Data Structures Using C

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

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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

Covering basic physical concepts, experimental methods, and applications, this book is an indispensable text on the fascinating science of magnetism, and an invaluable source of practical reference data. Accessible, authoritative, and assuming undergraduate familiarity with vectors, electromagnetism and quantum mechanics, this textbook is well suited to graduate courses. Emphasis is placed on practical calculations and numerical magnitudes - from nanoscale to astronomical scale - focussing on modern applications, including permanent magnet structures and spin electronic devices. Each self-contained chapter begins with a summary, and ends with exercises and further reading. The book is thoroughly illustrated with over 600 figures to help convey concepts and explain ideas clearly. Easily digestible tables and data sheets provide a wealth of useful information on magnetic properties. The thirty-eight principal magnetic materials, and many more related compounds, are treated in detail.

Across the social sciences there has been increasing focus on reproducibility, i.e., the ability to examine a study's data and methods to ensure accuracy by reproducing the study. Reproducible Econome

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax ba

This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to.

"A great, action-oriented book for novice data analysts. If you have no background in quantitative social science, Fogarty's book gives you a toolbox for starting statistical analysis and develop

This is the ideal book to get you up and running with the basics of qualitative data analysis. It breaks everything down into a series of simple steps and introduces the practical tools and techniques

A significant new way of understanding contemporary capitalism is to understand the intensification and spread of data analytics. This text is about the powerful promises and visions that have led to

科學證實，只要血液中的維生素C保持在一定濃度，即可建造身強體壯的高品質人生。◎維生素C對癌症有效◎維生素C對於感冒或流行性感冒有效◎維生素C對於感染病症、心肌梗塞、腦中風有效◎維生素C能塑造不易患病的體質◎維生素C可作為便宜且無副作用之安全食品本書特色1.大量攝取維生素C就能大幅改善身體狀況，簡單！便宜！迅速！2.強調維生素C是食品，過度食用也不會傷害身體，反而有助於疾病治療與預防。3.教你如何攝

Excel® 2019 PIVOT TABLE DATA CRUNCHING CRUNCH DATA FROM ANY SOURCE, QUICKLY AND EASILY, WITH EXCEL 2019 PIVOT TABLES! Use Excel 2019 pivot tables and pivot charts to produce powerful, dyna

This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tool

"A great, action-oriented book for novice data analysts. If you have no background in quantitative social science, Fogarty's book gives you a toolbox for starting statistical analysis and develop

This is the ideal book to get you up and running with the basics of qualitative data analysis. It breaks everything down into a series of simple steps and introduces the practical tools and techniques

A significant new way of understanding contemporary capitalism is to understand the intensification and spread of data analytics. This text is about the powerful promises and visions that have led to

This book examines quality teaching in professional education in the fields of engineering and international knowledge structures. The second of a two-volume series, the editors and contributors struc

本書是C#網絡程序開發的經典教材，涵蓋C#網絡程序開發的理論、實驗和課程設計。全書共包含五大部分：第一部分為C#網絡程序開發基礎，包括網絡程序開發基礎知識和C#網絡程序開發基礎； 第二部分為C#網絡傳輸程序開發，包括TCP、UDP和P2P網絡程序開發技術； 第三部分為Internet應用程序開發，包括FTP、電子郵件、HTTP和Web Service網絡程序開發技術； 第四部分為C#網絡程序開發實

《C/C++程序設計 第3版》是用於學習C/C++語言程序設計的教科書。內容包括：程序設計語言的分類和發展，C語言和C++語言的產生和發展，基本數據類型，運算符和表達式，輸入輸出用法，編譯預處理，分支和循環，構造數據類型(數組、結構、聯合、枚舉、文件)，函數，指針，類和對象，以及用附錄形式給出的ASCII碼表、C/C++常用庫函數表、VisualC++6.0上機操作方法、VisualC++2010

《C語言程序設計》以“Visual C++ 2010 學習版”軟件為應用背景，全面介紹了C語言的基礎知識、程序結構及程序編寫技巧。全書共分為12章，主要內容包括C語言簡介、C語言基礎知識、順序結構程序設計、選擇結構程序設計、循環結構程序設計、函數、預處理、數組、指針、結構體與共用體、文件、位運算等。 《C語言程序設計》在準確講解概念的基礎上引入大量實例，由淺入深、分析透徹，旨在培養學生的實踐動

Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the subject, it provides a comprehensive overview of the field, moving from fundamental theory through to important new results and recent advances. Topics covered include advanced robust methods for complex-valued data, robust covariance estimation, penalized regression models, dependent data, robust bootstrap, and tensors. Robustness issues are illustrated throughout using real-world examples and key algorithms are included in a MATLAB Robust Signal Processing Toolbox accompanying the book online, allowing the methods discussed to be easily applied and adapted to multiple practical situations. This unique resource provides a powerful tool for researchers and practitioners working in the field of signal processing.

Emphasizing the importance of preparing students for the global workforce, this title explains how to teach using the latest educational technology.• Gain an understanding of the importance of using h

本書以貼近實際的具體項目為依託，將必須掌握的基本知識與項目設計和實施建立聯繫，將能力和技能培養貫穿其中。本書根據行業對人才知識和技能的要求設計了 10 個編程項目：基於C#溫濕度採集應用、基於C#溫濕度採集風扇控制應用 、基於C#光照度採集應用、基於C#光照度採集步進電機控制應用、基於C#人體紅外檢測應用、基於 C#人體紅外檢測繼 電器控制應用、基於C#煙霧氣體檢測應用、基於 C#煙霧氣體檢測報警

Migrate your data to Salesforce and build low-maintenance and high-performing data integrations to get the most out of Salesforce and make it a "go-to" place for all your organization's customer infor

A comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age

An accessible primer on how to create effective graphics from dataThis book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains