Jun 14, 2024 · This paper addresses information design with linear best responses of agents, quadratic objective functions of an information designer, and a payoff state ...
7 days ago · The strong convexity assumption, adaptive coefficient weights, and a new upper bound on step-sizes are used to demonstrate that linear convergence is possible.
Jun 13, 2024 · Duality properties for linear optimization are nice and simple. Even if the linear ... continuous problems. 15. Page 19. 6.1 Linear Optimization. The simplest ...
May 28, 2024 · This proposal addresses the development of the theory and implementation of algorithms for semidefinite programming (SDP) and also investigates the applications ...
May 30, 2024 · Using strong duality and an LP method for finding a maximal element of a non-negative convex set, we derive a new algorithm which computes the affine hull of a ...
Jun 13, 2024 · Duality properties for linear optimization are nice and simple. Even if the linear ... continuous problems. 16. Page 20. 6.1 Linear Optimization. The simplest ...
Jun 6, 2024 · Theorem 2 is a kind of strong duality theorem: Even though the argument is non-constructive, it gives us assurance that the bounds are tight, thereby motivating ...
5 days ago · In classical computers, a general approach is applying Cholesky Factorization to solve the NES, because it has a symmetric positive definite coefficient matrix.
May 30, 2024 · In this paper we present a 2-approximation algorithm for the k-center problem with triangle inequality. This result is “best possible” since for any δ < 2 ...
Missing: Symmetric | Show results with:Symmetric
May 31, 2024 · with constant coefficients, Linearized stability, Lyapunov functions, ... and strong duality; Balanced and unbalanced transportation problems. •. Initial ...