Titlebook: Computation and Control IV; Proceedings of the F Kenneth L. Bowers,John Lund Conference proceedings 1995 Birkhäuser Boston 1995 Computation

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https://doi.org/10.1007/978-1-4757-1856-0e transverse bending equation for a beam (cf. [10], [11]). The external applied forces (or controls . = .) are precisely the class that arise in current versions of “smart material” structures when beams or plates are loaded with piezoceramic actuators and sensors (e.g. see [3], [4] and the referenc

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Management of Furcation Defectsescribe the integral representations of feedback gain operators. Even with no damping the LQR problem has a solution since the input operator is the identity (the system is exactly controllable). However, as we see below the problem with no damping is extremely complex. Basic questions concerning th

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Towards a Slime Mould-FPGA Interfaceof variable ξ = −η in the integral over (−∞,0) × [0,.] to only compute integrals over (0,∞) × [0,.]. In the first case, the conformal map is the identity; in the other one it is log(sinh(.)). Our numerical results show that for the problem considered here, the first approach is more efficient and mo

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Santanu Banerjee,Reza Barati,Shirish Patilc conductivity. The first method is the commonly used kriging (after D.G. Krige [11]) method. Kriging is a minimum-mean- squared-error technique which is equivalent to optimal spatial linear estimation [4]. The second method is a regularized least squares, whose penalty term is suggested in [9] in the context of photon emission tomography.

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A Comparison of Estimation Methods for Hydraulic Conductivity Functions from Field Data,c conductivity. The first method is the commonly used kriging (after D.G. Krige [11]) method. Kriging is a minimum-mean- squared-error technique which is equivalent to optimal spatial linear estimation [4]. The second method is a regularized least squares, whose penalty term is suggested in [9] in the context of photon emission tomography.

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ceedings represent the continued evolution of the cross-disciplinary dia­ logue begun at the 1988 conference (Volume 1 of PSCT) and continued on a biennial basis in 1990 and 1992. Those proceedings are housed in Volume 11 of PSCT and Volume 15 of PSCT, respectively. In recent years considerable effo

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Athanasios A. Tsekouras,Panos Macherast of the published spline algorithms are for polynomial splines and the vast preponderance are for cubic splines. There is a small but excellent literature on the so called exponential splines and there is an even smaller literature on splines with more or less arbitrary nodal functions,[9, 3].

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