Improving the convergence rate of a hybrid input–output phasing algorithm by varying the reflection data weight

Research article (Acta Crystallographica Section A Foundations and Advances, 2017) · cited 11× · AI/ML
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Improving the convergence rate of a hybrid input–output phasing algorithm by varying the reflection data weight

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Improving the convergence rate of a hybrid input–output phasing algorithm by varying the reflection data weight is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving the convergence rate of a hybrid input–output phasing algorithm by varying the reflection data weight. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-the-convergence-rate-of-a-hybrid-inputoutput-phasing-algorithm-by-varying-the-reflection-data-weight
MLA “Improving the convergence rate of a hybrid input–output phasing algorithm by varying the reflection data weight.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-the-convergence-rate-of-a-hybrid-inputoutput-phasing-algorithm-by-varying-the-reflection-data-weight.
BibTeX @misc{4ortxyz_improving-the-convergence-rate-of-a-hybrid-inputoutput-phasing-algorithm-by-varying-the-reflection-data-weight_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving the convergence rate of a hybrid input–output phasing algorithm by varying the reflection data weight}}, year = {2026}, url = {https://4ort.xyz/entity/improving-the-convergence-rate-of-a-hybrid-inputoutput-phasing-algorithm-by-varying-the-reflection-data-weight}, note = {Accessed: 2026-05-24}}
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