Large-Scale C++ Software Design. John Lakos

Large-Scale C++ Software Design


Large.Scale.C.Software.Design.pdf
ISBN: 0201633620, | 870 pages | 22 Mb


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Large-Scale C++ Software Design John Lakos
Publisher: Addison Wesley




It is designed to find (local) solutions of mathematical optimization problems of the from min f(x) x in R^n s.t. Where f(x): R^n --> R is the Ipopt is written in C++ and is released as open source code under the Eclipse Public License (EPL). Work with awesome technology: Clusters of 1,000+ machines, large neural network learning systems, GPUs, parallel arrays of Strong C++, STL, Boost expertise. May 11, 2014 - The Xbox Recommendation team is looking for an extremely technical, smart and highly motivated software developer with passion and experience in building large scale data systems using MAP/REDUCE technologies. It is available from the ​COIN-OR initiative. Solid understanding of object oriented software design concepts. May 1, 2014 - We are looking for Software Development Engineers to help architect, design, write code, and deliver the next generation of the Windows Cloud. In this role, you will work closely with many Appropriate experience in software development in C/C++/ C#/Java Demonstrated interest in one of the following areas: large scale internet applications, distributed systems, client/server and multitier architecture, and web development. With us you will be designing and implementing a high scale production system in COSMOS (Map/Reduce) that analyze terabytes of signals, run complex machine learning algorithms and model user states, items relationships and many more. May 5, 2014 - Ipopt (Interior Point OPTimizer, pronounced eye-pea-Opt) is a software package for large-scale ​nonlinear optimization. G_L <= g(x) <= g_U x_L <= x <= x_U. May 18, 2014 - The purpose of the role is to work on all aspects of software development, including analysis, design, implementation, testing, and deployment. Feb 26, 2013 - C++ Software Engineer - AI / NLProc / Big Data Join a world-class team: Serious engineering -- solving real-world problems using data analytics, large-scale parallel processing, web spiders, and document analysis pipelines.

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