The Boost Graph Library
✍ Scribed by Jeremy Siek; Lie-Quan Lee; Andrew Lumsdaine
- Publisher
- Addison-Wesley
- Year
- 2010
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
The Boost Graph Library (BGL) is the first C++ library to apply the principles of generic programming to the construction of the advanced data structures and algorithms used in graph computations. Problems in such diverse areas as Internet packet routing, molecular biology, scientific computing, and telephone network design can be solved by using graph theory. This book presents an in-depth description of the BGL and provides working examples designed to illustrate the application of BGL to these real-world problems.
📜 SIMILAR VOLUMES
Издание, являющееся переводом одной из книг серии «C++ in Depth», посвящено описанию Boost Graph Library (BGL) — библиотеки для построения структур данных и алгоритмов вычислений на графах, предназначенных для решения самых разнообразных задач: от оптимизации интернет-маршрутизации и планирования те
Izdanie, yavlyayuscheesya perevodom odnoj iz knig serii "C++ in Depth", posvyascheno opisaniyu Boost Graph Library (BGL) - biblioteki dlya postroeniya struktur dannykh i algoritmov vychislenij na grafakh, prednaznachennykh dlya resheniya samykh raznoobraznykh zadach: ot optimizatsii internet-marshru
The Boost Graphic Library (BGL) gives experienced C++ developers high quality implementations of a wide range of graph data structures and algorithms -- helping them save time that would otherwise have been spent on developing and debugging. Now, the BGL's creators offer a complete tutorial and refe
CD-ROM contains: Source code of BGL -- Fully searchable hyperlinked version of text.
The first complete tutorial and reference on the Boost Graphic Library (BGL) -- by its creators -- New graph data structures and algorithms that can help experienced C++ developers save time and dramatically improve code reliability and performance.-- Practical new insights into generic programming