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Titlebook: Constructive Methods for Nonlinear Boundary Value Problems and Nonlinear Oscillations; Conference at the Ob J. Albrecht,L. Collatz,K. Kirch

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Uranium, Mining and HydrogeologyThis paper is concerned in a class of bifurcation problems in ordinary differential equations. It is shown how some basic aspects of bifurcation can be handled by standard methods of numerical analysis. The procedure is illustrated by four examples.
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Bindegewebe bei gestörter FunktionIn this note we use the finite dimensional iteration techniques developed in [3] to include the critical value of a circular membrane under constant normal pressure.
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,Obere Schranken für die Ausbreitungsgeschwindigkeit bei Parabolischen FunktionaldifferentialgleichuA method for the computation of upper bounds for the speed of generalized travelling front — solutions of parabolic functional-differential equations is given. It depends on the construction of majorizing functions of exponential type.
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Bounds for the Critical Value of a Nonlinear Circular Membrane under Normal Pressure,In this note we use the finite dimensional iteration techniques developed in [3] to include the critical value of a circular membrane under constant normal pressure.
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Innovationswettbewerb bei Spilloveruarantee consistency and stability of the method and hence convergence of the finite difference solutions. Furthermore, under analogous assumptions a local convergence theorem holds in the nonlinear case. In this paper we give two global versions of this local result, one which yields a global stabi
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Unternehmensstrategien im Wettbewerbrmeability k(x,y) can be formulated as follows: Find ϕ ∈ C.[r,R] and . such that (ku.). + (ku.). =0 in Ω, u(R,y) = H for 0 < y < H, u.(x,0) = 0 for r < x < R, u(r,y) = h. for 0 < y < h., u(r,y) = y for h. < y < ϕ (r), u.(x, ϕ (x)) = 0 and u(x, ϕ (x)) = ϕ (x) for r < x < R, where Ω = { (x,y: 0 < y <
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Unternehmensstrategien im Wettbewerbed. Such algorithms have been used successfully in plasma physics [11], but no satisfactory theoretical justification of convergence was known. While in [7] only the nondiscretized case was discussed, here an analogous algorithm for nonlinear eigenvalue problems in ℝ. will be treated. This algorithm
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