Results 101 to 110 of about 138,910 (273)

Two-step Nonnegative Matrix Factorization Algorithm for the Approximate Realization of Hidden Markov Models

, 2010
We propose a two-step algorithm for the construction of a Hidden Markov Model (HMM) of assigned size, i.e. cardinality of the state space of the underlying Markov chain, whose $n$-dimensional distribution is closest in divergence to a given distribution.
Finesso, L., Grassi, A., Spreij, P.
core  

A Novel Optimized Local Linearization Hybrid Block Method for Chaotic Systems: Applications to Stretch‐Twist‐Fold Flow and Bond Orbital Chaotic Attractors

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT The numerical approximation of nonlinear chaotic differential systems, such as the modified stretch‐twist‐fold (STF) flow and multi‐bond chaotic attractors, presents a significant challenge due to their sensitive dependence on initial conditions and complex dynamics where analytical solutions are unattainable.
Shina Daniel Oloniiju, Anastacia Dlamini
wiley   +1 more source

Approximate Nonnegative Matrix Factorization via Alternating Minimization

, 2004
In this paper we consider the Nonnegative Matrix Factorization (NMF) problem: given an (elementwise) nonnegative matrix $V \in \R_+^{m\times n}$ find, for assigned $k$, nonnegative matrices $W\in\R_+^{m\times k}$ and $H\in\R_+^{k\times n}$ such that $V ...
Finesso, Lorenzo, Spreij, Peter
core   +1 more source

Finite‐Time Disturbance Observer‐Based Nonlinear Robust Adaptive Control of Hydraulic Manipulator With Parameter Identification

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Hydraulic manipulators exhibit strong coupling, pronounced nonlinearities, and significant modeling uncertainties, which hinder high‐precision motion control. This paper proposes a finite‐time disturbance observer–based nonlinear robust adaptive control (RAC‐FTDO) framework enhanced by a physically consistent dynamic parameter identification ...
Tianyu Gao, Xianglong Liang, Wenxiang Deng, Jianyong Yao   +3 more
wiley   +1 more source

Updating a map of sufficient conditions for the real nonnegative inverse eigenvalue problem

Special Matrices, 2019
The real nonnegative inverse eigenvalue problem (RNIEP) asks for necessary and sufficient conditions in order that a list of real numbers be the spectrum of a nonnegative real matrix.
Marijuán C., Pisonero M., Soto Ricardo L.   +2 more
doaj   +1 more source

Joint Linear Regression and Nonnegative Matrix Factorization Based on Self-Organized Graph for Image Clustering and Classification

IEEE Access, 2018
Nonnegative matrix factorization (NMF) technique has been developed successfully to represent the intuitively meaningful feature of data. A suitable representation can faithfully preserve the intrinsic structure of data.
Wenjie Zhu, Yunhui Yan
doaj   +1 more source

The feasibility principle in community ecology

Oikos, EarlyView.
The structure and function of ecological communities emerge from interactions among populations within specific environmental contexts. Yet we still lack general principles that explain how communities assemble, which patterns we should expect, and when transitions occur across diverse settings.
Serguei Saavedra
wiley   +1 more source

A note on a relationship between the inverse eigenvalue problems for nonnegative and doubly stochastic matrices and some applications

, 2013
In this note, we establish some connection between the nonnegative inverse eigenvalue problem and that of doubly stochastic one. More precisely, we prove that if $(r; {\lambda}_2, ..., {\lambda}_n)$ is the spectrum of an $n\times n$ nonnegative matrix A ...
Mourad, Bassam
core  

Relation of Bulk‐to‐Shear Loss Factors in Viscoelastic Auxetic Metamaterials

physica status solidi (b), EarlyView.
This article examines the dynamic behavior of isotropic auxetic viscoelastic materials, highlighting how negative Poisson's ratios affect energy dissipation, damping, and the interplay between bulk and shear moduli. By extending established viscoelastic theories to the auxetic range, it defines bound limits and underscores how dynamic Poisson's ratio ...
Simon Preston, Julián Londoño‐Monsalve, Ken E. Evans   +2 more
wiley   +1 more source

Investigating the feature extraction capabilities of non-negative matrix factorisation algorithms for black-and-white images [PDF]

ITM Web of Conferences
Nonnegative matrix factorisation (NMF) is a class of matrix factorisation methods to approximate a nonnegative matrix as a product of two nonnegative matrices.
Liew How Hui, Ng Wei Shean, Chen Huey Voon   +2 more
doaj   +1 more source