Data Structures Using C

Data-driven analytics is enjoying unprecedented popularity among oil and gas professionals. A large number of reservoir engineering problems associated with geological storage of CO2 require developme

The need for HR professionals to understand and apply data analytics is greater than ever. Today’s successful HR professionals must ask insightful questions, understand key terms, and intelligen

Metals, Minds and Mobility seeks to integrate archaeometallurgical data with archaeological theory to address longstanding questions about mechanisms of exchange, mobility and social complexity in pre

This book deals with matrix methods of structural analysis for linearly elastic framed structures. It starts with background of matrix analysis of structures followed by procedure to develop force-dis

This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fie

Ten years after the publication of the first English edition of The History of the Theory of Structures, Dr. Kurrer now gives us a much enlarged second edition with a new subtitle: Searching for Equil

This study examines a key aspect of regulatory policy in the field of data protection, namely the frameworks governing the sharing of data for law enforcement purposes, both within the EU and between

The contributions to EURO-C 2018 review and discuss research advancements in computational modelling of cementitious materials, and assess the applicability and robustness of methods and models f

本書共分10章，分別介紹C程序編程初步、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、結構體與其他構造類型、文件，以及用Visual C++ 2010開發通訊錄管理程序綜合實例。 本書既可作為高等學校C程序設計教材，也可作為C程序設計愛好者的參考書，通過配套的C/C++程序設計學習與實驗系統進行學習，效果更佳。

As corruption continues to be a persistent problem in India, concerned citizens believe empowered police agencies independent of political control are effective ways to deal with corrupt officials and politicians. What is corruption and how is it facilitated? What are the appropriate agencies to combat corruption professionally in India? Why are these not effective in deterring corrupt practices? Are the alternative solutions to tackle corruption successful? This book seeks to engage with these questions, discuss and analyze them, and conduct a thorough analysis of law, bureaucratic organizations, official data, case studies and comparative international institutions. It analyzes vast data to argue that a corrupt state only maintains the façade of rule of law but will not permit any inquiry beyond that of individual deviance. Using criminological perspectives, it presents a novel mechanism, the 'Doctrine of Good Housekeeping', for public officials to combat and prevent corruption withi

This book addresses anti-fatigue manufacturing, analysis and test verification technologies for typical aircraft structures, including fastening holes, shot peening plates, different types of joints a

C# is an amazing language that's up to any challenge you can throw at it. As a C# developer, you also need to be up to the task.C# in Depth, Fourth Edition is the key to unlocking the powerful new fea

As a branch of engineering, biomolecular engineering is the process of manipulating the molecules by using the elements of engineering and making them more useful. It is also used to find solutions fo

Inspire students to pursue their own adventures in social research with this practical, hands-on introduction to data conceptualization, measurement, and association through active learning. Adventure

Information and how we manage, process and govern it is becoming increasingly important as organizations ride the wave of the big data revolution. Ethical Data and Information Management offers a prac

This book provides new theories, applications and quantitative methods in demography, population studies and statistics. It presents and applies data analysis, statistics and stochastic modeling techn

Machine learning and computerized data analysis is incredibly powerful, but humans still excel at "getting a sense of things"—the ability to recognize ill-defined or novel patterns or anomalies.

For 200 years, industry mastered iron, fire, strength and energy. Today, electronics shapes our everyday objects, integrating chips: computers, phones, keys, games, household appliances, etc. Data, so

The emerging genomic, epigenomic, sensing and image technologies will produce a deluge of unprecedentedly massive and highly-dimensional genomic, epigenomic, physiological, image and clinical data. Th

《Spring Data JPA從入門到精通》以Spring Boot為技術基礎，從入門到精通，由淺入深地介紹Spring Data JPA的使用。有語法，有實踐，有原理剖析。 《Spring Data JPA從入門到精通》分為12章，內容包括整體認識JPA、JPA基礎查詢方法、定義查詢方法、注解式查詢方法、@Entity實例裡面常用注解詳解、JpaRepository擴展詳解、JPA的MVC擴展

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to compl

This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the

這是一本C/C++語言應用能力進階的圖書，總結了一個典型的學習者第101個小時開始的學習路線和心得，你值得擁有。 本書內容包括夯實C語言核心基礎、提升你的編程功力、積累專業程序員開發經驗、理解C++精髓和以C++為母語五個部分，內容豐富，集開發技巧、成長經驗和學習資料於一體，具有很高的實用性和可讀性，對於初級程序員和學習編程語言的大學生大有裨益，可以幫助其掌握C/C++語言精髓，提高自己的程序

Geophysical Data Analysis: Diverse Inverse Theory, Fourth Edition is a revised and expanded introduction to inverse theory and tomography as it is practiced by geophysicists. It demonstrates the metho

This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, po

《Spring Data JPA從入門到精通》以Spring Boot為技術基礎，從入門到精通，由淺入深地介紹Spring Data JPA的使用。有語法，有實踐，有原理剖析。 《Spring Data JPA從入門到精通》分為12章，內容包括整體認識JPA、JPA基礎查詢方法、定義查詢方法、注解式查詢方法、@Entity實例裡面常用注解詳解、JpaRepository擴展詳解、JPA的MVC擴展REST支持、DataSource的配置、樂觀鎖、SpEL表達式在Spring Data裡面的應用、Spring Data Redis實現cacheable的實踐、IntelliJ IDEA加快開發效率、Spring Data REST簡單介紹等。 《Spring Data JPA從入門到精通》適合Java開發初學者、Java開發工程師、Java開發架構師閱讀，也適合高等院校和培訓學校相關專業的師生教學參考。

The widespread availability of high-quality, high-frequency data has revolutionised the study of financial markets. By describing not only asset prices, but also market participants' actions and interactions, this wealth of information offers a new window into the inner workings of the financial ecosystem. In this original text, the authors discuss empirical facts of financial markets and introduce a wide range of models, from the micro-scale mechanics of individual order arrivals to the emergent, macro-scale issues of market stability. Throughout this journey, data is king. All discussions are firmly rooted in the empirical behaviour of real stocks, and all models are calibrated and evaluated using recent data from Nasdaq. By confronting theory with empirical facts, this book for practitioners, researchers and advanced students provides a fresh, new, and often surprising perspective on topics as diverse as optimal trading, price impact, the fragile nature of liquidity, and even the re

Distill 100%–Usable Max-Profit Knowledge from Your Digital Data. Do It Now! Why hasn’t all that data delivered a whopping competitive advantage? Because you’ve barely begu

Bringing this best-selling textbook right up to date, the new edition uniquely integrates the theories and methods that drive the fields of biology, biotechnology and medicine, comprehensively covering both the techniques students will encounter in lab classes and those that underpin current key advances and discoveries. The contents have been updated to include both traditional and cutting-edge techniques most commonly used in current life science research. Emphasis is placed on understanding the theory behind the techniques, as well as analysis of the resulting data. New chapters cover proteomics, genomics, metabolomics, and bioinformatics, as well as data analysis and visualisation. Using accessible language to describe concepts and methods, and with a wealth of new in-text worked examples to challenge students' understanding, this textbook provides an essential guide to the key techniques used in current bioscience research.

Actuaries have access to a wealth of individual data in pension and insurance portfolios, but rarely use its full potential. This book will pave the way, from methods using aggregate counts to modern developments in survival analysis. Based on the fundamental concept of the hazard rate, Part I shows how and why to build statistical models, based on data at the level of the individual persons in a pension scheme or life insurance portfolio. Extensive use is made of the R statistics package. Smooth models, including regression and spline models in one and two dimensions, are covered in depth in Part II. Finally, Part III uses multiple-state models to extend survival models beyond the simple life/death setting, and includes a brief introduction to the modern counting process approach. Practising actuaries will find this book indispensable, and students will find it helpful when preparing for their professional examinations.

Bringing this best-selling textbook right up to date, the new edition uniquely integrates the theories and methods that drive the fields of biology, biotechnology and medicine, comprehensively covering both the techniques students will encounter in lab classes and those that underpin current key advances and discoveries. The contents have been updated to include both traditional and cutting-edge techniques most commonly used in current life science research. Emphasis is placed on understanding the theory behind the techniques, as well as analysis of the resulting data. New chapters cover proteomics, genomics, metabolomics, and bioinformatics, as well as data analysis and visualisation. Using accessible language to describe concepts and methods, and with a wealth of new in-text worked examples to challenge students' understanding, this textbook provides an essential guide to the key techniques used in current bioscience research.

Direct from Microsoft, this Exam Ref is the official study guide for the new Microsoft 70-778 Analyzing and Visualizing Data with Microsoft Power BI certification exam. Exam Ref 70-778: Anal

Your hands-on guide to Microsoft Visual C# fundamentals with Visual Studio 2017 Expand your expertise--and teach yourself the fundamentals of programming with the latest version of Visual C# with Visu

Presenting in depth discussions of various statistical models and methods needed for the analysis of medical, biological and biostatistics data, this book emphasizes the analysis of data when normal d

Analysis Techniques for non-Experimental Data: An Introduction discusses five different quasi-experimental study designs: propensity score matching; instrumental variables; the regression discontinuit

A hands-on guide to using statistics in health research, from planning, through analysis, and on to reporting A Practical Approach to Using Statistics in Health Research offers an easy to use, step-by

This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models

This is the first book devoted to the task of computing integrability structures by computer. The symbolic computation of integrability operator is a computationally hard problem and the book covers a

This book provides insight into the challenges in providing data authentication over wireless communication channels. The authors posit that established standard authentication mechanisms – for wired

Analytics is the new force driving business. Tools have been created to measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance ind