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Simplex Volume Maximization (SiVM): A matrix factorization algorithm with non-negative constrains and low computing demands for the interpretation of full spectral X-ray fluorescence imaging data
Research article (Microchemical Journal, 2017) · cited 20× · AI/ML
Simplex Volume Maximization (SiVM): A matrix factorization algorithm with non-negative constrains and low computing demands for the interpretation of full spectral X-ray fluorescence imaging data
Summary
Simplex Volume Maximization (SiVM): A matrix factorization algorithm with non-negative constrains and low computing demands for the interpretation of full spectral X-ray fluorescence imaging data is a scholarly article[1].
Key Facts
Simplex Volume Maximization (SiVM): A matrix factorization algorithm with non-negative constrains and low computing demands for the interpretation of full spectral X-ray fluorescence imaging data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Simplex Volume Maximization (SiVM): A matrix factorization algorithm with non-negative constrains and low computing demands for the interpretation of full spectral X-ray fluorescence imaging data. Retrieved May 24, 2026, from https://4ort.xyz/entity/simplex-volume-maximization-sivm-a-matrix-factorization-algorithm-with-non-negative-constrains-and-low-computing-demands
MLA“Simplex Volume Maximization (SiVM): A matrix factorization algorithm with non-negative constrains and low computing demands for the interpretation of full spectral X-ray fluorescence imaging data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/simplex-volume-maximization-sivm-a-matrix-factorization-algorithm-with-non-negative-constrains-and-low-computing-demands.
BibTeX@misc{4ortxyz_simplex-volume-maximization-sivm-a-matrix-factorization-algorithm-with-non-negative-constrains-and-low-computing-demands_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Simplex Volume Maximization (SiVM): A matrix factorization algorithm with non-negative constrains and low computing demands for the interpretation of full spectral X-ray fluorescence imaging data}}, year = {2026}, url = {https://4ort.xyz/entity/simplex-volume-maximization-sivm-a-matrix-factorization-algorithm-with-non-negative-constrains-and-low-computing-demands}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Simplex Volume Maximization (SiVM): A matrix factorization algorithm with non-negative constrains and low computing demands for the interpretation of full spectral X-ray fluorescence imaging data — https://4ort.xyz/entity/simplex-volume-maximization-sivm-a-matrix-factorization-algorithm-with-non-negative-constrains-and-low-computing-demands (retrieved 2026-05-24)
