Algorithm parameter settings. حسب Yue Guo (695495)

Line chart of influence propagation results of different algorithms when propagation probability p = 0.01. حسب Lihong Han (7280045)

الموضوعات:

Flowchart of the RIR algorithm. حسب Jiamin Hu (8972420)

"…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …"

Predictions from a Universal Value Function Approximator (UVFA) algorithm. حسب Sam Hall-McMaster (10343795)

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Structure of the Kuhn-Munkres Algorithm. حسب Qingnan Ji (22662198)

"…The algorithm dynamically adjusts weight coefficients based on the importance scores of each modality, while also incorporating a cross-modal correlation matrix as a constraint to improve the robustness of the matching process. …"

Flowchart of proposed fitness function algorithm. حسب Ferhat Yuna (21519851)

"…A mathematical model has been proposed for stock level optimization, but no feasible solution has been found. …"

Flowchart for the Tabu Search Algorithm [43]. حسب Ferhat Yuna (21519851)

"…A mathematical model has been proposed for stock level optimization, but no feasible solution has been found. …"

Performance comparison of different adoption algorithms in XGBoost model. حسب Wenguang Li (6528113)

الموضوعات:

Summary of key parameters used in the CSCAP algorithm. حسب Manxing Shi (22367181)

الموضوعات:

Comparison of algorithm running time under different numbers of tasks. حسب Yazhen Zhu (3595430)

الموضوعات:

Graph representation of all possible , where <i>A</i>⁺ is constrained to be an optimal solution for the example in Fig 1. حسب Jordan Moutet (21800145)

الموضوعات:

A sequence of intermediate solutions produced by the top-down phase on the input of Fig 1, leading to an optimal solution (step 5). حسب Jordan Moutet (21800145)

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An optimal solution <i>A</i>⁺ for the example in Fig 1, found following the steps detailed in Fig 4. حسب Jordan Moutet (21800145)

الموضوعات:

Graph representation of all possible , where <i>A</i>⁺ is constrained to be an optimal solution for the example in Fig 1. حسب Jordan Moutet (21800145)

الموضوعات:

Experiment 3: Comparison of FastEnsemble(Leiden-CPM) and Leiden-CPM on synthetic networks based on clustered real-world networks. حسب Yasamin Tabatabaee (18095491)

Demonstration of algorithm convergence. حسب Quyuan Wang (8724972)

"…To maintain dynamic market equilibrium, we develop two types of pricing algorithms, one based on stepped price adjustments for selected sellers, and another based on smoothed adjustments for all sellers. …"

State Function-Based Correction: A Simple and Efficient Free-Energy Correction Algorithm for Large-Scale Relative Binding Free-Energy Calculations حسب Runduo Liu (10756379)

الموضوعات:

Algorithms runtime comparison. حسب Meilin Zhu (688698)

"…Secondly, based on the idea of pre-optimization and dynamic adjustment, a two-stage dynamic optimization model of agricultural products joint distribution network under vehicles and customers sharing is established. …"

Diebold–Mariano test results: Based on CU indicators. حسب Feng Shen (151470)

Diebold–Mariano test results: Based on IP indicators. حسب Feng Shen (151470)