Data Structures Using C

The Little Green Data Book is a pocket-sized ready reference on key environmental data for over 200 countries. Key indicators are organized under the headings of agriculture, forestry, biodiversity, o

"This book provides a central source of reference on the various data management techniques of large scale data processing and its technology application. This book presents chapters written by leadin

Need to learn C? Now you can! Forget old-fashioned C programming books that assume you're a computer hardware expert and teach frustrating, old-fashioned coding styles. If you know any language at all

C# 5.0 Programmer's Reference is a language tutorial and a reference guide that provides a comprehensive introduction to the latest C# language standard---C# 5.0---as well as its implementation in the

Written for students and researchers in statistics and biostatistics, this book presents a modern introduction to categorical data analysis, with R integrated into the text as a data analysis method a

Rather than the broad array of topics in most textbooks on business databases, Umanath and Scamell focus on data modeling and database design to provide a robust understanding of these core areas. Thi

This book provides a comprehensive overview of calibration and validation techniques for traffic simulation models. It details the data required as an input for the calibration and validation processe

Based on several years of detailed research into the architectural consequences of construction when exposed to industrialised production techniques and systems, System Structures in Architecture repr

Programming in C, Fourth Edition is a newly revised and updated edition of Steven Kochan's classic C programming tutorial: a book that has helped thousands of students master C over the past 25+ years

What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data--whether

What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data--whether

Traditional Database Management Systems are built on the concept of persistent data sets, that are stored reliably in stable storage and queried/updated several times throughout their lifetime. For se

“程序設計基礎”課程是高等學校計算機基礎課程中的核心課程，具有大學基礎課的性質。《C/C++程序設計基礎

Automatic detection and segmentation of anatomical structures in medical images are prerequisites to subsequent image measurements and disease quantification, and therefore have multiple clinical appl

"This book highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems"--

This book covers all aspects of operational modal analysis for civil engineering, from theoretical background to applications, including measurement hardware, software development, and data processing

The Group Method of Data Handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modeling has been developed and applied

C++ For Dummies, 7e teaches the reader C++ from the ground-up so beginners can become functional programmers, and intermediate readers can fine-tune their skills. As with all previous versions, the re

This Little Data Book presents tables for over 213 economies showing the most recent national data on key indicators of information and communications technology (ICT), including access, quality, affo

Variational Regularization of 3D Data provides an introduction to variational methods for data modelling and its application in computer vision. In this book, the authors identify interpolation as an

Strong data management knowledge and skills are a requirement for every DNP graduate. This unique text focuses on fostering the rigorous, meticulous data management skills that can improve care experi

Structures of Subjectivity: Explorations in Psychoanalytic Phenomenology and Contextualism, is a revised and expanded second edition of a work first published in 1984, which was the first systematic p

This SpringerBrief presents the concept of the smart grid architecture and investigates the security issues of the smart grid and the existing encrypted data query techniques. Unique characteristics o

Structures of Subjectivity: Explorations in Psychoanalytic Phenomenology and Contextualism, is a revised and expanded second edition of a work first published in 1984, which was the first systematic p

An expert guide to high performance computing architectures and how they relate to analytics and data miningWith the exponential growth of data comes an ever-increasing need to process and analyze so-

A pocket-size reference that has all the fundamental data that engineers need in their daily work. Taping and drilling charts, hole coordinate charts with common sizes already worked out, speeds/feeds

This book emphasizes computer programs that analyze protein structural data with program output generating data files and visual feedback in the form of a molecular display. The theoretical part of th

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm

The book discusses the topic of Big Data and Analytics, which is now more relevant and actual than ever before. It is written with a strong practitioner focus, not overly stressing the mathematical u

Providing readers with more quantitative insight into markets and a better overview of market structures, this book explains how the mathematical objects of finance relate to the business needs of mar

* This book addresses the problem of writing applications in a multi-language environment in which interfacing with Excel plays a vital role* The goal is to show how to write code in C#, C++ and VBA t

Fiber reinforced polymer (FRP) composites are increasingly used to repair and extend the service life of ageing or damaged infrastructure, including metallic structures. This important book summarizes

Many empirical researchers yearn for an econometric model that better explains their data. Yet these researchers rarely pursue this objective for fear of the statistical complexities involved in speci

這本書是一本C++的經典之作，為了讓台灣的讀者不會有遺珠之憾，博碩文化特地引進本書，並將之編為《名家名著》系列第05號書籍。兩位作者的來頭都不小(請見作者簡介)，而本書更是作者十年磨一劍的經典之作。 作者Koenig在C++的整個發展過程中具有舉足輕重的地位，是C++社群中最受尊敬的大師之一。他的文章以樸實而又精深的思想，準確而又權威的論述，，成為業界公認的『正統C++之聲』。本書命名為《Rumi

The authors explore options for solving the Navy’s “big data” challenge, considering changes across four dimensions: people, tools and technology, data and data architectures, and demand and demand ma

This book focuses on the application of earthquake engineering to offshore infrastructures. It covers a wide range of topics, from seismology to the seismic performance of arctic structures.

Among all the numerical methods in seismology, the finite-difference (FD) technique provides the best balance of accuracy and computational efficiency. This book offers a comprehensive introduction to FD and its applications to earthquake motion. Using a systematic tutorial approach, the book requires only undergraduate degree-level mathematics and provides a user-friendly explanation of the relevant theory. It explains FD schemes for solving wave equations and elastodynamic equations of motion in heterogeneous media, and provides an introduction to the rheology of viscoelastic and elastoplastic media. It also presents an advanced FD time-domain method for efficient numerical simulations of earthquake ground motion in realistic complex models of local surface sedimentary structures. Accompanied by a suite of online resources to help put the theory into practice, this is a vital resource for professionals and academic researchers using numerical seismological techniques, and graduate st

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes

With the onset of massive cosmological data collection through media such as the Sloan Digital Sky Survey (SDSS), galaxy classification has been accomplished for the most part with the help of citizen

Study of structures associated with shear zones is a crucial aspect to understand the deformation mechanism associated with such zones. Shear zones have been emphasized since it will lead to many late