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Titlebook: Conference on Applications of Numerical Analysis; Held in Dundee/Scotl John Ll. Morris Conference proceedings 1971 Springer-Verlag Berlin H

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樓主: concord
11#
發(fā)表于 2025-3-23 11:22:51 | 只看該作者
https://doi.org/10.1007/BFb0069442Analysis; Derivative; Eigenvalue; calculus; differential equation; finite element method; numerical analys
12#
發(fā)表于 2025-3-23 15:26:47 | 只看該作者
978-3-540-05656-0Springer-Verlag Berlin Heidelberg 1971
13#
發(fā)表于 2025-3-23 18:55:34 | 只看該作者
14#
發(fā)表于 2025-3-23 22:34:36 | 只看該作者
15#
發(fā)表于 2025-3-24 02:30:16 | 只看該作者
Limin Jao,Melissa Proietti,Marta Kobielansfer. An instability in this scheme, due to interlinkages between the flow and energy equations, was discovered when the solution procedure was applied to the problem of buoyancy in a stably-stratified fluid. This instability was removed by devising a special underrelaxation procedure for the tempe
16#
發(fā)表于 2025-3-24 10:30:17 | 只看該作者
https://doi.org/10.1007/978-3-0348-8419-8s depend on a bound for the norm of the fundamental matrix of a linear system and on a bound for the norm of the approximation defect. Error bounds are usually expressed as the solution of a linear differential equation but may also be obtained as the solution of a Riccati equation.
17#
發(fā)表于 2025-3-24 12:23:45 | 只看該作者
Bounds for the error in approximate solutions of ordinary differential equations,s depend on a bound for the norm of the fundamental matrix of a linear system and on a bound for the norm of the approximation defect. Error bounds are usually expressed as the solution of a linear differential equation but may also be obtained as the solution of a Riccati equation.
18#
發(fā)表于 2025-3-24 16:13:36 | 只看該作者
Geert Somsen,Frans van LunterenSome inclusion theorems for the solutions of linear and nonlinear integral equations can be used for the numerical calculation of the solutions. To obtain good error bounds, one has to solve unusual types of approximation problems e.g. in particular field type approximation problems as one sided approximations with infinitely many restrictions.
19#
發(fā)表于 2025-3-24 23:04:24 | 只看該作者
https://doi.org/10.1007/978-3-031-29115-9Assume that the linear two-point boundary value problem . possesses a unique solution for all λ in the interval 0 ≤ λ ≤ Λ. Consider λ to be a random variable with probability density function f(λ), 0 ≤ λ ≤ Λ. A method for determining the moments . is presented. Numerical experiments show the computational feasibility of the new approach.
20#
發(fā)表于 2025-3-25 02:42:08 | 只看該作者
Nonlinear integral equations and field approximation problems,Some inclusion theorems for the solutions of linear and nonlinear integral equations can be used for the numerical calculation of the solutions. To obtain good error bounds, one has to solve unusual types of approximation problems e.g. in particular field type approximation problems as one sided approximations with infinitely many restrictions.
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