Hierarchical Physical‐Cyber Encryption via Metasurface‐Encoded Holographic Keys
Advanced Science, EarlyView.ABSTRACT Physical‐layer encryption based on metasurfaces has emerged as a promising alternative to conventional algorithmic cryptography by embedding security into physical processes. However, most existing metasurface‐based encryption schemes operate within single‐stage or static frameworks, where correct physical illumination directly reveals the ...
Zhen Liu +8 more
wiley +1 more source
Practical Implementation of Unconstrained Optimization Methods Tested on Quadratic Functions [PDF]
, 2017 In this work we give a detailed look to the Practical implementation of unconstrained optimization tested on quadratic functions. Section (1) speak about the theory of optimization problems, introduce definitions and theorems of linear programming ...
El Siddieg, Awatif M. A.
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A Linesearch Algorithm with Memory for Unconstrained Optimization [PDF]
, 1998 This paper considers algorithms for unconstrained nonlinear optimization where the model used by the algorithm to represent the objective function explicitly includes memory of the past iterations. This is intended to make the algorithm less “myopic” in the sense that its behaviour is not completely dominated by the local nature of the objective ...
GOULD N. +3 more
openaire +3 more sources
Nonlinear conjugate gradient methods for unconstrained optimization
, 2020 Two approaches are known for solving large-scale unconstrained optimization problems—the limited-memory quasi-Newton method (truncated Newton method) and the conjugate gradient method.
Andrei, Neculai
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Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing
Advanced Science, EarlyView.A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Keunho Soh +7 more
wiley +1 more source
Efficiency of coordinate descent methods on huge-scale optimization problems [PDF]
In this paper we propose new methods for solving huge-scale optimization problems. For problems of this size, even the simplest full-dimensional vector operations are very expensive.
NESTEROV, Yurii
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Review of Gastrointestinal Capsule Robots: Materials, Actuation, Diagnostics, and Therapeutics
Advanced Science, EarlyView.This review examines gastrointestinal capsule robots through a systems engineering lens, covering shell materials, actuation and localization strategies, diagnostic modalities, therapeutic interventions, and commercialization status. By mapping the complete technological chain from fabrication to clinical deployment, this work identifies critical gaps ...
Zengsheng Li +8 more
wiley +1 more source
A New Conjugate Gradient for Efficient Unconstrained Optimization with Robust Descent Guarantees
Wasit Journal of Computer and Mathematics ScienceThe Conjugate Gradient method is a powerful iterative algorithm aims to find the minimum of a function by iteratively searching along conjugate directions.
Hussein Saleem Ahmed
doaj +1 more source
Intrinsic Phonons as a Dynamic Control Knob for Catalytic Reactivity in 2D Materials
Advanced Science, EarlyView.Intrinsic phonon excitations are demonstrated to serve as a dynamic control knob for catalytic reactivity in 2D materials. Mode‐selective lattice vibrations reconstruct the electronic structure, lower oxygen evolution reaction barriers, establishing a phonon‐engineering paradigm for dynamically regulating electrocatalysis beyond conventional static ...
Kai Ren +5 more
wiley +1 more source
A Class of Preconditioners for Large Indefinite Linear Systems, as by-product of Krylov subspace Methods: Part II [PDF]
In this paper we consider the parameter dependent class of preconditioners M(a,d,D) defined in the companion paper The latter was constructed by using information from a Krylov subspace method, adopted to solve the large symmetric linear system Ax = b ...
Massimo Roma, Giovanni Fasano
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