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096172

于 2018-04-05 发布 文件大小:34KB
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  应用方便的OrbMath数学运算库,适用于多种语言()

文件列表：

MJdoc\html\annotated.html, 2213 , 2003-07-26
MJdoc\html\classes.html, 2731 , 2003-07-26
MJdoc\html\files.html, 1265 , 2003-07-26
MJdoc\html\functions.html, 8791 , 2003-07-26
MJdoc\html\index.html, 1067 , 2003-07-26
MJdoc\html\namespacemembers.html, 2936 , 2003-07-26
MJdoc\html\namespaceorb.html, 111279 , 2003-07-26
MJdoc\html\namespaces.html, 1279 , 2003-07-26
MJdoc\html\OrbMath_8h-source.html, 41676 , 2003-07-26
MJdoc\html\structorb_1_1MATRIX33-members.html, 6456 , 2003-07-26
MJdoc\html\structorb_1_1MATRIX33.html, 36090 , 2003-07-26
MJdoc\html\structorb_1_1MATRIX44-members.html, 6754 , 2003-07-26
MJdoc\html\structorb_1_1MATRIX44.html, 38714 , 2003-07-26
MJdoc\html\structorb_1_1PLANE-members.html, 4570 , 2003-07-26
MJdoc\html\structorb_1_1PLANE.html, 16229 , 2003-07-26
MJdoc\html\structorb_1_1QUATERNION-members.html, 5805 , 2003-07-26
MJdoc\html\structorb_1_1QUATERNION.html, 28021 , 2003-07-26
MJdoc\html\structorb_1_1VECTOR2-members.html, 4264 , 2003-07-26
MJdoc\html\structorb_1_1VECTOR2.html, 15026 , 2003-07-26
MJdoc\html\structorb_1_1VECTOR3-members.html, 4449 , 2003-07-26
MJdoc\html\structorb_1_1VECTOR3.html, 15989 , 2003-07-26
MJdoc\html\structorb_1_1VECTOR4-members.html, 4634 , 2003-07-26
MJdoc\html\structorb_1_1VECTOR4.html, 16867 , 2003-07-26
MJdoc\html\doxygen.css, 1816 , 2003-07-26
3Rinclude\OrbMath.h, 39439 , 2003-07-26
5Nsource\OrbMath.cpp, 14763 , 2003-06-12
5Nsource\CVS\Entries, 48 , 2003-07-08
MJdoc\CVS\Entries, 56 , 2003-07-09
3Rinclude\CVS\Entries, 92 , 2003-07-26
vc60_proj\CVS\Entries, 93 , 2003-07-08
MJdoc\html\CVS\Entries, 1429 , 2003-07-09
MJdoc\OrbDoxygen, 7696 , 2003-07-26
MJdoc\CVS\Repository, 20 , 2003-07-08
5Nsource\CVS\Repository, 23 , 2003-07-08
3Rinclude\CVS\Repository, 24 , 2003-07-08
MJdoc\html\CVS\Repository, 25 , 2003-07-08
vc60_proj\CVS\Repository, 26 , 2003-07-08
3Rinclude\CVS\Root, 56 , 2003-07-08
5Nsource\CVS\Root, 56 , 2003-07-08
MJdoc\CVS\Root, 56 , 2003-07-08
MJdoc\html\CVS\Root, 56 , 2003-07-08
vc60_proj\CVS\Root, 56 , 2003-07-08
vc60_proj\OrbMath.dsp, 4792 , 2003-07-08
vc60_proj\OrbMath.dsw, 537 , 2003-07-07
3Rinclude\OrbMath.inl, 20595 , 2003-07-26
MJdoc\html\doxygen.png, 2352 , 2003-07-26
MJdoc\html\CVS, 0 , 2017-11-24
3Rinclude\CVS, 0 , 2017-11-24
5Nsource\CVS, 0 , 2017-11-24
MJdoc\CVS, 0 , 2017-11-24
vc60_proj\CVS, 0 , 2017-11-24
MJdoc\html, 0 , 2017-11-24
3Rinclude, 0 , 2017-11-24
5Nsource, 0 , 2017-11-24
MJdoc, 0 , 2017-11-24
vc60_proj, 0 , 2017-11-24

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    支持向量机作为统计学习理论的实现方法，能很好地解决非线性和高维数问题，克服了神经网络方法收敛慢、解不稳定、推广性差的缺点，近年来得到了广泛地研究，在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。(Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension problem, the neural network method to overcome the slow convergence, solution instability, bad promotion of sexual shortcomings, in recent years has been widely studied, at pattern recognition, signal processing, control, communications, etc. has been widely applied.)
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    2021-04-05 16:49:03下载
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    1.数据时随机产生的（产生1000个随机数），进行排序2.每一次数据排序之后，都可以看到排序的移动，交换次数以及排序的时间。 (1. After randomly generated data (generated 1000 random numbers), every sort 2. Sort the data, you can see the sort of move, switching times and sort of time.)
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    完成采样空间的采样，适合于响应面，近似模型之前的采样工作，文件夹中有具体介绍(The sampling space is completed. It is suitable for the response surface and the sampling work before the approximation of the model. The folders are introduced in detail.)
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