The table in this excel file contains detailed results of experiments on various benchmark test problems.
The Algorithms are: SDHAM (Structured Diagonal Hessian Algorithm) is an algorithm proposed by Santos and Hassan(2018), while ASDHA1 and ASDHA2 (Approx. Structured Diagonal Hessian Algorithm) are our proposed algorithms.
The metrics used in the comparison and their respective description are stated as follows:
No. Iter = Number of Iterations.
DIM = Dimensions.
MVP = Matrix vector product.
CPU TIME = CPU time taken.
Val of f = Value of the objective at the approx. solution.
F = Failure. More details about the work can be found in:
Please consider citing this article if you find it useful in your work as:
@article{yahaya2021structured, title={A structured quasi-Newton algorithm with nonmonotone search strategy for structured NLS problems and its application in robotic motion control}, author={Yahaya, Mahmoud Muhammad and Kumam, Poom and Awwal, Aliyu Muhammed and Aji, Sani}, journal={Journal of Computational and Applied Mathematics}, volume={395}, pages={113582}, year={2021}, publisher={Elsevier} }