Programming With Motiftm


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Programming with MotifTM


Programming with MotifTM

Author: Keith D. Gregory

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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About this Book This book is a detailed introduction to programming with the OSF /MotifI'M graphical user interface. It is an introduction in that it does not require the reader to have experience programming in the X Window environment. It is detailed in that it teaches you how to use the interface components provided by Motif in a complex application. Although it contains a great deal of reference material, it is not meant as an authoritative reference - that is the job of the OSF/Motif Programmer's Reference, which uses over 900 pages in the process. Instead, this book provides its reference material in a practical, "how to" manner and allows the reader to use the Programmer's Reference effectively. The target reader is an experienced C programmer and user of the X Window System under the UNIX operating system. 'the reader should be familiar with the tools provided by UNIX for the compilation and testing of programs; while this book does examine the process by which a Motif program is compiled, it does not explain that process. It also assumes that the reader is familiar with "x" terms such as 'pointer' and 'display'.

New Computing Techniques In Physics Research Ii - Proceedings Of The Second International Workshop On Software Engineering Artificial Intelligence And Expert Systems In High Energy And Nuclear Physics


New Computing Techniques In Physics Research Ii - Proceedings Of The Second International Workshop On Software Engineering Artificial Intelligence And Expert Systems In High Energy And Nuclear Physics

Author: Denis Perret-gallix

language: en

Publisher: World Scientific

Release Date: 1992-09-04


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A vivid example of the growing need for frontier physics experiments to make use of frontier technology is in the field of Artificial Intelligence (AI) and related themes.By AI we are referring here to the use of computers to deal with complex objects in an environment based on specific rules (Symbolic Manipulation), to assist groups of developers in the design, coding and maintenance of large packages (Software Engineering), to mimic human reasoning and strategy with knowledge bases to make a diagnosis of equipment (Expert Systems) or to implement a model of the brain to solve pattern recognition problems (Neural Networks). These techniques, developed some time ago by AI researchers, are confronted by down-to-earth problems arising in high-energy and nuclear physics. However, similar situations exist in other 'big sciences' such as space research or plasma physics, and common solutions can be applied.The magnitude and complexity of the experiments on the horizon for the end of the century clearly call for the application of AI techniques. Solutions are sought through international collaboration between research and industry.