Introduction to Python Programming And Data Structure By Liang

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

Innovative and evidence-based, this introduction to the main concepts and issues in language teaching uses a 'key questions' structure, enabling the reader to understand how these questions have been addressed by researchers previously, and how the findings inform language teaching practices. Grounded in research, theory and empirical evidence, the textbook provides students, practitioners and teachers with a complete introductory course in language teaching. Written in a clear and user-friendly style, and avoiding use of jargon, the book draws upon real-life teaching experiences and scenarios to provide practical advice. A glossary of key terms, questions for discussion and further reading suggestions are included. The book is perfectly suited to language teaching modules on English language, TESOL and applied linguistics courses.

This book offers translations of ten rhetorical declamations of the fourth-century AD sophist Libanius of Antioch and some related texts, almost all appearing for the first time in a modern language. In these works the declaimer impersonates such mythological or historical figures as Poseidon, Paris, Achilles, and Orestes, either in court (as prosecutor or defendant) or by trying to persuade his audience to take a course of action. The texts illustrate the sophist's eloquence and had an educational purpose in the schools, but were also delivered before adult audiences. They also put the Hellenic past on display for audiences of the Greek East in the Roman Empire. The annotated translations are accompanied by analyses of their themes, structure, and argumentation.

Seismic data must be interpreted using digital signal processing techniques in order to create accurate representations of petroleum reservoirs and the interior structure of the Earth. This book provides an advanced overview of digital signal processing (DSP) and its applications to exploration seismology using real-world examples. The book begins by introducing seismic theory, describing how to identify seismic events in terms of signals and noise, and how to convert seismic data into the language of DSP. Deterministic DSP is then covered, together with non-conventional sampling techniques. The final part covers statistical seismic signal processing via Wiener optimum filtering, deconvolution, linear-prediction filtering and seismic wavelet processing. With over sixty end-of-chapter exercises, seismic data sets and data processing MATLAB codes included, this is an ideal resource for electrical engineering students unfamiliar with seismic data, and for Earth Scientists and petroleum pr

This book provides a self-contained introduction to the simulation of flow and transport in porous media, written by a developer of numerical methods. The reader will learn how to implement reservoir simulation models and computational algorithms in a robust and efficient manner. The book contains a large number of numerical examples, all fully equipped with online code and data, allowing the reader to reproduce results, and use them as a starting point for their own work. All of the examples in the book are based on the MATLAB Reservoir Simulation Toolbox (MRST), an open-source toolbox popular popularity in both academic institutions and the petroleum industry. The book can also be seen as a user guide to the MRST software. It will prove invaluable for researchers, professionals and advanced students using reservoir simulation methods. This title is also available as Open Access on Cambridge Core.

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.

Why do political elites in authoritarian regimes, even within the same country, engage in different levels of predatory behavior, whereby some foster vibrant capitalism and others suffocate the innovative private sector? This book proposes a theory of localized property-rights protection under authoritarianism. By combining in-depth fieldwork with archival research and quantitative data analysis, Qi Zhang and Mingxing Liu discuss the post-1949 conflicts between dominant and marginalized factions in the Chinese province of Zhejiang. These conflicts resulted in systemic vulnerabilities among the marginalized local cadres, thus motivating them to form alliances with their grassroots constituents. They therefore provided their constituents with quasi-public goods, such as property-rights protection, to increase their odds of political survival. Zhang and Liu argue that this framework can apply both to the Mao era and to the current reform era, and it also can be extended beyond China to a

A comprehensive introduction to how people learn second languages (L2s), this textbook approaches the topic through five problems the L2 learner has to solve: 'breaking into' the L2; associating forms with meanings; learning sentence structure; learning phrasal and sentential meaning; and learning the use of the L2 in context. These problems are linked throughout to the L2 acquisition of lexis, morphology, syntax, semantics, phonetics/phonology and language-use in a reader-friendly way, using key studies to build a comprehensive picture of how L2s are learned. 'In a nutshell' summaries of chapter sections provide helpful signposts to the developing argument, whilst end-of-chapter activities encourage the reader to reflect on the ideas presented, analyse data and think creatively about the problems encountered. The roles of innate knowledge, input, and the age at which learning starts are also considered. This essential textbook will enable students to think objectively about language,

Over the past twenty-five years, mathematical concepts associated with geometric phases have come to occupy a central place in our modern understanding of the physics of electrons in solids. These 'Berry phases' describe the global phase acquired by a quantum state as the Hamiltonian is changed. Beginning at an elementary level, this book provides a pedagogical introduction to the important role of Berry phases and curvatures, and outlines their great influence upon many key properties of electrons in solids, including electric polarization, anomalous Hall conductivity, and the nature of the topological insulating state. It focuses on drawing connections between physical concepts and provides a solid framework for their integration, enabling researchers and students to explore and develop links to related fields. Computational examples and exercises throughout provide an added dimension to the book, giving readers the opportunity to explore the central concepts in a practical and engag

This lively, compact textbook introduces readers to semantics - the study of how we construct meaning in communication. Easy to follow, and with a clear structure, it explains formal terminology in a simple and understandable way, without using formal notation or logic, and draws on dozens of examples from up-to-date empirical research findings. Offering a tight integration of classic semantic issues with cognitive science, Javier Valenzuela provides a complete and coherent overview of the main topics in this area, including a review of the empirical methods used in semantic theorizing, and discussions of both non-traditional and new topics, such as how meaning is acquired by children and how meaning is constructed cross-linguistically. Featuring illustrations, exercises, activities, suggestions for further reading, highlighted key terms, and a comprehensive glossary, this book is accessible to beginners and undergraduates, including those from non-linguistic backgrounds with no prior

This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one

Using an innovative approach, this book focuses on a widely debated area of phonetics and phonology: intonation, and specifically its relation to metrics, its interface with syntax, and whether it can be attributed more to phonetics or phonology, or equally to both. Drawing on data from six Romance languages (French, Italian, Spanish, Portuguese, Catalan and Romanian), whose rich intonation patterns have long been of interest to linguists, Philippe Martin challenges the assumptions of traditional phonological approaches, and re-evaluates the data in favour of a new usage-based model of intonation. He proposes a unified description of the sentence prosodic structure, focusing on the dynamic and cognitive aspects of both production and perception of intonation in speech, leading to a unified grammar of Romance languages' sentence intonation. This book will be welcomed by researchers and advanced students in phonetics and phonology.

Using data from a variety of languages such as Blackfoot, Halkomelem, and Upper Austrian German, this book explores a range of grammatical categories and constructions, including tense, aspect, subjunctive, case and demonstratives. It presents a new theory of grammatical categories - the Universal Spine Hypothesis - and reinforces generative notions of Universal Grammar while accommodating insights from linguistic typology. In essence, this new theory shows that language-specific categories are built from a small set of universal categories and language-specific units of language. Throughout the book the Universal Spine Hypothesis is compared to two alternative theories - the Universal Base Hypothesis and the No Base Hypothesis. This valuable addition to the field will be welcomed by graduate students and researchers in linguistics.

The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. Understanding and processing this new type of data to glean actionable patterns presents challenges and opportunities for interdisciplinary research, novel algorithms and tool development. Social Media Mining integrates social media, social network analysis, and data mining to provide a coherent platform to understand the basics and potentials of social media mining. It introduces the unique problems arising from social media data and presents fundamental concepts, emerging issues, and effective algorithms for network analysis and data mining. Suitable for use in advanced undergraduate and beginning graduate courses as well as professional short courses, the text contains exercises of different degrees of difficulty that improve understanding

This book provides a comprehensive and up to date treatment of theory and practical implementation in Register-based statistics. It begins by defining the area, before explaining how to structure suc

This modern introduction to seismic data processing in both exploration and global geophysics demonstrates practical applications through real data and tutorial examples. The underlying physics and mathematics of the various seismic analysis methods are presented, giving students an appreciation of their limitations and potential for creating models of the sub-surface. Designed for a one-semester course, this textbook discusses key techniques within the context of the world's ever increasing need for petroleum and mineral resources - equipping upper undergraduate and graduate students with the tools they need for a career in industry. Examples presented throughout the text allow students to compare different methods and can be demonstrated using the instructor's software of choice. Exercises at the end of sections enable students to check their understanding and put the theory into practice and are complemented by solutions for instructors and additional case study examples online to c

"Introduction The origins of modern day international assessments of student skills are often traced back to the First International Mathematics Study (FIMS) conducted by the International Association

By providing a solid theoretical basis, this book introduces modern finance to readers, including students in science and technology, who already have a good foundation in quantitative skills. It combines the classical, decision-oriented approach and the traditional organization of corporate finance books with a quantitative approach that is particularly well suited to students with backgrounds in engineering and the natural sciences. This combination makes finance much more transparent and accessible than the definition-theorem-proof pattern that is common in mathematics and financial economics. The book's main emphasis is on investments in real assets and the real options attached to them, but it also includes extensive discussion of topics such as portfolio theory, market efficiency, capital structure and derivatives pricing. Finance equips readers as future managers with the financial literacy necessary either to evaluate investment projects themselves or to engage critically with

The definitive introduction to data analysis in quantitative proteomics.This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistica

A practical step-by-step introduction to the analysis of English grammar, taking an integrated approach to function and structure.

Shows how approximate dynamic programming can be used to design a family of adaptive optimal control algorithms that converge in real time to optimal control solutions by measuring data along the syst

As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.

Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.

This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random Forests™, neural nets, suppor

This is an introduction to programming using Microsoft's Visual Basic.NET 2010, intended for novice programmers with little or no programming experience or no experience with Visual Basic. The text emphasizes programming logic and good programming techniques with generous explanations of programming concepts written from a non-technical point of view. It stresses input, processing, and output and sequence, selection, and repetition in code development. File I/O and arrays are included. Later chapters introduce objects, event programming, and databases. By taking a slow and steady approach to programming ideas, this book builds new concepts from what the reader has already learned. VB tips and quips inject both humor and insight. The book includes numerous programming examples and exercises, case studies, tutorials, and 'fixing a program' sections for an in-depth look at programming problems and tools. Quizzes and review questions throughout each chapter get students to think about the

Standard German is spoken by approximately 95 million people worldwide. This book provides an introduction to the linguistic structure of standard German that is rich in descriptive detail and grounded in modern linguistic theory. It describes the main linguistic features: the sounds, structure and formation of words, structure of sentences, and meaning of words and sentences. It surveys the history of the language, the major dialects, German in Austria and Switzerland, as well as sociolinguistic issues such as style, language and gender, youth language, and English influence on German. Prior knowledge of German is not required, as glosses and translations of the German examples are provided. Each chapter includes exercises designed to give the reader practical experience in analyzing the language. It is an essential learning tool for undergraduate and graduate students in German and linguistics.

FPGA Prototyping Using Verilog Examples will provide you with a hands-on introduction to Verilog synthesis and FPGA programming through a “learn by doing” approach. By following the clear, easy-to-und

Secondary data play an increasingly important role in epidemiology and public health research and practice; examples of secondary data sources include national surveys such as the BRFSS and NHIS, claims data for the Medicare and Medicaid systems, and public vital statistics records. Although a wealth of secondary data is available, it is not always easy to locate and access appropriate data to address a research or policy question. This practical guide circumvents these difficulties by providing an introduction to secondary data and issues specific to its management and analysis, followed by an enumeration of major sources of secondary data in the United States. Entries for each data source include the principal focus of the data, years for which it is available, history and methodology of the data collection process, and information about how to access the data and supporting materials, including relevant details about file structure and format.

Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to determine the state of a complex physical system, for instance as a preliminary step in making predictions about the system's behaviour. The topic has assumed increasing importance in fields such as numerical weather prediction where conscientious efforts are being made to extend the term of reliable weather forecasts beyond the few days that are presently feasible. This book is designed to be a basic one-stop reference for graduate students and researchers. It is based on graduate courses taught over a decade to mathematicians, scientists, and engineers, and its modular structure accommodates the various audience requirements. Thus Part I is a broad introduction to the history, development and philosophy of data assimilation, illustrated by examples; Part II considers the classical, static approaches, both linear and nonlinear; and Part III describes

This introductory textbook on mathematical biology focuses on discrete models across a variety of biological subdisciplines. Biological topics treated include linear and non-linear models of populations, Markov models of molecular evolution, phylogenetic tree construction, genetics, and infectious disease models. The coverage of models of molecular evolution and phylogenetic tree construction from DNA sequence data is unique among books at this level. Computer investigations with MATLAB are incorporated throughout, in both exercises and more extensive projects, to give readers hands-on experience with the mathematical models developed. MATLAB programs accompany the text. Mathematical tools, such as matrix algebra, eigenvector analysis, and basic probability, are motivated by biological models and given self-contained developments, so that mathematical prerequisites are minimal.

The need to transmit and store massive amounts of data reliably and without error is a vital part of modern communications systems. Error-correcting codes play a fundamental role in minimising data corruption caused by defects such as noise, interference, crosstalk and packet loss. This book provides an accessible introduction to the basic elements of algebraic codes, and discusses their use in a variety of applications. The author describes a range of important coding techniques, including Reed-Solomon codes, BCH codes, trellis codes, and turbocodes. Throughout the book, mathematical theory is illustrated by reference to many practical examples. The book was first published in 2003 and is aimed at graduate students of electrical and computer engineering, and at practising engineers whose work involves communications or signal processing.

Provides an innovative hands-on introduction to techniques for specifying the behaviour of software components. It is primarily intended for use as a text book for a course in the 2nd or 3rd year of Computer Science and Computer Engineering programs, but it is also suitable for self-study. Using this book will help the reader improve programming skills and gain a sound foundation and motivation for subsequent courses in advanced algorithms and data structures, software design, formal methods, compilers, programming languages, and theory. The presentation is based on numerous examples and case studies appropriate to the level of programming expertise of the intended readership. The main topics covered are techniques for using programmer-friendly assertional notations to specify, develop, and verify small but non-trivial algorithms and data representations, and the use of state diagrams, grammars, and regular expressions to specify and develop recognizers for formal languages.

This is a genuine introduction to plane algebraic curves from a geometric viewpoint, designed as a first text for undergraduates in mathematics, or for postgraduate and research workers in the engineering and physical sciences. The book contains several hundred worked examples and exercises, making it suitable for adoption as a course text. From the lines and conics of elementary geometry the reader proceeds to general curves in the real affine plane, with excursions to more general fields to illustrate applications, such as number theory. By adding points at infinity the affine plane is extended to the projective plane, yielding a natural setting for curves and providing a flood of illumination into the underlying geometry. A minimal amount of algebra leads to the famous theorem of Bezout, whilst the ideas of linear systems are used to discuss the classical group structure on the cubic.