Results 111 to 120 of about 49,656 (213)
Complexity of the Positive Semidefinite Matrix Completion Problem with a Rank Constraint [PDF]
18 pages, 3 ...
Nagy, M., Laurent, M., Varvitsiotis, A.
openaire +3 more sources
Dissipative energy functionals of passive linear time‐varying systems
Abstract The concept of dissipativity plays a crucial role in the analysis of control systems. Dissipative energy functionals, also known as Hamiltonians, storage functions, or Lyapunov functions, depending on the setting, are extremely valuable to analyze and control the behavior of dynamical systems, but in general circumstances they are very ...
Riccardo Morandin, Dorothea Hinsen
wiley +1 more source
Reverse isoperimetric inequalities for Lagrangian intersection Floer theory
Abstract We extend Groman and Solomon's reverse isoperimetric inequality to pseudoholomorphic curves with punctures at the boundary and whose boundary components lie in a collection of Lagrangian submanifolds with intersections locally modelled on Rn∩(Rk×−1Rn−k)$\mathbb {R}^n\cap (\mathbb {R}^{k}\times \sqrt {-1}\mathbb {R}^{n-k})$ inside Cn$\mathbb {C}
J. ‐P. Chassé, J. Hicks, Y. J. Nho
wiley +1 more source
A Semidefinite Programming Approach for Harmonic Balance Method
The harmonic balance method is broadly employed for analyzing and predicting the periodic steady-state solution. Most of the traditional methods in the literature do not guarantee global optimality. Due to its nonconvexity, it is a complex task to find a
Cheng H. Yang, Ben S. Deng
doaj +1 more source
Observer‐Based Stabilization of Positive Linear System With Disturbances
ABSTRACT This article addresses the disturbance rejection and output stabilization control of positive linear systems. First, two disturbance observers (DOs) are proposed to estimate actuator‐channel and sensor‐channel disturbances, while a positive state observer is designed for state estimation.
Changsheng Zhou +5 more
wiley +1 more source
General Zagreb adjacency matrix [PDF]
Zhen Lin
doaj +1 more source
Optimal solution of the nearest correlation matrix problem by minimization of the maximum norm [PDF]
The nearest correlation matrix problem is to find a valid (positive semidefinite) correlation matrix, R(m,m), that is nearest to a given invalid (negative semidefinite) or pseudo-correlation matrix, Q(m,m); m larger than 2.
Mishra, SK
core +1 more source
Gaussian mixtures closest to a given measure via optimal transport
Given a determinate (multivariate) probability measure $\mu $, we characterize Gaussian mixtures $\nu _\phi $ which minimize the Wasserstein distance $W_2(\mu ,\nu _\phi )$ to $\mu $ when the mixing probability measure $\phi $ on the parameters $(\mathbf{
Lasserre, Jean B.
doaj +1 more source
The multitemporal polarimetric SAR (PolSAR) data contains the scattering change information during the growth of crops. However, the current classification methods usually directly use the addition of features extracted at single-temporal or use the ...
Qiang Yin +6 more
doaj +1 more source
A Riemannian regularized Gauss–Newton method for low-rank matrix completion
In this paper, we propose and analyze a Riemannian Gauss–Newton method for the low-rank matrix completion problem. Different from the existing second-order Riemannian optimization methods for this problem, we adopt the approximate Riemannian Hessian of ...
Xiaojing Zhu, Fengyi Yuan
doaj +1 more source

