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Titlebook: Low Level X Window Programming; An Introduction by E Ross J. Maloney Textbook 2017 Springer International Publishing AG, part of Springer N

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书目名称Low Level X Window Programming
副标题An Introduction by E
编辑Ross J. Maloney
视频videohttp://file.papertrans.cn/589/588784/588784.mp4
概述The generally thought difficult programming in Xlib and Xcb is introduced in a comprehensive manner from program start to finish.This book develops guidelines using small demonstration programs which
图书封面Titlebook: Low Level X Window Programming; An Introduction by E Ross J. Maloney Textbook 2017 Springer International Publishing AG, part of Springer N
描述.This is the missing X Window book. While others have shown what the X Window system has available, this book shows how to convert this potential into working tools to fulfil your visualisation needs. It is of the show-me class of books...The majority of the book covers Xlib, although a short coverage of Xcb is also given.  Included are:...  The relationship between Xlib and the X Window protocol;...  All the basic Xlib topics are covered;...  Complete working programs with their results;...  Exercises to reinforce the material just covered..A 9 part partition to building a complete X program is used throughout. This partitioning fosters the inclusion of all code necessary. All programs are written in C and are one to four pages in length.  Open source programs with the occasional Postscript script are shown to provide support as needed.  Throughout the examples consideration is given to using colour. The examples produce simple results with the aim of providing building blocks for application oriented codes...The book is directed at graduate students and researchers who create computer code to visualise their data..
出版日期Textbook 2017
关键词X Window; Xlib programming; Xcb programming; computer graphics; windows creation
版次1
doihttps://doi.org/10.1007/978-3-319-74250-2
isbn_softcover978-3-319-74249-6
isbn_ebook978-3-319-74250-2
copyrightSpringer International Publishing AG, part of Springer Nature 2017
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decision protocols. Adaptive management is the most logical approach to decision making where there is uncertainty about the effectiveness of management options, and the opportunity exists to learn and update understanding. This iterative process offers continuous improvements to investment efficien
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Ross J. Maloney a paucity of key resources (e.g. tree hollows) must be avoided. Given that vegetation may not meet both foraging and breeding requirements of a given species, populations may be limited continuously — by foraging constraints at some times, and by breeding constraints at other times. Animal species
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Ross J. Maloney a paucity of key resources (e.g. tree hollows) must be avoided. Given that vegetation may not meet both foraging and breeding requirements of a given species, populations may be limited continuously — by foraging constraints at some times, and by breeding constraints at other times. Animal species
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Ross J. Maloney attributes based on the BioMetric site assessment method. The case study, in the Murray Catchment in New South Wales, Australia, illustrates how an understanding of faunal response to native vegetation condition can be combined with modelled data to develop regional conservation planning maps. A sp
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scales appropriate for decision making, but what of the process of decision making itself? In this chapter we review the applicability of the ‘adaptive management’ paradigm to natural resource management, using regional management of native vegetation by Catchment Management Authorities as an exampl
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