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Unconstrained Optimization on CUTEst TQUARTIC (n=5000)
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0
Objective Value
ARC-Krylov(10)
-0.0322
0.18515
0.4025
0.61985
Sep 27, 2022
Objective Value
Gradient Norm
Min Hessian Eigenvalue
Iterations
Execution Time (s)
Updated 4d ago
Evaluation Results
Method
Method
Links
Objective Value
Gradient Norm
Min Hessian Eigenvalue
Iterations
Execution Time (s)
ARC-Krylov(10)
number of Lanczos basi...
2022.09
0
0
0.0004
46
16.09
ARC-ASEM(1)
number of eigenvalues...
2022.09
0
0
0.0004
46
15.47
ARC-ASEM(10)
number of eigenvalues...
2022.09
0
0
0.0004
46
16.18
ARC-CP
Subproblem Solver=Cauc...
2022.09
0.804
0.061
-0.0001
500
71.92
ARC-GD
Subproblem Solver=Grad...
2022.09
0.805
0.0277
-0
100
98.14
ARC-Krylov(1)
number of Lanczos basi...
2022.09
0.805
0.0276
-0
100
29.43
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