Mathematics of Computation · 1984 · 80 citations · 10 references
Natural SciencesComputational EngineeringMathematicsComputational MechanicsComputational PhysicsDifferential EquationsApproximation MethodsNumerical AlgorithmsNumerical AnalysisNumerical ConvergenceNumerical IntegrationNumerical Methods For Differential EquationsDifferential Equation SolversDiscretizationNumerical DiscretizationNumerical Methods For Integral EquationsTime DiscretizationVolterra EquationsVolterra Integral Equations
Implicit Runge-Kutta methods with <italic>m</italic> stages and optimal order <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="p equals 2 m"> <mml:semantics> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>=</mml:mo> <mml:mn>2</mml:mn> <mml:mi>m</mml:mi> </mml:mrow> <mml:annotation encoding="application/x-tex">p = 2m</mml:annotation> </mml:semantics> </mml:math> </inline-formula> for the approximate solution of Volterra integro-differential equations can be viewed as fully discretized collocation methods in certain polynomial spline spaces. The choice of the quadrature formulas needed for the full discretization of the collocations is investigated, and it is shown that, in contrast to ordinary differential equations, there exist (for fixed <italic>m</italic> ) several optimal methods.
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<i>Analysis of Numerical Methods</i>
Eugene Isaacson, Herbert B. Keller, George H. Weiss · Physics Today · 1967 · 2.3K citations
Willard L. Miranker, Eugene Isaacson, Herbert B. Keller · Mathematics of Computation · 1967 · 1.9K citations
Stability of numerical methods for volterra integro-differential equations
H. Brunner, J. D. Lambert · Computing · 1974 · 89 citations