Results 51 to 60 of about 63,174 (260)
Duality and Convex Optimization
Convex optimization is one of the main applications of the theory of convexity and Legendre–Fenchel duality is a basic tool, making more flexible the approach of many concrete problems.
Lars-Erik Persson +3 more
core +1 more source
Additive Manufacturing of Patient‐Specific Intracranial Aneurysm Cell Culture Models
Patient‐specific intracranial aneurysm models were fabricated using chocolate moulding, 3D printed water‐soluble cores, and direct resin 3D printing. Moulding PDMS around sacrificial cores made of chocolate or 3D printed water‐soluble resin yielded accurate, expandable, and endothelializable models that outperformed resin‐based approaches.
Chloe M. de Nys +6 more
wiley +1 more source
The main goal of this paper is to give a necessary and sufficient condition of global optimality for unconstrained optimization problems, when the objective function is not necessarily convex. We use Gâteaux differentiability of the objective function
Burai, Pál
core +1 more source
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi +3 more
wiley +1 more source
Shaping Carbon Nitrides for Advanced Macrostructures
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley +1 more source
This article highlights the development of robust and high‐performance flexible and stretchable biosensors that maintain long‐term functionality and optimal electrical conductivity under mechanical deformation, utilizing sustainable and cost‐effective manufacturing principles.
Mousa H. Aldosari, Ahyeon Koh
wiley +1 more source
Random gradient-free minimization of convex functions [PDF]
In this paper, we prove the complexity bounds for methods of Convex Optimization based only on computation of the function value. The search directions of our schemes are normally distributed random Gaussian vectors.
NESTEROV, Yurii
core
A method for generating a well-distributed Pareto set in nonlinear multiobjective optimization [PDF]
A method is presented for generating a well-distributed Pareto set in nonlinear multiobjective optimization. The approach shares conceptual similarity with the Physical Programming-based method, the Normal-Boundary Intersection and the Normal ...
Utyuzhnikov, S.V.; id_orcid +7 more
core +1 more source
Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering
Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik +7 more
wiley +1 more source
Motivated by various applications to computer vision, we consider an integer convex optimization problem which is the dual of the convex cost network flow problem.
Kolmogorov, V., Shioura, A.
core

