News

A special mention in the literature on Semidefinite Programming deserves the Handbook of Semidefinite Programming edited by H. Wolkowicz, R. Saigal and L. Vandenberghe in 2000, that covered the ...
Unfortunately, the statistical properties of such convex relaxations are well understood only in a few cases [compressed sensing being the most important success story (12–14)].In this paper we use ...
We show that the maximum fidelity obtained by a positive partial transpose (p.p.t.) distillation protocol is given by the solution to a certain semidefinite program. This gives a number of new lower ...
We show that the design of the optimal detector can be formulated as a semidefinite programming problem. Based on this formulation, we derive a set of necessary and sufficient conditions for an ...
Course Description: Linear Programs (LPs) and Semidefinite Programs (SDPs) are central tools in the design and analysis of algorithms. In this course, we will study the mathematical foundations behind ...
Polynomial optimization problem solver. Uses relaxation to convert the problem into Semidefinite programming. Can be also used just as Semidefinite programming solver. - PavelTrutman/polyopt ...
Semidefinite Programming (SDP)-Based Satellite Attitude Control This project implements a constrained quaternion-based attitude control system for a satellite using semidefinite programming(SDP). The ...
Keywords: tensegrity, deformation planning, path planning, semidefinite programming, bounding volumes. Citation: Savin S and Klimchik A (2022) Morphing-Enabled Path Planning for Flying Tensegrity ...
When interest rate dynamics are described by the Libor market model as in Brace et al (1997), we show how some essential risk-management results can be obtained from the dual of the calibration ...