Data Structures Using C

This volume challenges previous views of social organization focused on elites by offering innovative perspectives on 'power from below.' Using a variety of archaeological, anthropological, and historical data to question traditional narratives of complexity as inextricably linked to top-down power structures, it exemplifies how commoners have developed strategies to sustain non-hierarchical networks and contest the rise of inequalities. Through case studies from around the world – ranging from Europe to New Guinea, and from Mesoamerica to China – an international team of contributors explores the diverse and dynamic nature of power relations in premodern societies. The theoretical models discussed throughout the volume include a reassessment of key concepts such as heterarchy, collective action, and resistance. Thus, the book adds considerable nuance to our understanding of power in the past, and also opens new avenues of reflection that can help inform discussions about our collectiv

Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; found

This book provides a general framework for doing geometric group theory for many non-locally-compact topological transformation groups that arise in mathematical practice, including homeomorphism and diffeomorphism groups of manifolds, isometry groups of separable metric spaces and automorphism groups of countable structures. Using Roe's framework of coarse structures and spaces, the author defines a natural coarse geometric structure on all topological groups. This structure is accessible to investigation, especially in the case of Polish groups, and often has an explicit description, generalising well-known structures in familiar cases including finitely generated discrete groups, compactly generated locally compact groups and Banach spaces. In most cases, the coarse geometric structure is metrisable and may even be refined to a canonical quasimetric structure on the group. The book contains many worked examples and sufficient introductory material to be accessible to beginning gradu

An examination of the phenomenon of mass shootings in America and an urgent call to implement evidence-based strategies to stop these tragedies Using data from the writers’ groundbreaking research on

Learn how to analyse and manage evolutionary and sequential user behaviours in modern networks, and how to optimize network performance by using indirect reciprocity, evolutionary games, and sequential decision making. Understand the latest theory without the need to go through the details of traditional game theory. With practical management tools to regulate user behaviour, and simulations and experiments with real data sets, this is an ideal tool for graduate students and researchers working in networking, communications, and signal processing.

This collection explores the relevance of global trade law for data, big data and cross-border data flows. Contributing authors from different disciplines including law, economics and political science analyze developments at the World Trade Organization and in preferential trade venues by asking what future-oriented models for data governance are available and viable in the area of trade law and policy. The collection paints the broad picture of the interaction between digital technologies and trade regulation as well as provides in-depth analyses of critical to the data-driven economy issues, such as privacy and AI, and different countries' perspectives. This title is also available as Open Access on Cambridge Core.

Supported by ten years of research, Wigmore has gathered extensive data covering the 2008 financial crisis and subsequent recovery to provide the first comprehensive history of the period. Financial crises cannot occur unless institutional investors finance the bubbles that created them. Wigmore follows the trail of data putting pressure on institutional investors to achieve higher levels of returns that led to over-leverage throughout the financial system and placed such a burden on recovery. Here is a 'very good picture - and painful reminder - of the crisis' evolution across multiple asset classes, structures, participants, and geographies.' This work serves as a critical analysis of modern portfolio management and an important reference work for financial professionals, academics, investors, and students.

This book focuses on the practical application of statistical techniques for assessing measurement invariance with less emphasis on theoretical development or exposition. Instead, it describes the methods using a pedagogical framework followed by extensive illustrations that demonstrate how to use software to analyze real data. The chapters illustrate the practical methods to assess measurement invariance and shows how to apply them to a range of data. The computer syntax and data sets used in this book are available for download here: people.umass.edu/cswells.

Many students find it daunting to move from studying environmental science, to designing and implementing their own research proposals. This book provides a practical introduction to help develop scientific thinking, aimed at undergraduate and new graduate students in the earth and environmental sciences. Students are guided through the steps of scientific thinking using published scientific literature and real environmental data. The book starts with advice on how to effectively read scientific papers, before outlining how to articulate testable questions and answer them using basic data analysis. The Mauna Loa CO2 dataset is used to demonstrate how to read metadata, prepare data, generate effective graphs and identify dominant cycles on various timescales. Practical, question-driven examples are explored to explain running averages, anomalies, correlations and simple linear models. The final chapter provides a framework for writing persuasive research proposals, making this an essent

Discover the world of engineering with fun, step-by-step projects. Take a closer look at the engineering behind the buildings and structures that surround us. Discover how engineers balance forces s

In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply collaborative, deeply creative process behind 24 unique data visualization projects, spanning 12 different topics. The book provides

30-Second Data Scienceis the quickest way to discover how data is a driving force not just in the big issues, such as climate change and healthcare, but in our daily lives. Data science is an enti

Mathematicians have skills that would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics,

The authors of Big Data with Hadoop MapReduce: A Classroom Approach have framed the book to facilitate understanding big data and MapReduce by visualizing the basic terminologies and concepts. They em

The focus of this book is data analytics for COVID-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platform

Data, Matter, Design presents a comprehensive overview of current design processes that rely on the input of data and use of computational design strategies, and their relationship to an array of

This book analyses the quality of statistics such as geographic area, census population and sample survey statistics in a developing country. Using field interviews, archival sources, and secondary data covering the last seven decades, it explores the shifting relations between various kinds of statistics over their lifecycles and charts their cradle-to-grave political career. It uncovers a mutually constitutive relationship between data, development, and democracy and offers an exciting account of how government statistics are social artefacts dynamically shaped by political and economic factors. The book also quantifies the impact of data quality on the statistics of interest to policy makers such as household consumption expenditure and federal transfers. Numbers in India's Periphery makes a major contribution to the growing literature on the political economy of statistics in developing countries through a novel analysis of the shifting determinants of the nature of data in North E

A comprehensive and beautifully illustrated introduction to using crystals in magick, geared specifically to young adults. Young witches, welcome to the school of crystals! In Young Witch's Guide to C

This book analyses diverse public discourses to investigate how wealth inequality has been portrayed in the British media from the time of the Second World War to the present day. Using a variety of c

In the global race to reach the end of AIDS, why is the world slipping off track? The answer has to do with stigma, money, and data. Global funding for AIDS response is declining. Tough choices must be made: some people will win and some will lose. Global aid agencies and governments use health data to make these choices. While aid agencies prioritize a shrinking list of countries, many governments deny that sex workers, men who have sex with men, drug users, and transgender people exist. Since no data is gathered about their needs, life-saving services are not funded, and the lack of data reinforces the denial. The Uncounted cracks open this and other data paradoxes through interviews with global health leaders and activists, ethnographic research, analysis of gaps in mathematical models, and the author's experience as an activist and senior official. It shows what is counted, what is not, and why empowering communities to gather their own data could be key to ending AIDS.

Master simple to advanced biomaterials and structures with this essential text. Featuring topics ranging from bionanoengineered materials to bio-inspired structures for spacecraft and bio-inspired robots, and covering issues such as motility, sensing, control and morphology, this highly illustrated text walks the reader through key scientific and practical engineering principles, discussing properties, applications and design. Presenting case studies for the design of materials and structures at the nano, micro, meso and macro-scales, and written by some of the leading experts on the subject, this is the ideal introduction to this emerging field for students in engineering and science as well as researchers.

In the multi-disciplinary field of wind energy, students and professionals can often be uncomfortable outside their own specialist areas. This essential textbook explains the key aspects of wind turbine technology and its application in a single readable text. Covering a broad range of multi-disciplinary topics, including everything from aerodynamics through to electrical and control theory, to structures, planning, economics, and policy, this reference is an excellent toolkit for undergraduate students, postgraduate students, and professionals in the field of wind energy. Key concepts, including more challenging ones such as rotational sampling of turbulence, vortex wake structures, and reactive power management, are explained using clear language and simplifying illustrations including experimental graphs, photos, and line drawings.

Using engaging prose, Mary E. Harrington introduces neuroscience students to the principles of scientific research including selecting a topic, designing an experiment, analyzing data, and presenting research. This new third edition updates and clarifies the book's wealth of examples while maintaining the clear and effective practical advice of the previous editions. New and expanded topics in this edition include techniques such as optogenetics and conditional transgenes as well as a discussion of rigor and reproducibility in neuroscience research. Extended coverage of descriptive and inferential statistics arms readers with the analytical tools needed to interpret data. Throughout, practical guidelines are provided on avoiding experimental design problems, presenting research including creating posters and giving talks, and using a '12-step guide' to reading scientific journal articles.

Data has become a social and political issue because of its capacity to reconfigure relationships between states, subjects, and citizens. This book explores how data has acquired such an important cap

Since the early 2000s, digital data has transformed the way we live and work. This timely book looks to big data analytics to understand this revolutionary change, unpacking the impact of big data ana

Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one

This book focuses primarily on the atomic force microscope and serves as a reference for students, postdocs, and researchers using atomic force microscopes for the first time. In addition, this book c

A clear introduction to lexical-functional grammar (LFG), this outstanding textbook sets out a formal approach to the study of language using a step-by-step approach and rich language data. Data from English and a range of other languages is used to illustrate the main concepts, allowing those students not accustomed to working with cross-linguistic data to familiarize themselves with the theory, while also enabling those interested in how the theory can account for more challenging data sets to extend their learning. Exercises ranging from simple technical questions to analyses of a data set, as well as a further resources section with a literature review complete each chapter. The book aims to equip readers with the skills to analyze new data sets and to begin to engage with the primary LFG literature.

A book of hilarious and fascinating answers to the most famous questions posed in pop songs, using data, facts, and science.What is love? How soon is now? How do you solve a problem like Maria? They'r

Teachers handle student data every day, but too often they are not provided with the guidance they need to protect student data privacy.

Methods and perspectives to model and measure productivity and efficiency have made a number of important advances in the last decade. Using the standard and innovative formulations of the theory and practice of efficiency and productivity measurement, Robin C. Sickles and Valentin Zelenyuk provide a comprehensive approach to productivity and efficiency analysis, covering its theoretical underpinnings and its empirical implementation, paying particular attention to the implications of neoclassical economic theory. A distinct feature of the book is that it presents a wide array of theoretical and empirical methods utilized by researchers and practitioners who study productivity issues. An accompanying website includes methods, programming codes that can be used with widely available software like MATLAB® and R, and test data for many of the productivity and efficiency estimators discussed in the book. It will be valuable to upper-level undergraduates, graduate students, and professional

This volume describes how controlled-source electromagnetic (CSEM) methods are used to determine the electrical conductivity and hydrocarbon content of the upper few kilometres of the Earth, on land and at sea. The authors show how the signal-to-noise ratio of the measured data may be maximised via suitable choice of acquisition and processing parameters and selection of subsequent data analysis procedures. Complete impulse responses for every electric and magnetic source and receiver configuration are derived, providing a guide to the expected response for real data. 1-D, 2-D and 3-D modelling and inversion procedures for recovery of Earth conductivity are presented, emphasising the importance of updating model parameters using complementary geophysical data and rock physics relations. Requiring no specialist prior knowledge of electromagnetic theory, and providing a step-by-step guide through the necessary mathematics, this book provides an accessible introduction for advanced studen

The book covers model building for different engineering structures and provides detailed presentations of extreme loading conditions. It considers the levels of reserve in existing structures, a

This open access book focuses on trends in educational inequality using twenty years of grade 8 student data collected from 13 education systems by the IEA’s Trends in Mathematics and Science Study (T

Using the most recent prison and jail suicide data the second edition of Suicide and Self-Harm in Prisons and Jails explores how the stress associated with arrest, sentencing, and incarceration can co

Engineered Bamboo Structures aims to foster the discussion about nature-based solutions to sustainability problems, and is of interest to senior policy makers, sustainability experts, and to private s

This book reviews the fundamentals of and the recent developments in life-cycle analysis and maintenance optimization for fatigue-sensitive structures. The book provides knowledge on life-cycle perfor

How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local.In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Lo

Functional Gaussian Approximation for Dependent Structures develops and analyses mathematical models for phenomena that evolve in time and influence each another. It provides a better understanding of

Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. The quantitative methods approach in this edition helps