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The-minimum-and-by-optimization
- 这是一个用于解决非线性最小二乘优化问题的Matlab程序，-This is a guarantee nonlinear least squares optimization problem of Matlab program.
Nneidianceshi1
- 原对偶内点法求解非线性最优化问题的测试程序，能准确快速的收敛到最优值-Primal dual interior point method for solving nonlinear optimization problem of the test procedure can accurately and quickly converge to the optimal value
Matlab_BP
- 于BP网络的权值优化是一个无约束优化问题，而且权值要采用实数编码，所以直接利用Matlab遗传算法工具箱。以下贴出的代码是为一个19输入变量，1个输出变量情况下的非线性回归而设计的，如果要应用于其它情况，只需改动编解码函数即可。-BP network weights optimization is a constrained optimization problem, and the right value to real-coded, so the direct use of the Matl
LLLIINDO61I
- LINDO用于求解线性规划与二次规划问题，LINGO除了具有LINDO的全部功能能外，还能用于求解非线性规划问题，也能用于一些线性与非线性方程(组)的求解，等等。 -LINDO for solving linear programming, quadratic programming problem in addition to all the functions can LINDO, LINGO, can also be used to solve nonlinear programmin
Study-of-Target-Tracking
- 本文讨论了小波神经网络在机动多目标跟踪中的应用,多目标跟踪就是主体为了维持对多个目标(客体)当前状态的估计而对所接收的量测信息进行处理的过程。以非线性大规模并行分布式处理为特征的神经网络可以解决传统的目标跟踪方法的难以解决的计算量组合爆炸问题以及需要确定机动目标的数学模型的问题, 将小波分析原理与神经网络相融合,提出了基于小波神经网络的目标跟踪方法来提高系统的学习能力、表达能力以及机动多目标状态的估计精度。-This article discusses the application of wa
bifurcation
- 利用c语言求方程组分岔图程序。 在非线性动力学及复杂经济学中经常用到类似的问题。-Demand equations bifurcation diagram program using c language. Often used in nonlinear dynamics and complex economics of a similar problem.
psoalgorithms
- 求解0-1二次规划的粒子群算法 先将离散的0-1变量约束转化成了不光滑方程的约束，再用磨光函数方法对其光滑化。最终，把原来的数学模型转化为可微的非线性规划问题。最后，粒子群优化算法求解-0-1 first discrete particle swarm algorithm for solving 0-1 quadratic programming variable constraint transformed into smooth equations and constraints, it
mtl_reg_sim_complinearized
- 多元非线性回归——岭回归方法，比常规的最小二乘更适合数据量较大的优化问题-Multiple nonlinear regression- ridge regression method is more suitable than the conventional least squares optimization problem of the large amount of data
matlab--jie-fang-cheng-zu
- 非线性方程组的求解是一个很麻烦的问题，应该对某一类方程组进行matlab求解-Nonlinear equations is a very troublesome problem, it should be of a certain type equations matlab solving
fem1d_nonlinear
- 一个matlab程序有关一维的非线性两点边界值问题有限元法-a program which applies the finite element method, with piecewise linear basis functions, to a nonlinear two point boundary value problem in 1D
LFM
- 针对贝叶斯滤波过程中存在的目标跟踪问题，提出几种典型的贝叶斯滤波方法，如EKF, UKF, PF和UPF 等，基于这些方法所构 建的框架，对它们进行性能测试和比较，并在非线性环境下，讨论这些方法的特点，仿真实验结果表明，在非线性非高斯环境下，UPF 方 法的性能是最优的。 -According to the bayesian filtering occurred in the process of target tracking problem, this paper puts forw
feixianxingzuixiaoerchengyouhua
- 用G-N法求解非线性最小二乘优化问题 用修正G-N法求解非线性最小二乘优化问题 用L-M法求解非线性最小二乘优化问题 -GN method for solving nonlinear least squares optimization problems using a modified GN method for solving nonlinear least squares optimization problems using LM method for solving non
nonlineshoot
- 非线性微分方程边值问题打靶算法Matlab程序-Nonlinear differential equations boundary value problem targeting algorithm Matlab procedures
Simulink_Files_DPD
- Nonlinear Distortion in Wireless Systems: Modeling and Simulation with Matlab一书中的源代码simulink文件.-This book covers the principles of modeling and simulation of nonlinear distortion in wireless communication systems with MATLAB® simulations and tec
YALMIP
- 一个matlab 工具包，可以解决非线性的优化问题，很好用-A matlab toolkit, you can solve the nonlinear optimization problem, and good use
UKF
- 基于非线性动力系统的无迹卡尔曼滤波matlab程序-onlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation.
svm
- 支持向量机模型用于预测分析效果显著，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages, and
sip
- solve constrained nonlinear optimization problem (Semi Infinite Programming)
neural-network
- 基于BP神经网络的非线性分类，及运用其解决异或问题，并对Iris数据进行分类-Nonlinear classification based on BP neural network and the xor problem, and its appplication on the data of Iris.
GA
- 该代码用遗传算法来优化多函数极值问题，可以很方便的解决非线性方程的极值-The code using a genetic algorithm to optimize multi-function extremum problem can easily solve nonlinear equations extremum