Function Help: recsAccuracy | View code for recsAccuracy | Function Reference |

recsAccuracy

recsAccuracy Evaluates approximation accuracy SE = recsAccuracy(MODEL,INTERP,S) evaluates the accuracy of the approximation defined in the interpolition structure INTERP for the model defined in the object MODEL. The accuracy is assessed over the state variables contained in the n-by-d-by-y array S, as output by resSimul. recsAccuracy returns a n*y-by-d matrix SE containing the state variables on which the accuracy was evaluated. MODEL is an object created by recsmodel. INTERP is a structure, which includes the following fields: cx : coefficient matrix of the interpolation of the response variables fspace : a definition structure for the interpolation family (created by the function fundef) SE = recsAccuracy(MODEL,INTERP,S,OPTIONS) evaluates the accuracy with the parameters defined by the structure OPTIONS. The fields of the structure are extrapolate : 1 if extrapolation is allowed outside the interpolation space or 0 to forbid it (default: 1) [SE,LEE] = recsAccuracy(MODEL,INTERP,S,...) returns the matrix LEE containing the value of Euler equation error (in log10) evaluated on the grid points SE. [SE,LEE,lEF] = recsAccuracy(MODEL,INTERP,S,...) returns the nxy-by-m matrix lEF containing the value of equilibrium equation error (in log10) evaluated on the grid points SE. For models with finite bounds, this error is assessed using a minmax formulation: Ef = abs(min(max(-f,LB-x),UB-x)).