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computational-fluid-dynamics
安德森的经典计算流体力学理论基础的学习用书。（英文版）(Anderson s classic theory of computational fluid dynamics-based learning book.)
- 2021-01-26 16:38:37下载
- 积分：1
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CLMCS
潮流计算中拉丁超立方采样的算法，可利用其进行概率潮流计算(Flow calculation Latin hypercube sampling algorithm, can use its probabilistic load flow calculation)
- 2021-04-06 19:39:02下载
- 积分：1
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jisuanqi
一个计算器，实现加减乘除等，适合初学者学习，代码很全，自己写的。(A calculator to realize, Math, etc., suitable for beginners to learn, the code is all that he wrote.)
- 2011-07-10 12:38:30下载
- 积分：1
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Tikhonov
地球物理反问题中带约束的Tikhonov正则化方法的应用(applications of constrained regularization method
)
- 2012-04-12 12:02:39下载
- 积分：1
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Parallel-inverse-solution
并联机构 正反解 六自由度并联机构空间运动结算 实例分析(DOF parallel mechanism inverse solution space motion parallel mechanism settled case analysis)
- 2021-03-20 11:59:18下载
- 积分：1
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118nodes
大规模配电网118节点的潮流计算程序，辐射状网络，含原始数据。(Large-scale distribution network 118 nodes of the power flow calculation procedures, radial network, with the original data.)
- 2021-02-01 15:50:00下载
- 积分：1
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threephaseshortcaculate
电力系统暂态分析中非常有用的三相短路计算程序，只要改变输入就可用于求解具体问题(power system transient analysis is very useful three-phase short-circuit the process. as long as the change in input can be used to solve specific problems)
- 2006-06-26 20:56:35下载
- 积分：1
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DXSNH
基于最小二乘的多项式拟合法的GPS周跳探测程序(Based on the least square polynomial fitting method of GPS cycle slip detection program
)
- 2021-02-14 10:49:49下载
- 积分：1
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fi100
关于超声波倒车雷达测距的，最大信噪比的独立分量分析算法，小波包分析提取振动信号中的特征频率。( About ultrasonic parking radar ranging, SNR largest independent component analysis algorithm, Wavelet packet analysis to extract vibration signal characteristic frequency.)
- 2017-03-16 13:14:36下载
- 积分：1
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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
