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RVector.cs
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RVector.cs
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using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace Diffusion2D_Library
{
/// <summary>
/// Define a vector structre for real-valued data
/// </summary>
[Serializable]
public class RVector : ICloneable
{
// Fields
private readonly int ndim;
private double[] vector;
// Constructors
public RVector(int ndim)
{
this.ndim = ndim;
vector = new double[ndim];
for (int i = 0; i < ndim; i++)
{
vector[i] = 0.0;
}
}
public RVector(double[] cv)
{
ndim = cv.Length;
vector = cv;
}
//Indexers
public double this[int i]
{
get
{
if (i < 0 || i > ndim)
{
throw new Exception("i is out of range!");
}
return vector[i];
}
set { vector[i] = value; }
}
// Accessors
public int GetRVectorSize
{
get { return ndim; }
}
public RVector Section(int si, int ei)
{
if (ei > ndim || si > ndim) { throw new Exception("indices are out of range!"); }
if (ei < si) { int hold = si; si = ei; ei = hold; }
int length = ei - si;
RVector rv = new(length);
for (int i = si; i < ei; i++) { rv[i - si] = vector[i]; }
return rv;
}
// Override Methods
public override string ToString()
{
string str = "{";
for (int i = 0; i < ndim - 1; i++)
{
str += vector[i] + ", ";
}
str += vector[ndim - 1] + "}";
return str;
}
public override bool Equals(object obj)
{
return (obj is RVector vector1) && Equals(vector1);
}
public bool Equals(RVector cv)
{
return vector == cv.vector;
}
public override int GetHashCode()
{
return vector.GetHashCode();
}
public static bool operator ==(RVector v1, RVector v2)
{
return v1.Equals(v2);
}
public static bool operator !=(RVector v1, RVector v2)
{
return !v1.Equals(v2);
}
public static RVector operator +(RVector cv)
{
return cv;
}
public static RVector operator +(RVector v1, RVector v2)
{
RVector result = new(v1.GetRVectorSize);
for (int i = 0; i < v1.GetRVectorSize; i++)
{
result[i] = v1[i] + v2[i];
}
return result;
}
public static RVector operator +(RVector cv, double d)
{
RVector result = new(cv.GetRVectorSize);
for (int i = 0; i < cv.GetRVectorSize; i++)
{
result[i] = cv[i] + d;
}
return result;
}
public static RVector operator +(double d, RVector cv)
{
RVector result = new(cv.GetRVectorSize);
for (int i = 0; i < cv.GetRVectorSize; i++)
{
result[i] = cv[i] + d;
}
return result;
}
public static RVector operator -(RVector cv)
{
double[] result = new double[cv.GetRVectorSize];
for (int i = 0; i < cv.GetRVectorSize; i++)
{
result[i] = -cv[i];
}
return new RVector(result);
}
public static RVector operator -(RVector v1, RVector v2)
{
RVector result = new(v1.GetRVectorSize);
for (int i = 0; i < v1.GetRVectorSize; i++)
{
result[i] = v1[i] - v2[i];
}
return result;
}
public static RVector operator -(RVector cv, double d)
{
RVector result = new(cv.GetRVectorSize);
for (int i = 0; i < cv.GetRVectorSize; i++)
{
result[i] = cv[i] - d;
}
return result;
}
public static RVector operator -(double d, RVector cv)
{
RVector result = new(cv.GetRVectorSize);
for (int i = 0; i < cv.GetRVectorSize; i++)
{
result[i] = d - cv[i];
}
return result;
}
public static RVector operator *(RVector cv, double d)
{
RVector result = new(cv.GetRVectorSize);
for (int i = 0; i < cv.GetRVectorSize; i++)
{
result[i] = cv[i] * d;
}
return result;
}
public static RVector operator *(double d, RVector cv)
{
RVector result = new(cv.GetRVectorSize);
for (int i = 0; i < cv.GetRVectorSize; i++)
{
result[i] = d * cv[i];
}
return result;
}
public static RVector Product(RVector v1, RVector v2)
{
RVector result = new(v1.GetRVectorSize);
for (int i = 0; i < v1.GetRVectorSize; i++)
{
result[i] = v1[i] * v2[i];
}
return result;
}
public static RVector operator /(RVector cv, double d)
{
RVector result = new(cv.GetRVectorSize);
for (int i = 0; i < cv.GetRVectorSize; i++)
{
result[i] = cv[i] / d;
}
return result;
}
public static RVector operator /(double d, RVector cv)
{
RVector result = new(cv.GetRVectorSize);
for (int i = 0; i < cv.GetRVectorSize; i++)
{
result[i] = d / cv[i];
}
return result;
}
// Makes a clone copy of a complex vector
public RVector Clone()
{
RVector cv = new(vector);
cv.vector = (double[])vector.Clone();
return cv;
}
object ICloneable.Clone()
{
return Clone();
}
// Methods
// Calculates the dot product of a complex vector
public static double DotProduct(RVector v1, RVector v2)
{
double result = 0.0;
for (int i = 0; i < v1.GetRVectorSize; i++)
{
result += v1[i] * v2[i];
}
return result;
}
// Calculates the norm of a complex vector
public double GetNorm()
{
double result = 0.0;
for (int i = 0; i < GetRVectorSize; i++)
{
result += vector[i] * vector[i];
}
return Math.Sqrt(result);
}
// Calculates the square of the norm of a complex vector
public double GetNormSquare()
{
double result = 0.0;
for (int i = 0; i < GetRVectorSize; i++)
{
result += vector[i] * vector[i];
}
return result;
}
// Normalizes a complex vector
public void Normalize()
{
double norm = GetNorm();
if (norm == 0)
{
throw new Exception("Normalized a vector with norm of zero!");
}
for (int i = 0; i < GetRVectorSize; i++)
{
vector[i] /= norm;
}
}
// Calculates the unit vector of a complex vector
public RVector GetUnitVector()
{
RVector result = new(vector);
result.Normalize();
return result;
}
// Swaps entries in a complex vector
public RVector SwapRVectorEntries(int m, int n)
{
double temp = vector[m];
vector[m] = vector[n];
vector[n] = temp;
return new RVector(vector);
}
// Calculates the cross product between two complex vectors
public static RVector CrossProduct(RVector v1, RVector v2)
{
if (v1.GetRVectorSize != 3)
{
throw new Exception("Vector v1 must be 3 dimensional!");
}
RVector result = new(3);
result[0] = v1[1] * v2[2] - v1[2] * v2[1];
result[1] = v1[2] * v2[0] - v1[0] * v2[2];
result[2] = v1[0] * v2[1] - v1[1] * v2[0];
return result;
}
public static RVector ConvertToRVector(RMatrix A)
{
int nrows = A.GetnRows;
int ncols = A.GetnCols;
if (nrows != 1 && ncols != 1) { throw new Exception("A must contain either 1 column or 1 row! "); }
RVector x;
if (nrows == 1)
{
x = new RVector(ncols);
for (int i = 0; i < ncols; i++) { x[i] = A[0, i]; }
}
else
{
x = new RVector(nrows);
for (int i = 0; i < nrows; i++) { x[i] = A[i, 0]; }
}
return x;
}
}
}