Data Structures Using C

Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. The quantitative methods approach in this edition helps

A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an expone

Large datasets tend to be distributed, non-uniform, and prone to change. Dask simplifies the process of ingesting, filtering, and transforming data, reducing or eliminating the need for a heavyweight

AN UP-TO-DATE, COMPREHENSIVE TREATMENT OF A CLASSIC TEXT ON MISSING DATA IN STATISTICS The topic of missing data has gained considerable attention in recent decades. This new edition by two ac

《C++從入門到項目實踐(超值版)》採取“基礎知識→核心應用→核心技術→高級應用→行業應用→項目實踐”結構和“由淺入深，由深到精”的學習模式進行講解。全書共23章，首先講解了C++語言的基本概念、C++程序結構、常量與變量、數據類型與聲明、運算符與表達式、循環與轉向語句、數組、指針、函數等基礎知識，還介紹了類和對象、C++的命名空間與作用域、繼承與派生、多態與重載、輸入與輸出、C++文件操作、C+

本書內容簡介：使用現代C++編寫可維護、可擴展和持久的軟件。對於每一個對好的C++代碼感興趣的開發人員、軟件架構師或團隊領導來說，這本書都是必須的，因此也想節省開發成本。如果你想自學編寫整潔C++代碼，本書正是你所需要的。編寫它是為了幫助所有級別的C++開發人員，並通過示例展示如何編寫可理解的、靈活的、可維護的和高效的C++代碼。即使是經驗豐富的C++開發人員，在本書中也會發現一些有用的信息和數據。

本書共10章,其中,第1章介紹了C、C++的基礎知識,包括關鍵字volatile、數組與指針、編譯模式等;第2～9章介紹了C++基礎與進階語法,包括數據類型、引用、名字空間、左值與右值,以及內存管理,面向對象的封裝、繼承與多態,異常處理,C++ 0x新標準等內容;第10章給出了業界常見的編碼規範與建議。本書不僅介紹了C++的傳統語法,而且還融入了C++最新的變革內容,旨在幫助讀者對C++ 有一個更

C語言的圖書多如牛毛，但絕大多數都很單純，無外乎語法、技巧或者實例。C語言的教與學，遠不止語法和示例這麼簡單。語言是應用的工具，只能深入到歷史和實際應用的土壤裡，從現實中尋找這門計算機語言的定位，學習它的語法，認識它所能解決的現實問題。所以，這本書面向C語言的初學者，結合最新的C語言標準9899:2011，不但介紹了和C語言本身有關的各個方面：詞法元素、類型、聲明、函數、表達式、語句、預處理、標準

Designed for engineers, mathematicians, computer scientists, financial analysts, and anyone interested in using numerical linear algebra, matrix theory, and vector calculus concepts to maximize effici

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

For a couple of years, more and more micro-econometric studies in international trade use data on exports and imports on goods that are based on transaction level data collected by the customs. These

Covering a key topic due to growing research into the role of signaling mechanisms in toxicology, this book focuses on practical approaches for informatics, big data, and complex data sets. Combines

Expand the sharing movement to your community with Little Free Libraries and Tiny Sheds—your complete source for building tiny sharing structures, including plans for 12 different

Many industry experts consider unsupervised learning the next AI frontier, one that may hold the key to general artificial intelligence. Armed with the conceptual knowledge in this book, data scientis

A hands-on guide to using Excel in the business context First published in 2012, Using Excel for Business and Financial Modelling contains step-by-step instructions of how to solve common business pro

Beloved by children and adults worldwide, the writings of C. S. Lewis have a broad and enduring appeal. Although he is best known for the iconic Chronicles of Narnia series, C. S. Lewis was actually a

C#語言已經成為.NET平臺中最流行的編程語言。本書以Visual Studio 2012和SQL Server 2008為開發平臺，從實際應用的角度出發，重點介紹了使用C#開發Windows應用程序的方法和技術。全書共9章內容，第1章為C#概述，介紹了Microsoft.NET平臺概述、C#語言簡介、Visual Studio集成開發環境和C#程序結構介紹；第2～3章為C#程序設計基礎，通過實例

A guide that offers a step-by-step process to data-driven qualitative multimodal discourse analysis Systematically Working with Multimodal Data is a hands-on guide that is theoretically grounded and o

How is qualitative data actually collected, analyzed, and accomplished? How Qualitative Data Analysis Happens: Moving Beyond "Themes Emerged" offers an in-depth look into how qualitative social scienc

How is qualitative data actually collected, analyzed, and accomplished? How Qualitative Data Analysis Happens: Moving Beyond "Themes Emerged" offers an in-depth look into how qualitative social scienc

《C/C++程序設計》主要講述C/C++程序設計的基本原理和基本思想方法，在C語言的基礎上擴充了C++的運算符重載、函數重載、類和對象的封裝性等內容，目的是使讀者具備面向對象程序設計的能力。全書共9章，包括概述、基本數據類型及運算符、程序控制結構、數組、函數、指針、構造數據類型、文件、編譯預處理等內容。各章均精選了各類計算機水平考試試題作為例題和習題。 《C/C++程序設計》適合作為普通高等院校

《學習指導》是《C／C++程序設計》（由兩安電子科技大學出版社同時出版）的配套教材，主要講述了C/C++程序設計的基本原理和基本思想方法，在C語言的基礎上擴充了C++的運算符重載、函數重載、類和對象的封裝性內容，使讀者具備面向對象程序設計的能力。全書分為習題解析部分和實驗部分。其中，習題解析部分包括主教材中的9章習題解析，以及每章精選的各類計算機水平測試進階的習題和解析。實驗部分主要包括C/C++

Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, t

The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.

The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.

Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes deep learning and machine learning accessible to everyday de

Big Data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Proce

For introductory courses in IS (information systems) and MIS (management information systems). Mastering an essential business course Engaging and comprehensive, Using MIS helps students understan

《C語言程序設計》主要講述C語言的基本知識和程序設計的初步方法。全書共11章，其中第1章至第6章主要介紹C語言程序設計的基本概念、基本結構及函數等；第7章至第11章主要介紹數組、指針、結構體與共用體等複雜數據結構。為便於讀者掌握書中的知識和操作，《C語言程序設計》配有《C語言程序設計輔導及實驗指導書》，其中包含大量的操作實例和習題。 《C語言程序設計》結構合理，詳略得當，語言精練，通俗易懂，可作為

《C\/C 程序設計進階實驗指導與習題解析（第3版）》是與教材《C\/C 程序設計進階教程》相配套的學習指導與實驗用書，由上機實驗指導、主教材各章習題參考答案、C語言練習題及參考答案三大部分組成。*部分上機實驗指導，每個實驗都先說明實驗目的，再以實驗案例引導學生，最後給出具體的實驗內容，並要求學生進行總結和分析。第二部分主教材各章習題參考答案給出《C\/C 程序設計進階教程》各章習題的參考答

This full-color text shows readers how to transform data into something meaningful - information. It is meant for anyone interested in the art and science of communicating data to others. Drawing on t

This full-color text shows readers how to transform data into something meaningful - information. It is meant for anyone interested in the art and science of communicating data to others. Drawing on t

This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018.The

Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investmentBig Data and Machine Learning in Quantitative Investment is not just about demonstrat

Firms are collecting and analyzing customer data at an ever increasing rate in response to evidence that data analytics (precision targeting, improved selling) generates a positive return. Yet e

Preprocessing, or data reduction, is a standard technique for simplifying and speeding up computation. Written by a team of experts in the field, this book introduces a rapidly developing area of preprocessing analysis known as kernelization. The authors provide an overview of basic methods and important results, with accessible explanations of the most recent advances in the area, such as meta-kernelization, representative sets, polynomial lower bounds, and lossy kernelization. The text is divided into four parts, which cover the different theoretical aspects of the area: upper bounds, meta-theorems, lower bounds, and beyond kernelization. The methods are demonstrated through extensive examples using a single data set. Written to be self-contained, the book only requires a basic background in algorithmics and will be of use to professionals, researchers and graduate students in theoretical computer science, optimization, combinatorics, and related fields.

Put text structures to work and soon your students will be writing happily ever after.Award-winning authors Gretchen Bernabei and Judi Reimer make teaching to write about abstract concepts easy and fu

Providing information from data preparation and mean, median and mode, to regression, Lisa Daniels and Nicholas Minot use concise descriptions to help students understand the concepts behind statistic

This guide shows how to combine data science with social science to gain unprecedented insight into customer behavior, so you can change it. Joanne Rodrigues-Craig bridges the gap between predictive d

From Data to Evidence in English Language Research offers new insights into the ways in which developments in linguistic corpora and other digital data sources can be used to extend and re-evaluate re