Ejemplo n.º 1
0
        /**
         * @brief Výpočet smerodajnej odchýlky
         *
         * @param list Zoznam double, z ktorého vypočítať smerodajnú odchýlku
         * @return Smerodajná odchýlka
         */
        public static double GetStandartDeviation(List <double> list)
        {
            int    N   = list.Count;
            double tmp = MatLib.subtract(GetSumSqr(list), MatLib.multiply(N, MatLib.square(GetArithmeticMean(list))));

            try
            {
                tmp = MatLib.divide(tmp, N - 1);
            }
            catch (DivideByZeroException e)
            {
                Console.WriteLine("{0}", e.Message);
                Console.WriteLine("Press any key to continue . . .");
                Console.Read();
                Environment.Exit(-1);
            }

            tmp = MatLib.sqrt(tmp);
            return(tmp);
        }
Ejemplo n.º 2
0
        public void ShouldMultiply()
        {
            Assert.AreEqual(1, MatLib.multiply(1, 1));
            Assert.AreEqual(0, MatLib.multiply(1, 0));
            Assert.AreEqual(0, MatLib.multiply(100000, 0));
            Assert.AreEqual(0, MatLib.multiply(0, 100000));
            Assert.AreEqual(4, MatLib.multiply(2, 2));
            Assert.AreEqual(-4, MatLib.multiply(2, -2));
            Assert.AreEqual(6, MatLib.multiply(-2, -3));
            Assert.AreEqual(625, MatLib.multiply(25, 25));
            Assert.AreEqual(1.805375, MatLib.multiply(1.625, 1.111), Accuracy);
            Assert.AreEqual(-1.805375, MatLib.multiply(-1.625, 1.111), Accuracy);
            Assert.AreEqual(-1.805375, MatLib.multiply(1.625, -1.111), Accuracy);
            Assert.AreEqual(1.805375, MatLib.multiply(-1.625, -1.111), Accuracy);
            Assert.AreEqual(0.0009, MatLib.multiply(9, 0.0001), Accuracy);


            Assert.AreNotEqual(100, MatLib.multiply(10, -10));
            Assert.AreNotEqual(0.13, MatLib.multiply(0.4, 0.3));
            Assert.AreNotEqual(-10000, MatLib.multiply(-100, -100));
            Assert.AreNotEqual(-0.002, MatLib.multiply(0.0002, -0.1), Accuracy);
        }