For stiff types of these, Richardsonian extrapolation algorithms far outperform the other general type. Methods for conquering them can be implicit, such as Adams-Moulton, or explicit, such as Adams-Bashforth. Some non-iterative solvers for these add a middle step called a modifier, however, these predictor-corrector methods are not self-starting and must be initiated, for example using Runge-Kutta [RUN-guh CUT-tuh] algorithms. They can be handled analytically using either D operators or integral transforms, both of which generally transform th
For stiff types of these, Richardsonian extrapolation algorithms far outperform the other general type. Methods for conquering them can be implicit, such as Adams-Moulton, or explicit, such as Adams-Bashforth. Some non-iterative solvers for these add a middle step called a modifier, however, these predictor-corrector methods are not self-starting and must be initiated, for example using Runge-Kutta [RUN-guh CUT-tuh] algorithms. They can be handled analytically using either D operators or integral transforms, both of which generally transform them into sets algebraic equations. FTP, identify this type of equation involving derivatives in only one dependent variable.
For stiff types of these, Richardsonian extrapolation algorithms far outperform the other general type.
ordinary differential equations (prompt on differential equation)