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
Methods for large scale unconstrained optimization [PDF]
, 2010 In this article, we review methods for the solution of unconstrained optimization problems, where the number of unknowns is large.We first describe the basics of unconstrained optimization, then we consider the iterative methods that are commonly used ...
FASANO, Giovanni, FASANO G.
core
Approximating Hessians in unconstrained optimization arising from discretized problems [PDF]
, 2011 Unconstrained optimization, Discretized problems, Sparsity, Partial separability, Numerical experiences,
Vincent Malmedy +3 more
core +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
core
Sufficient descent directions in unconstrained optimization [PDF]
Unconstrained optimization, Sufficient descent direction, PSB method, Global convergence, Superlinear convergence,
Dong-Hui Li, Yunhai Xiao, Xiao-Min An
core +1 more source
Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis. [PDF]
Front Comput Neurosci, 2022 Jaffar F +4 more
europepmc +1 more source
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
The global convergence of spectral RMIL conjugate gradient method for unconstrained optimization with applications to robotic model and image recovery. [PDF]
PLoS One, 2023 Salihu N +4 more
europepmc +1 more source
Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors
Advanced Electronic Materials, EarlyView.Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko +3 more
wiley +1 more source