AbstractAs the Tau method, like many other numerical methods, has the limitation of using a fixed step size with some high degree (order) of approximation for solving initial value problems over long intervals, we introduce here the adaptive operational Tau method. This limitation is very much problem dependent and in such case the fixed step size application of the Tau method loses the true track of the solution. But when we apply this new adaptive method the true solution is recovered with a reasonable number of steps. To illustrate the effectiveness of this method we apply it to some stiff systems of ordinary differential equations (ODEs). The numerical results confirm the efficiency of the method
AbstractThe paper explains the concepts of order and absolute stability of numerical methods for sol...
A non-linear explicit scheme has been studied for autonomous and non-autonomous initial value proble...
AbstractWe give sharp estimates for the number of extrema of the error of approximation of functions...
AbstractAs the Tau method, like many other numerical methods, has the limitation of using a fixed st...
AbstractOrtiz and Samara's operational approach to the Tau Method is extended to the numerical solut...
AbstractOrtiz and Samara's operational approach to the Tau Method is extended to the numerical solut...
AbstractA very simple way of selecting the step size when solving an initial problem for a system of...
AbstractThis paper is concerned with adaptive stiff solvers at low accuracy and complexity for syste...
AbstractWe consider a system of ordinary differential equations with constant coefficients and deduc...
We present a new strategy for solving stiff ODEs with explicit methods. By adaptively taking a small...
AbstractA new method is discussed by which estimates of upper and lower bounds of the maximum Tau Me...
AbstractIn this paper, we show the full equivalence between the recursive [1] and operational [2] fo...
AbstractThe ability of a recent formulation of the Tau method of Ortiz and Samara to give approximat...
AbstractWe consider a system of ordinary differential equations with constant coefficients and deduc...
While purely numerical methods for solving ordinary differential equations (ODE), e.g., Runge–Kutta ...
AbstractThe paper explains the concepts of order and absolute stability of numerical methods for sol...
A non-linear explicit scheme has been studied for autonomous and non-autonomous initial value proble...
AbstractWe give sharp estimates for the number of extrema of the error of approximation of functions...
AbstractAs the Tau method, like many other numerical methods, has the limitation of using a fixed st...
AbstractOrtiz and Samara's operational approach to the Tau Method is extended to the numerical solut...
AbstractOrtiz and Samara's operational approach to the Tau Method is extended to the numerical solut...
AbstractA very simple way of selecting the step size when solving an initial problem for a system of...
AbstractThis paper is concerned with adaptive stiff solvers at low accuracy and complexity for syste...
AbstractWe consider a system of ordinary differential equations with constant coefficients and deduc...
We present a new strategy for solving stiff ODEs with explicit methods. By adaptively taking a small...
AbstractA new method is discussed by which estimates of upper and lower bounds of the maximum Tau Me...
AbstractIn this paper, we show the full equivalence between the recursive [1] and operational [2] fo...
AbstractThe ability of a recent formulation of the Tau method of Ortiz and Samara to give approximat...
AbstractWe consider a system of ordinary differential equations with constant coefficients and deduc...
While purely numerical methods for solving ordinary differential equations (ODE), e.g., Runge–Kutta ...
AbstractThe paper explains the concepts of order and absolute stability of numerical methods for sol...
A non-linear explicit scheme has been studied for autonomous and non-autonomous initial value proble...
AbstractWe give sharp estimates for the number of extrema of the error of approximation of functions...