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Showing 1 - 20 results of 22 for search '(( binary basic based optimization algorithm ) OR ( lines used wolf optimization algorithm ))', query time: 0.53s Refine Results
  1. 1
    Details of 23 basic benchmark functions.

    Details of 23 basic benchmark functions. by Ying Li (38224)

    Published 2024
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  2. 2
    Performance on GradEva.

    Performance on GradEva. by Jamilu Yahaya (18563445)

    Published 2024
    “…We establish the global convergence of these methods for four different parameters using Wolfe LSE. Our algorithm achieves this without regular restart and assumption of convexity regarding the objective functions. …”
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  3. 3
    The considered test problems.

    The considered test problems. by Jamilu Yahaya (18563445)

    Published 2024
    “…We establish the global convergence of these methods for four different parameters using Wolfe LSE. Our algorithm achieves this without regular restart and assumption of convexity regarding the objective functions. …”
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  4. 4
    Performance on FunEva.

    Performance on FunEva. by Jamilu Yahaya (18563445)

    Published 2024
    “…We establish the global convergence of these methods for four different parameters using Wolfe LSE. Our algorithm achieves this without regular restart and assumption of convexity regarding the objective functions. …”
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  5. 5
    Performance on Iter.

    Performance on Iter. by Jamilu Yahaya (18563445)

    Published 2024
    “…We establish the global convergence of these methods for four different parameters using Wolfe LSE. Our algorithm achieves this without regular restart and assumption of convexity regarding the objective functions. …”
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  6. 6
    Continuation of Table 2.

    Continuation of Table 2. by Jamilu Yahaya (18563445)

    Published 2024
    “…We establish the global convergence of these methods for four different parameters using Wolfe LSE. Our algorithm achieves this without regular restart and assumption of convexity regarding the objective functions. …”
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  7. 7
    Matching percentages of pairwise comparisons within repeats of the same scan settings for D (default setting) and C (chosen optimal setting).

    Matching percentages of pairwise comparisons within repeats of the same scan settings for D (default setting) and C (chosen optimal setting). by Melvin Geubbelmans (19565593)

    Published 2024
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  8. 8
    Table of companies.

    Table of companies. by Nasiru Salihu (14803855)

    Published 2025
    “…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”
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  9. 9
    Table of Stock allocation.

    Table of Stock allocation. by Nasiru Salihu (14803855)

    Published 2025
    “…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”
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  10. 10
    CPUT performance profile.

    CPUT performance profile. by Nasiru Salihu (14803855)

    Published 2025
    “…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”
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  11. 11
    NOI performance profile.

    NOI performance profile. by Nasiru Salihu (14803855)

    Published 2025
    “…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”
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  12. 12
    Table of mean of returns.

    Table of mean of returns. by Nasiru Salihu (14803855)

    Published 2025
    “…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”
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  13. 13
    Table of covariance between stocks ().

    Table of covariance between stocks (). by Nasiru Salihu (14803855)

    Published 2025
    “…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”
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  14. 14
    NOF performance profile.

    NOF performance profile. by Nasiru Salihu (14803855)

    Published 2025
    “…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”
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  15. 15
    Table_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf

    Table_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf by Wenchao Zhang (1324959)

    Published 2021
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  16. 16
    Table_2_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf

    Table_2_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf by Wenchao Zhang (1324959)

    Published 2021
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  17. 17
    Presentation_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf

    Presentation_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf by Wenchao Zhang (1324959)

    Published 2021
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  18. 18
    Table_3_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf

    Table_3_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf by Wenchao Zhang (1324959)

    Published 2021
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  19. 19
    Data_Sheet_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.zip

    Data_Sheet_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.zip by Wenchao Zhang (1324959)

    Published 2021
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  20. 20
    Image_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.tif

    Image_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.tif by Wenchao Zhang (1324959)

    Published 2021
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