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On the Topological Derivative in Shape Optimization [PDF]

open access: yesSIAM Journal on Control and Optimization, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jan Sokolowski, Antoni Źochowski
exaly   +5 more sources

Shape Derivative of Drag Functional [PDF]

open access: yesSIAM Journal on Control and Optimization, 2010
In this paper, compressible, stationary Navier-Stokes equations are considered. The model is well-posed, and there exist weak solutions in bounded domains, subject to inhomogeneous boundary conditions. The shape sensitivity analysis is performed for Navier-Stokes boundary value problems in the framework of small perturbations of the so-called ...
Pavel I. Plotnikov, Jan Sokolowski
exaly   +2 more sources

The Second-Order Shape Derivative of Kohn–Vogelius-Type Cost Functional Using the Boundary Differentiation Approach

open access: yesMathematics, 2014
A shape optimization method is used to study the exterior Bernoulli free boundaryproblem. We minimize the Kohn–Vogelius-type cost functional over a class of admissibledomains subject to two boundary value problems. The first-order shape derivative of the
Jerico B. Bacani, Gunther Peichl
doaj   +3 more sources

On a Shape Derivative Formula in the Brunn--Minkowski Theory [PDF]

open access: yesSIAM Journal on Control and Optimization, 2017
Given a function \(f\) in \(\mathbb R^n\), a functional \(J\) can be defined in the class \(\mathcal{O}\) of open, bounded, convex subsets of \(\mathbb{R}^n\) by the formula \[ J(\Omega)=\int_\Omega f\,dx. \] The shape derivative formulas \[ \lim_{\varepsilon\to 0^+} {J((1-\varepsilon)\,\Omega_0+\varepsilon\, \Omega)-J(\Omega_0) \over \varepsilon ...
exaly   +3 more sources

Coupling Shape Optimization and Topological Derivative for Maxwell Equations

open access: yesAbstract and Applied Analysis, 2022
The paper deals with a coupling algorithm using shape and topological derivatives of a given cost functional and a problem governed by nonstationary Maxwell’s equations in 3D. To establish the shape and topological derivatives, an adjoint method is used.
SY Alassane
doaj   +1 more source

The Q$Q$‐shaped derived category of a ring

open access: yesJournal of the London Mathematical Society, 2022
For any ring $A$ and a small, preadditive, Hom-finite, and locally bounded category $Q$ that has a Serre functor and satisfies the (strong) retraction property, we show that the category of additive functors from $Q$ to the category of (left) $A$-modules has a projective and an injective model structure.
Holm, Henrik, Jørgensen, Peter
openaire   +6 more sources

Reconstruction of time-shifted hemodynamic response

open access: yesScientific Reports, 2022
Regression of voxel time course onto expected response is a standard procedure in functional magnetic resonance imaging that relies on exact onset time and shape of superimposed hemodynamic response functions.
Bärbel Herrnberger
doaj   +1 more source

Turing instability and pattern formation of a fractional Hopfield reaction–diffusion neural network with transmission delay

open access: yesNonlinear Analysis, 2022
It is well known that integer-order neural networks with diffusion have rich spatial and temporal dynamical behaviors, including Turing pattern and Hopf bifurcation.
Jiazhe Lin, Jiapeng Li, Rui Xu
doaj   +1 more source

An Optimal Shaped Sensor Array Derivation

open access: yesMicromachines, 2023
In Structural Health Monitoring (SHM) applications, the Direction of Arrival (DoA) estimation of Guided Waves (GW) on sensor arrays is often used as a fundamental means to locate Acoustic Sources (AS) generated by damages growth or undesired impacts in thin-wall structures (e.g., plates or shells).
Marco Dibiase, Luca De Marchi
openaire   +3 more sources

TOPOLOGICAL ALGORITHMS TO SOLVE INVERSE PROBLEM IN ELECTRICAL TOMOGRAPHY

open access: yesInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2017
In this paper, there were investigated topological algorithms to solve the inverse problem in electrical tomography. The level set method, material derivative, shape derivative and topological derivative are based on shape and topology optimization ...
Tomasz Rymarczyk
doaj   +1 more source

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