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Description: fminunc，fminsearch, optimset, inlinee xitflag
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Size: 34091 |
Author: 呵呵 |
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Description: fminunc，fminsearch, optimset, inlinee xitflag-fminunc, fminsearch, optimset, inlinee xitflag
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Size: 33792 |
Author: 呵呵 |
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Description: 最快下降法求解无约束优化问题，f=10*(x(1)+x(2)-5)^2+(x(1)-x(2))^2
主程序dfp11.m如下：
oldoptions=optimset( fminunc )
options=optimset(oldoptions, LargeScale , off ) 采用中型优化算法
options11=optimset(options, HessUpdate , dfp ) DFG法，混合二、三次插值
[x11,fval11,exitflag11,output11]=fminunc( fun ,[0,2.5],options11)
-f=10*(x(1)+x(2)-5)^2+(x(1)-x(2))^2
主程序dfp11.m如下：
oldoptions=optimset( fminunc )
options=optimset(oldoptions, LargeScale , off ) 采用中型优化算法
options11=optimset(options, HessUpdate , dfp ) DFG法，混合二、三次插值
[x11,fval11,exitflag11,output11]=fminunc( fun ,[0,2.5],options11)
Platform: |
Size: 7168 |
Author: pengjingyong |
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Description: fminunc optimizer and mutual information
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Size: 1024 |
Author: hamraz |
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Description: 基于matlab的GPC广义预测控制算法。其中使用fminunc函数求解性能指标，而没采用传统的解析解法。-based on matlab gpc solution. function fminumc is used to sovle J， without troditionnal funtion
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Size: 1024 |
Author: 金鑫 |
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Description: 求解工程最优化即最大（小）值问题的常用Matlab函数及其使用方法-Ie, the maximum value of (small) problem solving engineering optimization commonly used Matlab functions and methods of use
Platform: |
Size: 26624 |
Author: 何婵 |
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Description: 介绍了规划问题建模及用Matlab实现的具体操作方法，详细解释了几种常用的求解线性规划问题和非线性规划问题的函数，如linprog，fminunc等-Planning problem modeling and specific methods of operation using Matlab detailed explanation of the function of several commonly used for solving linear programming problems and nonlinear programming problems such as linprog, fminunc
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Size: 78848 |
Author: 何婵 |
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Description: Filter can be FIR or IIR.
- Filter type can be lowpass, highpass, bandpass, or bandstop.
- Direct methods or optimization ones can be used during the design procedure.
In order to learn how you can use this toolbox, please copy all the codes included in the "Dig_Filter" folder into the current directory of your Matlab and type "help Dig_Filter".
Note 1:
At the moment, because of copyright issues, I removed bfgs , dfp , and inex_lsearch optimization algorithms. So, in the case of designing IIR filters using optimization algorithm, Optimization_Method in the toolbox just can work via fminunc which is a Matlab function.
IMPORTANT NOTE:
In the case of designing IIR filters using optimization methods, Dig_Filter uses MATLAB functions bfgs, dfp, and inex_lsearch. These functions are part of the MATLAB support materials of the following textbook:
A. Antoniou and W.-S. Lu, "Practical Optimization: Algorithms and
Applications", Springer, 2007-Filter can be FIR or IIR.
- Filter type can be lowpass, highpass, bandpass, or bandstop.
- Direct methods or optimization ones can be used during the design procedure.
In order to learn how you can use this toolbox, please copy all the codes included in the "Dig_Filter" folder into the current directory of your Matlab and type "help Dig_Filter".
Note 1:
At the moment, because of copyright issues, I removed bfgs , dfp , and inex_lsearch optimization algorithms. So, in the case of designing IIR filters using optimization algorithm, Optimization_Method in the toolbox just can work via fminunc which is a Matlab function.
IMPORTANT NOTE:
In the case of designing IIR filters using optimization methods, Dig_Filter uses MATLAB functions bfgs, dfp, and inex_lsearch. These functions are part of the MATLAB support materials of the following textbook:
A. Antoniou and W.-S. Lu, "Practical Optimization: Algorithms and
Applications", Springer, 2007
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Size: 11264 |
Author: anish |
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Description: 多分类学习及神经网络，机器学习相关，基于matlab计算-ex3.m- Octave script that will help step you through part 1
ex3 nn.m- Octave script that will help step you through part 2
ex3data1.mat- Training set of hand-written digits
ex3weights.mat- Initial weights for the neural network exercise
submitWeb.m- Alternative submission script
submit.m- Submission script that sends your solutions to our servers
displayData.m- Function to help visualize the dataset
fmincg.m- Function minimization routine (similar to fminunc)
sigmoid.m- Sigmoid function
[?] lrCostFunction.m- Logistic regression cost function
[?] oneVsAll.m- Train a one-vs-all multi-class classi er
[?] predictOneVsAll.m- Predict using a one-vs-all multi-class classi er
[?] predict.m- Neural network prediction function
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Size: 7608320 |
Author: 张伟强 |
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Description: 神经网络学习，基于matlab仿真，机器学习相关知识-ex4.m- Octave script that will help step you through the exercise
ex4data1.mat- Training set of hand-written digits
ex4weights.mat- Neural network parameters for exercise 4
submit.m- Submission script that sends your solutions to our servers
submitWeb.m- Alternative submission script
displayData.m- Function to help visualize the dataset
fmincg.m- Function minimization routine (similar to fminunc)
sigmoid.m- Sigmoid function
computeNumericalGradient.m- Numerically compute gradients
checkNNGradients.m- Function to help check your gradients
debugInitializeWeights.m- Function for initializing weights
predict.m- Neural network prediction function
[?] sigmoidGradient.m- Compute the gradient of the sigmoid function
[?] randInitializeWeights.m- Randomly initialize weights
[?] nnCostFunction.m- Neural network cost function
Platform: |
Size: 7609344 |
Author: 张伟强 |
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