Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization is a scholarly work by Benjamin Recht, Pablo Parrilo, and Maryam Fazel, published in 2010 in ''SIAM Review''. The main subjects of the publication include mathematics, Restricted isometry property, matrix norm, indoor positioning system, linear map, mathematical optimization, compressed sensing, matrix equation, rank, independent component analysis, minification, affine transformation, and combinatorics. The authors present several random\nensembles of equations where the restricted isometry property holds with\noverwhelming probability.