IEMS 459: Convex Optimization VIEW ALL COURSE TIMES AND SESSIONS Prerequisites Linear Algebra, Calculus , Real Analysis Description The goal of this course is to investigate in-depth and to develop ...

Abstract. We consider sensitivity functionals and Lagrange multiplier method for solving finite dimensional convex optimization problem.An analysis based on this property is also applied for ...

While naturally cast as a combinatorial optimization problem, variable or feature selection admits a convex relaxation through the regularization by the ℓ₁-norm. In this paper, we consider situations ...

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

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 ...

Generalised Entransy Dissipation (GED): An extension of entransy dissipation theory to address heat conduction problems with non-standard boundary conditions, leading to convex optimisation ...

The research of the systems and controls group is grounded on analytical foundations provided by various mathematical disciplines, such as control theory, optimization theory, dynamic systems and ...

RIKEN Center for Advanced Intelligence Project (AIP) houses more than 40 research teams ranging from fundamentals of machine learning and optimization, applications in medicine, materials, and ...