Search results for "Data Structures using C"
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Basic Data Structures and Program Statements
This book covers C-Programming focussing on its practical side. Volume 1 deals mainly with basic data structures, algorithms and program statements. An extensive use of figures and examples help to give a clear description of concepts help the reader to gain a systematic understanding of the language.
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Introduction to Programming with C++ for Engineers
A complete textbook and reference for engineers to learn the fundamentals of computer programming with modern C++ Introduction to Programming with C++ for Engineers is an original presentation teaching the fundamentals of computer programming and modern C++ to engineers and engineering students. Professor Cyganek, a highly regarded expert in his field, walks users through basics of data structures and algorithms with the help of a core subset of C++ and the Standard Library, progressing to the object-oriented domain and advanced C++ features, computer arithmetic, memory management and essentials of parallel programming, showing with real world examples how to complete tasks. He also guides users through the software development process, good programming practices, not shunning from explaining low-level features and the programming tools. Being a textbook, with the summarizing tables and diagrams the book becomes a highly useful reference for C++ programmers at all levels. Introduction to Programming with C++ for Engineers teaches how to program by: Guiding users from simple techniques with modern C++ and the Standard Library, to more advanced object-oriented design methods and language featuresProviding meaningful examples that facilitate understanding of the programming techniques and the C++ language constructionsFostering good programming practices which create better professional programmersMinimizing text descriptions, opting instead for comprehensive figures, tables, diagrams, and other explanatory materialGranting access to a complementary website that contains example code and useful links to resources that further improve the reader’s coding abilityIncluding test and exam question for the reader’s review at the end of each chapter Engineering students, students of other sciences who rely on computer programming, and professionals in various fields will find this book invaluable when learning to program with C++.
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Introduction to HPC with MPI for Data Science
This gentle introduction to High Performance Computing (HPC) for Data Science using the Message Passing Interface (MPI) standard has been designed as a first course for undergraduates on parallel programming on distributed memory models, and requires only basic programming notions.Divided into two parts the first part covers high performance computing using C++ with the Message Passing Interface (MPI) standard followed by a second part providing high-performance data analytics on computer clusters.In the first part, the fundamental notions of blocking versus non-blocking point-to-point communications, global communications (like broadcast or scatter) and collaborative computations (reduce), with Amdalh and Gustafson speed-up laws are described before addressing parallel sorting and parallel linear algebra on computer clusters. The common ring, torus and hypercube topologies of clusters are then explained and global communication procedures on these topologies are studied. This first part closes with the MapReduce (MR) model of computation well-suited to processing big data using the MPI framework.In the second part, the book focuses on high-performance data analytics. Flat and hierarchical clustering algorithms are introduced for data exploration along with how to program these algorithms on computer clusters, followed by machine learning classification, and an introduction to graph analytics. This part closes with a concise introduction to data core-sets that let big data problems be amenable to tiny data problems.Exercises are included at the end of each chapter in order for students to practice the concepts learned, and a final section contains an overall exam which allows them to evaluate how well they have assimilated the material covered in the book.
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Program Construction
This textbook is an introduction to the design and writing of computer programs. It leads the reader through all the stages of program construction from the original specifications through to the final program. The formal verification of intermediate versions of the program is studied in considerable detail. The authors show how, given the formal specification of a program, data structure and program structure diagrams are drawn and then converted into a procedural program in a program design language (PDL). They demonstrate the conversion of PDL into a variety of real programming languages including Pascal, FORTRAN, COBOL, and Assembler. The book also includes chapters on abstract data types, analysing existing programs, and a small case study. First-year undergraduates in computer science and graduates taking courses in computing will find this a comprehensive introduction to program construction.
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Structure and Interpretation of Computer Programs
Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.
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N-ary Relations for Logical Analysis of Data and Knowledge
Mathematics has been used as a tool in logistical reasoning for centuries. Examining how specific mathematic structures can aid in data and knowledge management helps determine how to efficiently and effectively process more information in these fields.N-ary Relations for Logical Analysis of Data and Knowledge is a critical scholarly reference source that provides a detailed study of the mathematical techniques currently involved in the progression of information technology fields. Featuring relevant topics that include algebraic sets, deductive analysis, defeasible reasoning, and probabilistic modeling, this publication is ideal for academicians, students, and researchers who are interested in staying apprised of the latest research in the information technology field.
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Building a Debugger
If debuggers seem like magic to you, there is no better way to demystify them than to write your own. This book will show you exactly how to do it, walking you through the entire process of building a debugger for x64 Linux systems using C++. As go from an empty filesystem folder to a fully fledged debugger capable of setting breakpoints, stepping through code, manipulating variables, and more, you'll learn how to: Attach to a process; Read and write to registers; Set hardware and software breakpoints; Output disassembly; Support multithreading and other tasks. As you add features to your debugger, you'll also pick up a wealth of knowledge about operating systems, compilers, software testing, and low-level programming that you can use in your day-to-day development.
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Big Data Processing with Apache Spark
No need to spend hours ploughing through endless data – let Spark, one of the fastest big data processing engines available, do the hard work for you.Key FeaturesGet up and running with Apache Spark and PythonIntegrate Spark with AWS for real-time analyticsApply processed data streams to machine learning APIs of Apache SparkBook DescriptionProcessing big data in real time is challenging due to scalability, information consistency, and fault-tolerance. This book teaches you how to use Spark to make your overall analytical workflow faster and more efficient. You'll explore all core concepts and tools within the Spark ecosystem, such as Spark Streaming, the Spark Streaming API, machine learning extension, and structured streaming.You'll begin by learning data processing fundamentals using Resilient Distributed Datasets (RDDs), SQL, Datasets, and Dataframes APIs. After grasping these fundamentals, you'll move on to using Spark Streaming APIs to consume data in real time from TCP sockets, and integrate Amazon Web Services (AWS) for stream consumption.By the end of this book, you’ll not only have understood how to use machine learning extensions and structured streams but you’ll also be able to apply Spark in your own upcoming big data projects.What you will learnWrite your own Python programs that can interact with SparkImplement data stream consumption using Apache SparkRecognize common operations in Spark to process known data streamsIntegrate Spark streaming with Amazon Web Services (AWS)Create a collaborative filtering model with the movielens datasetApply processed data streams to Spark machine learning APIsWho this book is forData Processing with Apache Spark is for you if you are a software engineer, architect, or IT professional who wants to explore distributed systems and big data analytics. Although you don‘t need any knowledge of Spark, prior experience of working with Python is recommended.
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CNC Programming using Fanuc Custom Macro B
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Master CNC macro programmingCNC Programming Using Fanuc Custom Macro B shows you how to implement powerful, advanced CNC macro programming techniques that result in unparalleled accuracy, flexible automation, and enhanced productivity. Step-by-step instructions begin with basic principles and gradually proceed in complexity. Specific descriptions and programming examples follow Fanuc's Custom Macro B language with reference to Fanuc 0i series controls. By the end of the book, you will be able to develop highly efficient programs that exploit the full potential of CNC machines.COVERAGE INCLUDES:Variables and expressionsTypes of variables--local, global, macro, and system variablesMacro functions, including trigonometric, rounding, logical, and conversion functionsBranches and loopsSubprogramsMacro callComplex motion generationParametric programmingCustom canned cyclesProbingCommunication with external devicesProgrammable data entry
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PSP Hacks
Sure, it's just what you've been clamouring for: an ultra slick, portable version of the most popular console gaming system in the world. But Sony's new PlayStation Portable (PSP) isn't just a handheld gaming device. Beyond its killer graphics and spectacular widescreen LCD for unparalleled game play, it also sports wireless connectivity and a variety of multimedia features, including video, music, and digital photography. Your wildly versatile, endlessly powerful PSP practically begs you to hack and repurpose it to your liking. To save you the trouble and show you how to make the PSP do more than you ever imagined - and more than Sony ever intended - "PSP Hacks" is one succinct volume of 50 of the coolest, most useful, up-to-the-minute hacks for this amazing device. You'll learn how to open your PSP's hardware and what to safely plug into it. You'll explore and put to good use every hidden feature of the device. You'll be able to move all sorts of multimedia onto your PSP and find ways to extend its wireless capabilities. And you'll find out how to get the very best experience out of online game play.With "PSP Hacks", you can accomplish a whole lot more than good gaming on the PSP. You'll quickly learn to surf the Web with a PSP, chat in IRC, and use the PSP to read web comics, ebooks, and RSS feeds. Other expert tips and tools allow you to sync an address book to your PSP, watch UMD movies, fool iTunes into thinking the PSP is an iPod Shuffle, and much more. The innovative hacks, tweaks, and how-tos in this essential guide make it easy to customize your PSP, take full advantage of features, capabilities, and functionality far beyond what's listed in the PSP user manual, and make your PSP perform countless tricks that only an all-in-one portable entertainment unit as remarkable and revolutionary as this one could.
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