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An Efficient First-Principles Saddle Point Searching Method Based on Distributed Kriging Metamodels

Research article (ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering, 2017) · cited 20× · AI/ML
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An Efficient First-Principles Saddle Point Searching Method Based on Distributed Kriging Metamodels

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An Efficient First-Principles Saddle Point Searching Method Based on Distributed Kriging Metamodels is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Efficient First-Principles Saddle Point Searching Method Based on Distributed Kriging Metamodels. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-first-principles-saddle-point-searching-method-based-on-distributed-kriging-metamodels
MLA “An Efficient First-Principles Saddle Point Searching Method Based on Distributed Kriging Metamodels.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-first-principles-saddle-point-searching-method-based-on-distributed-kriging-metamodels.
BibTeX @misc{4ortxyz_an-efficient-first-principles-saddle-point-searching-method-based-on-distributed-kriging-metamodels_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Efficient First-Principles Saddle Point Searching Method Based on Distributed Kriging Metamodels}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-first-principles-saddle-point-searching-method-based-on-distributed-kriging-metamodels}, note = {Accessed: 2026-05-24}}
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