Abstract: Simplex-structured matrix factorization (SSMF) is a common task encountered in signal processing and machine learning. Minimum-volume constrained unmixing (MVCU) algorithms are among the ...

1 Shanghai Collaborative Innovation Center of Agri-Seeds/School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China 2 Department of Animal Breeding and Reproduction, College of ...

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...

Catharina Capitain and Melanie Schüßler from the Faculty of Geosciences at the University of Tübingen, Tübingen, Germany describe a novel approach using matrix-matched semiquantification to ...

On April 3, 2025, the U.S. Environmental Protection Agency (EPA) announced changes on how the data matrix form (EPA Form 8570-35) is submitted to EPA, stating this change is an improvement to simplify ...

State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi’an 710069, China ...

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