Leveraging memory effects and gradient information in consensus-based optimisation: On global convergence in mean-field law

Research article (European Journal of Applied Mathematics, 2023) · cited 13× · AI/ML
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Leveraging memory effects and gradient information in consensus-based optimisation: On global convergence in mean-field law

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Leveraging memory effects and gradient information in consensus-based optimisation: On global convergence in mean-field law is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Leveraging memory effects and gradient information in consensus-based optimisation: On global convergence in mean-field law. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-memory-effects-and-gradient-information-in-consensus-based-optimisation-on-global-convergence-in-mean-field-l
MLA “Leveraging memory effects and gradient information in consensus-based optimisation: On global convergence in mean-field law.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-memory-effects-and-gradient-information-in-consensus-based-optimisation-on-global-convergence-in-mean-field-l.
BibTeX @misc{4ortxyz_leveraging-memory-effects-and-gradient-information-in-consensus-based-optimisation-on-global-convergence-in-mean-field-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging memory effects and gradient information in consensus-based optimisation: On global convergence in mean-field law}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-memory-effects-and-gradient-information-in-consensus-based-optimisation-on-global-convergence-in-mean-field-l}, note = {Accessed: 2026-05-24}}
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