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libqp
libqp
 
 
.gitignore
.gitignore
 
 
ADMMmat.m
ADMMmat.m
 
 
ADMMmat.m~
ADMMmat.m~
 
 
CrossV.m
CrossV.m
 
 
GenedataCIofm.mat
GenedataCIofm.mat
 
 
Main_fun.m
Main_fun.m
 
 
Main_fun.m~
Main_fun.m~
 
 
NRTI_DataSet.txt
NRTI_DataSet.txt
 
 
README.md
README.md
 
 
allret.mat
allret.mat
 
 
ciomain.m
ciomain.m
 
 
genToy.m
genToy.m
 
 
getallattr.py
getallattr.py
 
 
learn_coefficients.m
learn_coefficients.m
 
 
loadData.m
loadData.m
 
 
loadImage.m
loadImage.m
 
 
mypredict.m
mypredict.m
 
 
mypredict_another_cri.m
mypredict_another_cri.m
 
 
nesterov_SVM.m
nesterov_SVM.m
 
 
nesterov_SVM_testspeed.m
nesterov_SVM_testspeed.m
 
 
qpsolver.m
qpsolver.m
 
 
qpsolver.m~
qpsolver.m~
 
 
testModel.m
testModel.m
 
 
transform_data.m
transform_data.m
 
 
参数_结果.xlsx
参数_结果.xlsx
 
 

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CIOFM2

newest version of CIOFM use ADMM to optimize the original regularized problem,and use soft-thresholding to handle the L1 and nuclear norm for the QP,I use the existing package implemented in C，which will be faster than matlab。

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newest version of CIOFM

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