Introduction to Python Programming And Data Structure By Liang

A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts.

Nearly all major planets and moons in our Solar System have been visited by spacecraft and the data they have returned has revealed the incredible diversity of planetary surfaces. Featuring a wealth of images, this textbook explores the geological evolution of the planets and moons. Introductory chapters discuss how information gathered from spacecraft is used to unravel the geological complexities of our Solar System. Subsequent chapters focus on current understandings of planetary systems. The textbook shows how planetary images and remote sensing data are analyzed through the application of fundamental geological principles. It draws on results from spacecraft sent throughout the Solar System by NASA and other space agencies. Aimed at undergraduate students in planetary geology, geoscience, astronomy and solar system science, it highlights the differences and similarities of the surfaces at a level that can be readily understood by non-specialists.

Some of the most eminent and enduring philosophical questions concern matters of priority: what is prior to what? What 'grounds' what? Is, for instance, matter prior to mind? Recently, a vivid debate has arisen about how such questions have to be understood. Can the relevant notion or notions of priority be spelled out? And how do they relate to other metaphysical notions, such as modality, truth-making or essence? This volume of new essays, by leading figures in contemporary metaphysics, is the first to address and investigate the metaphysical idea that certain facts are grounded in other facts. An introduction introduces and surveys the debate, examining its history as well as its central systematic aspects. The volume will be of wide interest to students and scholars of metaphysics.

The estimation of noisily observed states from a sequence of data has traditionally incorporated ideas from Hilbert spaces and calculus-based probability theory. As conditional expectation is the key concept, the correct setting for filtering theory is that of a probability space. Graduate engineers, mathematicians and those working in quantitative finance wishing to use filtering techniques will find in the first half of this book an accessible introduction to measure theory, stochastic calculus, and stochastic processes, with particular emphasis on martingales and Brownian motion. Exercises are included. The book then provides an excellent users' guide to filtering: basic theory is followed by a thorough treatment of Kalman filtering, including recent results which extend the Kalman filter to provide parameter estimates. These ideas are then applied to problems arising in finance, genetics and population modelling in three separate chapters, making this a comprehensive resource for b

Mäori, the indigenous language of New Zealand, is an endangered, minority language, with an important role in the culture and identity of the Mäori community. This comprehensive overview looks at all aspects of the Mäori language: its history, its dialects, its sounds and grammar, its current status and the efforts being made by the Mäori community and the state to ensure its survival. Central chapters provide an overall sketch of the structure of Mäori while highlighting those aspects which have been the subject of detailed linguistic analysis - particularly phonology (sound structure) and morphology (word structure). Though addressed primarily to those with some knowledge of linguistics, this book describes a language with a wealth of interesting features. It will interest anyone wishing to study the structure of a minority language, in fields as diverse as typology, sociolinguistics and linguistic anthropology, as well as all those interested in endangered languages and their preser

Your research has generated gigabytes of data and now you need to analyse it. You hate using spreadsheets but it is all you know, so what else can you do? This book will transform how you work with large and complex data sets, teaching you powerful programming tools for slicing and dicing data to suit your needs. Written in a fun and accessible style, this step-by-step guide will inspire and inform non-programmers about the essential aspects of Unix and Perl. It shows how, with just a little programming knowledge, you can write programs that could save you hours, or even days. No prior experience is required and new concepts are introduced using numerous code examples that you can try out for yourself. Going beyond the basics, the authors touch upon many broader topics that will help those new to programming, including debugging and how to write in a good programming style.

A systematic, unified treatment of orthogonal transform methods for signal processing, data analysis and communications, this book guides the reader from mathematical theory to problem solving in practice. It examines each transform method in depth, emphasizing the common mathematical principles and essential properties of each method in terms of signal decorrelation and energy compaction. The different forms of Fourier transform, as well as the Laplace, Z-, Walsh–Hadamard, Slant, Haar, Karhunen–Loève and wavelet transforms, are all covered, with discussion of how each transform method can be applied to real-world experimental problems. Numerous practical examples and end-of-chapter problems, supported by online Matlab and C code and an instructor-only solutions manual, make this an ideal resource for students and practitioners alike.

Taking a problem-based approach, the authors provide a practice-oriented and systematic introduction to both organic and inorganic structure determination by spectroscopic methods. This includes mass

Collecting, Managing, and Assessing Data Using Sample Surveys provides a thorough, step-by-step guide to the design and implementation of surveys. Beginning with a primer on basic statistics, the first half of the book takes readers on a comprehensive tour through the basics of survey design. Topics covered include the ethics of surveys, the design of survey procedures, the design of the survey instrument, how to write questions and how to draw representative samples. Having shown readers how to design surveys, the second half of the book discusses a number of issues surrounding their implementation, including repetitive surveys, the economics of surveys, web-based surveys, coding and data entry, data expansion and weighting, the issue of non-response, and the documenting and archiving of survey data. The book is an excellent introduction to the use of surveys for graduate students as well as a useful reference work for scholars and professionals.

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.

Collecting, Managing, and Assessing Data Using Sample Surveys provides a thorough, step-by-step guide to the design and implementation of surveys. Beginning with a primer on basic statistics, the first half of the book takes readers on a comprehensive tour through the basics of survey design. Topics covered include the ethics of surveys, the design of survey procedures, the design of the survey instrument, how to write questions and how to draw representative samples. Having shown readers how to design surveys, the second half of the book discusses a number of issues surrounding their implementation, including repetitive surveys, the economics of surveys, web-based surveys, coding and data entry, data expansion and weighting, the issue of non-response, and the documenting and archiving of survey data. The book is an excellent introduction to the use of surveys for graduate students as well as a useful reference work for scholars and professionals.

Perkovic's Introduction to Programming Using Python provides an imperative-first introduction to Python focusing on computer applications and the process of developing them. The text helps devel

Data Communication and Networking, First Edition provides a solid, thorough overview of data communications and networking for Engineering Technology programs. This text covers information for one or more courses spanning digital communication systems, computer communication and networks, and data communications. It is specifically written and designed for engineering and engineering technology learners by using a systematic and visual approach with abundant tables, illustrations, and practical examples making it easy for students to comprehend concepts. Content begins with data communication, signal conversion and issues in data transmission. Each chapter includes an introduction, summary of key information, as well as practice questions and problems with answers. The text also includes coverage of network and network standards, Ethernet, network components and Transmission Control and Internets Protocols (TCP/IP). The integration of applications and laboratory experiments are found t

The authors—noted scholars and researchers—provide an up-to-date guide to qualitative study design, data collection, analysis, and reporting. Step by step, the authors explain a range of methodologies

This book introduces basic and advanced concepts of categorical regression with a focus on the structuring constituents of regression, including regularization techniques to structure predictors. In addition to standard methods such as the logit and probit model and extensions to multivariate settings, the author presents more recent developments in flexible and high-dimensional regression, which allow weakening of assumptions on the structuring of the predictor and yield fits that are closer to the data. A generalized linear model is used as a unifying framework whenever possible in particular parametric models that are treated within this framework. Many topics not normally included in books on categorical data analysis are treated here, such as nonparametric regression; selection of predictors by regularized estimation procedures; ternative models like the hurdle model and zero-inflated regression models for count data; and non-standard tree-based ensemble methods. The book is accom

This self-contained text is an excellent introduction to Lie groups and their actions on manifolds. The authors start with an elementary discussion of matrix groups, followed by chapters devoted to th

An approachable and stimulating introduction to Anglo-Saxon literature, this book provides indispensable guidance for students on this important and rewarding area of literary studies. The chapters are clearly organized by topic and significant attention is paid to key individual works, including Beowulf, The Seafarer and writings by Bede. All textual quotations are translated into Modern English, with the original language texts carefully explained. The Introduction synthesizes and develops dominant approaches to Anglo-Saxon literature today, integrating Old English and Latin traditions, and placing the literature in larger historical and theoretical contexts. The structure, style and layout are attractive and user-friendly, including illustrative figures and textboxes, and Magennis provides guidance on resources for studying Anglo-Saxon literature, informing the reader of opportunities for investigating the subject further. Overall, the book enables a thorough understanding and appre

An approachable and stimulating introduction to Anglo-Saxon literature, this book provides indispensable guidance for students on this important and rewarding area of literary studies. The chapters are clearly organized by topic and significant attention is paid to key individual works, including Beowulf, The Seafarer and writings by Bede. All textual quotations are translated into Modern English, with the original language texts carefully explained. The Introduction synthesizes and develops dominant approaches to Anglo-Saxon literature today, integrating Old English and Latin traditions, and placing the literature in larger historical and theoretical contexts. The structure, style and layout are attractive and user-friendly, including illustrative figures and textboxes, and Magennis provides guidance on resources for studying Anglo-Saxon literature, informing the reader of opportunities for investigating the subject further. Overall, the book enables a thorough understanding and appre

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 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 book explains how molecular movement is determined by chemical structure, then how motion controls the physical and technological properties of polymer materials. Readers are introduced to the co

Now available to an English-speaking audience, this book is a comprehensive grammar of classical Nahuatl, the literary language of the Aztecs. It offers students of Nahuatl a complete and clear treatment of the language's structure, grammar and vocabulary. It is divided into 35 chapters, beginning with basic syntax and progressing gradually to more complex structures. Each grammatical concept is illustrated clearly with examples, exercises and passages for translation. A key is provided to allow students to check their answers. By far the most approachable textbook of Nahuatl available, this book will be an excellent teaching tool both for classroom use and for readers pursuing independent study of the language. It will be an invaluable resource to anthropologists, ethnographers, historians, archaeologists and linguists alike.

Margaret Atwood offers an immensely influential voice in contemporary literature. Her novels have been translated into over 22 languages and are widely studied, taught and enjoyed. Her style is defined by her comic wit and willingness to experiment. Her work has ranged across several genres, from poetry to literary and cultural criticism, novels, short stories and art. This Introduction summarizes Atwood's canon, from her earliest poetry and her first novel, The Edible Woman, through The Handmaid's Tale to The Year of the Flood. Covering the full range of her work, it guides students through multiple readings of her oeuvre. It features chapters on her life and career, her literary, Canadian and feminist contexts, and how her work has been received and debated over the course of her career. With a guide to further reading and a clear, well organised structure, this book presents an engaging overview for students and readers.

Margaret Atwood offers an immensely influential voice in contemporary literature. Her novels have been translated into over 22 languages and are widely studied, taught and enjoyed. Her style is defined by her comic wit and willingness to experiment. Her work has ranged across several genres, from poetry to literary and cultural criticism, novels, short stories and art. This Introduction summarizes Atwood's canon, from her earliest poetry and her first novel, The Edible Woman, through The Handmaid's Tale to The Year of the Flood. Covering the full range of her work, it guides students through multiple readings of her oeuvre. It features chapters on her life and career, her literary, Canadian and feminist contexts, and how her work has been received and debated over the course of her career. With a guide to further reading and a clear, well organised structure, this book presents an engaging overview for students and readers.

Alan Herries Wilson was a widely respected scientist and industrialist. Born in 1906, Wilson won a Cambridge scholarship at the age of 16. Just 20 years later, he was Fellow of the Royal Society. In 1963, Wilson became chairman of Glaxo, leading the company to great success by boldly engaging with the European markets. In this 1939 text, Wilson shows his aptitude for scientific thought and writing, providing a fluent and informative introduction to the electron theory of metals. His aim was to make clear the physical principles on which the theories of the 1930s were based, with chapters addressing the fundamental elements of electron theory and the structure, conductivity and thermal potential of metals and semi-conductors. Over 70 years after its initial publication, this book will continue to appeal to all readers with an admiration of Sir Alan Wilson, or an interest in the history of electron theory itself.

Programming Entity Framework, 2e walks the reader through their first introduction to Entity Framework and the Entity Data Model, then builds on this knowledge bit by bit throughout the book as the g

Friderich von Hûsen, twelfth-century Minnesinger, was a knight from Kreuznach in Rhine Franconia. He was in the entourage of the Emperor Friedrich Barbarossa, and died on a crusade to the Holy Land on 6th May 1190. His surviving poetry, consisting of a corpus of love poems and a group of crusading songs, is preserved in two manuscripts in Middle High German. Professor Mowatt's edition comprises a diplomatic reprint of both manuscripts, together with introduction, commentary and glossary. The introduction offers a theoretical justification for this procedure by dealing in detail with the bases of the text, what is known about the poet, and the principles of interpretation and textual emendation. Professor Mowatt adopts a literary critical standpoint; the contributions of scholarship and textual criticism must be subordinates to and regulated by a critical analysis of the structure of the poems under consideration.

Thoroughly revised for its second edition, this advanced textbook provides an introduction to the basic methods of computational physics, and an overview of progress in several areas of scientific computing by relying on free software available from CERN. The book begins by dealing with basic computational tools and routines, covering approximating functions, differential equations, spectral analysis, and matrix operations. Important concepts are illustrated by relevant examples at each stage. The author also discusses more advanced topics, such as molecular dynamics, modeling continuous systems, Monte Carlo methods, genetic algorithm and programming, and numerical renormalization. It includes many more exercises. This can be used as a textbook for either undergraduate or first-year graduate courses on computational physics or scientific computation. It will also be a useful reference for anyone involved in computational research.

This classic book is an introduction to dynamic programming, presented by the scientist who coined the term and developed the theory in its early stages. In Dynamic Programming, Richard E. Bellman int

From semiconductor fundamentals to semiconductor devices used in the telecommunications and computing industries, this 2005 book provides a solid grounding in the most important devices used in the hottest areas of electronic engineering. The book includes coverage of future approaches to computing hardware and RF power amplifiers, and explains how emerging trends and system demands of computing and telecommunications systems influence the choice, design and operation of semiconductors. Next, the field effect devices are described, including MODFETs and MOSFETs. Short channel effects and the challenges faced by continuing miniaturisation are then addressed. The rest of the book discusses the structure, behaviour, and operating requirements of semiconductor devices used in lightwave and wireless telecommunications systems. This is both an excellent senior/graduate text, and a valuable reference for engineers and researchers in the field.

JavaTech is a practical introduction to the Java programming language with an emphasis on the features that benefit technical computing. After presenting the basics of object-oriented programming in Java, it examines introductory topics such as graphical interfaces and thread processes. It goes on to review network programming and develops Web client-server examples for tasks such as monitoring remote devices. The focus then shifts to distributed computing with RMI. Finally, it examines how Java programs can access the local platform and interact with hardware. Topics include combining native code with Java, communication via serial lines, and programming embedded processors. An extensive web site supports the book with additional instructional materials. JavaTech demonstrates the ease with which Java can be used to create powerful network applications and distributed computing applications. It will be used as a textbook for programming courses, and by researchers who need to learn Jav

Structural operational semantics is a simple, yet powerful mathematical theory for describing the behaviour of programs in an implementation-independent manner. This book provides a self-contained introduction to structural operational semantics, featuring semantic definitions using big-step and small-step semantics of many standard programming language constructs, including control structures, structured declarations and objects, parameter mechanisms and procedural abstraction, concurrency, nondeterminism and the features of functional programming languages. Along the way, the text introduces and applies the relevant proof techniques, including forms of induction and notions of semantic equivalence (including bisimilarity). Thoroughly class-tested, this book has evolved from lecture notes used by the author over a 10-year period at Aalborg University to teach undergraduate and graduate students. The result is a thorough introduction that makes the subject clear to students and computi

Structural operational semantics is a simple, yet powerful mathematical theory for describing the behaviour of programs in an implementation-independent manner. This book provides a self-contained introduction to structural operational semantics, featuring semantic definitions using big-step and small-step semantics of many standard programming language constructs, including control structures, structured declarations and objects, parameter mechanisms and procedural abstraction, concurrency, nondeterminism and the features of functional programming languages. Along the way, the text introduces and applies the relevant proof techniques, including forms of induction and notions of semantic equivalence (including bisimilarity). Thoroughly class-tested, this book has evolved from lecture notes used by the author over a 10-year period at Aalborg University to teach undergraduate and graduate students. The result is a thorough introduction that makes the subject clear to students and computi

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

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

Many practical applications require the reconstruction of a multivariate function from discrete, unstructured data. This book gives a self-contained, complete introduction into this subject. It concentrates on truly meshless methods such as radial basis functions, moving least squares, and partitions of unity. The book starts with an overview on typical applications of scattered data approximation, coming from surface reconstruction, fluid-structure interaction, and the numerical solution of partial differential equations. It then leads the reader from basic properties to the current state of research, addressing all important issues, such as existence, uniqueness, approximation properties, numerical stability, and efficient implementation. Each chapter ends with a section giving information on the historical background and hints for further reading. Complete proofs are included, making this perfectly suited for graduate courses on multivariate approximation and it can be used to suppo

Revolutionary advances in imaging technology that provide high resolution, 3-D, non-invasive imaging of biological subjects have made biomedical imaging an essential tool in clinical medicine and biomedical research. Key technological advances include MRI, positron emission tomography (PET) and multidetector X-ray CT scanners. Common to all contemporary imaging modalities is the creation of digital data and pictures. The evolution from analog to digital image data is driving the rapidly expanding field of digital image analysis. Scientists from numerous disciplines now require in-depth knowledge of these complex imaging modalities. Introduction to the Science of Medical Imaging presents scientific imaging principles, introduces the major biomedical imaging modalities, reviews the basics of human and computer image analysis and provides examples of major clinical and research applications. Written by one of the world's most innovative and highly respected neuroradiologists, Introduction

Organised around problem solving, this book gently introduces the reader to computational simulation of biomedical transport processes, bridging fundamental theory with real-world applications. Using this book the reader will gain a complete foundation to the subject, starting with problem simplification, implementing it in software, through to interpreting the results, validation, and optimisation. Ten case studies, focusing on emerging areas such as thermal therapy and drug delivery, with easy to follow step-by-step instructions, provide ready-to-use templates for further applications. Solution process using the commonly used tool COMSOL Multiphysics is described in detail; useful biomedical property data and correlations are included; and background theory information is given at the end of the book for easy reference. A mixture of short and extended exercises make this book a complete course package for undergraduate and beginning graduate students in biomedical and biochemical eng

What is the nature of syntactic structure? Why do some languages have radically free word order ('nonconfigurationality')? Do parameters vary independently (the micro-view) or can they co-vary en masse (the macro-view)? Mirrors and Microparameters examines these questions by looking beyond the definitional criterion of nonconfigurationality - that arguments may be freely ordered, omitted, and split. Drawing on data from Kiowa, a member of the largely undescribed Kiowa-Tanoan language family, the book reveals that classically nonconfigurational languages can nonetheless exhibit robustly configurational effects. Reconciling the cooccurrence of such freedom with such rigidity has major implications for the Principles and Parameters program. This approach to nonconfigurational languages challenges widespread assumptions of linguistic theory and throws light on the syntactic structures, ordering principles, and nature of parametrization that comprise Universal Grammar.

This introductory text explores the theory of graph spectra: a topic with applications across a wide range of subjects, including computer science, quantum chemistry and electrical engineering. The spectra examined here are those of the adjacency matrix, the Seidel matrix, the Laplacian, the normalized Laplacian and the signless Laplacian of a finite simple graph. The underlying theme of the book is the relation between the eigenvalues and structure of a graph. Designed as an introductory text for graduate students, or anyone using the theory of graph spectra, this self-contained treatment assumes only a little knowledge of graph theory and linear algebra. The authors include many developments in the field which arise as a result of rapidly expanding interest in the area. Exercises, spectral data and proofs of required results are also provided. The end-of-chapter notes serve as a practical guide to the extensive bibliography of over 500 items.