Results 81 to 90 of about 1,124 (204)
International Journal for Numerical Methods in Engineering, Volume 127, Issue 14, 30 July 2026.ABSTRACT The accurate prediction of displacement and stress fields in pressure vessels is essential for the safe and reliable design of these structures, particularly when dealing with nonlinear behavior such as that of hyperelastic functionally graded materials (FGMs).
Nasser Firouzi +2 more
wiley +1 more source
On the Complexity of Optimization over the Standard Simplex [PDF]
We review complexity results for minimizing polynomials over the standard simplex and unit hypercube.In addition, we show that there exists a polynomial time approximation scheme (PTAS) for minimizing Lipschitz continuous functions and functions with ...
Klerk, E. de +2 more
core +1 more source
Analog circuit design by nonconvex polynomial optimization: Two design examples [PDF]
, 2010 We present a framework for synthesizing low-power analog circuits through global optimization over generally nonconvex multivariate polynomial objective function and constraints.
Lui, SH, Kwan, HK, Wong, N
core +1 more source
Safe Stabilization Using Non‐Smooth Control Lyapunov Barrier Function
International Journal of Robust and Nonlinear Control, Volume 36, Issue 11, Page 5823-5835, 25 July 2026.ABSTRACT This paper addresses the challenge of safe stabilization, ensuring the system state reaches the origin while avoiding unsafe state regions. Existing approaches that rely on smooth Lyapunov barrier functions often fail to guarantee a feasible controller. To overcome this limitation, we introduce the non‐smooth control Lyapunov barrier function (
Jianglin Lan +3 more
wiley +1 more source
Canonical duality for solving general nonconvex constrained problems [PDF]
, 2016 This paper presents a canonical duality theory for solving a general nonconvex constrained optimization problem within a unified framework to cover Lagrange multiplier method and KKT theory.
Latorre, V. +2 more
core +2 more sources
EnergiesWith the growing significance of hydrogen in the global energy transition, research on its pricing mechanisms has become increasingly crucial. Focusing on hydrogen markets predominantly supplied by electrolytic production, this study proposes a nodal ...
Shouheng Li +3 more
doaj +1 more source
Why Methods for Optimization Problems with Time-Consuming Function Evaluations and Integer Variables Should Use Global Approximation Models [PDF]
This paper advocates the use of methods based on global approximation models for optimization problems with time-consuming function evaluations and integer variables.We show that methods based on local approximations may lead to the integer rounding of ...
Brekelmans, R.C.M. +4 more
core +1 more source
Global optimization for nonconvex optimization problems [PDF]
, 2012 Duality is one of the most successful ideas in modern science [46] [91]. It is essential in natural phenomena, particularly, in physics and mathematics [39] [94] [96].
Ruan, Ning
core
Breaking the Nonconvexity Barrier: Certified Global Optimality in Mixed-Integer Programming
Mixed-Integer Programming (MIP) is a powerful framework for modeling real-world optimization problems that involve both continuous and discrete decision variables. While convex MIPs are largely tractable using sophisticated branch-and-cut algorithms, the presence of nonconvexity in the objective function or constraints introduces significant ...
Revista, Zen, MATH, 10
openaire +1 more source
Performance Analysis of Optimization Methods in PSE Applications. Mathematical Programming Versus Grid-based Multi-parametric Genetic Algorithms [PDF]
, 2007 Due to their large variety of applications in the PSE area, complex optimisation problems are of high interest for the scientific community. As a consequence, a great effort is made for developing efficient solution techniques. The choice of the relevant
Ponsich, Antonin Sebastien +8 more
core +1 more source