METHOD TO SOLVE THIRD ORDER POLYNOMIALS

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PLACE: Mathematics Conference Room 626 UCD Building, 1250 14th St., Denver

TIME: 2 pm (Refreshments served at 1:45 pm)

DATE: April 5, 1999

Alexei Medovikov, Russian Academy of Sciences High order explicit methods for stiff ordinary differential equations. We discuss explicit Runge-Kutta methods. Most of well known explicitmethods has small stability domains with a step size limited by a stabilitycondition. This restriction makes explicit methods useless for stiffequations. We propose explicit embedded integration schemes with largestability domains.Firstly, we compute stability polynomials of a given order with optimalstabilitydomains, i.e. possessing a Chebyshev alternation; secondly, we construct acorresponding explicit Runge-Kutta method using the theory ofRunge-Kutta composition methods. Stability domain of the method increases as a square of the degree of theoptimal stability polynomial. To construct the stability polynomial oflarge degrees, we use an asymptotic formula for polynomials of the leastdeviationfrom zero with a weight function. This gives us a very stable procedure forlarge degrees. For example, our computer program with a third order explicit Runge-Kuttamethoduses polynomials of degree between 3 and 432. That provides stablecomputations approximately 432 times faster than the explicit Euler method.An explicit Runge-Kutta method of order $p$ can be accellarated up to$\beta_p*s$ times, where$\beta_1=2$, $\beta_2=0.81$, $\beta_3=0.49$ and $\beta_4=0.35$ and $s$ is thedegree of the polynomial used Large stability domains allow some reasonable stiffness; theexplicitness makes possible to solve very large problems, e.g., spacediscretization of parabolic PDE's. The high order produces accurate results andthe embedded formulas permit an efficient stepsize control.