Example #1
0
Array2D<math::Vec3f> ShallowWater::computeNormals(const Array2D<float> & src) const {

	math::Vec3f a, b, c, d;
	Array2D<math::Vec3f> upNorms;
	upNorms.init(src.getDimX()-1, src.getDimY()-1);
	Array2D<math::Vec3f> downNorms;
	downNorms.init(src.getDimX()-1, src.getDimY()-1);
	Array2D<math::Vec3f> temp;
	temp.init(src.getDimX(), src.getDimY());

	for(int i = 0; i < upNorms.getDimX(); i++) {
		for(int j = 0; j < upNorms.getDimY(); j++) {

			a = math::Vec3f(i*m_dx, src(i, j), j*m_dy);
			b = math::Vec3f((i+1)*m_dx, src(i+1, j), j*m_dy);
			c = math::Vec3f((i+1)*m_dx, src(i+1, j+1), (j+1)*m_dy);
			d = math::Vec3f(i*m_dx, src(i, j+1), (j+1)*m_dy);
			upNorms.setValue(i, j, d-a ^ b-a);
			downNorms.setValue(i, j, b-c ^ d-c);
		}
	}

	for(int i = 0; i < src.getDimX(); i++) {
		for(int j = 0; j < src.getDimY(); j++) {

			math::Vec3f tmp(0.0, 0.0, 0.0);
			int tmpNb = 0;
			if(i-1 >= 0 && j < src.getDimY()-1) {
				tmpNb += 2;
				tmp += upNorms(i-1, j) + downNorms(i-1, j);
			}
			if(j-1 >= 0 && i < src.getDimX()-1) {
				tmpNb += 2;
				tmp += upNorms(i, j-1) + downNorms(i, j-1);
			}
			if(j-1 >= 0 && i-1 >= 0) {
				tmpNb++;
				tmp += downNorms(i-1, j-1);
			}
			if(i < src.getDimX()-1 && j < src.getDimY()-1) {
				tmpNb++;
				tmp += upNorms(i, j);
			}

			temp.setValue(i, j, (tmp/tmpNb).normalize());
		}
	}
	return temp;
}
Example #2
0
void sub(const Array2D<E> &aobj,const Array2D<E> &bobj,Array2D<E> &cobj)
{
	int astarti=aobj.low1(),astartj=aobj.low2(),arow=aobj.size1(),acol=aobj.size2();	
	int bstarti=bobj.low1(),bstartj=bobj.low2(),brow=bobj.size1(),bcol=bobj.size2();
	//Array2D<E> c(0,arow-1,0,acol-1);	
	cobj.init(0,arow-1,0,acol-1);
	for(int i=0;i<arow;i++)
	{
		for(int j=0;j<acol;j++)
			cobj(i,j)=aobj(i+astarti,j+astartj)-bobj(i+bstarti,j+bstartj);
	}
}
Example #3
0
void submatrix(const Array2D<E> &obj,int a,int b,int c,int d,Array2D<E> &obj2)
{
	int row=c-a+1,col=d-b+1;
	//constructor used
	obj2.init(0,row-1,0,col-1);
	for(int i=0;i<row;i++)
	{
		for(int j=0;j<col;j++)
		{
			obj2(i,j)=obj(i+a,j+b);
		}
	}
}
Example #4
0
void ShallowWater::updateHeight() {

	Array2D<float> tempN;
	tempN.init(m_n.getDimX(), m_n.getDimY());
	tempN = m_n;

	for(int j = 1; j < m_n.getDimY()-1; j++) {
		for(int i = 1; i < m_n.getDimX()-1; i++) {
			tempN.addValue(i, j, - m_n(i, j) * m_dt * ( (m_vX(i+1, j) - m_vX(i, j))
				/ m_dx + (m_vY(i, j+1) - m_vY(i, j)) / m_dy ) );
		}
	}
	m_n = tempN;
}
Example #5
0
void mul(const Array2D<E> &a,const Array2D<E> &b,Array2D<E> &obj)
{
	int arow=a.size1();
	int acol=a.size2();
	int brow=b.size1();
	int bcol=b.size2();
	OGDF_ASSERT(arow==acol && acol==brow && brow==bcol);  	//checking matrix is square and equal or not
	int ai=a.low1(),aj=a.low2(),bi=b.low1(),bj=b.low2();
	obj.init(0,arow-1,0,arow-1,0);
	for(int i=0;i<arow;i++)
		for(int j=0;j<acol;j++)
			for(int k=0;k<brow;k++)
				obj(i,j)+=a(i+ai,k+aj)*b(k+bi,j+bj);
}
Example #6
0
Array2D<float> ShallowWater::advect(const Array2D<float> & src) {

	Array2D<float> temp;
	temp.init(src.getDimX(), src.getDimY());

	float x, y;
	temp = src;

	for(int j = 1; j < src.getDimY()-1; j++) {
		for(int i = 1; i < src.getDimX()-1; i++) {
			x = i - m_dt * m_vX(i, j);
			y = j - m_dt * m_vY(i, j);
			temp.setValue(i, j, src.interpolate(x, y));
		}
	}
	return temp;
}
Example #7
0
void input(Array2D<E> &a)
{
	//cout<<endl;
	int row,col;
	//cout<<"Row	:	";
	cin>>row;
	//cout<<endl<<"Col	:	";
	cin>>col;
	//using inbuilt paramaterised constructor
	a.init(0,row-1,0,col-1);
	for(int i=0;i<row;i++)
	{
		for(int j=0;j<col;j++)
		{
			cin>>a(i,j);
		}
	}
}
Example #8
0
void strassen(const Array2D<E> &a,const Array2D<E> &b,Array2D<E> &c)
{
	int astarti=a.low1(),astartj=a.low2(),arow=a.size1(),acol=a.size2();	
	int bstarti=b.low1(),bstartj=b.low2(),brow=b.size1(),bcol=b.size2();
	OGDF_ASSERT(arow==acol && acol==brow && brow==bcol);	 //checking matrix is square and equal or not
	if(arow<=2)
	{
		mul(a,b,c);	// naive method for calculating matrix multiplication of size less than or equal to 4
	}
	else
	{
		int val1=arow/2-1;
		int val2=arow-1;
		Array2D<E> a11,a12,a21,a22,b11,b12,b21,b22;
		submatrix(a,astarti,astartj,astarti+val1,astartj+val1,a11);
		submatrix(a,astarti,astartj+val1+1,astarti+val1,astartj+val2,a12);
		submatrix(a,astarti+val1+1,astartj,astarti+val2,astartj+val1,a21);
		submatrix(a,astarti+val1+1,astartj+val1+1,astarti+val2,astartj+val2,a22);
		submatrix(b,bstarti,bstartj,bstarti+val1,bstartj+val1,b11);
		submatrix(b,bstarti,bstartj+val1+1,bstarti+val1,bstartj+val2,b12);
		submatrix(b,bstarti+val1+1,bstartj,bstarti+val2,bstartj+val1,b21);
		submatrix(b,bstarti+val1+1,bstartj+val1+1,bstarti+val2,bstartj+val2,b22);
		//calulating p(i) for applying strassen method
		Array2D<E> obj1,obj2;
		add(a11,a22,obj1);
		add(b11,b22,obj2);
		Array2D<E> p1,p2,p3,p4,p5,p6,p7;
		strassen(obj1,obj2,p1);
		add(a21,a22,obj1);
		strassen(obj1,b11,p2);
		sub(b12,b22,obj2);
		strassen(a11,obj2,p3);
		sub(b21,b11,obj2);
		strassen(a22,obj2,p4);
		add(a11,a12,obj1);
		strassen(obj1,b22,p5);
		sub(a21,a11,obj1);
		add(b11,b12,obj2);
		strassen(obj1,obj2,p6);
		sub(a12,a22,obj1);
		add(b21,b22,obj2);
		strassen(obj1,obj2,p7);
		//calculating submatrix of final result matrix
		Array2D<E> c11,c22,c21,c12,cnn;
		add(p1,p4,c11);
		sub(c11,p5,cnn);
		add(cnn,p7,c11);
		add(p3,p5,c12);
		add(p2,p4,c21);
		add(p1,p3,c22);
		add(c22,p6,cnn);
		sub(cnn,p2,c22);
		c.init(0,val2,0,val2);
		//function call for info of submatrices 
		int c11i=c11.low1(),c11j=c11.low2();
		int c12i=c12.low1(),c12j=c12.low2();
		int c21i=c21.low1(),c21j=c21.low2();
		int c22i=c22.low1(),c22j=c22.low2();
		//Method for grouping of submatrix into 1
		for(int i=0;i<=val1;i++)
		{
			for(int j=0;j<=val1;j++)
			{
				c(i,j)=c11(c11i+i,c11j+j);
				c(i,j+val1+1)=c12(c12i+i,c12j+j);
				c(i+val1+1,j)=c21(c21i+i,c21j+j);
				c(i+val1+1,j+val1+1)=c22(c22i+i,c22j+j);
			}
		}
		
	}
}