Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization
Abstract: Matrix-variable optimization is a generalization of vector-variable optimization and has been found to have many important applications. To reduce computation time and storage requirement, ...
FORT LEAVENWORTH, Kansas — The Army’s Transformation Initiative has thrust the force into one of the fastest modernization ...
Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States The Jackson Laboratory, Farmington, Connecticut 06032, United ...
eventdd is a Stata program which estimates panel event study models and generates event-study plots. eventdd additionally includes a number of post-estimation procedures such as joint tests of ...
Abstract: Complex matrix derivatives play an important role in matrix optimization, since they form a theoretical basis for the Karush-Kuhn-Tucker (KKT) conditions associated with matrix variables. We ...
This study re-examines the non-linear relationship between inflation and economic growth in Southern African Development ...
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