Example #1
0
        private int SearchMinimumByDivision(LinearAlgebra.DoubleVector bound0, LinearAlgebra.DoubleVector bound1, int numberOfInitialDivisions)
        {
            double minValue = double.PositiveInfinity;
            int    imin     = -1;

            for (int i = 0; i <= numberOfInitialDivisions; i++)
            {
                double r        = i / (double)numberOfInitialDivisions;
                double actValue = FunctionEvaluation(bound0 * (1 - r) + bound1 * r);
                if (actValue < minValue)
                {
                    minValue = actValue;
                    imin     = i;
                }
            }
            return(imin);
        }
Example #2
0
        public LinearAlgebra.DoubleVector Search(LinearAlgebra.DoubleVector bound0, LinearAlgebra.DoubleVector bound1, int numberOfInitialDivisions, int numberOfSubsequentDivisions, int divisionDepth)
        {
            if (numberOfInitialDivisions < 2)
            {
                throw new ArgumentOutOfRangeException("Number of initial divisions must not smaller than 2");
            }
            if (numberOfSubsequentDivisions < 2)
            {
                throw new ArgumentOutOfRangeException("Number of subsequent divisions must be not smaller than 2");
            }

            int actualNumberOfDivisions = numberOfInitialDivisions;
            int imin = SearchMinimumByDivision(bound0, bound1, actualNumberOfDivisions);

            if (imin < 0)
            {
                throw new ArgumentOutOfRangeException("Function evaluation resulted in either all invalid or infinite function values");
            }

            double r     = imin / (double)actualNumberOfDivisions;
            double rstep = 1 / (double)actualNumberOfDivisions;

            double rmin = Math.Max(0, r - rstep);
            double rmax = Math.Min(1, r + rstep);

            DoubleVector xLeft  = bound0 * (1 - rmin) + bound1 * rmin;
            DoubleVector xRight = bound0 * (1 - rmax) + bound1 * rmax;

            if (divisionDepth <= 0)
            {
                return(bound0 * (1 - r) + bound1 * r);
            }
            else if (numberOfSubsequentDivisions == 2)
            {
                DoubleVector xMiddle = bound0 * (1 - r) + bound1 * r;
                return(BinaryMinimumSearch(xLeft, FunctionEvaluation(xLeft), xMiddle, FunctionEvaluation(xMiddle), xRight, FunctionEvaluation(xRight), divisionDepth));
            }
            else
            {
                return(SearchMinimumByRecursiveDivisions(xLeft, xRight, numberOfSubsequentDivisions, divisionDepth));
            }
        }
Example #3
0
        public override LinearAlgebra.DoubleVector Search(LinearAlgebra.DoubleVector x, LinearAlgebra.DoubleVector direction, double step)
        {
            var    retx   = new DoubleVector(x);
            double oldVal = FunctionEvaluation(retx);
            double newVal = oldVal;

            // First find the initial direction
            double valPos = FunctionEvaluation(retx + direction * step);
            double valNeg = FunctionEvaluation(retx - direction * step);

            if (valPos >= oldVal && valNeg < oldVal) // we reverse the direction only if the other direction really gives the smaller result
            {
                retx  -= direction * step;
                oldVal = valNeg;
                step   = -step;
            }
            else if (valPos < oldVal)
            {
                retx  += direction * step;
                oldVal = valPos;
            }

            // now iterate
            for (; ;)
            {
                retx  += direction * step;
                newVal = FunctionEvaluation(retx);

                if (newVal > oldVal)
                {
                    step /= -2;
                }
                else if (!(newVal != oldVal))
                {
                    break;
                }
                oldVal = newVal;
            }

            return(retx);
        }
Example #4
0
 public override LinearAlgebra.DoubleVector Search(LinearAlgebra.DoubleVector x, LinearAlgebra.DoubleVector direction, double step)
 {
     return(Search(x, x + direction * step, _numberOfInitialDivisions, _numberOfSubsequentDivisions, _divisionDepth));
 }