Minimization of the Pseudospectral Abscissa of a Quadratic Matrix Polynomial
Fuente:
arXiv
Saved in:
| Main Authors: | Mehrmann, Volker, Mengi, Emre |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large-Scale Minimization of the Pseudospectral Abscissa
by: Aliyev, Nicat, et al.
Published: (2022)
by: Aliyev, Nicat, et al.
Published: (2022)
Approximation of the Pseudospectral Abscissa via Eigenvalue Perturbation Theory
by: Ahmed, Waqar, et al.
Published: (2025)
by: Ahmed, Waqar, et al.
Published: (2025)
Characterization of stability radii for robustly asymptotically stable dissipative Hamiltonian differential-algebraic systems
by: Benner, Peter, et al.
Published: (2026)
by: Benner, Peter, et al.
Published: (2026)
Eigenstructure perturbations for a class of Hamiltonian matrices and solutions of related Riccati inequalities
by: Mehrmann, Volker, et al.
Published: (2023)
by: Mehrmann, Volker, et al.
Published: (2023)
Uniform Approximation of Eigenproblems of a Large-Scale Parameter-Dependent Hermitian Matrix
by: Manucci, Mattia, et al.
Published: (2024)
by: Manucci, Mattia, et al.
Published: (2024)
Computation of structured stability radii for Dissipative-Hamiltonian systems
by: Benner, Peter, et al.
Published: (2025)
by: Benner, Peter, et al.
Published: (2025)
Matrix nearness problems and eigenvalue optimization
by: Guglielmi, Nicola, et al.
Published: (2025)
by: Guglielmi, Nicola, et al.
Published: (2025)
Minimizing transients via the Kreiss system norm
by: Apkarian, Pierre, et al.
Published: (2023)
by: Apkarian, Pierre, et al.
Published: (2023)
On the Global Minimization of the Value-at-Risk
by: Pang, Jong-Shi, et al.
Published: (2004)
by: Pang, Jong-Shi, et al.
Published: (2004)
Port-Hamiltonian Realizations of Positive Real Descriptor Systems
by: Chu, Delin, et al.
Published: (2024)
by: Chu, Delin, et al.
Published: (2024)
Stabilization of linear Port-Hamiltonian Descriptor Systems via Output Feedback
by: Chu, Delin, et al.
Published: (2024)
by: Chu, Delin, et al.
Published: (2024)
The structured distance to ill-posedness for conic systems
by: Lewis, Adrian S.
Published: (2003)
by: Lewis, Adrian S.
Published: (2003)
Reduced Sample Complexity in Scenario-Based Control System Design via Constraint Scaling
by: Choi, Jaeseok, et al.
Published: (2024)
by: Choi, Jaeseok, et al.
Published: (2024)
On the sample complexity of stabilizing linear dynamical systems from data
by: Werner, Steffen W. R., et al.
Published: (2022)
by: Werner, Steffen W. R., et al.
Published: (2022)
Design Guidelines for Noise-Tolerant Optimization with Applications in Robust Design
by: Lou, Yuchen, et al.
Published: (2024)
by: Lou, Yuchen, et al.
Published: (2024)
Affine Normal Directions via Log-Determinant Geometry: Scalable Computation under Sparse Polynomial Structure
by: Niu, Yi-Shuai, et al.
Published: (2026)
by: Niu, Yi-Shuai, et al.
Published: (2026)
AS-BOX: Additional Sampling Method for Weighted Sum Problems with Box Constraints
by: Krejić, Nataša, et al.
Published: (2025)
by: Krejić, Nataša, et al.
Published: (2025)
Optimization-Aided Construction of Multivariate Chebyshev Polynomials
by: Dressler, Mareike, et al.
Published: (2024)
by: Dressler, Mareike, et al.
Published: (2024)
A Generating Polynomial Based Two-Stage Optimization Method for Tensor Rank Decomposition
by: Zheng, Zequn, et al.
Published: (2025)
by: Zheng, Zequn, et al.
Published: (2025)
Sparse additive function decompositions facing basis transforms
by: Ba, Fatima Antarou, et al.
Published: (2024)
by: Ba, Fatima Antarou, et al.
Published: (2024)
Randomised Splitting Methods and Stochastic Gradient Descent
by: Shaw, Luke, et al.
Published: (2025)
by: Shaw, Luke, et al.
Published: (2025)
Model reduction techniques for linear constant coefficient port-Hamiltonian differential-algebraic systems
by: Hauschild, Sarah-Alexa, et al.
Published: (2019)
by: Hauschild, Sarah-Alexa, et al.
Published: (2019)
Multiple Scale Methods For Optimization Of Discretized Continuous Functions
by: Richardson, Nicholas J. E., et al.
Published: (2025)
by: Richardson, Nicholas J. E., et al.
Published: (2025)
A Globally Convergent Third-Order Newton Method via Unified Semidefinite Programming Subproblems
by: Cai, Yubo, et al.
Published: (2026)
by: Cai, Yubo, et al.
Published: (2026)
Polarized consensus-based dynamics for optimization and sampling
by: Bungert, Leon, et al.
Published: (2022)
by: Bungert, Leon, et al.
Published: (2022)
Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
by: Lu, Zhaosong, et al.
Published: (2024)
by: Lu, Zhaosong, et al.
Published: (2024)
Grassmannian optimization is NP-hard
by: Lai, Zehua, et al.
Published: (2024)
by: Lai, Zehua, et al.
Published: (2024)
Swarm-based gradient descent meets simulated annealing
by: Ding, Zhiyan, et al.
Published: (2024)
by: Ding, Zhiyan, et al.
Published: (2024)
Swarm-Based Gradient Descent Method for Non-Convex Optimization
by: Lu, Jingcheng, et al.
Published: (2022)
by: Lu, Jingcheng, et al.
Published: (2022)
Swarm-based optimization with random descent
by: Tadmor, Eitan, et al.
Published: (2023)
by: Tadmor, Eitan, et al.
Published: (2023)
Convergence analysis of dynamical systems for optimization by an improved Lyapunov framework
by: Tabei, Atsushi, et al.
Published: (2026)
by: Tabei, Atsushi, et al.
Published: (2026)
On the connections between optimization algorithms, Lyapunov functions, and differential equations: theory and insights
by: Dobson, Paul, et al.
Published: (2023)
by: Dobson, Paul, et al.
Published: (2023)
Application and issues in abstract convexity
by: Millán, Reinier Díaz, et al.
Published: (2022)
by: Millán, Reinier Díaz, et al.
Published: (2022)
A Convergent ADMM Algorithm for Grain Boundary Energy Minimization
by: Wu, Yue, et al.
Published: (2024)
by: Wu, Yue, et al.
Published: (2024)
Adaptive Preconditioned Gradient Descent with Energy
by: Liu, Hailiang, et al.
Published: (2023)
by: Liu, Hailiang, et al.
Published: (2023)
Finite Element Analysis for the Chafee-Infante Equation Using Distributed Feedback Control
by: Singh, Shishu Pal, et al.
Published: (2025)
by: Singh, Shishu Pal, et al.
Published: (2025)
Globally Optimal Solutions to a Class of Fractional Optimization Problems Based on Proximal Gradient Algorithm
by: Lin, Yizun, et al.
Published: (2023)
by: Lin, Yizun, et al.
Published: (2023)
A preconditioned difference of convex functions algorithm with extrapolation and line search
by: Zhang, Ran, et al.
Published: (2025)
by: Zhang, Ran, et al.
Published: (2025)
A New Linear Programming Approach and a New Backtracking Strategy for Multiple-Gradient Descent in Multi-Objective Optimization
by: Della Santa, Francesco
Published: (2024)
by: Della Santa, Francesco
Published: (2024)
Moments, Time-Inversion and Source Identification for the Heat Equation
by: Liu, Kang, et al.
Published: (2025)
by: Liu, Kang, et al.
Published: (2025)
Similar Items
-
Large-Scale Minimization of the Pseudospectral Abscissa
by: Aliyev, Nicat, et al.
Published: (2022) -
Approximation of the Pseudospectral Abscissa via Eigenvalue Perturbation Theory
by: Ahmed, Waqar, et al.
Published: (2025) -
Characterization of stability radii for robustly asymptotically stable dissipative Hamiltonian differential-algebraic systems
by: Benner, Peter, et al.
Published: (2026) -
Eigenstructure perturbations for a class of Hamiltonian matrices and solutions of related Riccati inequalities
by: Mehrmann, Volker, et al.
Published: (2023) -
Uniform Approximation of Eigenproblems of a Large-Scale Parameter-Dependent Hermitian Matrix
by: Manucci, Mattia, et al.
Published: (2024)