Data Structures Using C

Learn how today's managers, investors and other business stakeholders effectively use accounting information and reports to guide business success with Warren/Jones/Farmer�s USING FINANCIAL ACC

By the award-winning former president of the Linguistic Society of America, this collection of some of John Russell Rickford's pioneering works shows how linguists in sociolinguistics and creole studies can benefit from utilizing data, theories and methods from each other, as they more frequently did in the 1960s and 1970s, when both subfields, in their modern forms at least, were getting started. The volume addresses fundamental sociolinguistic topics such as social class, style, fieldwork, speech community, sociolinguistic competence and language attitudes with data from Guyanese and other Caribbean creoles. Recurrent concepts are also considered including language versatility, variation and change, vernacular use, school success and criminal justice in African America and the Caribbean, using models, case studies and methodologies from sociolinguistics. Theoretical and applied scholars, students apprehensive about sociolinguistic fieldwork, and those considering dynamic methods like

Business Research Methods, 14e, contains stand-alone chapters that reflect research industry practices using real examples from all areas of business. In collaborations with over two dozen industry researchers, Schindler writes a real-world research methods book that distinguishes between big data analytics and small data with an emphasis on decision making. She eloquently covers ethical issues and their solutions, and has added more coverage of process models, sampling how-to, and data preparation.Conscious of the different learning styles of students, Schindler provides appropriate cues for both visual and verbal learners through the use of in-text exhibits, bolded key terms, conceptual photos throughout and research though-leader quotes in PowerPoints for each chapter. She also used various interim GreenBook Research Industry Trends (GRIT) reports to guide the research for this revision. The latest GRIT Report is based on the largest study of research suppliers and users ever conduc

本書是全球 C++ 經典權威參考書籍時隔 12 年，基於 C++11 標準的全新重大升級。標準庫提供了一組公共類和介面，極大地拓展了 C++ 語言核心功能。《C++ 標準庫（第2版）》詳細講解了每一標準庫元件，包括其設計目的和方法、複雜概念的剖析、實用而高效的程式設計細節、存在的陷阱、重要的類和函數，又輔以大量用 C++11 標準實現的實用代碼範例。除覆蓋全新元件、特性外，本書一如前版，重點著眼於

本書是針對零基礎讀者編寫的C++入門教材, 側重實戰, 結合流行有趣的熱點案例, 詳細地介紹了C++開發中的各項技術。全書分為16章, 內容包括快速步入C++的世界、C++語言基礎、使用常量和變量、使用運算符和表達式、程序流程控制結構、函數與函數調用、數值數組與字符數組、C++中的指針和引用、結構體/共用體和枚舉、C++中的類和對象、C++中的繼承與派生、C++中的多態與重載、C++中模板的應用、

Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure.Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value.

This timely book examines crucial developments in the field of privacy law, efforts by legal systems to impose their data protection standards beyond their borders and claims by states to assert sover

Prepare for clinical practice by "solving" 29 realistic case studies in nutrition and medical nutrition therapy. Using the medical record as its structure, you draw on the information provided (hospital admission data, laboratory test results, intake/output records, and physician and other health care provider progress notes) to solve the case. A series of questions follow the case, focusing on pathophysiology; assessment; clinical, nutritional, and behavioral outcomes; interventions; and appropriate follow-up for the patient.

The quantification of morphology through time is a vital tool in elucidating macroevolutionary patterns. Studies of disparity require intense effort but can provide insights beyond those gained using other methodologies. Over the last several decades, studies of disparity have proliferated, often using echinoderms as a model organism. Echinoderms have been used to study the methodology of disparity analyses and potential biases as well as documenting the morphological patterns observed in clades through time. Combining morphological studies with phylogenetic analyses or other disparate data sets allows for the testing of detailed and far-reaching evolutionary hypotheses.

Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book introduces you to the Wolfram programming langua

本書是編者在多年教學改革試點的基礎上，採用案例驅動式教學方式編寫的。本書基於C/C++的特點，從面向問題出發，給出了大量實用教學案例，引導學生進行基礎知識的學習，注重培養學生程序設計的思維方式和技巧，可為其學習後續課程打下紮實的基礎。 本書共12章。前8章主要介紹C語言相關的基礎知識和程序設計方法，其目的是使學生能迅速瞭解和掌握C語言的簡單運用。這部分內容包括：C/C++?語言程序設計概述、數據

This book brings together papers that offer conceptual analyses, highlight issues, propose solutions, and discuss practices regarding privacy, data protection and Artificial Intelligence. It is one of

《C++入門經典（第6版）》通過大量短小精悍的程序詳細闡述了基本的C++編程概念，包括C++程序的組成部分、變量、常量、表達式、語句、運算符、函數、循環、數組、指針、引用、函數和運算符重載、繼承、C++14新增功能、面向對象分析和設計、模板、錯誤和異常處理等主題。每章都提供了示例程序清單，並輔以示例輸出和代碼分析，以闡述該章介紹的主題。為加深讀者對所學內容的理解，每章末尾都提供了常見問題及其答案以及練習和測驗。《C++入門經典（第6版）》是針對C++初學者編寫的，不要求讀者有C語言方面的背景知識。《C++入門經典（第6版）》既可作為高等院校教授C++課程的教材，也可供初學者自學C++時使用。

The real world is perceived and broken down as data, models and algorithms in the eyes of physicists and engineers. Data is noisy by nature and classical statistical tools have so far been successful in dealing with relatively smaller levels of randomness. The recent emergence of Big Data and the required computing power to analyse them have rendered classical tools outdated and insufficient. Tools such as random matrix theory and the study of large sample covariance matrices can efficiently process these big data sets and help make sense of modern, deep learning algorithms. Presenting an introductory calculus course for random matrices, the book focusses on modern concepts in matrix theory, generalising the standard concept of probabilistic independence to non-commuting random variables. Concretely worked out examples and applications to financial engineering and portfolio construction make this unique book an essential tool for physicists, engineers, data analysts, and economists.

First published as What is Quantitative Longitudinal Data Analysis?, this title is now available as part of the Bloomsbury Research Methods series.Across the social sciences, there is widespread agree

First published as What is Quantitative Longitudinal Data Analysis?, this title is now available as part of the Bloomsbury Research Methods series.Across the social sciences, there is widespread agree

本書是高職高專學生學習C語言程序設計的理想教材。全書共分12章，主要內容包括： C語言概述、C語言程序數據描述與計算、順序結構程序設計、選擇結構程序設計、循環結構程序設計、數組、函數、指針、結構體與共用體、預處理命令、文件、位運算。全書以ANSI C語言標準為基礎，以培養學生C語言程序設計能力為主線，介紹了程序設計的基本概念、C語言的語法規則和常用的C語言程序設計技術。本書結合實際應用，在編者多年

The integrity of democratic elections, both in the United States and abroad, is an important problem. In this Element, we present a data-driven approach that evaluates the performance of the administration of a democratic election, before, during, and after Election Day. We show that this data-driven method can help to improve confidence in the integrity of American elections.

This is a practical guide to P-splines, a simple, flexible and powerful tool for smoothing. P-splines combine regression on B-splines with simple, discrete, roughness penalties. They were introduced by the authors in 1996 and have been used in many diverse applications. The regression basis makes it straightforward to handle non-normal data, like in generalized linear models. The authors demonstrate optimal smoothing, using mixed model technology and Bayesian estimation, in addition to classical tools like cross-validation and AIC, covering theory and applications with code in R. Going far beyond simple smoothing, they also show how to use P-splines for regression on signals, varying-coefficient models, quantile and expectile smoothing, and composite links for grouped data. Penalties are the crucial elements of P-splines; with proper modifications they can handle periodic and circular data as well as shape constraints. Combining penalties with tensor products of B-splines extends these

European archaeologists in the last two decades have worked to integrate a wide range of emerging digital tools to enhance the recording, analysis, and dissemination of archaeological data. These techniques have expanded and altered the data collected by archaeologists as well as their interpretations. At the same time archaeologists have expanded the capabilities of using these data on a large scale, across platforms, regions, and time periods, utilising new and existing digital research infrastructures to enhance the scale of data used for archaeological interpretations. This Element discusses some of the most recent, innovative uses of these techniques in European archaeology at different stages of archaeological work. In addition to providing an overview of some of these techniques, it critically assesses these approaches and outlines the recent challenges to the discipline posed by self-reflexive use of these tools and advocacy for their open use in cultural heritage preservation

Downscaling is a widely used technique for translating information from large-scale climate models to the spatial and temporal scales needed to assess local and regional climate impacts, vulnerability, risk and resilience. This book is a comprehensive guide to the downscaling techniques used for climate data. A general introduction of the science of climate modeling is followed by a discussion of techniques, models and methodologies used for producing downscaled projections, and the advantages, disadvantages and uncertainties of each. The book provides detailed information on dynamic and statistical downscaling techniques in non-technical language, as well as recommendations for selecting suitable downscaled datasets for different applications. The use of downscaled climate data in national and international assessments is also discussed using global examples. This is a practical guide for graduate students and researchers working on climate impacts and adaptation, as well as for polic

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

以C++語言描述過程化程序設計，包括緒論、程序設計基礎、程序控制結構、數組、函數、結構體、指針和鏈表等章節，同時兼顧C語言，引入大學生程序設計競賽的基礎知識，主要包括OJ在線做題結構、空間換時間思想、C++標準模板庫基礎、引用參數等。以OJ問題為核心與載體，結合C/C++程序設計的課程教學和大學生程序設計競賽是本教材的主要特點。本教材適用於作為普通高校本、專科計算機類及相關專業的C語言程序設計、C

《C和指針》提供與C語言編程相關的全面資源和深入討論。本書通過對指針的基礎知識和高級特性的探討，幫助程序員把指針的強大功能融入到自己的程序中去。全書共18章，覆蓋了數據、語句、操作符和表達式、指針、函數、數組、字符串、結構和聯合等幾乎所有重要的C編程話題。書中給出了很多編程技巧和提示，每章後面有針對性很強的練習，附錄部分則給出了部分練習的解答。《C和指針》適合C語言初學者和初級C程序員閱讀，也可作

Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.

《高等學校計算機應用規劃教材：Visual C# 2010程序設計教程》詳細介紹了Visual C# 2010程序設計的基礎知識、基本方法和應用技巧，共分14章，主要內容包括.NET平臺與Visual Studio 2010開發環境、C#語言基礎及面向對象程序設計、C#程序設計、C#&nbs

There is an increasing trend in teachers using graphic novels to get their students excited about reading and writing, using both original stories and adaptations of classic works by authors such as H

本書先從C++基礎知識開始, 全面細緻地介紹了程序設計及C++語言的發展史、使用C++語言進行數據輸入輸出以及C++面向過程的基礎語法知識; 接著詳細闡述了面向對象程序設計的基本特徵-封裝、繼承與多態, 以及這三大特徵的C++實現; 然後介紹了C++與數據類型無關的泛型編程基礎知識; 最後介紹C++異常處理機制。

《C/C++程序設計教程》系列教材分為面向過程和面向對象兩個分冊。面向過程分冊系統闡述了C++語言中過程化程序設計的思想、語法、方法。主要內容包括C++程序設計的基礎知識，基本數據類型和表達式，C++的程序控制語句，數組與函數，指針和引用，用戶定義數據類型、文件等內容。書中內容講解清晰，實例豐富，力避代碼複雜冗長，注重算法設計和程序設計思想。簡短的實例特別有助於初學者更好地理解、把握解決問題的精髓

There is an increasing trend in teachers using graphic novels to get their students excited about reading and writing, using both original stories and adaptations of classic works by authors such as H

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.

S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. This book focuses on statistical techniques, applies them to one or more data

Categorical data requires a different methodology and techniques typically not encountered in introductory statistics courses. This title presents various ways of extracting real-life conclusions from

Delivered in an accessible, concrete style, this groundbreaking work examines the diffraction of acoustic and electromagnetic waves from several classes of open structures with edges or cavities. It

Canonical Structures in Potential Theory is part of a two-volume set that describes a breakthrough in analytical techniques for determining diffraction from classes of canonical scatterers with edges

《C/C++算法從菜鳥到達人》用言簡意賅的語言介紹了算法的基本概念、五種經典的算法思想、重要的數據結構以及實踐中常用的幾種算法。本書中每章內容都包括了基本概念、實現方式、具體應用以及近年相關的面試真題。每一種算法思想中的面試真題都提供了相應的源代碼，可供讀者運行，從而達到理論與實踐並重的目的。《C/C++算法從菜鳥到達人》從算法基本分析到算法基本思想，再到具體應用及大量面試真題，內容全面，條理清楚

A range of designs that are suitable for all sewing abilities. The essence of this book is to keep it simple, fun, and easy to stitch. With that in mind most of the designs are sewn using only whole c

This groundbreaking book explores the new legal and economic challenges triggered by big data, and analyses the interactions among and between intellectual property, competition law, free speech, priv

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

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