文件名称:boost_1_39_0

  • 所属分类:
  • Windows编程
  • 资源属性:
  • [C/C++]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 57.56mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • wen***
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

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Boost库是一个经过千锤百炼、可移植、提供源代码的C++库,,作为标准库的后备,是C++标准化进程的发动机之一。 Boost库由C++标准委员会库工作组成员发起,其中有些内容有望成为下一代C++标准库内容。在C++社区中影响甚大,其成员已近2000人。 Boost库为我们带来了最新、最酷、最实用的技术,是不折不扣的“准”标准库。-Boost library is a thoroughly tempered, can be transplanted to provide the source code of C++ library, as a back-up standard library is C++ standardization process, one of the engines. Boost library from C++ Standards Committee members of the Working Group initiated by the Treasury, some of which content is expected to become the next generation of C++ standard library content. In C++ community exert a great influence for nearly 2,000 of its members. Boost library brought us the latest, coolest and most practical technology is an absolute " quasi" standard library.
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下载文件列表

boost_1_39_0

............\boost

............\.....\accumulators

............\.....\............\accumulators.hpp

............\.....\............\accumulators_fwd.hpp

............\.....\............\framework

............\.....\............\.........\accumulators

............\.....\............\.........\............\droppable_accumulator.hpp

............\.....\............\.........\............\external_accumulator.hpp

............\.....\............\.........\............\reference_accumulator.hpp

............\.....\............\.........\............\value_accumulator.hpp

............\.....\............\.........\accumulator_base.hpp

............\.....\............\.........\accumulator_concept.hpp

............\.....\............\.........\accumulator_set.hpp

............\.....\............\.........\depends_on.hpp

............\.....\............\.........\external.hpp

............\.....\............\.........\extractor.hpp

............\.....\............\.........\features.hpp

............\.....\............\.........\parameters

............\.....\............\.........\..........\accumulator.hpp

............\.....\............\.........\..........\sample.hpp

............\.....\............\.........\..........\weight.hpp

............\.....\............\.........\..........\weights.hpp

............\.....\............\numeric

............\.....\............\.......\detail

............\.....\............\.......\......\function1.hpp

............\.....\............\.......\......\function2.hpp

............\.....\............\.......\......\function3.hpp

............\.....\............\.......\......\function4.hpp

............\.....\............\.......\......\function_n.hpp

............\.....\............\.......\......\pod_singleton.hpp

............\.....\............\.......\functional

............\.....\............\.......\..........\complex.hpp

............\.....\............\.......\..........\valarray.hpp

............\.....\............\.......\..........\vector.hpp

............\.....\............\.......\functional.hpp

............\.....\............\.......\functional_fwd.hpp

............\.....\............\statistics

............\.....\............\..........\count.hpp

............\.....\............\..........\covariance.hpp

............\.....\............\..........\density.hpp

............\.....\............\..........\error_of.hpp

............\.....\............\..........\error_of_mean.hpp

............\.....\............\..........\extended_p_square.hpp

............\.....\............\..........\extended_p_square_quantile.hpp

............\.....\............\..........\kurtosis.hpp

............\.....\............\..........\max.hpp

............\.....\............\..........\mean.hpp

............\.....\............\..........\median.hpp

............\.....\............\..........\min.hpp

............\.....\............\..........\moment.hpp

............\.....\............\..........\parameters

............\.....\............\..........\..........\quantile_probability.hpp

............\.....\............\..........\peaks_over_threshold.hpp

............\.....\............\..........\pot_quantile.hpp

............\.....\............\..........\pot_tail_mean.hpp

............\.....\............\..........\p_square_cumulative_distribution.hpp

............\.....\............\..........\p_square_quantile.hpp

............\.....\............\..........\rolling_count.hpp

............\.....\............\..........\rolling_mean.hpp

............\.....\............\..........\rolling_sum.hpp

............\.....\............\..........\rolling_window.hpp

............\.....\............\..........\skewness.hpp

............\.....\............\..........\stats.hpp

............\.....\............\..........\sum.hpp

............\.....\............\..........\tail.hpp

............\.....\............\..........\tail_mean.hpp

............\.....\............\..........\tail_quantile.hpp

............\.....\............\..........\tail_variate.hpp

............\.....\............\..........\tail_variate_means.hpp

............\.....\......

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