Results 71 to 80 of about 19,610 (266)

Frames of subspaces in Hilbert spaces with W-metrics

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2015
In this paper we start considering a sesquilinear form 〈W·,·〉 defined over a Hilbert space (ℌ,〈·,·〉) where W is bounded (W* = W ∈ Ɓ(ℌ)) and ker W = {0}. We study the dynamic of frame of subspaces over the completion of (ℌ, 〈W·,·〉) which is denoted by ℌW ...
Acosta-Humánez Primitivo   +2 more
doaj   +1 more source

Investigating Pompeii Subsoil Using Geomatics and Geophysics Merged Analyses

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT The archaeological site of Pompeii represents an exceptional context for the application of non‐invasive and integrated investigation methods aimed at enhancing the understanding of both exposed and buried remains. This study presents the results of multidisciplinary research conducted in the Palestra Grande site, a large and strategically ...
Valentina Santoro   +9 more
wiley   +1 more source

Reflexivity of Hilbert KH-Modules and Fixed-Point Property for Nonexpansive Mappings

open access: yesJournal of Mathematics
We prove that a Hilbert C∗-module over the C∗-algebra KH of all compact operators on a complex infinite dimensional Hilbert space H is reflexive as a Banach space if and only if its orthogonal dimension is finite.
Kourosh Nourouzi
doaj   +1 more source

Frames in super Hilbert modules [PDF]

open access: yesSahand Communications in Mathematical Analysis, 2018
In this paper, we define super Hilbert module and investigate frames in this space. Super Hilbert modules are  generalization of super Hilbert spaces in Hilbert C*-module setting.
Mehdi Rashidi-Kouchi
doaj  

Performance improvement of discrete‐time linear‐quadratic regulators applied to uncertain linear systems using the Tikhonov regularization method

open access: yesAsian Journal of Control, EarlyView.
Abstract The linear‐quadratic regulator (LQR) problem of optimal control of an uncertain discrete‐time linear system (DTLS) is revisited in this paper from the perspective of Tikhonov regularization. We show that an optimally chosen regularization parameter reduces, compared to the classical LQR, the values of a scalar error function, as well as the ...
Fernando Pazos, Amit Bhaya
wiley   +1 more source

Strong Convergence Theorems for Maximal Monotone Operators with Nonspreading Mappings in a Hilbert Space

open access: yesAbstract and Applied Analysis, 2012
We prove the strong convergence theorems for finding a common element of the set of fixed points of a nonspreading mapping T and the solution sets of zero of a maximal monotone mapping and an α-inverse strongly monotone mapping in a Hilbert space. Manaka
Hongjie Liu   +2 more
doaj   +1 more source

Hilbert spaces induced by Hilbert space valued functions [PDF]

open access: yesProceedings of the American Mathematical Society, 1983
Let E E be an arbitrary set and
openaire   +1 more source

pyFDRT: An open‐source Python tool for Fourier‐transform analysis of the distribution of relaxation times in electrochemical impedance spectra

open access: yesBulletin of the Korean Chemical Society, EarlyView.
pyFDRT is an open‐source tool that converts an impedance spectrum into a quantitative equivalent circuit. Its Fourier‐transform stage requires no discretization basis or regularization parameter, and the non‐negative refinement selects its own parameters, and an information criterion determines the relaxation process count.
Chung‐Yul Yoo   +2 more
wiley   +1 more source

Hilbert Space of Complex-ValuedHarmonic Functions in the Unit Disc

open access: yesEast African Journal of Biophysical and Computational Sciences
The study investigated an extended version of Hilbert space of analytic functions called Hilbert space of complex-valued harmonic functions. It is found that functions in Hilbert space of complex-valued harmonic functions exhibit many properties ...
Tseganesh Getachew Gebrehana   +1 more
doaj   +1 more source

Least Square Regularized Regression for Multitask Learning

open access: yesAbstract and Applied Analysis, 2013
The study of multitask learning algorithms is one of very important issues. This paper proposes a least-square regularized regression algorithm for multi-task learning with hypothesis space being the union of a sequence of Hilbert spaces.
Yong-Li Xu, Di-Rong Chen, Han-Xiong Li
doaj   +1 more source

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