-
algothim
主要讲述了c的一些应用程序及其在具体地方的应用(C described some of the major applications and applications in specific areas)
- 2010-09-11 10:49:11下载
- 积分:1
-
eg1_IndependentProject_GPIO
说明: DSP28335芯片通用输入输出模块案例程序(some case codes about GPIO of DSP28335)
- 2020-06-22 20:00:01下载
- 积分:1
-
jisuanqi
matlab实现steffensen加速案例(matlab realize steffensen acceleration Case)
- 2013-10-21 19:53:43下载
- 积分:1
-
FFT
此代码是用MATLAB进行对数据做FFT变换(This code is done using MATLAB FFT transform data)
- 2014-05-05 20:47:23下载
- 积分:1
-
C++语言读取Windows系统硬盘信息
C++语言读取Windows系统硬盘信息
- 2019-12-05下载
- 积分:1
-
共轭梯度法
说明: 共轭梯度法(Conjugate Gradient)是介于最速下降法与牛顿法之间的一个方法,它仅需利用一阶导数信息,但克服了最速下降法收敛慢的缺点,又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点,共轭梯度法不仅是解决大型线性方程组最有用的方法之一,也是解大型非线性最优化最有效的算法之一。 在各种优化算法中,共轭梯度法是非常重要的一种。其优点是所需存储量小,具有步收敛性,稳定性高,而且不需要任何外来参数。(Conjugate gradient method Gradient) is a method between the steepest descent method and Newton's method. It only uses the first derivative information, but overcomes the disadvantage of slow convergence of steepest descent method, and avoids the disadvantage of storing and calculating Hesse matrix and solving inverse of Newton's method. Conjugate gradient method is not only one of the most useful methods to solve large-scale linear equations, but also the most effective method to solve large-scale nonlinear optimization One of the algorithms of. Among all kinds of optimization algorithms, conjugate gradient method is very important. It has the advantages of small storage, step convergence, high stability and no external parameters.)
- 2020-06-27 15:46:08下载
- 积分:1
-
本书的图书馆管理系统
一个菜单驱动的程序,以保持列表中使用链表表示的书籍
- 2022-03-04 04:31:13下载
- 积分:1
-
基于opencv的Harris角点检测
基于opencv的Harris焦点检测,平台是VS2012,
- 2022-01-31 16:01:03下载
- 积分:1
-
ExportedTest
xml file is exported
- 2013-03-27 10:30:28下载
- 积分:1
-
voiceRecognitionSX
这是一个基于DTW的语音识别算法,由matlab实现,相信对大家有帮助。(This is a DTW-based speech recognition algorithm by matlab to achieve, I believe that everyone has to help.)
- 2013-11-18 16:14:02下载
- 积分:1