Data Structures

Writing Framework is a nine-book series that is dessingned to focus on practical writing skills for students at high beginner to advanced levels.Carefully leveled activities guide students to learn fundamental structures-from basic sentences to multi-paragraph essays.Students gradually build their confidence in writing with a wide range of fun and engaging topics. This series provides young writers the oppprtunity to develop 21st-century skills and a solid foundation in English writing.●Designed to create a framework for writing●Learn writing skills in real-world contexts from scratch●Help students develop critical thinking skills by the step-by-step guided writing process●Extensive practice activities from personal (emails, journals, letters) to academic (essays, analyzing data, applications) writing●Encourage students to be prepared for project-based 21st-century writing tasks

Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions. The authors highlight the versatility of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code. Readers can expect to master 128 algorithms in Python and discover the right way to tackle a problem and quickly implement a solution of low complexity. Classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm are featured alongside lesser known data structures like Fenwick trees and Knuth's dancing links. The book provides a framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. Python code included in the book

The massive volume of data generated in modern applications can overwhelm our ability to conveniently transmit, store, and index it. For many scenarios, building a compact summary of a dataset that is vastly smaller enables flexibility and efficiency in a range of queries over the data, in exchange for some approximation. This comprehensive introduction to data summarization, aimed at practitioners and students, showcases the algorithms, their behavior, and the mathematical underpinnings of their operation. The coverage starts with simple sums and approximate counts, building to more advanced probabilistic structures such as the Bloom Filter, distinct value summaries, sketches, and quantile summaries. Summaries are described for specific types of data, such as geometric data, graphs, and vectors and matrices. The authors offer detailed descriptions of and pseudocode for key algorithms that have been incorporated in systems from companies such as Google, Apple, Microsoft, Netflix and T

Recent observational results from space- and ground-based telescopes have demonstrated that a unified approach to the relationships between solar and stellar magnetism is necessary to advance our understanding of magnetic fields. The Proceedings of IAU Symposium 354 present recent results and discussions of emerging topics, including: magnetic field diagnostics using high-resolution observation; initial data from ALMA, Chinese Radio Spectroheliograph and other instruments; the detection of stellar magnetospheres; and the detailed mapping of magnetic fields on the surface of stars using new unique instrumentation. These observations stimulate comparisons of solar and stellar results, and improve our understanding of how surface magnetic structures and their evolution are related to the generation of magnetic fields by dynamos in solar and stellar interiors. This volume benefits graduate students and researchers interested in the recent advances and key problems of solar and stellar magn

This book, first published in 1988, reassesses the data on Church – accountant, manager and industrial engineer – and stresses the theoretical impact of his ideas upon contemporary business structures

Tackling structural geology problems today requires a quantitative understanding of the underlying physical principles, and the ability to apply mathematical models to deformation processes within the Earth. Accessible yet rigorous, this unique textbook demonstrates how to approach structural geology quantitatively using calculus and mechanics, and prepares students to interface with professional geophysicists and engineers who appreciate and utilize the same tools and computational methods to solve multidisciplinary problems. Clearly explained methods are used throughout the book to quantify field data, set up mathematical models for the formation of structures, and compare model results to field observations. An extensive online package of coordinated laboratory exercises enables students to consolidate their learning and put it into practice by analyzing structural data and building insightful models. Designed for single-semester undergraduate courses, this pioneering text prepares

Construction grammar (CxG) is a framework for syntactic analysis that takes constructions - pairings of form and meaning that range from the highly idiomatic to the very general - to be the building blocks of sentence meaning. Offering the first comprehensive introduction to CxG to focus on both English words and the constructions that combine them, this textbook shows students not only what the analyses of particular structures are, but also how and why those analyses are constructed, with each chapter taking the student step-by-step through the reasoning processes that yield the best description of a data set. It offers a wealth of illustrative examples and exercises, largely based on real language data, making it ideal for both self-study and classroom use. Written in an accessible and engaging way, this textbook will open up this increasingly popular linguistic framework to anyone interested in the grammatical patterns of English.

Construction grammar (CxG) is a framework for syntactic analysis that takes constructions - pairings of form and meaning that range from the highly idiomatic to the very general - to be the building blocks of sentence meaning. Offering the first comprehensive introduction to CxG to focus on both English words and the constructions that combine them, this textbook shows students not only what the analyses of particular structures are, but also how and why those analyses are constructed, with each chapter taking the student step-by-step through the reasoning processes that yield the best description of a data set. It offers a wealth of illustrative examples and exercises, largely based on real language data, making it ideal for both self-study and classroom use. Written in an accessible and engaging way, this textbook will open up this increasingly popular linguistic framework to anyone interested in the grammatical patterns of English.

Fundamental tenets of colonial historiography are challenged by showing that US capital investment into this colony did not lead to the disappearance of the small farmer. Contrary to well-established narratives, quantitative data show that the increasing integration of rural producers within the US market led to differential outcomes, depending on pre-existing land tenure structures, capital requirements to initiate production, and demographics. These new data suggest that the colonial economy was not polarized into landless Puerto Rican rural workers on one side and corporate US capitalists on the other. The persistence of Puerto Rican small farmers in some regions and the expansion of local property ownership and production disprove this socioeconomic model. Other aspects of extant Puerto Rican historiography are confronted in order to make room for thorough analyses and new conclusions on the economy of colonial Puerto Rico during the early twentieth century.

In this book, Gabriel Zuchtriegel explores and reconstructs the unwritten history of Classical Greece - the experience of nonelite colonial populations. Using postcolonial critical methods to analyze Greek settlements and their hinterlands of the fifth and fourth centuries BC, he reconstructs the social and economic structures in which exploitation, violence, and subjugation were implicit. He mines literary sources and inscriptions, as well as archaeological and data from excavations and field surveys, much of it published here for the first time, that offer new insights into the lives and status of nonelite populations in Greek colonies. Zuchtriegel demonstrates that Greece's colonial experience has far-reaching implications beyond the study of archaeology and ancient history. As reflected in foundational texts such as Plato's 'Laws' and Aristotle's 'Politics', the ideology that sustained Greek colonialism is still felt in many Western societies.

This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful distributions in statistical theory, including the normal, gamma, binomial, Poisson, and negative binomial. Strongly motivated by applications, it presents the essential theory and then demonstrates the theory's practical potential by connecting it with developments in areas like item response analysis, social network models, conditional independence and latent variable structures, and point process models. Extensions to incomplete data models and generalized linear models are also included. In addition, the author gives a concise account of the philosophy of Per Martin-Löf in order to connect statistical modelling with ideas in statistical physics, including Boltzmann's law. Written for graduate students and researchers with a background in basic statistical inference, the book includes a vast set of examples demonstrating models for applications and exerc

This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful distributions in statistical theory, including the normal, gamma, binomial, Poisson, and negative binomial. Strongly motivated by applications, it presents the essential theory and then demonstrates the theory's practical potential by connecting it with developments in areas like item response analysis, social network models, conditional independence and latent variable structures, and point process models. Extensions to incomplete data models and generalized linear models are also included. In addition, the author gives a concise account of the philosophy of Per Martin-Löf in order to connect statistical modelling with ideas in statistical physics, including Boltzmann's law. Written for graduate students and researchers with a background in basic statistical inference, the book includes a vast set of examples demonstrating models for applications and exerc

This tutorial reference serves as a coherent overview of various statistical and mathematical approaches used in brain network analysis, where modeling the complex structures and functions of the human brain often poses many unique computational and statistical challenges. This book fills a gap as a textbook for graduate students while simultaneously articulating important and technically challenging topics. Whereas most available books are graph theory-centric, this text introduces techniques arising from graph theory and expands to include other different models in its discussion on network science, regression, and algebraic topology. Links are included to the sample data and codes used in generating the book's results and figures, helping to empower methodological understanding in a manner immediately usable to both researchers and students.

Category theory is unmatched in its ability to organize and layer abstractions and to find commonalities between structures of all sorts. No longer the exclusive preserve of pure mathematicians, it is now proving itself to be a powerful tool in science, informatics, and industry. By facilitating communication between communities and building rigorous bridges between disparate worlds, applied category theory has the potential to be a major organizing force. This book offers a self-contained tour of applied category theory. Each chapter follows a single thread motivated by a real-world application and discussed with category-theoretic tools. We see data migration as an adjoint functor, electrical circuits in terms of monoidal categories and operads, and collaborative design via enriched profunctors. All the relevant category theory, from simple to sophisticated, is introduced in an accessible way with many examples and exercises, making this an ideal guide even for those without experien

Category theory is unmatched in its ability to organize and layer abstractions and to find commonalities between structures of all sorts. No longer the exclusive preserve of pure mathematicians, it is now proving itself to be a powerful tool in science, informatics, and industry. By facilitating communication between communities and building rigorous bridges between disparate worlds, applied category theory has the potential to be a major organizing force. This book offers a self-contained tour of applied category theory. Each chapter follows a single thread motivated by a real-world application and discussed with category-theoretic tools. We see data migration as an adjoint functor, electrical circuits in terms of monoidal categories and operads, and collaborative design via enriched profunctors. All the relevant category theory, from simple to sophisticated, is introduced in an accessible way with many examples and exercises, making this an ideal guide even for those without experien

This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles of mixed model analysis, including two-level and three-level structures, and covers continuous outcome variables, dichotomous outcome variables, and categorical and survival outcome variables. Emphasizing interpretation of results, the book develops the most important applications of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and mixed model predictions. All examples are analyzed with STATA, and an extensive overview and comparison of alternative software packages is provided. All datasets used in the book are available for download, so readers can re-analyze the examples to gain a strong understanding of the methods. Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other

This book represents the first comprehensive examination of templatic constructions - namely, linguistic structures involving unexpected linear stipulation - in both morphology and syntax from a typological perspective. It provides a state-of-the-art overview of the previous literature, develops a new typology for categorizing templatic constructions across grammatical domains, and examines their cross-linguistic variation by employing cutting-edge computational methods. It will be of interest to descriptive linguists seeking to gain a better sense of the diversity of the world's templatic constructions, theoretical linguists developing restrictive models of possible templates, and typologists interested in the attested range of patterns of linear stipulation and the application of new kinds of multivariate methods to cross-linguistic data. The new typological framework is illustrated in detail via a number of case studies involving languages of Africa, Europe, Asia, and the Americas,

This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles of mixed model analysis, including two-level and three-level structures, and covers continuous outcome variables, dichotomous outcome variables, and categorical and survival outcome variables. Emphasizing interpretation of results, the book develops the most important applications of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and mixed model predictions. All examples are analyzed with STATA, and an extensive overview and comparison of alternative software packages is provided. All datasets used in the book are available for download, so readers can re-analyze the examples to gain a strong understanding of the methods. Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other

The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.

The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.

Covering basic physical concepts, experimental methods, and applications, this book is an indispensable text on the fascinating science of magnetism, and an invaluable source of practical reference data. Accessible, authoritative, and assuming undergraduate familiarity with vectors, electromagnetism and quantum mechanics, this textbook is well suited to graduate courses. Emphasis is placed on practical calculations and numerical magnitudes - from nanoscale to astronomical scale - focussing on modern applications, including permanent magnet structures and spin electronic devices. Each self-contained chapter begins with a summary, and ends with exercises and further reading. The book is thoroughly illustrated with over 600 figures to help convey concepts and explain ideas clearly. Easily digestible tables and data sheets provide a wealth of useful information on magnetic properties. The thirty-eight principal magnetic materials, and many more related compounds, are treated in detail.

?Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging

本書以簡明易懂的方式介紹了數據結構與算法的基本知識，內容全面、系統。描述方式基於C/C++語言，對數據結構中容易混淆的問題進行了透徹的闡述，對每一個問題均給出了不同的解決方案。涵蓋入職面試中常見的數據結構與算法方面的問題，既可以作為數據結構課程的教材，也可以作為研究生考試的參考以及程序員的參考手冊。

A comprehensive compilation of the available experimental and theoretical vibrational data for organometallic compounds and its role in evaluating the structures, bonding, and properties of these key

Almost 50 years have passed since the famous papers of Hugo Rietveld from the late sixties where he describes a method for the refinement of crystal structures from neutron powder diffraction data. So

The world of dementia care can be a difficult one for carers to navigate, posing new challenges at every stage from diagnosis to end of life. In her ground-breaking investigation, rooted in original empirical data, Rosie Harding explores the regulatory and legal dimensions of caring for a person with dementia. By exploring carers' experiences of dementia care, she critiques the limitations of current approaches to health and social care regulation. This socio-legal work is a new contribution to the study of feminist care ethics, relationality, and vulnerability theory. Duties to Care argues that by understanding the relational contexts that shape everyday experiences of regulatory structures, we will better understand where law is operating to support carers, and where it adds to the difficulties they experience. Ultimately, the challenges that dementia poses will be addressed only if we find solutions that take account of the relationality of life, dementia, and law.

What are protest politics and social movement activism today? What are their main features? To what extent can street citizens be seen as a force driving social and political change? Through analyses of original survey data on activists themselves, Marco Giugni and Maria T. Grasso explain the character of contemporary protest politics that we see today - the diverse motivations, social characteristics, values and networks that draw activists to engage politically to tackle the pressing social problems of our time. The study analyzes left-wing protest culture as well as the characteristics of protest politics, from the motivations of street citizens to how they become engaged in demonstrations to the causes they defend and the issues they promote, from their mobilizing structures to their political attitudes and values, as well as other key aspects such as their sense of identity within social movements, their perceived effectiveness, and the role of emotions for protest participation.

Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications.Log-linear models play a key role in modern big data and

Learning JavaScript Data Structures and Algorithms 資料結構（data structure）是電腦系統中組織資料的一種高效方式，學習資料結構及演算法（algorithm）可說是解決各項程式設計問題的重要基礎。 本書起初先從 JavaScript 程式語言的基礎著手，接著便會進入重要的資料結構議題，包含陣列、佇列、堆疊以及鏈結串列等，並且深入探索集合

This book uses institutional data to examine and analyze the current governance structures of Multilateral Financial Institutions (MFIs) with the ultimate goal of reforming MFI governance models to be

Expand your Python skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-le

Get to grips with the principles and practice of signal processing used in mobile communications systems. Focusing particularly on speech, video, and modem signal processing, pioneering experts employ a detailed, top-down analytical approach to outline the network architectures and protocol structures of multiple generations of mobile communications systems, identify the logical ranges where media and radio signal processing occur, and analyze the procedures for capturing, compressing, transmitting, and presenting media. Chapters are uniquely structured to show the evolution of network architectures and technical elements between generations up to and including 5G, with an emphasis on maximizing service quality and network capacity through re-using existing infrastructure and technologies. Implementation examples and data taken from commercial networks provide an in-depth insight into the operation of real mobile communications systems, including GSM, cdma2000, W-CDMA, LTE, and LTE-A,

This book examines security in three cities that suffer from chronic violence: Rio de Janeiro, Brazil; Medellin, Colombia; and Kingston, Jamaica. In each, democratic states contend with subnational armed groups that dominate territory and play important roles in politics even as they contribute to fear and insecurity. Through a nested three-city, six-neighborhood analysis of the role of criminal groups in governance, this research provides a deep understanding of the impact of crime on political experience. Neighborhoods controlled by different types of armed actors, operating in the same institutional context, build alliances with state officials and participate in political life through the structures created by these armed actors. The data demonstrates the effects criminal dominance can have on security, civil society, elections, and policymaking. Far from reflecting a breakdown of order, varying types of criminal groups generate different local lived political experiences.

There is growing interest in Israel's political system from all parts of the world. This Handbook provides a unique comprehensive presentation of political life in Israel from the formative pre-state period to the present. The themes covered include: political heritage and the unresolved issues that have been left to fester; the institutional framework (the Knesset, government, judiciary, presidency, the state comptroller and commissions of inquiry); citizens' political participation (elections, political parties, civil society and the media); the four issues that have bedevilled Israeli democracy since its establishment (security, state and religion, the status of Israel's Arab citizens and economic inequities with concomitant social gaps); and the contours of the political culture and its impact on Israel's democracy. The authors skilfully integrate detailed basic data with an analysis of structures and processes, making the Handbook accessible to both experts and those with a genera

資料結構(Data Structures)是資訊學科中的核心課程之一，也是基礎和必修的科目。本書確實闡述資料結構的每一主題，並以圖文並茂的方式表達之，最能達到教學與學習事半功倍的效果。每一章的每一小節幾乎都附有“練習題”，讓使用者能藉由測驗，評量自己對此節的了解程度；而書末亦附有這些練習題的參考解答可供對答使用。章末再附上“動動腦時間”，這些題目取自歷屆的高考或研究所考試題目，抑或是筆者自行設計的

This thought-provoking monograph analyzes the longstanding political and economic structures underlying entrenched health inequities in rural areas worldwide. Bypassing familiar data on the subject, i

Fossils are essential to the reconstruction of the evolution of life and episodes in Earth history. Knowledge of biomineralization - the processes associated with the formation of mineralized biological structures - is essential to properly evaluate data derived from fossils. This book emphasizes skeletal formation and fossilization in a geologic framework in order to understand evolution, relationships between fossil groups, and the use of biomineral materials as geochemical proxies for understanding ancient oceans and climates. The focus is on shells and skeletons of calcareous organisms, and the book explores the fine structures and mode of growth of the characteristic crystalline units, taking advantage of most recent physical methodological advances. The book is richly illustrated and will be of great interest to advanced students and researchers in paleontology, Earth history, evolution, sedimentology, geochemistry, and materials science.

Functional languages help developers support concurrency by encouraging immutable data structures that can be passed between threads without having to worry about a shared state, all while avoiding si

In this book, Gabriel Zuchtriegel explores and reconstructs the unwritten history of Classical Greece - the experience of nonelite colonial populations. Using postcolonial critical methods to analyze Greek settlements and their hinterlands of the fifth and fourth centuries BC, he reconstructs the social and economic structures in which exploitation, violence, and subjugation were implicit. He mines literary sources and inscriptions, as well as archaeological and data from excavations and field surveys, much of it published here for the first time, that offer new insights into the lives and status of nonelite populations in Greek colonies. Zuchtriegel demonstrates that Greece's colonial experience has far-reaching implications beyond the study of archaeology and ancient history. As reflected in foundational texts such as Plato's 'Laws' and Aristotle's 'Politics', the ideology that sustained Greek colonialism is still felt in many Western societies.

Astronomy has become data-driven in ways that are both quantitatively and qualitatively different from the past: data structures are not simple; procedures to gain astrophysical insights are not obvious; and the informational content of the data sets is so high that archival research and data mining are not merely convenient, but obligatory, as researchers who obtain the data can only extract a small fraction of the science enabled by it. IAU Symposium 325 took place at a crucial stage in the development of the field, when many efforts have carried significant achievements, but the widespread groups have just begun to effectively communicate across specialties, to gather and assimilate their achievements, and to consult cross-disciplinary experts. Bringing together astronomers involved in surveys and large simulation projects, computer scientists, data scientists, and companies, this volume showcases their fruitful exchange of ideas, methods, software, and technical capabilities.