high-throughput methods. It also covers the application of artificial intelligence and machine learning algorithms to the analysis of multi-omics data, providing readers with an overview of the powerful computational tools that are driving innovation in this field. The chapter also explores the various bioinformatics databases and tools available for the analysis of multi-omics data. The book also delves into the application of multi-omics technology to the study of microbial diversity, including metagenomics, metatranscriptomics, and metaproteomics. The book also explores the use of these techniques to identify and characterize microbial communities in different environments, from the gut and oral microbiome to the skin microbiome and beyond. Towards theend, it focuses on the use of multi-omics in the study of microbial consortia, including mycology and the viral microbiome. The book also explores the potential of multi-omics to identify genes of biotechnological importance, providing readers with an understanding of the role that this technology could play in advancing biotech research. Finally, the book concludes with a discussion of the clinical applications of multi-omics technology, including its potential to identify disease biomarkers and develop personalized medicine approaches. Overall, this book provides readers with a comprehensive overview of this exciting field, highlighting the potential for multi-omics to transform our understanding of the microbial world.
Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique (Multivariate Applications Series)
by E. Michael NussbaumNow in its second edition, this book provides a focused, comprehensive overview of both categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate test in various scenarios. The book’s clear explanations and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of these techniques. Basic statistics and probability are reviewed for those needing a refresher with mathematical derivations placed in optional appendices.Highlights include the following:• Three chapters co-authored with Edgar Brunner address modern nonparametric techniques, along with accompanying R code.• Unique coverage of both categorical and nonparametric statistics better prepares readers to select the best technique for particular research projects.• Designed to be used with most statistical packages, clear examples of how to use the tests in SPSS, R, and Excel foster conceptual understanding.• Exploring the Concept boxes integrated throughout prompt students to draw links between the concepts to deepen understanding.• Fully developed Instructor and Student Resources featuring datasets for the book's problems and a guide to R, and for the instructor PowerPoints, author's syllabus, and answers to even-numbered problems.Intended for graduate or advanced undergraduate courses in categorical and nonparametric statistics taught in psychology, education, human development, sociology, political science, and other social and life sciences.
Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique (Multivariate Applications Series)
by E. Michael NussbaumNow in its second edition, this book provides a focused, comprehensive overview of both categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate test in various scenarios. The book’s clear explanations and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of these techniques. Basic statistics and probability are reviewed for those needing a refresher with mathematical derivations placed in optional appendices.Highlights include the following:• Three chapters co-authored with Edgar Brunner address modern nonparametric techniques, along with accompanying R code.• Unique coverage of both categorical and nonparametric statistics better prepares readers to select the best technique for particular research projects.• Designed to be used with most statistical packages, clear examples of how to use the tests in SPSS, R, and Excel foster conceptual understanding.• Exploring the Concept boxes integrated throughout prompt students to draw links between the concepts to deepen understanding.• Fully developed Instructor and Student Resources featuring datasets for the book's problems and a guide to R, and for the instructor PowerPoints, author's syllabus, and answers to even-numbered problems.Intended for graduate or advanced undergraduate courses in categorical and nonparametric statistics taught in psychology, education, human development, sociology, political science, and other social and life sciences.
Mathematics for Economics and Finance: Methods and Modelling
by null Martin Anthony null Norman BiggsAccessible, concise, and interactive, this book introduces the mathematical methods that are indispensable in economics and finance. Fully updated to be as student friendly as possible, this edition contains extensive problems, worked examples and exercises (with full solutions at the end of the book). Two brand new chapters cover coupled systems of recurrence/differential equations, and matrix diagonalisation. All topics are motivated by problems from economics and finance, demonstrating to students how they can apply the mathematical techniques covered. For undergraduate students of economics, mathematics, or both, this book will be welcomed for its clarity and breadth and the many opportunities it provides for readers to practise and test their understanding.
Liberty's Grid: A Founding Father, a Mathematical Dreamland, and the Shaping of America
by Amir AlexanderThe surprising history behind a ubiquitous facet of the United States: the gridded landscape. Seen from an airplane, much of the United States appears to be a gridded land of startling uniformity. Perpendicular streets and rectangular fields, all precisely measured and perfectly aligned, turn both urban and rural America into a checkerboard landscape that stretches from horizon to horizon. In evidence throughout the country, but especially the West, the pattern is a hallmark of American life. One might consider it an administrative convenience—an easy way to divide land and lay down streets—but it is not. The colossal grid carved into the North American continent, argues historian and writer Amir Alexander, is a plan redolent with philosophical and political meaning. In 1784 Thomas Jefferson presented Congress with an audacious scheme to reshape the territory of the young United States. All western lands, he proposed, would be inscribed with a single rectilinear grid, transforming the natural landscape into a mathematical one. Following Isaac Newton and John Locke, he viewed mathematical space as a blank slate on which anything is possible and where new Americans, acting freely, could find liberty. And if the real America, with its diverse landscapes and rich human history, did not match his vision, then it must be made to match it. From the halls of Congress to the open prairies, and from the fight against George III to the Trail of Tears, Liberty’s Grid tells the story of the battle between grid makers and their opponents. When Congress endorsed Jefferson’s plan, it set off a struggle over American space that has not subsided. Transcendentalists, urban reformers, and conservationists saw the grid not as a place of possibility but as an artificial imposition that crushed the human spirit. Today, the ideas Jefferson associated with the grid still echo through political rhetoric about the country’s founding, and competing visions for the nation are visible from Manhattan avenues and Kansan pastures to Yosemite’s cliffs and suburbia’s cul-de-sacs. An engrossing read, Liberty’s Grid offers a powerful look at the ideological conflict written on the landscape.
Liberty's Grid: A Founding Father, a Mathematical Dreamland, and the Shaping of America
by Amir AlexanderThe surprising history behind a ubiquitous facet of the United States: the gridded landscape. Seen from an airplane, much of the United States appears to be a gridded land of startling uniformity. Perpendicular streets and rectangular fields, all precisely measured and perfectly aligned, turn both urban and rural America into a checkerboard landscape that stretches from horizon to horizon. In evidence throughout the country, but especially the West, the pattern is a hallmark of American life. One might consider it an administrative convenience—an easy way to divide land and lay down streets—but it is not. The colossal grid carved into the North American continent, argues historian and writer Amir Alexander, is a plan redolent with philosophical and political meaning. In 1784 Thomas Jefferson presented Congress with an audacious scheme to reshape the territory of the young United States. All western lands, he proposed, would be inscribed with a single rectilinear grid, transforming the natural landscape into a mathematical one. Following Isaac Newton and John Locke, he viewed mathematical space as a blank slate on which anything is possible and where new Americans, acting freely, could find liberty. And if the real America, with its diverse landscapes and rich human history, did not match his vision, then it must be made to match it. From the halls of Congress to the open prairies, and from the fight against George III to the Trail of Tears, Liberty’s Grid tells the story of the battle between grid makers and their opponents. When Congress endorsed Jefferson’s plan, it set off a struggle over American space that has not subsided. Transcendentalists, urban reformers, and conservationists saw the grid not as a place of possibility but as an artificial imposition that crushed the human spirit. Today, the ideas Jefferson associated with the grid still echo through political rhetoric about the country’s founding, and competing visions for the nation are visible from Manhattan avenues and Kansan pastures to Yosemite’s cliffs and suburbia’s cul-de-sacs. An engrossing read, Liberty’s Grid offers a powerful look at the ideological conflict written on the landscape.
Tuning the Snowflake Data Cloud: Optimizing Your Data Platform to Minimize Cost and Maximize Performance
by Andrew CarruthersThis project-oriented book presents a hands-on approach to identifying migration and performance issues with experience drawn from real-world examples. As you work through the book, you will develop skills, knowledge, and deep understanding of Snowflake tuning options and capabilities while preparing for later incorporation of additional Snowflake features as they become available. Your Snowflake platform will cost less to run and will improve your customer experience. Written by a seasoned Snowflake practitioner, this book is full of practical, hands-on guidance and advice specifically designed to further accelerate your Snowflake journey. Tuning the Snowflake Data Cloud provides you a pathway to success by equipping you with the skills, knowledge, and expertise needed to elevate your Snowflake experience. The book shows you how to leverage what you already know, adds what you don’t, and helps you apply it toward delivering for your Snowflake accounts. Read this book to embark on a voyage of advancement and equip your organization to deliver consistent Snowflake performance. What You Will Learn Recognize and understand the root cause of performance bottlenecks Know how to resolve performance issues Develop a deep understanding of Snowflake performance tuning options Reduce expensive mistakes, remediate poorly performing code Manage Snowflake costs