Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx)
Summary
Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx) is a scholarly article[1].
Key Facts
Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx)'s instance of is recorded as scholarly article[2].
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx). Retrieved May 24, 2026, from https://4ort.xyz/entity/accelerated-microstructure-imaging-via-convex-optimisation-for-regions-with-multiple-fibres-amicox
MLA“Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accelerated-microstructure-imaging-via-convex-optimisation-for-regions-with-multiple-fibres-amicox.
BibTeX@misc{4ortxyz_accelerated-microstructure-imaging-via-convex-optimisation-for-regions-with-multiple-fibres-amicox_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx)}}, year = {2026}, url = {https://4ort.xyz/entity/accelerated-microstructure-imaging-via-convex-optimisation-for-regions-with-multiple-fibres-amicox}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx) — https://4ort.xyz/entity/accelerated-microstructure-imaging-via-convex-optimisation-for-regions-with-multiple-fibres-amicox (retrieved 2026-05-24)
