Results 51 to 60 of about 427,151 (188)

Optimality conditions for preinvex functions using symmetric derivative

open access: yesOperations Research and Decisions, 2022
As a generalization of convex functions and derivatives, in this paper, the authors study the concept of a symmetric derivative for preinvex functions. Using symmetrical differentiation, they discuss an important characterization for preinvex functions and define symmetrically pseudo-invex and symmetrically quasi-invex functions.
Sachin Rastogi   +2 more
openaire   +3 more sources

Numerical Demonstration of Angle-Independent Electromagnetic Transparency in Short-Wavelength Infrared Regime

open access: yesIEEE Access, 2022
Realizing electromagnetic transparency in the visible light regime and beyond is an important challenge in both fundamental electromagnetics and angular-independent spectral filters for 6G communication and military applications.
Junjeong Park, Sun K. Hong, Haejun Chung
doaj   +1 more source

A Tensor Analogy of Yuan's Theorem of the Alternative and Polynomial Optimization with Sign structure

open access: yes, 2014
Yuan's theorem of the alternative is an important theoretical tool in optimization, which provides a checkable certificate for the infeasibility of a strict inequality system involving two homogeneous quadratic functions.
Hu, Shenglong, Li, Guoyin, Qi, Liqun
core   +1 more source

Neighborhood preserving sparse representation based on Nyström method for image set classification on symmetric positive definite matrices

open access: yesJournal of Algorithms & Computational Technology, 2019
In the field of pattern recognition, using the symmetric positive-definite matrices to represent image set has been widely studied, and sparse representation-based classification algorithm on the symmetric positive-definite matrix manifold has attracted ...
Chu Li, Xiao-Jun Wu
doaj   +1 more source

Investigation of Utilizing a Secant Stiffness Matrix for 2D Nonlinear Shape Optimization and Sensitivity Analysis [PDF]

open access: yesCivil Engineering Infrastructures Journal, 2016
In this article the general non-symmetric parametric form of the incremental secant stiffness matrix for nonlinear analysis of solids have been investigated to present a semi analytical sensitivity analysis approach for geometric nonlinear shape ...
Asghar Vatani Oskouie, Amin Havaran
doaj   +1 more source

Equivalent Electromechanical Model for Quartz Tuning Fork Used in Atomic Force Microscopy

open access: yesSensors, 2023
Quartz tuning forks (QTFs) are self-sensing and possess a high quality factor, allowing them to be used as probes for atomic force microscopes (AFMs) for which they offer nano-scale resolution of sample images.
Rui Lin   +7 more
doaj   +1 more source

Optimisation problems and replica symmetry breaking in finite connectivity spin-glasses

open access: yes, 1997
A formalism capable of handling the first step of hierarchical replica symmetry breaking in finite-connectivity models is introduced. The emerging order parameter is claimed to be a probability distribution over the space of field distributions (or ...
Chvàtal V   +21 more
core   +1 more source

Tabu Search Method for Solving the Traveling salesman Problem [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2008
This research presents the fundamental concepts of tabu search for   optimization problem as symmetric traveling salesman problem. The purpose of this research is to solve the traveling salesman problem with tabu search method, to find an optimal ...
Isra Alkallak, Ruqaya Sha’ban
doaj   +1 more source

On a classical spectral optimization problem in linear elasticity

open access: yes, 2014
We consider a classical shape optimization problem for the eigenvalues of elliptic operators with homogeneous boundary conditions on domains in the $N$-dimensional Euclidean space.
B Kawohl   +18 more
core   +1 more source

Symmetric and Positive Definite Broyden Update for Unconstrained Optimization

open access: yesمجلة بغداد للعلوم, 2019
Broyden update is one of the one-rank updates which solves the unconstrained optimization problem but this update does not guarantee the positive definite and the symmetric property of Hessian matrix.
Saad et al.
doaj   +1 more source

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