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DVHop
针对运用最小二乘法求解DV-Hop定位算法带来的节点定位误差较大的问题，提出基于代数重建法的DV-Hop定位算法(Least square method for the use of DV-Hop localization algorithm node localization errors caused by the larger issues, proposed algebraic reconstruction method based on DV-Hop localization algorithm)
- 2021-04-18 16:48:52下载
- 积分：1
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源代码3一元线性回归
一元线性回归，数值分析方面可参考(one yuan linear regression, numerical analysis can look at the reference)
- 2021-05-09 16:58:35下载
- 积分：1
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hardware
FFT变换，有硬件说明架构和框图，说明傅里叶变换的原理和意义，同时附有128点的傅里叶变换(FFT )
- 2013-03-17 13:38:52下载
- 积分：1
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ansys二次开发
ansys二次开发 开发语言主要基于UIDL和APDL开发方法 来源网络(ansys secondary development source. UIDL and APDL develapment langrage.)
- 2020-06-23 13:20:02下载
- 积分：1
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Workshop7
An example of using a matrix object in order to pass values and complete a function.
- 2015-12-10 23:32:02下载
- 积分：1
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层次分析法求权重
说明： 可用于层次分析法比较评价，主函数输入初始矩阵，调用层次分析函数(It can be used for comparative evaluation of analytic hierarchy process. The main function input the initial matrix and call the analytic hierarchy process function.)
- 2020-06-19 11:40:02下载
- 积分：1
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Mur3DFDTD
说明： 三维FDTD,matlal编程,mur边界条件,平面波光源(Three-dimensional FDTD, matlal programming, mur boundary conditions, plane wave light source)
- 2020-09-11 18:57:59下载
- 积分：1
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water-drop-vof
用Fluent VOF模型模拟单个小水滴落入盛水的水杯之中(Fluent VOF model simulations using a single drop falling into a water glass)
- 2021-04-01 22:19:07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
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Ising
用Monte-Carlo方法解决二维Ising模型(Monte-Carlo method used to solve two-dimensional Ising model)
- 2008-12-30 11:19:17下载
- 积分：1
