Convex optimisation constitutes a fundamental area in applied mathematics where the objective is to identify the minimum of a convex function subject to a set of convex constraints. This framework ...

where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...

This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; optimality conditions ...

SIAM Journal on Numerical Analysis, Vol. 51, No. 2 (2013), pp. 1134-1162 (29 pages) Alternating linear schemes (ALS), with the alternating least squares algorithm a notable special case, provide one ...

Mathematics of Operations Research, Vol. 42, No. 3 (August 2017), pp. 662-691 (30 pages) Recently, in He et al. [He BS, Tao M, Yuan XM (2012) Alternating direction method with Gaussian back ...

Scientists have recently made significant progress in the field of quantum technology, developing a series of efficient reconstruction techniques for bosonic states encoded in electromagnetic fields.

According to the latest information from the National Intellectual Property Administration, Hangzhou Dianzi University and Hangzhou Bashi Space Artificial Intelligence Information Technology Co., Ltd.

This course is available on the BSc in Data Science, BSc in Mathematics and Economics, BSc in Mathematics with Data Science, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and ...

This course is available on the BSc in Business Mathematics and Statistics, BSc in Mathematics and Economics, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and Business. This ...