A fully Sinc-Galerkin method for recovering the spatially varying stiffness and damping parameters in Euler-Bernoulli beam models is presented. The forward problems are discretized with a sinc basis in both the spatial and temporal domains thus yielding an approximate solution which converges exponentially and is valid on the infinite time interval. Hence the method avoids the time-stepping which is characteristic of many of the forward schemes which are used in parameter recovery algorithms. Tikhonov regularization is used to stabilize the resulting inverse problem, and the L-curve method for determining an appropriate value of the regularization parameter is briefly discussed. Numerical examples are given which demonstrate the applicabili...
A numerical integration technique, a modified version of the Newmark method, is applied to transient...
A numerical integration technique, a modified version of the Newmark method, is applied to transient...
The paper presents two computational inverse procedures for reconstructing the stiffness distributio...
A fully Sinc-Galerkin method for recovering the spatially varying stiffness parameter in fourth-orde...
A fully Sinc-Galerkin method in both space and time is presented for fourth-order time-dependent par...
A numerical approximation scheme for the estimation of functional parameters in Euler-Bernoulli mode...
Theoretical and numerical results are presented for inverse problems involving estimation of spatial...
Approximation ideas are discussed that can be used in parameter estimation and feedback control for ...
The formulation and solution of inverse problems for the estimation of parameters which describe dam...
Approximation techniques for use in numerical schemes for estimating spatially varying coefficients ...
The field of inverse problems is an area in applied mathematics that is of great importance in sever...
The field of inverse problems is an area in applied mathematics that is of great importance in sever...
AbstractIn this paper, a non-local damping model including time and spatial hysteresis effects is us...
The field of inverse problems is an area in applied mathematics that is of great importance in sever...
A numerical integration technique, a modified version of the Newmark method, is applied to transient...
A numerical integration technique, a modified version of the Newmark method, is applied to transient...
A numerical integration technique, a modified version of the Newmark method, is applied to transient...
The paper presents two computational inverse procedures for reconstructing the stiffness distributio...
A fully Sinc-Galerkin method for recovering the spatially varying stiffness parameter in fourth-orde...
A fully Sinc-Galerkin method in both space and time is presented for fourth-order time-dependent par...
A numerical approximation scheme for the estimation of functional parameters in Euler-Bernoulli mode...
Theoretical and numerical results are presented for inverse problems involving estimation of spatial...
Approximation ideas are discussed that can be used in parameter estimation and feedback control for ...
The formulation and solution of inverse problems for the estimation of parameters which describe dam...
Approximation techniques for use in numerical schemes for estimating spatially varying coefficients ...
The field of inverse problems is an area in applied mathematics that is of great importance in sever...
The field of inverse problems is an area in applied mathematics that is of great importance in sever...
AbstractIn this paper, a non-local damping model including time and spatial hysteresis effects is us...
The field of inverse problems is an area in applied mathematics that is of great importance in sever...
A numerical integration technique, a modified version of the Newmark method, is applied to transient...
A numerical integration technique, a modified version of the Newmark method, is applied to transient...
A numerical integration technique, a modified version of the Newmark method, is applied to transient...
The paper presents two computational inverse procedures for reconstructing the stiffness distributio...