Results 61 to 70 of about 7,288,186 (192)
Space‐Time Coding Conformal Metasurfaces for Multifrequency Beam Steering and Shaping
Space‐time coding conformal metasurfaces enable dynamic wave control on curved surfaces by combining programmable spatial patterns with temporal modulation. This study shows that a single conformal aperture can independently manipulate multiple frequency components, achieving multifunctional beam shaping and steering, with implications for ...
Filippo Pepe +8 more
wiley +1 more source
Decomposition-Based Method for Sparse Semidefinite Relaxations of Polynomial Optimization Problems [PDF]
We consider polynomial optimization problems pervaded by a sparsity pattern. It has been shown in [1, 2] that the optimal solution of a polynomial programming problem with structured sparsity can be computed by solving a series of semidefinite ...
Berc Rustem +2 more
core
Oligopolistic Banking Sector of Mongolia and Polymatrix Games of Three Players
A problem of competition between the three largest banks of the Mongolia major crediting sector is investigated. Modeling of the conflict is carried out using the apparatus of three person polymatrix games (hexamatrix games).
A.V. Orlov, S. Batbileg
doaj
This paper addresses the simultaneous feeder routing and conductor sizing problem in unbalanced three-phase distribution systems, formulated as a nonconvex mixed-integer nonlinear program (MINLP) that minimizes the equivalent annualized expansion cost ...
Brandon Cortés-Caicedo +4 more
doaj +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
The Complexity of Optimizing over a Simplex, Hypercube or Sphere: A Short Survey [PDF]
We consider the computational complexity of optimizing various classes of continuous functions over a simplex, hypercube or sphere.These relatively simple optimization problems have many applications.We review known approximation results as well as ...
Klerk, E. de
core
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 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
Vector optimization problems with nonconvex preferences
In this paper, some vector optimization problems are considered where pseudo-ordering relations are determined by nonconvex cones in Banach spaces. We give some characterizations of solution sets for vector complementarity problems and vector variational
Rubinov, AM +5 more
core +1 more source
With 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

