This paper describes salient features of the C++ programming language and its programming ecosystem, with emphasis on how the language affects scientific software development. Brief history of C++ and its predecessor the C language is provided. Most important aspects of the language that define models of programming are described in greater detail and illustrated with code examples. Special attention is paid to the interoperability between C++ and other high-level languages commonly used in cheminformatics, machine learning, data processing and statistical computing.

Dataset

This dataset was created by Shaurya PS Bisht

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Contents

The author John R. Levine has written the book Programming for graphics files in C and C++ which was published in 1994 by J Wiley. The book has an ISBN of 0471598569/0471598542/0471598577 and is in the English language. The book is about C♯ (Computer program language), Computer graphics.

Object-oriented programming using C++ is a book. Explore Object-oriented programming using C++ through unique data from The British Library.

Question Paper Solutions of chapter Moving from C to C++ of Object Oriented Programming, 6th Semester , Electronics and Communication Engineering

Question Paper Solutions of chapter C++ Functions of Object oriented Programming with C++, 3rd Semester , Bachelor of Computer Applications

As of 2022, JavaScript and HTML/CSS were the most commonly used programming languages among software developers around the world, with more than 63.6 percent of respondents stating that they used JavaScript and just around 53 percent using HTML/CSS. Python, SQL, and TypeScript rounded out the top five most widely used programming languages around the world.

Programming languages At a very basic level, programming languages serve as sets of instructions that direct computers on how to behave and carry out tasks. Thanks to the increased prevalence of, and reliance on, computers and electronic devices in today’s society, these languages play a crucial role in the everyday lives of people around the world. An increasing number of people are interested in furthering their understanding of these tools through courses and bootcamps, while current developers are constantly seeking new languages and resources to learn to add to their skills. Furthermore, programming knowledge is becoming an important skill to possess within various industries throughout the business world. Job seekers with skills in Python, R, and SQL will find their knowledge to be among the most highly desirable data science skills and likely assist in their search for employment.

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)

Abstract Object-oriented programming using C++ is increasingly being adopted in the development of scientific codes. A recurrent issue in this regard is the interaction of newly developed codes with existing legacy libraries written in C or Fortran. Often, one needs to pass raw function pointers to such libraries’ procedures for callback purposes. This is problematic as it conflicts with one of the cornerstones of object-oriented programming: the association of functions and data through objects. Curr...

Title of program: Adapt2rfp Catalogue Id: AENU_v1_0

Nature of problem Object-oriented programming using C++ is increasingly being adopted in the development of scientific codes. A recurrent issue in this regard, is the interaction of newly developed codes with existing legacy libraries written in C or Fortran. Often, one needs to pass raw function pointers to such libraries' procedures for callback purposes. This is problematic as it conflicts with one of the cornerstones of object-oriented programming, the association of functions and data through objects. Curren ...

Versions of this program held in the CPC repository in Mendeley Data AENU_v1_0; Adapt2rfp; 10.1016/j.cpc.2012.10.016

The book Object-oriented programming in C++ was written by Nicolai M. Josuttis and published in 2002 by J Wiley. It has an ISBN of 0470843993 and is in the eng language. The book is about C♯ (Computer program language), Object-oriented programming (Computer science) and has a BNB ID of GBA311244.

Abstract Object-oriented programming using C++ is increasingly being adopted in the development of scientific codes. A recurrent issue in this regard is the interaction of newly developed codes with existing legacy libraries written in C or Fortran. Often, one needs to pass raw function pointers to such libraries’ procedures for callback purposes. This is problematic as it conflicts with one of the cornerstones of object-oriented programming: the association of functions and data through objects. Curr... Title of program: Adapt2rfp Catalogue Id: AENU_v1_0 Nature of problem Object-oriented programming using C++ is increasingly being adopted in the development of scientific codes. A recurrent issue in this regard, is the interaction of newly developed codes with existing legacy libraries written in C or Fortran. Often, one needs to pass raw function pointers to such libraries' procedures for callback purposes. This is problematic as it conflicts with one of the cornerstones of object-oriented programming, the association of functions and data through objects. Curren ...

Project CodeNet is a large-scale dataset with approximately 14 million code samples, each of which is an intended solution to one of 4000 coding problems. The code samples are written in over 50 programming languages (although the dominant languages are C++, C, Python, and Java) and they are annotated with a rich set of information, such as its code size, memory footprint, cpu run time, and status, which indicates acceptance or error types. The dataset is accompanied by a repository, where we provide a set of tools to aggregate codes samples based on user criteria and to transform code samples into token sequences, simplified parse trees and other code graphs. A detailed discussion of Project CodeNet is available in this paper.

The rich annotation of Project CodeNet enables research in code search, code completion, code-code translation, and a myriad of other use cases. We also extracted several benchmarks in Python, Java and C++ to drive innovation in deep learning and machine learning models in code classification and code similarity.

Citation @inproceedings{puri2021codenet, author = {Ruchir Puri and David Kung and Geert Janssen and Wei Zhang and Giacomo Domeniconi and Vladmir Zolotov and Julian Dolby and Jie Chen and Mihir Choudhury and Lindsey Decker and Veronika Thost and Luca Buratti and Saurabh Pujar and Ulrich Finkler}, title = {Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks}, year = {2021}, }

In this paper we look at the Eclipse IDE and its support for CDT (C/C++ Development Tools). Eclipse is an open source IDE and supports a variety of programming languages including plugin functionality. Eclipse supports the standard GNU environment for compiling, building and debugging applications. The CDT is a plugin which enables development of C/C++ applications in eclipse. It enables functionality including code browsing, syntax highlighting and code completion. We verify a 50X improvement in LOC automation for Fake class .cpp / .h and class test .cpp code generation.

Abstract The CADNA library enables one to estimate round-off error propagation using a probabilistic approach. The CADNA_C version enables this estimation in C or C++ programs, while the previous version had been developed for Fortran programs. The CADNA_C version has the same features as the previous one: with CADNA the numerical quality of any simulation program can be controlled. Furthermore by detecting all the instabilities which may occur at run time, a numerical debugging of the user code can b...

Title of program: CADNA_C Catalogue Id: AEGQ_v1_0

Nature of problem A simulation program which uses floating-point arithmetic generates round-off errors, due to the rounding performed at each assignment and at each arithmetic operation. Round-off error propagation may invalidate the result of a program. The CADNA library enables one to estimate round-off error propagation in any simulation program and to detect all numerical instabilities that may occur at run time.

Versions of this program held in the CPC repository in Mendeley Data AEGQ_v1_0; CADNA_C; 10.1016/j.cpc.2010.07.006

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)

Conductance-based models of neurons are used extensively in computational neuroscience. Working with these models can be challenging due to their high dimensionality and large number of parameters. Here, we present a neuron and network simulator built on a novel automatic type system that binds object-oriented code written in C++ to objects in MATLAB. Our approach builds on the tradition of uniting the speed of languages like C++ with the ease-of-use and feature-set of scientific programming languages like MATLAB. Xolotl allows for the creation and manipulation of hierarchical models with components that are named and searchable, permitting intuitive high-level programmatic control over all parts of the model. The simulator's architecture allows for the interactive manipulation of any parameter in any model, and for visualizing the effects of changing that parameter immediately. Xolotl is fully featured with hundreds of ion channel models from the electrophysiological literature, and can be extended to include arbitrary conductances, synapses, and mechanisms. Several core features like bookmarking of parameters and automatic hashing of source code facilitate reproducible and auditable research. Its ease of use and rich visualization capabilities make it an attractive option in teaching environments. Finally, xolotl is written in a modular fashion, includes detailed tutorials and worked examples, and is freely available at https://github.com/sg-s/xolotl, enabling seamless integration into the workflows of other researchers.

The dataset is provided as a .zip archive containing two .csv data files. These two data files contain the results of a series of timing runs made with a suite of 28 C test programs and 20 C++ test programs using three different computers and two operating systems (Windows and Linux). All 48 test programs carry out processing of two-dimensional arrays. One of the files, "C_CppTimeTestsAllRecords.csv", contains three replicated times for each of 960 combinations of factor levels that potentially might have affected the time required to process two-dimensional arrays. The other file, "C_CppTimeTestsAverages.csv", contains the average of the three replicated times for each of the 960 combinations of factor levels. Both files have the same column headers and data formats, and the meaning of the data fields (columns) is the same in both files, with one exception. The exception is that the file for all records contains actual runtimes (in seconds) in the "ProcTime" field, whereas the other file contains averaged runtimes in the "ProcTime" field.

Get Exam Question Paper Solutions of Object-Oriented Programming With C++ and many more.

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)

Abstract This article discusses an efficient implementation of tensors of arbitrary rank by using some of the idioms introduced by the recently published C++ ISO Standard (C++11). With the aims at providing a basic building block for high-performance computing, a single Array class template is carefully crafted, from which vectors, matrices, and even higher-order tensors can be created. An expression template facility is also built around the array class template to provide convenient mathematical syn...

Title of program: cpp-array Catalogue Id: AESA_v1_1

Nature of problem Tensors are a basic building block for any program in scientific computing. Yet, tensors are a built-in component of the C++ programming language.

Versions of this program held in the CPC repository in Mendeley Data AESA_v1_0; cpp-array; 10.1016/j.cpc.2014.01.005 AESA_v1_1; cpp-array; 10.1016/j.cpc.2014.07.015

Benchmarking is a way to study the performance of new architectures and parallel programming frameworks. Well-established benchmark suites such as the NAS Parallel Benchmarks (NPB) comprise legacy codes that still lack portability to C++ language. As consequence, a set of high-level and easy-to-use C++ parallel programming frameworks cannot be tested in NPB. Our goal is to describe a C++ porting of the NPB kernels and to analyze the performance achieved by different parallel implementations written using the Intel TBB, OpenMP and FastFlow frameworks for Multi-Cores. The experiments show an efficient code porting from Fortran to C++ and a good parallel efficiency on average.

C++ programming : program design including data structures. Explore C++ programming : program design including data structures through unique data from The British Library.