Results 11 to 20 of about 132,485,236 (247)
Nearest Ω -stable matrix via Riemannian optimization [PDF]
Funding Information: Open access funding provided by Aalto University. VN acknowledges partial support by the Visiting Fellows Programme of the University of Pisa and support by an Academy of Finland grant (Suomen Akatemian päätös 331240).
Noferini, Vanni +5 more
core +2 more sources
Computing a nearest symmetric positive semidefinite matrix
The nearest symmetric positive semidefinite matrix in the Frobenius norm to an arbitrary real matrix A is shown to be (B + H)/2, where H is the symmetric polar factor of B=(A + AT)/2.
Higham, Nicholas J.
core +7 more sources
Optimal solution of the nearest correlation matrix problem by minimization of the maximum norm [PDF]
The nearest correlation matrix problem is to find a valid (positive semidefinite) correlation matrix, R(m,m), that is nearest to a given invalid (negative semidefinite) or pseudo-correlation matrix, Q(m,m); m larger than 2.
Mishra, SK
core +2 more sources
Computing the nearest euclidean distance matrix with low embedding dimensions [PDF]
Euclidean distance embedding appears in many high-profile applications including wireless sensor network localization, where not all pairwise distances among sensors are known or accurate.
Qi, Hou-Duo, Yuan, Xiaoming, Qi, Hou Duo
core +1 more source
On the nearest singular matrix pencil [PDF]
Given a regular matrix pencil A + μE, we consider the problem of determining the nearest singular matrix pencil with respect to the Frobenius norm. We present new approaches based on the solution of matrix differential equations for determining the ...
Mehrmann, Volker +2 more
core +1 more source
A lagrangian dual approach to the single source localization problem [PDF]
The single-source localization problem (SSLP), which is nonconvex by its nature, appears in several important multidisciplinary fields such as signal processing and the global positioning system.
Qi, Hou-Duo +3 more
core +1 more source
Local feature weighting in nearest prototype classification [PDF]
The distance metric is the corner stone of nearest neighbor (NN)-based methods, and therefore, of nearest prototype (NP) algorithms. That is because they classify depending on the similarity of the data.
Isasi, Pedro +2 more
core +1 more source
Computing the nearest correlation matrix - A problem from finance [PDF]
Given a symmetric matrix, what is the nearest correlation matrix - that is, the nearest symmetric positive semidefinite matrix with unit diagonal? This problem arises in the finance industry, where the correlations are between stocks.
Higham, Nicholas J. +2 more
core +2 more sources
Human Hand Recognition Using IPCA-ICA Algorithm
A human hand recognition system is introduced. First, a simple preprocessing technique which extracts the palm, the four fingers, and the thumb is introduced.
Wassim Abi Nader +2 more
doaj +2 more sources
Modelling ternary effects on antiphase boundary energy of Ni3Al
The shearing of ordered γ′ precipitates by matrix dislocations results in the formation of antiphase boundaries (APB) in Ni-base superalloys. The APB energy is an important source of order-strengthening in disk and blade alloys where Ti and Ta substitute
Vamsi K.V., Karthikeyan S.
doaj +1 more source

