Sentence examples for stage order from inspiring English sources

Because a DIRK (diagonally implicit RK) method cannot have stage order greater than 1, we introduce quasi stage order conditions and derive some of their properties for DIRKs.

We construct methods of stage order q=s and order p=s with favourable stability properties.

Finally, we furnish examples of IMEX DIMSIMs of order p= 5 and p= 6 and stage order q= p, with good stability properties.

They observe that for methods with stage order at least p−1, and design order p, starting methods of order at least p are sufficient.

The stage order condition is a simplifying assumption that reduces the number of order conditions to be fulfilled when designing a Runge Kutta (RK) method.

In this section, we follow the stage order presented in Fig. 4. We begin with mode clustering and construction of the spanning tree, followed by runnables' mapping and determining of the required network bandwidth.

In the normal stage, orders come brokenly to the resource center in small number, and the order seldom has emergency requirement.

We consider a design problem involving a three-machine ordered flow shop with flexible stage ordering to determine, from a scheduling perspective, which layout (and which schedule) is the best.

Instead, the experiments show an absence of the 2D-line for the stage II GIC, a single 2D-line for the stage III compound and an upshift of the 2D line with increasing staging order (see Figure 2 ).

Fully implicit methods tested are either the backward differentiation formulas (BDF) or stage-order two, explicit, singly diagonally implicit Runge Kutta (ESDIRK) methods.

In this paper, the more general challenge to provide correct starting values for methods of low stage-order is met by showing how perturbed starting values should be selected for methods of order 6 and stage-order 3. The approach is sufficiently general that it may (and later will) be provided for such methods of higher orders.