Description: 用MATLAB求解无约束的问题,主要有最速下降法,牛顿法,共轭梯度法,变尺度法(DFP和BFGS法),非线性最小二乘法。
用MATLAB求解有约束的问题,主要是外惩罚函数和广义乘子法。
以及一些对具体问题的分析,MATLAB的代码在文档里都有。
-Using MATLAB to solve the problem of non-binding, there are the steepest descent method, Newton method, conjugate gradient method, variable metric method (DFP and BFGS method), nonlinear least square method. Using MATLAB to solve the problem of binding, mainly outside the penalty function method and generalized multipliers. As well as some specific issues for analysis, MATLAB code in the document, are limitless. Platform: |
Size: 81920 |
Author:ljw |
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Description: 最优化计算方法中 有关于拟牛顿法的一段小代码 可以-Optimization method in the Quasi-Newton method on a small section of code that can look at Platform: |
Size: 1024 |
Author:redgate |
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Description: Hidden-Unit Conditional Random Fields
工具箱,可以用于训练linearCRF和和L.J.P. van der Maaten, M. Welling
提出的huCRF-We provide Matlab code that implements the training and evaluation of hidden-unit CRFs, as well as code to reproduce the results of our experiments. The code implements four different training algorithms: (1) a batch learner that uses L-BFGS, (2) a stochastic gradient descent learner, (3) an online perceptron training algorithm, and (4) an online large-margin perceptron algorithm. The code can also be used to perform (conditional) herding in hidden-unit CRFs.
Platform: |
Size: 165888 |
Author:王磊 |
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