Numerical Solution of Ordinary Differential Equations.
By John Charles Butcher, Lawrence F. Shampine. 1995
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Liviu Gr. Ixaru
- Guido Van den Berghe
- Hans E. De Meyer
- Kendall E. Atkinson
- Jan G. Verwer
- Hans Van De Vyver
- Weimin Han
- Radhakant Padhi
Citations in the corpus
- Exponentially fitted variable two-step BDF algorithm for first order ODEs☆ (2003, background): “The system is discussed in [13] to illustrate the stiffness, which increases with x .”
- A multirate time stepping strategy for stiff ordinary differential equations (2007, background): “This form of variable step size selection is standard; see for example [8, 14].”
- Impact-Angle-Constrained Suboptimal Model Predictive Static Programming Guidance of Air-to-Ground Missiles (2012, methodology): “The dynamics and guess history having been defined, the following algorithmic steps are performed in every guidance cycle: 1) Use the fourth-order Runge-Kutta (RK4) method [26] to propagate state dynamics using the preceding control history, U k , until the separation between the missile and target ”
- Solving ODEs with MATLAB (2003, methodology): “Proofs of these technical matters can be found in Kierzenka (1998) and Kierzenka & Shampine (2001). In passing, we remark that a simple shooting code can also be described as controlling residuals.”
- Numerical Solution of Ordinary Differential Equations: Atkinson/Numerical (2009, methodology): “Also, see Shampine [72] for a thorough study of one-step and multistep methods and of their implementation in computer software.”