scholarly journals Approximation of null controls for semilinear heat equations using a least-squares approach

Author(s):  
Jerome Lemoine ◽  
Irene Marin-Gayte ◽  
Arnaud Munch

The null distributed controllability of the semilinear heat equation $\partial_t y-\Delta y + g(y)=f \,1_{\omega}$ assuming that $g\in C^1(\mathbb{R})$ satisfies the growth condition $\limsup_{r\to \infty} g(r)/(\vert r\vert \ln^{3/2}\vert r\vert)=0$ has been obtained by Fern\'andez-Cara and Zuazua in 2000. The proof based on a non constructive fixed point theorem makes use of precise estimates of the observability constant for a linearized wave equation. Assuming that $g^\prime$ is bounded and uniformly H\"older continuous on $\mathbb{R}$ with exponent $p\in (0,1]$, we design a constructive proof yielding an explicit sequence converging strongly to a controlled solution for the semilinear equation, at least with order $1+p$ after a finite number of iterations. The method is based on a least-squares approach and coincides with a globally convergent damped  Newton methods: it guarantees the convergence whatever be the initial element of the sequence. Numerical experiments in the one dimensional setting illustrate our analysis.

2017 ◽  
Author(s):  
Agah D. Garnadi

This work studies an adaptive finite difference approximation to the one dimensional nonlinear Schroedinger equiation with quintic power, with special emphasis on the case when the solution blows up with finite blowing-up time $T_\infty.$ The adaptivity is utilizing similarity scaling adaptive grids studied by Berger and Kohn to study numerical solution of semilinear heat equations with finite blowing-up time.Furthermore, we reports an asymptotic behavior of the blow-up solution approaching $T_\infty$ time singularity.


2021 ◽  
Vol 26 (6) ◽  
pp. 1106-1122
Author(s):  
Ionuţ Munteanu

The present paper is devoted to the problem of stabilization of the one-dimensional semilinear heat equation with nonlocal initial conditions. The control is with boundary actuation. It is linear, of finite-dimensional structure, given in an explicit form. It allows to write the corresponding solution of the closed-loop equation in a mild formulation via a kernel, then to apply a fixed point argument in a convenient space.


Geophysics ◽  
1986 ◽  
Vol 51 (2) ◽  
pp. 357-368 ◽  
Author(s):  
Adam Gersztenkorn ◽  
J. Bee Bednar ◽  
Larry R. Lines

Seismic inversion can be formulated by considering a linearized integral relation which is deduced from the wave equation. This Born inversion approach is equivalent to linear least‐squares inversion for a particular parameterization of the medium. The least‐squares solution is a member of a family of generalized LP norm solutions which are deduced from a maximum‐likelihood formulation. This formulation allows design of various statistical inversion solutions. We present two iterative solutions to the one‐dimensional (1-D) seismic inverse problem: the iterative least‐squares (ILS) and the iterative reweighted least‐squares (IRLS) methods. The ILS method involves solving a distorted background velocity problem after the initial least‐squares solution is obtained. The IRLS method is used as a robust regression technique which is better suited for dealing with certain types of noise and is computationally faster than ILS. Several numerical examples demonstrate that the IRLS method accurately estimates impedance profiles despite the presence of large‐amplitude noise spikes in the seismic traces. Numerical experiments suggest that the IRLS inversion can also be insensitive to noise bursts which are of a lower frequency band than noise spikes.


2019 ◽  
Vol 34 (8) ◽  
pp. 1866-1878
Author(s):  
Alfonso Ruiz-Martínez ◽  
Marta Frasquet ◽  
Irene Gil-Saura

Purpose The purpose of this paper is to analyse the dimensional structure of relationship value by comparing the results of one-dimensional versus multidimensional conceptualisation in the prediction of satisfaction and loyalty in a B2B context. Design/methodology/approach A survey was carried out and 219 responses were obtained from retail companies in the furniture sector in Spain. The model was estimated using the partial least squares (PLS) approach. Findings The results revealed that the multidimensional conceptualisation of relationship value explained satisfaction and loyalty levels to a greater extent than the one-dimensional conceptualisation. Research limitations/implications Given the complexity involved in conceptualising relationship value, its study needs to be expanded to encompass other contexts. Practical implications Manufacturers should focus their efforts on improving each of the axes of relationship value, to ensure the satisfaction and loyalty of their retail customers. Originality/value This study integrates and justifies the measurement of relationship value and its axes in the nomological structure with other relational constructs.


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