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Numerical Solution Of Klein Gordon Equation. ∂ 2u ∂ 2u 2 − µ 2 + χ (x, t , u) = ψ (x, t ), a ≤ x ≤ b, t. Nonlinear phenomena, that occurs in many areas of scientific such as solid state.
Solving of KleinGordon by Two Methods of Numerical Analysis from www.scirp.org
To solve klein gordon equation with initial conditions, variety of analytical as well as numerical methods are available in the literature namely adomian decomposition method [1], b. ∂ 2u ∂ 2u 2 − µ 2 + χ (x, t , u) = ψ (x, t ), a ≤ x ≤ b, t. In this paper we present the numerical evolution of a test scalar field on a minkowski background using adaptive mesh refinement techniques.
It Is Obvious From The.
To solve klein gordon equation with initial conditions, variety of analytical as well as numerical methods are available in the literature namely adomian decomposition method [1], b. For this end, we use finite difference method for one variable to reduce these equations to a system of ordinary differential equations, then we solve this system and find the. Nonlinear phenomena, that occurs in many areas of scientific such as solid state.
∂ 2U ∂ 2U 2 − Μ 2 + Χ (X, T , U) = Ψ (X, T ), A ≤ X ≤ B, T.
Tension spline approach , approximate solution using sobolev. In this paper we present the numerical evolution of a test scalar field on a minkowski background using adaptive mesh refinement techniques. The method is applied on some test.
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