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      The technique of relaxed power series expansion provides an efficient
      way to solve so called recursive equations of the form  , where the unknown
, where the unknown  is a vector of power series, and where the solution
      can be obtained as the limit of the sequence
 is a vector of power series, and where the solution
      can be obtained as the limit of the sequence  . With respect to other techniques, such as Newton's
      method, two major advantages are its generality and the fact that it
      takes advantage of possible sparseness of
. With respect to other techniques, such as Newton's
      method, two major advantages are its generality and the fact that it
      takes advantage of possible sparseness of  .
      In this paper, we consider more general implicit equations of the form
.
      In this paper, we consider more general implicit equations of the form
       . Under mild assumptions on
      such an equation, we will show that it can be rewritten as a recursive
      equation. Preprint version only: If we are actually computing
      with analytic functions, then recursive equations also provide a
      systematic device for the computation of verified error bounds. We will
      show how to apply our results in this context.
. Under mild assumptions on
      such an equation, we will show that it can be rewritten as a recursive
      equation. Preprint version only: If we are actually computing
      with analytic functions, then recursive equations also provide a
      systematic device for the computation of verified error bounds. We will
      show how to apply our results in this context.
    
      Author: 
Keywords: implicit equation, relaxed power series, algorithm
A.M.S. subject classification: 68W25, 42-04, 68W30, 65G20, 30B10