A matrix is a rectangular array of numbers, symbols, or expressions arranged in rows and columns. They are a crucial part of linear algebra and have various applications in fields like engineering, ...

The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the literature of a ...

Abstract: Singular Value Decomposition (SVD) is a well studied research topic in many fields and applications from data mining to image processing. Data arising from these applications can be ...

Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 34, No. 4 (Dec., 1972), pp. 387-392 (6 pages) For the matritx equation AXB = C, we obtain the general solution X of a ...

Abstract: In recent years, a large number of studies have shown that low rank matrix learning (LRML) has become a popular approach in machine learning and computer vision with many important ...