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tube-charge-pressure-established
管型燃烧固体火箭发动机压强建立过程计算程序 输入为比热比，燃气气体常数，点火温度，推进剂密度，装药直径（内径和外径），喷管喉部直径，装药体积，燃速相关常数 输出为压强和工作时间(tube type of solid rocket motor combustion pressure build process calculation programs for heat input than, gas gas constant, the ignition temperature, propellant density, charging diameter (inside and outside), nozzle throat diameter, charging volume, burning rate pressure and related constant output to work time )
- 2011-12-26 17:00:19下载
- 积分：1
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禁忌算法 C++
禁忌搜索算法是一种全局性邻域搜索算法，模拟人类具有记忆功能的寻优特征。它通过局部邻域搜索机制和相应的禁忌准则来避免迂回搜索，并通过破禁水平来释放一些被禁忌的优良状态，进而保证多样化的有效探索，以最终实现全局优化(Tabu search algorithm)
- 2018-04-13 09:03:34下载
- 积分：1
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ductile-fracture
在fortran环境下编写ductile_fracture子程序，可以通过MARC来调用，实现板材成形中破裂过程的可视化(Written in fortran environment ductile_fracture subroutines can be invoked by MARC, realized in sheet metal forming rupture process visualization)
- 2015-07-22 18:24:09下载
- 积分：1
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kalmanfilt
说明： 本程序是AR(2)模型进行数据建模，再进行kalman滤波，进行数据去躁处理，尤其用在光纤陀螺上(AR (2) model for data modeling, further Kalman filtering, data processing to impatient, especially with the fiber gyro)
- 2005-09-13 11:45:52下载
- 积分：1
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Lasso
lasso regression. It is very good to use for statics processing.
- 2010-01-24 23:33:07下载
- 积分：1
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Regularization-Method
正则化方法包括Tikhonov，tsvd,ttls,tgsvd,csvd(Regularization Method include Tikhonov，tsvd,ttls,tgsvd,csvd.)
- 2012-03-05 23:28:02下载
- 积分：1
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zip
说明： 基于MATLAB SIMULINK的F-14战斗机俯仰运动仿真，包含风载模型，控制模型等(Pitch motion simulation of F-14 Fighter Based on MATLAB Simulink, including wind load model, control model, etc)
- 2020-03-14 00:15:24下载
- 积分：1
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UMAT
abaqus Umat 计算复合材料的损伤问题，可以学习一下(abaqus umat subroutine for damage of the composite material)
- 2021-01-14 19:48:47下载
- 积分：1
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Conjugate-Gradient-Method
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 (Conjugate Gradient) is between the steepest descent method between the method and Newton' s method, it takes only a first derivative information, but to overcome the steepest descent method convergence slow shortcomings, but also to avoid the Newton method needs to be stored Hesse and disadvantages of computing inverse matrix and the conjugate gradient method is not only one of the most useful methods to solve large linear equations, solution of large-scale nonlinear optimization is one of the most effective algorithm. In various optimization algorithm, conjugate gradient method is a very important one. The advantage is that a small amount of memory required, with step convergence, high stability, and does not require any external parameters.)
- 2017-03-14 15:48:15下载
- 积分：1
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markov
book on markov models and techniques
- 2010-02-21 16:52:31下载
- 积分：1
