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Dive into the research topics where Ian Knowles is active.

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Featured researches published by Ian Knowles.


Journal of Computational and Applied Mathematics | 2001

Parameter identification for elliptic problems

Ian Knowles

Abstract The problem of computing a principal coefficient function P in the differential equation −∇·(P(x)∇u)=f, x∈Ω⊂ R M , M⩾1, on a bounded region Ω from a knowledge of the solution function u and the right-hand side f, where u, f are known only approximately and P may have mild discontinuities, is solved by minimization of an associated functional.


Siam Journal on Applied Mathematics | 1999

Uniqueness for an Elliptic Inverse Problem

Ian Knowles

For the elliptic equation


Inverse Problems | 1998

A variational algorithm for electrical impedance tomography

Ian Knowles

-\nabla\cdot(p(x)\nabla v)+\lambda q(x)v=f,\ x\in\Omega\subset\bbR^n,


Journal of The London Mathematical Society-second Series | 2003

On the Inverse Resonance Problem

Brian Malcolm Brown; Ian Knowles; Rudi Weikard

the problem of determining when one or more of the coefficient functions p, q, and f are defined uniquely by a knowledge of one or more of the solution functions


Inverse Problems | 2005

A variational approach to an elastic inverse problem

Brian Malcolm Brown; Mathias Jais; Ian Knowles

v=v_{p,q,f,\lambda}


Journal of Differential Equations | 1981

On the boundary conditions characterizing J-selfadjoint extensions of J-symmetric operators

Ian Knowles

is considered.


Journal of Functional Analysis | 1985

On the extension problem for accretive differential operators

W. Desmond Evans; Ian Knowles

The problem of computing the coefficient function p in the elliptic differential equation , , , over a bounded region , from a knowledge of the Dirichlet-Neumann map for this equation, is of interest in electrical impedance tomography. A new approach to the computation of p involving the minimization of an associated functional is presented. The algorithm is simple to implement and robust in the presence of noise in the Dirichlet-Neumann data.


Journal of Immunological Methods | 1994

Characterization of chemical gradients in the collagen gel-visual chemotactic assay

Jeffrey L. Haddox; Ian Knowles; Charnell I. Sommers; Roswell R. Pfister

An ew technique is presented which gives conditions under which perturbations of certain base potentials are uniquely determined from the location of eigenvalues and resonances in the context of a Schr¨ odinger operator on a half line. The method extends to complex-valued potentials and certain potentials whose first moment is not integrable.


Proceedings of the Royal Society of Edinburgh: Section A Mathematics | 1980

On the point spectra of complex Sturm—Liouville operators

Ian Knowles; David Race

We present a variational approach to the seismic inverse problem of determining the coefficients C and ρ of the hyperbolic system of partial differential equations from traction and displacement data measured on the surface. A crucial point of our approach will be a transformation of the above system to an elliptic system of partial differential equations Thus, we transform the inverse problem for a hyperbolic system to an inverse problem for an elliptic system. We give a definition of the direct and inverse seismic problem, where we distinguish between the isotropic and anisotropic cases. Further, we develop the theoretical results that we need for a successful recovery procedure of the coefficients C and ρ in the isotropic case. Our approach consists of a minimization procedure based on a conjugate gradient descent algorithm. Finally, we present various numerical results that show the effectiveness of our approach.


Journal of Differential Equations | 1979

On stability conditions for second order linear differential equations

Ian Knowles

The study of boundary value problems involving linear differentiai equations with real-valued coefficients is by now a well-established area of analysis. On the other hand, much less is known about the solvability of such problems when the coefficients (or boundary conditions) are known to be complex. Examples of this latter type arise naturally, for example, in nuclear physics (e.g., the so-called optical mode1 for low energy scattering [ 1, p. IjO]), electromagnetic field theory (dielectric waveguides with heat loss (c.f. 19 I), or the propagation of radio waves through inhomogeneous media [S]), and elsewhere. In cases like these, the relevant differential expressions are no longer formally symmetric, and hence the powerful methods associated with the spectral theory of selfadjoint operators are not available. To facilitate the study of such problems, Glazman introduced in [4] the concept of a J-symmetric operator: In a complex Hilbert space R, let J be a given conjugation operator on 2’ (i.e., J is a conjugate-linear involution with (Jx, 3~) = (u, x) for all x and y in 2). A closed, densely defined linear operator T in 3’ is said to be J-symmetric if

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Aimin Yan

University of Alabama at Birmingham

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Robert W. Wallace

University of Alabama at Birmingham

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Rudi Weikard

University of Alabama at Birmingham

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Mary A. LaRussa

University of Alabama at Birmingham

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David Race

University of the Witwatersrand

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W. N. Everitt

University of Birmingham

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Charnell I. Sommers

University of Alabama at Birmingham

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Tuan Le

University of New Orleans

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R Meidan

University of the Witwatersrand

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