Results 71 to 80 of about 258,824 (188)

Spectral Polyhedra

Forum of Mathematics, Sigma
A spectral convex set is a collection of symmetric matrices whose range of eigenvalues forms a symmetric convex set. Spectral convex sets generalize the Schur-Horn orbitopes studied by Sanyal–Sottile–Sturmfels (2011). We study this class of convex bodies,
Raman Sanyal, James Saunderson
doaj   +1 more source

Output‐Feedback H∞$$ {H}_{\infty } $$ Detector‐Based Control of Continuous‐Time Markov Jump Lur'e Systems With Sector‐Bound Optimization

International Journal of Robust and Nonlinear Control, Volume 36, Issue 12, Page 6304-6317, August 2026.
ABSTRACT This paper addresses the problem of dynamic output‐feedback H∞$$ {H}_{\infty } $$ detector‐based control for continuous‐time Markov Jump Lur'e Systems with uncertain transition rate matrices. In contrast to conventional approaches, the proposed synthesis conditions are derived using Finsler's lemma, introducing additional slack variables to ...
Lucas P. M. Silva, Cecilia F. Morais, Ricardo C. L. F. Oliveira   +2 more
wiley   +1 more source

A Robust Guiding Torque Control Method for Automatic Steering Using LMI Algorithm

IEEE Access, 2020
The existing path tracking methods usually neglect the effect of the drivers on the steering control. This paper proposes a robust steering control method of human-machine steering torque superposition based on linear matrix inequality (LMI) algorithm ...
Guangtong Bai, Chunjiang Bao, Jian Wu, Dexi Wu, Junda Zhang, Xiangkun He   +5 more
doaj   +1 more source

Trade and Selection With Heterogeneous Firms and Perfect Competition

Review of International Economics, Volume 34, Issue 3, Page 793-804, August 2026.
ABSTRACT This paper extends the Heckscher–Ohlin–Samuelson framework to allow for heterogeneous firms with capacity constraints. We show that the central theorems of the HOS model (as well as their standard generalizations via duality) carry over to our setting.
Xue Bai, Arpita Chatterjee, Kala Krishna, Hong Ma   +3 more
wiley   +1 more source

Convex underestimating relaxation techniques for nonconvex polynomial programming problems: computational overview

Journal of the Mechanical Behavior of Materials, 2015
This paper introduces constructing convex-relaxed programs for nonconvex optimization problems. Branch-and-bound algorithms are convex-relaxation-based techniques.
Keller André A.
doaj   +1 more source

Mizohata–Takeuchi inequalities for orthonormal systems

Journal of the London Mathematical Society, Volume 114, Issue 2, August 2026.
Abstract We establish some weighted L2$L^2$ inequalities for Fourier extension operators in the setting of orthonormal systems. In the process, we develop a direct approach to such inequalities based on generalized Wigner distributions, complementing the Schatten space approach that is prevalent in the wider context of estimates for such orthonormal ...
Jonathan Bennett, Neal Bez, Susana Gutiérrez, Shohei Nakamura, Itamar Oliveira   +4 more
wiley   +1 more source

Skew shapes, Ehrhart positivity, and beyond

Proceedings of the London Mathematical Society, Volume 133, Issue 2, August 2026.
Abstract A classical result by Kreweras (1965) allows one to compute the number of plane partitions of a given skew shape and bounded parts as certain determinants. We prove that these determinants expand as polynomials with nonnegative coefficients.
Luis Ferroni, Alejandro H. Morales, Greta Panova   +2 more
wiley   +1 more source

Measured‐State Conditioned Recursive Feasibility for Stochastic Model Predictive Control

International Journal of Robust and Nonlinear Control, Volume 36, Issue 11, Page 5964-5981, 25 July 2026.
ABSTRACT In this paper, we address the problem of designing stochastic model predictive control (SMPC) schemes for linear systems affected by unbounded disturbances. The contribution of the paper is rooted in a measured‐state initialization strategy. First, due to the nonzero probability of violating chance‐constraints in the case of unbounded noise ...
Mirko Fiacchini, Martina Mammarella, Fabrizio Dabbene   +2 more
wiley   +1 more source

Optimization of Schur-convex functions [PDF]

Mathematical Inequalities & Applications, 1998
The author shows that Schur-convex functions share some important properties with convex functions: in particular, basic properties of convex functions about extreme values that have been used widely in theoretical and applied mathematics. Examples of Schur-convex functions are constructed and some inequalities for them are established, including as ...
openaire   +2 more sources

On Riemann–Liouville Integral via Strongly Modified (h,m)-Convex Functions

Fractal and Fractional
The generalization of strongly convex and strongly m-convex functions is presented in this paper. We began by proving the properties of a strongly modified (h,m)-convex function. The Schur inequality and the Hermite–Hadamard (H-H) inequalities are proved
Ali N. A. Koam, Ammara Nosheen, Khuram Ali Khan, Mudassir Hussain Bukhari, Ali Ahmad, Maryam Salem Alatawi   +5 more
doaj   +1 more source