Procedural interface Sample Clauses

Procedural interface. The following procedures provide procedural interface to the members of classes SLipInt SLipIntInf and STCInterpolant. It is useful when call- ing LibLip from procedural languages (like Fortran) or other packages (like Matlab, Mathematica). Note that all parameters are passed by reference, as this may be required by such languages. Not all the methods of SLipInt and SLipIntInf classes have procedural in- terface. There is no interface for specifying additional bounds (ExtraUpperBound, ExtraLowerBound methods), nor interface to the members of SLipIntLp class. Interface to the members of SLipInt class double LipIntValue(int* Dim, int* N, double* x, double* X, double* Y, double* LC, int* Index=NULL); i × Computes and returns the value of the interpolant g(x). Does not require any preprocessing. dim is the dimension, N is the number of data, x is the vector of size dim, X is the vector of data of size N dim which contains values xk in its rows, y is the vector of size N of values to be interpolated, LC is the Lipschitz constant. Notes: The optional parameter index is an array of size N , used to index the data in a large data set, which are used in the construction of the interpolant. For example, index[0]=1, index[1]=5, ... One can use the data for interpolation selec- tively, by indexing the required values. The parameter N should be the number of selected data used in the interpolation, not the size of the whole data set. double LipIntValueAuto(int* Dim, int* N, double* x, double* X, double* Y, int* Index=NULL); Variation of the above, uses Lipschitz constants automaticlly identified from the data. Should only be called after LipIntComputeLipschitz(), or LipIntComputeLipschitzCV(), or LipIntComputeLipschitzSplit(). double LipIntValueCons(int* Dim, int* N, int* Cons, double* x, double* X, double* Y, double* LC, int* Index=NULL); − Same as LipIntValue(), for monotone functions. Cons is an array of size Dim specifying monotonicity constraints. Constraints are coded as follows: Cons[i] = 1 means the function is increasing with respect to the i-th variable, Cons[i] = 1 means it is decreasing, Cons[i] = 0 means unrestricted. double LipIntValueConsLeftRegion(int* Dim, int* N, int* Cons, double* x, double* X, double* Y, double* LC, double* Region, int* Index=NULL); ≤ Same as LipIntValueCons(), for monotone functions in the region x LeftRegion. LeftRegion is a vector of size dim denoting the top right corner of the region of monotonicity. ≥ double LipIntValueConsRig...
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