Mathematics of Computation · 1985 · 15 citations · 13 references
Natural SciencesMathematicsPhysicsComputational Fluid DynamicsComputational MechanicsComputational PhysicsApproximation MethodsConvergence AnalysisIterative SolversNumerical AlgorithmsNumerical AnalysisNumerical Methods For Differential EquationsGalerkin ApproximationGalerkin DiscretizationHigh-order Numerical SchemesHigh-order SchemesHyperbolic Equation SchemesHyperbolic Partial Differential EquationsSecond-order Differential EquationsTime-stepping Schemes
We analyze efficient, high-order accurate methods for the approximation of the solutions of linear, second-order hyperbolic equations with time-dependent coefficients. The methods are based on Galerkin-type discretizations in space and on a class of fourth-order accurate, two-step, cosine time-stepping schemes. Preconditioned iterative techniques are used to solve linear systems with the same operator at each time step. The schemes are supplemented by single-step high-order starting procedures and need no evaluations of derivatives of operators. <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="upper L squared"> <mml:semantics> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msup> </mml:mrow> <mml:annotation encoding="application/x-tex">{L^2}</mml:annotation> </mml:semantics> </mml:math> </inline-formula> -optimal error estimates are proved throughout.
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