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Commercial software

About: Commercial software is a research topic. Over the lifetime, 2272 publications have been published within this topic receiving 32563 citations. The topic is also known as: payware.


Papers
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Book
22 Jan 2015
TL;DR: ParaView was developed to analyze extremely large datasets using distributed memory computing resources and has become an integral tool in many national laboratories, universities and industry, and has won several awards related to high performance computation.
Abstract: ParaView is an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaViews batch processing capabilities. ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of petascale size as well as on laptops for smaller data, has become an integral tool in many national laboratories, universities and industry, and has won several awards related to high performance computation. ParaView is open-source (BSD licensed, commercial software friendly). As with any of successful open-source project, ParaView is supported by an active user and developer community.

1,017 citations

Journal ArticleDOI
TL;DR: An overview of the theoretical basis of FEBio and its main features is provided, which offers modeling scenarios, constitutive models, and boundary conditions, which are relevant to numerous applications in biomechanics.
Abstract: In the field of computational biomechanics, investigators have primarily used commercial software that is neither geared toward biological applications nor sufficiently flexible to follow the latest developments in the field This lack of a tailored software environment has hampered research progress, as well as dissemination of models and results To address these issues, we developed the FEBio software suite (http://mrlsciutahedu/software/febio), a nonlinear implicit finite element (FE) framework, designed specifically for analysis in computational solid biomechanics This paper provides an overview of the theoretical basis of FEBio and its main features FEBio offers modeling scenarios, constitutive models, and boundary conditions, which are relevant to numerous applications in biomechanics The open-source FEBio software is written in C++, with particular attention to scalar and parallel performance on modern computer architectures Software verification is a large part of the development and maintenance of FEBio, and to demonstrate the general approach, the description and results of several problems from the FEBio Verification Suite are presented and compared to analytical solutions or results from other established and verified FE codes An additional simulation is described that illustrates the application of FEBio to a research problem in biomechanics Together with the pre- and postprocessing software PREVIEW and POSTVIEW, FEBio provides a tailored solution for research and development in computational biomechanics

830 citations

Book
01 Dec 1995
TL;DR: This book will present guide-lines based on theory and data for establishing a metrics (environment) program for object-oriented software development.
Abstract: Object-oriented (OO) metrics are an integral part of object technology - at the research level and in commercial software development projects. This book offers theoretical and empirical tips and facts for creating an OO complexity metrics (measurement) program, based on a review of existing research from the last several years. KEY TOPICS: Covers moving through object-oriented concepts as they related to managing the project lifecycle; the framework in which metrics exist; structural complexity metrics for traditional systems; OO product metrics; and current industrial applications. MARKET: For software developers, programmers, and managers.

804 citations

Book
09 Nov 2007
TL;DR: The only course text available that is specifically designed to give an applications lead, software oriented approach to understanding and using CFD is as discussed by the authors, which is coupled with a complete grounding in the necessary mathematical principles of CFD.
Abstract: A senior level undergraduate and graduate textbook for a wide audience of engineering students taking a first course in CFD or Computer Aided Engineering. Fully course matched, with the most extensive and rigorous pedagogy and features of any book in the field. The first book in the field aimed at CFD users rather than developers. The only course text available that is specifically designed to give an applications lead, software oriented approach to understanding and using CFD. This is coupled with a complete grounding in the necessary mathematical principles of CFD. Unlike existing books this has not been written with the needs of advanced students who are expected to develop their own CFD code in mind. The widespread availability of commercial software enables this book to meet the needs of beginner CFD students who use commercial software. Meets the needs of students taking a wide range of courses. Unlike existing titles it does not focus on the needs of advanced aerospace or applied math courses. Ideal for use on the burgeoning courses in mechanical, automotive, marine, environmental, civil and chemical engineering that harness CFD or computer aided engineering more generally.The strongest pedagogy of any available book. Core mathematics are developed in a step by step fashion, with no assumed steps left out in order to develop a solid understanding of the conservation laws, mathematical transport equations and basic concepts of fluid mechanics and heat transfer that comprise the key to effective use of CFDDetailed worked examples reinforce learning and link to the real applications students will work with; end of chapter knowledge check exercises, homework assignment questions, plus separate Instructor's Manual

682 citations

Journal ArticleDOI
TL;DR: There is a disconnect between research in simulation optimization--which has addressed the stochastic nature of discrete-event simulation by concentrating on theoretical results of convergence and specialized algorithms that are mathematically elegant--and the recent software developments, which implement very general algorithms adopted from techniques in the deterministic optimization metaheuristic literature.
Abstract: Probably one of the most successful interfaces between operations research and computer science has been the development of discrete-event simulation software. The recent integration of optimization techniques into simulation practice, specically into commercial software, has become nearly ubiquitous, as most discrete-event simulation packages now include some form of ?optimization? routine. The main thesis of this article, how-ever,is that there is a disconnect between research in simulation optimization--which has addressed the stochastic nature of discrete-event simulation by concentratingon theoretical results of convergence and specialized algorithms that are mathematically elegant--and the recent software developments, which implement very general algorithms adopted from techniques in the deterministic optimization metaheuristic literature (e.g., genetic algorithms, tabu search, artificial neural networks). A tutorial exposition that summarizes the approaches found in the research literature is included, as well as a discussion contrasting these approaches with the algorithms implemented in commercial software. The article concludes with the author's speculations on promising research areas and possible future directions in practice.

652 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20222
202189
202081
201992
201890
2017103