%0 Generic
%A luo, wenjun
%D 2023
%T Data underlying the paper: Two modified adaptive parameter conjugate gradient methods for unconstrained optimization
%U 
%R 10.4121/24164726-614c-45ac-bcdc-a32f11119416.v1
%K conjugate gradient method
%X <p>This dataset contains data used for the article "Two modified adaptive parameter conjugate gradient methods for unconstrained optimization" Wenjun Luo, and Zezhong Wu.</p><p><br></p><p>MDYHS.csv and MDYHSCD.csv correspond to the MDYHS method and MDYHS method in the first class of methods proposed in this paper respectively.</p><p>CSDCG(O=1).csv, CSDCG(O=gg).csv, CSDCG(O=-sg).csv, and CSDCG(O=sy).csv respectively correspond to the cases of O=1, O=gg, O=-sg, and O=sy of the second method proposed in this paper.</p><p>ACGSSV.csv, ADHCG.csv, ADHCG.csv, and NACGM.csv are other CG methods for comparison.</p><p>where</p><p>--Problem Indicates the name of the problem in the CUTEest library</p><p>--Dims represent the dimension of the problem</p><p>--Method Indicates the method used to solve the problem</p><p>--x is the optimal solution</p><p>--Func is the value of the function at x</p><p>--Grad represents the infinite norm of the gradient of the function at x</p><p>--Nfunc represents the number of function evaluations</p><p>--Ngrad represents the number of gradient evaluation</p><p>--Iter represents the number of iterations</p><p>--Seconds indicate the running time</p><p>--StateCode indicates whether the status is abnormal, where 1 indicates success.</p>
%I 4TU.ResearchData