Numerical solution methods for distributed order differential equations
By Kai Diethelm, Neville J. Ford. 2001
52 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/4ed8f673841a52e7633aa287a508fdd4ea10f7fb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Neville J. Ford
- Maria Luísa Morgado
- Kai Diethelm
- Magda Rebelo
- Rudolf Gorenflo
- Sabir Umarov
- Lu´ıs L. Ferr´as
- Weihua Deng
Citations in the corpus
- Numerical analysis for distributed-order differential equations (2009, methodology): “In [12] we considered already an equation where the orders were distributed over [0.”
- Cauchy and Nonlocal Multi-Point Problems for Distributed Order Pseudo-Differential Equations, Part One (2005, background): “In recent years such equations have met interest of several researchers (see, for example [2], [5]– [8], [22], [30] and references therein) who have treated relevant physical and numerical problems, mainly of evolutionary character.”
- Numerical solution for diffusion equations with distributed order in time using a Chebyshev collocation method (2017, methodology): “The random walk theory was popularised by Karl Pearson in his letter to Nature (1905) [55], where he proposed the following problem: a man starts from a point O and walks l yards in a ∗Corresponding author Email addresses: luisam@utad.pt (Maria Lúısa Morgado ), msjr@fct.unl.pt (Magda Rebelo ), luis”