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InterpolateRoot
searches for a numerical solution to the equation 
using 
and 
as the first two values of x.
更多信息
- To use
, you first need to load the Function Approximations Package using Needs["FunctionApproximations`"]. 
gives the solution as a rule of the form 
.
will search for a root of the equation expr==0.
searches for a solution using inverse cubic interpolation of the last four data points. It does not use derivative information.
works very slowly when the solution is a multiple root.
is not as robust as FindRoot. However, it is useful when the location of the root is approximately known, each evaluation of the function is expensive, and high precision is desired.- If the equation and starting values are real, then
will search only for real roots, otherwise it will search for complex roots. - The following options can be given:
-
AccuracyGoal Automatic the accuracy sought MaxIterations 15 maximum number of iterations to use ShowProgress False whether progress is to be monitored WorkingPrecision 40 the precision to use in internal computations - The setting for AccuracyGoal refers to the accuracy of the root rather than the magnitude of the residual at the root.
- The precision used in internal computations typically varies from a little more than machine precision at the beginning to the setting for WorkingPrecision at the end.
- The setting for WorkingPrecision may be exceeded to achieve the desired AccuracyGoal.
- If
does not succeed in finding a solution to the desired accuracy within MaxIterations steps, it returns the most recent approximation found. - With ShowProgress->True,
will print 
followed by 
, where: -
accuracy estimate of the accuracy of the current approximation to the solution x current approximation to the solution precision current working precision extraprecision number of extra digits of precision being used delta predicted change in the approximation during the next iteration
