Results 41 to 50 of about 7,281 (167)
Recovering Latent Signals from a Mixture of Measurements using a Gaussian Process Prior
, 2017 In sensing applications, sensors cannot always measure the latent quantity of interest at the required resolution, sometimes they can only acquire a blurred version of it due the sensor's transfer function. To recover latent signals when only noisy mixed
Guerrero, Pablo +3 more
core +1 more source
On Wind Directions Estimated by Nacelle Lidar Under Different Reconstruction Methods
Wind Energy, Volume 29, Issue 3, March 2026.ABSTRACT The wind direction is closely linked to the power performance and structural loads of wind turbines. Conventional nacelle‐mounted vanes or sonic anemometers face errors associated with airflow distortions caused by turbine blades. Nacelle‐mounted lidar systems offer line‐of‐sight speed measurements from multiple positions ahead of the rotor ...
Feng Guo +7 more
wiley +1 more source
Mean-field theory for the inverse Ising problem at low temperatures
, 2012 The large amounts of data from molecular biology and neuroscience have lead to a renewed interest in the inverse Ising problem: how to reconstruct parameters of the Ising model (couplings between spins and external fields) from a number of spin ...
Berg, Johannes, Nguyen, H. Chau
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Convergence properties of dynamic mode decomposition for analytic interval maps
Communications on Pure and Applied Mathematics, Volume 79, Issue 2, Page 179-206, February 2026.Abstract Extended dynamic mode decomposition (EDMD) is a data‐driven algorithm for approximating spectral data of the Koopman operator associated to a dynamical system, combining a Galerkin method with N$N$ functions and a quadrature method with M$M$ quadrature nodes.
Elliz Akindji +3 more
wiley +1 more source
Computing generalized inverses using LU factorization of matrix product
, 2011 An algorithm for computing {2, 3}, {2, 4}, {1, 2, 3}, {1, 2, 4} -inverses and the Moore-Penrose inverse of a given rational matrix A is established. Classes A(2, 3)s and A(2, 4)s are characterized in terms of matrix products (R*A)+R* and T*(AT*)+, where ...
Ben-Israel A. +11 more
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Definition and Computation of Tensor‐Based Generalized Function Composition
Numerical Linear Algebra with Applications, Volume 33, Issue 1, February 2026.ABSTRACT Functions are fundamental to mathematics as they offer a structured and analytical framework to express relations between variables. While scalar and matrix‐based functions are well‐established, higher‐order tensor‐based functions have not been as extensively explored.
Remy Boyer
wiley +1 more source
MathematicsWe derive a double-optimal iterative algorithm (DOIA) in an m-degree matrix pencil Krylov subspace to solve a rectangular linear matrix equation. Expressing the iterative solution in a matrix pencil and using two optimization techniques, we determine the
Chein-Shan Liu +2 more
doaj +1 more source
On the Simulatability Condition in Key Generation Over a Non-authenticated Public Channel
, 2014 Simulatability condition is a fundamental concept in studying key generation over a non-authenticated public channel, in which Eve is active and can intercept, modify and falsify messages exchanged over the non-authenticated public channel.
Lai, Lifeng, Tu, Wenwen
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Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems
International Journal of Adaptive Control and Signal Processing, Volume 40, Issue 1, Page 137-150, January 2026.This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley +1 more source
Metalens Array for Complex‐Valued Optical Discrete Fourier Transform
Advanced Optical Materials, Volume 14, Issue 3, 19 January 2026.A single‐layer metalens‐array device performs complex‐to‐complex discrete Fourier transforms (DFTs) optically with O(N) digital time complexity. Integrated interferometric phase retrieval and error mitigation scheme enables accurate, compact, and low‐power optical computing. The approach provides a versatile framework for implementing arbitrary complex‐
Randy Stefan Tanuwijaya +6 more
wiley +1 more source