Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Nullspaces yield new explicit Runge--Kutta pairs

View through CrossRef
Abstract Sixty years ago Butcher [1] characterized a natural tabulation of the or- der conditions for Runge{Kutta methods as an isomorphism from the set of rooted trees having up to p nodes, and provided examples of explicit and implicit methods of several orders. Within a few years. Fehlberg [3] derived pairs of explicit methods of successive orders that could be implemented eciently by using the dierence of each pair of estimates to control the local error. Unfortunately, Fehlberg's pairs were decient for quadrature problems. Subsequently, this author [5],[6] derived para- metric families of explicit Runge{Kutta pairs of increasing orders 6 to 9 that avoided this problem altogether. These, and most known explicit methods, have been derived by exploiting certain 'simplifying conditions' suggested by Butcher [1] that imposed constraints on subsets of the co- ecients, and thereby simplied the solution of the order conditions for moderate to high order methods. 'Test 21', a MAPLE program developed recently by Butcher [2], was applied to derive known 13-stage pairs of orders 7 and 8. Unexpectedly, results of this application revealed the existence of some previously un- known methods - ie. some that satised most, but not all, of the previously known simplifying conditions. This present study develops formulas for directly computing exact coecients of these new pairs together with oth- ers lying within this new parametric family of (13,7-8) pairs. While the best of these new pairs falls short of the best of pairs already known, the properties discovered might be utilized to precisely characterize recently reported higher order methods found using other approaches by Khashin [4] and Zhang[7], and possibly lead to nding other Runge{Kutta and related yet unknown methods.
Research Square Platform LLC
Title: Nullspaces yield new explicit Runge--Kutta pairs
Description:
Abstract Sixty years ago Butcher [1] characterized a natural tabulation of the or- der conditions for Runge{Kutta methods as an isomorphism from the set of rooted trees having up to p nodes, and provided examples of explicit and implicit methods of several orders.
Within a few years.
Fehlberg [3] derived pairs of explicit methods of successive orders that could be implemented eciently by using the dierence of each pair of estimates to control the local error.
Unfortunately, Fehlberg's pairs were decient for quadrature problems.
Subsequently, this author [5],[6] derived para- metric families of explicit Runge{Kutta pairs of increasing orders 6 to 9 that avoided this problem altogether.
These, and most known explicit methods, have been derived by exploiting certain 'simplifying conditions' suggested by Butcher [1] that imposed constraints on subsets of the co- ecients, and thereby simplied the solution of the order conditions for moderate to high order methods.
'Test 21', a MAPLE program developed recently by Butcher [2], was applied to derive known 13-stage pairs of orders 7 and 8.
Unexpectedly, results of this application revealed the existence of some previously un- known methods - ie.
some that satised most, but not all, of the previously known simplifying conditions.
This present study develops formulas for directly computing exact coecients of these new pairs together with oth- ers lying within this new parametric family of (13,7-8) pairs.
While the best of these new pairs falls short of the best of pairs already known, the properties discovered might be utilized to precisely characterize recently reported higher order methods found using other approaches by Khashin [4] and Zhang[7], and possibly lead to nding other Runge{Kutta and related yet unknown methods.

Related Results

Μέθοδοι Runge-Kutta και Runge-Kutta-Nystrom με ειδικές ιδιότητες για την επίλυση διαφορικών εξισώσεων
Μέθοδοι Runge-Kutta και Runge-Kutta-Nystrom με ειδικές ιδιότητες για την επίλυση διαφορικών εξισώσεων
Στην παρούσα διδακτορική διατριβή μελετάται η αριθμητική επίλυση συστημάτων πρωτοβάθμιων και δευτεροβάθμιων συνήθων διαφορικών εξισώσεων με λύση ταλαντωτικής μορφής. Για την αριθμη...
Symplectic Partitioned Runge-Kutta and Symplectic Runge-Kutta Methods Generated by 2-Stage RadauIA Method
Symplectic Partitioned Runge-Kutta and Symplectic Runge-Kutta Methods Generated by 2-Stage RadauIA Method
To preserve the symplecticity property, it is natural to require numerical integration of Hamiltonian systems to be symplectic. As a famous numerical integration, it is known that ...
Solution of First Order Ordinary Differential Equations Using Fourth Order Runge-Kutta Method with MATLAB.
Solution of First Order Ordinary Differential Equations Using Fourth Order Runge-Kutta Method with MATLAB.
Differential Equations are used in developing models in the physical sciences, engineering, mathematics, social science, environmental sciences, medical sciences and other numerous...
Lilie, Licht und Gottes Weisheit: Philipp Otto Runge und Jacob Böhme
Lilie, Licht und Gottes Weisheit: Philipp Otto Runge und Jacob Böhme
AbstractThe influence of Jacob Böhme on early Romantic art and its philosophy has been largely neglected by modern scholars, even though tracing the impact of Böhme's writing opens...
A Split-Explicit Runge-Kutta methods for 3D hydrodynamic equations for coastal applications
A Split-Explicit Runge-Kutta methods for 3D hydrodynamic equations for coastal applications
<p>Numerical models of marine hydrodynamics have to deal with processes exhibiting a wide range of timescales. These processes include fast external gravity waves and...
Towards long-term simulations of planetary-scale vortices and storms on Jupiter and Saturn
Towards long-term simulations of planetary-scale vortices and storms on Jupiter and Saturn
Long-term simulations of planetary vortices and storms are essential for improving our understanding of the atmospheric dynamics on gas giants such as Jupiter and Saturn. These sim...
Numerical Methods: Euler and Runge-Kutta
Numerical Methods: Euler and Runge-Kutta
Most real life phenomena change with time, hence dynamic. Differential equations are used in mathematical modeling of such scenarios. Linear differential equations can be solved an...
A Chaotic Multi‐Objective Runge–Kutta Optimization Algorithm for Optimized Circuit Design
A Chaotic Multi‐Objective Runge–Kutta Optimization Algorithm for Optimized Circuit Design
Circuit design plays a pivotal role in engineering, ensuring the creation of efficient, reliable, and cost‐effective electronic devices. The complexity of modern circuit design pro...

Back to Top