搜索资源列表
gama
- 伽马分布源代码可以看看调试通过运行，伽马分布源代码可以看看调试通过运行-Gamma distribution can look at the source code
caoliu
- PQ分解法潮流计算程序。既可以用于高压输电网的潮流解算，又可以用于低压配电网的潮流解算，还可以同时解算输电网 加配电网的混合潮流问题。-PQ decomposition process flow calculation. Both high-voltage transmission networks can be used to calculate the trend, but also can be used in the trend of low voltage distribution
integrate(nu)
- This GUI can be used by entering nu at the MATLAB command prompt. The user can either select a function (f(x)) of their choice or a statistical distribution probability distribution function to plot over a user defined range. The function s integral
split_step_fourier_method
- 使用分布傅立叶法计算非线性薛定谔方程。可以得到光纤非线性传输特性。-Fourier method using the distribution of nonlinear Schr枚dinger equation. Can be non-linear optical transmission characteristics.
stlib100
- 可进行多种分布函数的计算，包括求解均值，方差等。可在进行统计学程序编辑时使用。-Can be calculated a variety of distribution functions, including the solution of the mean, variance and so on. Carrying out statistical procedures can be used to edit.
1dfdtd
- 研究FDTD模拟一维光子晶体中的光波传输，并利用此方法计算了电磁波在一维光子晶体中的电场和磁场的空间分布以及一维光子晶体的透射谱。-FDTD simulation study of one-dimensional photonic crystal of light transmission, and use this method to calculate the electromagnetic wave in one-dimensional photonic crystal in the el
gaussrand
- 生成标准正态分布的随机数，也可由此随机数生成其他的随机数，数对数正态分布随机数。-Standard normal distribution to generate the random numbers can also be a result of other random number generator random number, the number of log-normal distribution of random numbers.
AMeucciRiskandAssetAllocationRoutines
- 经济学专业代码，单变量分布，多变量分布，市场模型，评价分配，优化分配，贝叶斯估计，风险估计等代码-Economics professional code, single-variable distribution, multi-variable distribution, market model, evaluation of the distribution, optimize distribution, Bayesian estimation, risk estimation code
several_randoms
- 随机数变量产生,包括满足均匀分布、泊松分布等各种分布-Random numbers generated variables, including the needs of uniform distribution, Poisson distribution and other distribution
Stateestimationindistributiongrids
- observable distribution grid are investigated. A distribution grid is observable if the state of the grid can be fully determined. For the simulations, the modified 34-bus IEEE test feeder is used. The measurements needed for the state estimati
sc
- score检验统计，随机分布在gamma=-1~+1之间的假设检验。-score test statistics, the random distribution in the gamma =- 1 ~+1 between the hypothesis testing
14stdt0
- 特殊函数T分布函数的计算,有兴趣的可以-Special function T distribution function calculation, there is interested can try
hist_plot_clear_tworeg_sum
- 根据输入的频数数据，自动做出频率分布的条形图。图形美观，简单明了-According to the frequency of input data, automatically make a bar graph of frequency distribution. Beautiful graphics, easy to understand
svd
- SVD奇异向量分析法，是一种常用的分析气象数据时间空间相关分布的研究方法，本程序可以直接使用。-SVD singular vector analysis, is a common analysis of meteorological data distribution in time and space-related research methods, this procedure can be used directly.
makefuyuce
- Autoregressive Markov Switching Model函数用于评估、仿真及预测自回归的马尔可夫转换模型。可以选择用于模型估计的分布函数。用于研究时间序列结构性变化，分析金融、股市乃至通货膨胀的研究-Autoregressive Markov Switching Model function for the assessment, simulation and forecasting autoregressive Markov switching model. Estimate
shuangwen
- 计算稀土离子Tm3+，Ho3+共掺晶体双稳特性，基于速率方程计算不同泵浦光泵浦时各能级粒子数分布-Calculation of rare-earth ion Tm3+, Ho3+ co-doped crystal bistable characteristics, based on the rate equations of different pump pump level at the time of particle number distribution
fone
- 计算Tm，Ho共掺光纤激光器稳态工作时，粒子数沿光纤长度方向上的分布情况以及输出特性-Calculation of Tm, Ho co-doped fiber laser steady-state work, the number of particles along the fiber length direction, as well as the distribution of the output characteristics
dianlubuxian
- 用动态规划算法解决电路分布问题-Using dynamic programming algorithm to solve the distribution problem of circuit
K_SIRP
- SIRP法仿真K分布杂波，之前有下载过类似的，但是建立非线性表时的函数定义是有错误的，进行了修改，可以得到较好的估计效果-Simulating K distribution clutter by SIRP, similar to the code which been downloaded before, but when the establishment of non-linear function is wrong and modified, you can get a better es
STAT_K_FIT
- 用于估计k-distribution的参数-Used to estimate the parameters of the k-distribution