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Sola
Fortran编写的VOF经典算法，SOLA-VOF(VOF classical algorithms written in Fortran, SOLA-VOF)
- 2021-01-17 23:38:48下载
- 积分：1
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fft
用C++编写的一维和二维快速傅里叶变换程序(Prepared with C++ one-dimensional and two-dimensional fast Fourier transform procedure)
- 2013-11-04 16:19:50下载
- 积分：1
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UU
说明： c++语言求解稀疏矩阵方程组的ICCG法源程序。参考：《工程电磁场数值计算分析与综合》 附录（Fortran90）.(c++ solves sparse matrix equations with the ICCG method.Reference: " Analysis and Synthesis of Numerical Electromagnetic Field ," Appendix (Fortran90).)
- 2010-06-08 18:53:07下载
- 积分：1
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信号检测贝叶斯
使用Matlab编程，对教材74页例3.3.1进行编程仿真。其中，正电压A的值、噪声方差值、每个码元周期内的采样点数N自行设定（可设置为可调的变量）。噪声值可使用Matlab中产生高斯随机数的函数来进行仿真。贝叶斯检测判决式中，先验概率P(H1)=P(H0)，判断错误的代价因子设为1，判断正确的代价因子设为0.
按照上述参数的设定进行仿真，实现对仿真数据的贝叶斯检测判决；循环生成仿真数据，并进行判决结果的统计，即记录判决正确的次数，估计正确判决的概率。(The use of Matlab programming, teaching materials 74 pages of 3.3.1 programming simulation. Among them, the value of positive voltage A, the variance of noise, the number of sampling points in each symbol cycle (N) can be set by itself (adjustable variable). Noise values can be simulated using the function of generating Gauss random numbers in Matlab. In the Bias detection decision, the prior probability P (H1) =P (H0), the factor of error judgment is set to 1, and the correct cost factor is set to 0.
According to the simulation parameters and realize the judgment of Bayesian detection simulation data; generating cycle simulation data, statistics and decision, which records the correct number of judgment, the estimated probability of correct decision.)
- 2021-04-19 14:08:51下载
- 积分：1
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final_robotSearch-1.0_2learn-it
new robot search algorithms
- 2011-05-03 22:48:14下载
- 积分：1
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repeated-measures-ANOVA
用MATLAB实现单因素/两因素重复测量方差分析，自带工具包中只有非重复测量的方差分析函数ANOVA。anova_rm实现单因素；rm_anova2实现两因素( function stats = rm_anova2(Y,S,F1,F2,FACTNAMES) Two-factor, within-subject repeated measures ANOVA.For designs with two within-subject factors.
function [p, table] = anova_rm(X, displayopt)Single factor, repeated measures ANOVA.)
- 2021-01-26 17:58:37下载
- 积分：1
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BladedDLLInterface
This source file contains example PitchCntrl(), UserHSSBr(),
! UserVSCont(), and UserYawCont() routines that are used to interface
! FAST with a master controller implemented as a dynamic-link-library
! (DLL) in the style of Garrad Hassan s Bladed wind turbine software
! package. All four routines call routine BladedDLLInterface(), which
! contains a call to the Bladed-style DLL that evaluates as DISCON().
! Routine BladedDLLInterface() USEs a MODULE named
! BladedDLLParameters(), which stores values of PARAMETER constants
! used in the interface.
- 2013-09-05 03:49:38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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实验1
利用不动点迭代和牛顿迭代求解非线性方程解的理论(Theory of Solving Nonlinear Equations by Fixed Point Iteration and Newton Iteration)
- 2019-05-07 16:56:30下载
- 积分：1
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youhua
fortran最优化计算方法常用程序汇编
包括一维最优化部分、无约束优化部分、约束优化部分
0.618法，分数法、二次插值法、三次插值法
共轭梯度法、DFP变尺法（导数）、DFP变尺法（差分）、阻尼最小二乘法、鲍威尔法、模式搜索法、单纯形法
混合罚函数法（SUMT调用DFP）、混合罚函数法（SUMT调用鲍威尔法）、综合约束函数双下降法、可变容差法、复合形法、网格法、随机试验法、解线性规划的单纯形法(fortran optimization calculation method used to assemble
Including one-dimensional optimization section, part of unconstrained optimization, constrained optimization part
0.618, fractional method, quadratic interpolation, cubic interpolation
Conjugate gradient method, DFP becomes ruler Act (derivative), DFP variable scale method (differential), damped least squares method, Powell method, pattern search method, the simplex method
Mixed penalty function method (SUMT call DFP), mixed penalty function method (SUMT call Powell Law), integrated dual descent constraint functions, variable tolerance method, the complex method, grid method, random test, solving linear programming simplex Method)
- 2014-05-21 10:33:13下载
- 积分：1
