TY - JOUR
T1 - A new approach to estimating a numerical solution in the error embedded correction framework
AU - Kim, Philsu
AU - Piao, Xiangfan
AU - Jung, Won Kyu
AU - Bu, Sunyoung
N1 - Publisher Copyright:
© 2018, The Author(s).
PY - 2018/12/1
Y1 - 2018/12/1
N2 - On the basis of the error correction method developed recently, an algorithm, so-called error embedded error correction method, is proposed for initial value problems. Two deferred equations are used to approximate the solution and the error, respectively, at each integration step. For the solution, the deferred equation, which is based on a modified Euler’s polygon including the information of both the solution and its estimated error at the previous integration step, is solved with the classical fourth-order Runge–Kutta method. For the error, the deferred equation, which is based on a local Hermite cubic polynomial with three pieces of information—the solution, its estimated error at the previous step, and the constructed solution—is solved by the seventh-order Runge–Kutta–Fehlberg method. The constructed algorithm controls the error and possesses a good behavior of error bound in a long time simulation. Numerical experiments are presented to validate the proposed algorithm.
AB - On the basis of the error correction method developed recently, an algorithm, so-called error embedded error correction method, is proposed for initial value problems. Two deferred equations are used to approximate the solution and the error, respectively, at each integration step. For the solution, the deferred equation, which is based on a modified Euler’s polygon including the information of both the solution and its estimated error at the previous integration step, is solved with the classical fourth-order Runge–Kutta method. For the error, the deferred equation, which is based on a local Hermite cubic polynomial with three pieces of information—the solution, its estimated error at the previous step, and the constructed solution—is solved by the seventh-order Runge–Kutta–Fehlberg method. The constructed algorithm controls the error and possesses a good behavior of error bound in a long time simulation. Numerical experiments are presented to validate the proposed algorithm.
KW - Error correction method
KW - Initial value problem
KW - Long time simulation
KW - Runge–Kutta method
KW - Runge–Kutta–Fehlberg method
UR - http://www.scopus.com/inward/record.url?scp=85046680814&partnerID=8YFLogxK
U2 - 10.1186/s13662-018-1619-6
DO - 10.1186/s13662-018-1619-6
M3 - Article
AN - SCOPUS:85046680814
SN - 1687-1839
VL - 2018
JO - Advances in Difference Equations
JF - Advances in Difference Equations
IS - 1
M1 - 168
ER -