This easy-to-read textbook/reference presents an essential guide to object-oriented C++ programming for scientific computing. With a practical focus on learning by example, the theory is supported by numerous exercise...
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ISBN:
(数字)9781447127369
This easy-to-read textbook/reference presents an essential guide to object-oriented C++ programming for scientific computing. With a practical focus on learning by example, the theory is supported by numerous exercises.;Features: provides a specific focus on the application of C++ to scientific computing, including parallel computing using MPI; stresses the importance of a clear programming style to minimize the introduction of errors into code; presents a practical introduction to procedural programming in C++, covering variables, flow of control, input and output, pointers, functions, and reference variables; exhibits the efficacy of classes, highlighting the main features of object-orientation; examines more advanced C++ features, such as templates and exceptions; supplies useful tips and examples throughout the text, together with chapter-ending exercises, and code available to download from Springer.
Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis book...
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ISBN:
(数字)9783030105310
ISBN:
(纸本)9783030105303
Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.
1.1 Introduction Object-oriented programming has opened a great many perspectives on the concept of software and has been hailed as part of the solution to the so-called “software crisis”. It has given the possibili...
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ISBN:
(数字)9781846287749
ISBN:
(纸本)9781846287732
1.1 Introduction Object-oriented programming has opened a great many perspectives on the concept of software and has been hailed as part of the solution to the so-called “software crisis”. It has given the possibility that software components can be *** case studies in which the reuse of object-oriented components has been made and analysed. Object-oriented programming relates the programming activity to that of modelling or simulation; objects are identi?ed by a correspondence with the objects found in the application area of the program and are used to model those domain operations. Object-oriented programming also opens the prospect of more ?exible software that is able to respond dynamically to the needs of the application at runtime. It is very easy to think that object-oriented programming can be performed in only one way. The prevalence of C++ and Java suggests that they are the onlywaytoapproachtheproblemofwhatanobject-orientedprogrammingl- guage should look like. There are many approaches to this way of programming andC++andJavaexemplifyjustoneofthesedi?***,the wayinwhichtheconceptoftheobjectisinterpreteddi?ersbetweenapproaches and between languages. The two main approaches found in object-oriented programming languages are, respectively, class-based and prototype-based languages. Class-based l- guages are exempli?ed by Smalltalk [34], C++ [75, 74] and Java [47]. This 2 1. Introduction approach is based upon the identi?cation of common properties of objects and their description in terms of a de?nitional structure called a class. The objects manipulated by class-based programs are the result of instantiating classes.
This unique, accessible textbook presents a succession of implementations of the open-source RISC-V processor. Implementations are offered in increasing difficulty (non-pipelined, pipelined, deeply pipelined,...
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ISBN:
(数字)9783031180231
ISBN:
(纸本)9783031180224
This unique, accessible textbook presents a succession of implementations of the open-source RISC-V processor. Implementations are offered in increasing difficulty (non-pipelined, pipelined, deeply pipelined, multi-threaded, multicore).;Each implementation is shown as a High-Level Synthesis (HLS) code in C++. This facilitates synthesis and testing on an FPGA-based development board (Such a board can be freely obtained from the Xilinx University Program targeting university professors).;The book can be useful for several reasons. First, it is a novel way to introduce computer architecture: The codes given can serve as labs for a processor architecture course. Second, the book content is based on the RISC-V Instruction Set Architecture, which is an open-source machine language promising to become the main machine language to be taught, replacing DLX and MIPS. Third, all the designs are implemented through the HLS tool, which is able to translate a C program into an intellectual property (IP). Lastly, HLS will become the new standard for IP implementations, replacing Verilog/VHDL; already there are job positions tied to HLS, with the argument of rapid IP development.;Hence, in addition to offering undergraduates a firm introduction, the textbook/guide can also serve engineers willing to implement processors on FPGA, as well as researchers willing to develop RISC-V based hardware simulators.;is Professor in the Faculty of sciences at the Université de Perpignan, France. He is author of the French-language book from Springer,;, 2002.
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