Higher-order Runge-Kutta (RK) time discretization methods for the optimal control of scalar conservation laws are analyzed and numerically tested. The hyperbolic nature of the state system introduces specific requirements on discretization schemes such that the discrete adjoint states associated with the control problem converge as well. Moreover, conditions on the RK-coefficients are derived that coincide with those characterizing strong stability preserving Runge-Kutta methods. As a consequence, the optimal order for the adjoint state is limited, e.g., to two even in the case where the conservation law is discretized by a third-order method. Finally, numerical tests for controlling Burgers equation validate the theoretical results
An error analysis is presented for explicit partitioned Runge-Kutta methods and multirate methods ap...
he method of lines approach for solving hyperbolic conservation laws is based on the idea of splitti...
In [28] and [13], an error estimate of optimal convergence rates and optimal error propagation (opti...
Higher-order Runge-Kutta (RK) time discretization methods for the optimal control of scalar conserva...
Higher-order Runge–Kutta (RK) time discretization methods for the optimal control of scalar conserva...
In this paper, optimal control problems subject to a nonlinear scalar conservation law are studied. ...
In this paper, we discuss the stability and error estimates of the fully discrete schemes for linear...
Orientadores: Maicon Ribeiro Correa, Eduardo Cardoso de AbreuTese (doutorado) - Universidade Estadua...
Abstract. Strong-stability-preserving Runge-Kutta (SSPRK) methods are a type of time discretization ...
Abstract. In this paper we further explore a class of high order TVD (total variation diminishing) R...
We analyze the convergence of discretization schemes for the adjoint equation arising in the adjoint...
This is the fifth paper in a series in which we construct and study the so-called Runge-Kutta Discon...
Semidiscretization in time is studied for a class of quasi-linear evolution equations in a framework...
Abstract. Discontinuities usually appear in solutions of nonlinear conservation laws even though the...
Despite the classical well-posedness theorem for entropy weak solutions of scalar conservation laws,...
An error analysis is presented for explicit partitioned Runge-Kutta methods and multirate methods ap...
he method of lines approach for solving hyperbolic conservation laws is based on the idea of splitti...
In [28] and [13], an error estimate of optimal convergence rates and optimal error propagation (opti...
Higher-order Runge-Kutta (RK) time discretization methods for the optimal control of scalar conserva...
Higher-order Runge–Kutta (RK) time discretization methods for the optimal control of scalar conserva...
In this paper, optimal control problems subject to a nonlinear scalar conservation law are studied. ...
In this paper, we discuss the stability and error estimates of the fully discrete schemes for linear...
Orientadores: Maicon Ribeiro Correa, Eduardo Cardoso de AbreuTese (doutorado) - Universidade Estadua...
Abstract. Strong-stability-preserving Runge-Kutta (SSPRK) methods are a type of time discretization ...
Abstract. In this paper we further explore a class of high order TVD (total variation diminishing) R...
We analyze the convergence of discretization schemes for the adjoint equation arising in the adjoint...
This is the fifth paper in a series in which we construct and study the so-called Runge-Kutta Discon...
Semidiscretization in time is studied for a class of quasi-linear evolution equations in a framework...
Abstract. Discontinuities usually appear in solutions of nonlinear conservation laws even though the...
Despite the classical well-posedness theorem for entropy weak solutions of scalar conservation laws,...
An error analysis is presented for explicit partitioned Runge-Kutta methods and multirate methods ap...
he method of lines approach for solving hyperbolic conservation laws is based on the idea of splitti...
In [28] and [13], an error estimate of optimal convergence rates and optimal error propagation (opti...