/*

* Copyright (c) Numerical Method Inc.

* https://nm.dev/

*

* THIS SOFTWARE IS LICENSED, NOT SOLD.

*

* YOU MAY USE THIS SOFTWARE ONLY AS DESCRIBED IN THE LICENSE.

* IF YOU ARE NOT AWARE OF AND/OR DO NOT AGREE TO THE TERMS OF THE LICENSE,

* DO NOT USE THIS SOFTWARE.

*

* THE SOFTWARE IS PROVIDED "AS IS", WITH NO WARRANTY WHATSOEVER,

* EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION,

* ANY WARRANTIES OF ACCURACY, ACCESSIBILITY, COMPLETENESS,

* FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, NON-INFRINGEMENT,

* TITLE AND USEFULNESS.

*

* IN NO EVENT AND UNDER NO LEGAL THEORY,

* WHETHER IN ACTION, CONTRACT, NEGLIGENCE, TORT, OR OTHERWISE,

* SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR

* ANY CLAIMS, DAMAGES OR OTHER LIABILITIES,

* ARISING AS A RESULT OF USING OR OTHER DEALINGS IN THE SOFTWARE.

*/

package dev.nm.nmj;

import dev.nm.algebra.linear.matrix.doubles.Matrix;

import dev.nm.algebra.linear.matrix.doubles.matrixtype.dense.DenseMatrix;

import dev.nm.algebra.linear.matrix.doubles.operation.Inverse;

import dev.nm.algebra.linear.vector.doubles.Vector;

import dev.nm.algebra.linear.vector.doubles.dense.DenseVector;

/**

* Numerical Methods Using Java: For Data Science, Analysis, and Engineering

*

* @author haksunli

* @see

* https://www.amazon.com/Numerical-Methods-Using-Java-Engineering/dp/1484267966

* https://nm.dev/

*/

public class Chapter1 {

public static void main(String[] args) {

System.out.println("Chapter 1 demos");

Chapter1 chapter1 = new Chapter1();

chapter1.invert_matrix();

chapter1.innerProductDemo();

chapter1.a_vector();

}

public void a_vector() {

Vector v = new DenseVector(1., 2., 3.);

System.out.println(v);

}

public void innerProductDemo() {

System.out.println("dot product of two vectors");

Vector v1 = new DenseVector(new double[]{1., 2.});

Vector v2 = new DenseVector(new double[]{3., 4.});

double product = v1.innerProduct(v2);

System.out.println(product);

}

public void invert_matrix() {

System.out.println("invert a matrix");

Matrix A = new DenseMatrix(

new double[][]{

{1, 2, 3},

{6, 5, 4},

{8, 7, 9}

});

Matrix Ainv = new Inverse(A);

System.out.println(Ainv);

}

}