Many direct and inverse problems in hydrology re quire the efficient solution of parabolic partial differential equations which are characterized by stiffness and numerical dispersion. An optimal method for solving such equations uses the method of lines to discretize the spatial variables and a finite-difference scheme to discretize time. This method is asymptotically stable and minimizes the global error caused by discretization of time. The numerical performance of the method has been evaluat ed on test problems that realistically simulate aquifers.
Akima, H.A Method of Bivariate Interpolation and Smooth Surface Fitting for Irregularly Distributed Data PointsACM Transactions on Mathematical Software vol. 4 no. 21978 pp. 148-164
2.
Cerimele, M.M.Pistella, F.Codici di Calcola Relativi ai Modelli Idrodinamici di un Canale ApertoQuaderni dell'Istituto per le Applicazioni del CalcolaRome no. 86 1978
3.
Delfiner, P.Delhomme, J.P.Optimum Interpolation by Kriging In J.C. Davis and M.J. McCullagh, editors, Display and Analysis of Spatial Data (Wiley, London, 1975)
4.
Drozdov, O.A.Sepelevskii, A.A.The Theory of Interpolation in a Stochastic Field of Meteorological Elements and Its Application to Meteorological Map and Network Rationalization ProblemsTrudy NIU GUGSM vol. 11946 p. 18
5.
Emsellem, Y.D, G.An Automatic Solution for the Inverse ProbLem WaterResources Research vol. 7 no. 51971 pp. 1264-1283
6.
7.
8.
9.
10.
11.
Salzano, G.Valente, V.Metodi di Ottimizzazione per l'-Identificazione di ParametriPubblicazioni dell'Istituto per le Applicazioni del CalcoloRome no. 144 1978
12.
Trigiante, D.Asymptotic Stability and Discretization on an InfiniteInterval Computing vol. 181977 pp. 117-129
13.
Trigiante, D.On Some Comparison Results Useful in Numerical Analysis Nonlinear Analysis, Theory, Methods and Applications vol. 2 no. 41978 pp. 465-472