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-/****************************************************************************
-**
-** Copyright (C) 2009 Nokia Corporation and/or its subsidiary(-ies).
-** Contact: Nokia Corporation (qt-info@nokia.com)
-**
-** This file is part of the demonstration applications of the Qt Toolkit.
-**
-** $QT_BEGIN_LICENSE:LGPL$
-** No Commercial Usage
-** This file contains pre-release code and may not be distributed.
-** You may use this file in accordance with the terms and conditions
-** contained in the Technology Preview License Agreement accompanying
-** this package.
-**
-** GNU Lesser General Public License Usage
-** Alternatively, this file may be used under the terms of the GNU Lesser
-** General Public License version 2.1 as published by the Free Software
-** Foundation and appearing in the file LICENSE.LGPL included in the
-** packaging of this file. Please review the following information to
-** ensure the GNU Lesser General Public License version 2.1 requirements
-** will be met: http://www.gnu.org/licenses/old-licenses/lgpl-2.1.html.
-**
-** In addition, as a special exception, Nokia gives you certain
-** additional rights. These rights are described in the Nokia Qt LGPL
-** Exception version 1.1, included in the file LGPL_EXCEPTION.txt in this
-** package.
-**
-** If you have questions regarding the use of this file, please contact
-** Nokia at qt-info@nokia.com.
-**
-**
-**
-**
-**
-**
-**
-**
-** $QT_END_LICENSE$
-**
-****************************************************************************/
-
-#ifndef VECTOR_H
-#define VECTOR_H
-
-#include <cassert>
-#include <cmath>
-#include <iostream>
-
-namespace gfx
-{
-
-template<class T, int n>
-struct Vector
-{
- // Keep the Vector struct a plain old data (POD) struct by avoiding constructors
-
- static Vector vector(T x)
- {
- Vector result;
- for (int i = 0; i < n; ++i)
- result.v[i] = x;
- return result;
- }
-
- // Use only for 2D vectors
- static Vector vector(T x, T y)
- {
- assert(n == 2);
- Vector result;
- result.v[0] = x;
- result.v[1] = y;
- return result;
- }
-
- // Use only for 3D vectors
- static Vector vector(T x, T y, T z)
- {
- assert(n == 3);
- Vector result;
- result.v[0] = x;
- result.v[1] = y;
- result.v[2] = z;
- return result;
- }
-
- // Use only for 4D vectors
- static Vector vector(T x, T y, T z, T w)
- {
- assert(n == 4);
- Vector result;
- result.v[0] = x;
- result.v[1] = y;
- result.v[2] = z;
- result.v[3] = w;
- return result;
- }
-
- // Pass 'n' arguments to this function.
- static Vector vector(T *v)
- {
- Vector result;
- for (int i = 0; i < n; ++i)
- result.v[i] = v[i];
- return result;
- }
-
- T &operator [] (int i) {return v[i];}
- T operator [] (int i) const {return v[i];}
-
-#define VECTOR_BINARY_OP(op, arg, rhs) \
- Vector operator op (arg) const \
- { \
- Vector result; \
- for (int i = 0; i < n; ++i) \
- result.v[i] = v[i] op rhs; \
- return result; \
- }
-
- VECTOR_BINARY_OP(+, const Vector &u, u.v[i])
- VECTOR_BINARY_OP(-, const Vector &u, u.v[i])
- VECTOR_BINARY_OP(*, const Vector &u, u.v[i])
- VECTOR_BINARY_OP(/, const Vector &u, u.v[i])
- VECTOR_BINARY_OP(+, T s, s)
- VECTOR_BINARY_OP(-, T s, s)
- VECTOR_BINARY_OP(*, T s, s)
- VECTOR_BINARY_OP(/, T s, s)
-#undef VECTOR_BINARY_OP
-
- Vector operator - () const
- {
- Vector result;
- for (int i = 0; i < n; ++i)
- result.v[i] = -v[i];
- return result;
- }
-
-#define VECTOR_ASSIGN_OP(op, arg, rhs) \
- Vector &operator op (arg) \
- { \
- for (int i = 0; i < n; ++i) \
- v[i] op rhs; \
- return *this; \
- }
-
- VECTOR_ASSIGN_OP(+=, const Vector &u, u.v[i])
- VECTOR_ASSIGN_OP(-=, const Vector &u, u.v[i])
- VECTOR_ASSIGN_OP(=, T s, s)
- VECTOR_ASSIGN_OP(*=, T s, s)
- VECTOR_ASSIGN_OP(/=, T s, s)
-#undef VECTOR_ASSIGN_OP
-
- static T dot(const Vector &u, const Vector &v)
- {
- T sum(0);
- for (int i = 0; i < n; ++i)
- sum += u.v[i] * v.v[i];
- return sum;
- }
-
- static Vector cross(const Vector &u, const Vector &v)
- {
- assert(n == 3);
- return vector(u.v[1] * v.v[2] - u.v[2] * v.v[1],
- u.v[2] * v.v[0] - u.v[0] * v.v[2],
- u.v[0] * v.v[1] - u.v[1] * v.v[0]);
- }
-
- T sqrNorm() const
- {
- return dot(*this, *this);
- }
-
- // requires floating point type T
- void normalize()
- {
- T s = sqrNorm();
- if (s != 0)
- *this /= sqrt(s);
- }
-
- // requires floating point type T
- Vector normalized() const
- {
- T s = sqrNorm();
- if (s == 0)
- return *this;
- return *this / sqrt(s);
- }
-
- T *bits() {return v;}
- const T *bits() const {return v;}
-
- T v[n];
-};
-
-#define SCALAR_VECTOR_BINARY_OP(op) \
-template<class T, int n> \
-Vector<T, n> operator op (T s, const Vector<T, n>& u) \
-{ \
- Vector<T, n> result; \
- for (int i = 0; i < n; ++i) \
- result[i] = s op u[i]; \
- return result; \
-}
-
-SCALAR_VECTOR_BINARY_OP(+)
-SCALAR_VECTOR_BINARY_OP(-)
-SCALAR_VECTOR_BINARY_OP(*)
-SCALAR_VECTOR_BINARY_OP(/)
-#undef SCALAR_VECTOR_BINARY_OP
-
-template<class T, int n>
-std::ostream &operator << (std::ostream &os, const Vector<T, n> &v)
-{
- assert(n > 0);
- os << "[" << v[0];
- for (int i = 1; i < n; ++i)
- os << ", " << v[i];
- os << "]";
- return os;
-}
-
-typedef Vector<float, 2> Vector2f;
-typedef Vector<float, 3> Vector3f;
-typedef Vector<float, 4> Vector4f;
-
-template<class T, int rows, int cols>
-struct Matrix
-{
- // Keep the Matrix struct a plain old data (POD) struct by avoiding constructors
-
- static Matrix matrix(T x)
- {
- Matrix result;
- for (int i = 0; i < rows; ++i) {
- for (int j = 0; j < cols; ++j)
- result.v[i][j] = x;
- }
- return result;
- }
-
- static Matrix matrix(T *m)
- {
- Matrix result;
- for (int i = 0; i < rows; ++i) {
- for (int j = 0; j < cols; ++j) {
- result.v[i][j] = *m;
- ++m;
- }
- }
- return result;
- }
-
- T &operator () (int i, int j) {return v[i][j];}
- T operator () (int i, int j) const {return v[i][j];}
- Vector<T, cols> &operator [] (int i) {return v[i];}
- const Vector<T, cols> &operator [] (int i) const {return v[i];}
-
- // TODO: operators, methods
-
- Vector<T, rows> operator * (const Vector<T, cols> &u) const
- {
- Vector<T, rows> result;
- for (int i = 0; i < rows; ++i)
- result[i] = Vector<T, cols>::dot(v[i], u);
- return result;
- }
-
- template<int k>
- Matrix<T, rows, k> operator * (const Matrix<T, cols, k> &m)
- {
- Matrix<T, rows, k> result;
- for (int i = 0; i < rows; ++i)
- result[i] = v[i] * m;
- return result;
- }
-
- T* bits() {return reinterpret_cast<T *>(this);}
- const T* bits() const {return reinterpret_cast<const T *>(this);}
-
- // Simple Gauss elimination.
- // TODO: Optimize and improve stability.
- Matrix inverse(bool *ok = 0) const
- {
- assert(rows == cols);
- Matrix rhs = identity();
- Matrix lhs(*this);
- T temp;
- // Down
- for (int i = 0; i < rows; ++i) {
- // Pivoting
- int pivot = i;
- for (int j = i; j < rows; ++j) {
- if (qAbs(lhs(j, i)) > lhs(pivot, i))
- pivot = j;
- }
- // TODO: fuzzy compare.
- if (lhs(pivot, i) == T(0)) {
- if (ok)
- *ok = false;
- return rhs;
- }
- if (pivot != i) {
- for (int j = i; j < cols; ++j) {
- temp = lhs(pivot, j);
- lhs(pivot, j) = lhs(i, j);
- lhs(i, j) = temp;
- }
- for (int j = 0; j < cols; ++j) {
- temp = rhs(pivot, j);
- rhs(pivot, j) = rhs(i, j);
- rhs(i, j) = temp;
- }
- }
-
- // Normalize i-th row
- rhs[i] /= lhs(i, i);
- for (int j = cols - 1; j > i; --j)
- lhs(i, j) /= lhs(i, i);
-
- // Eliminate non-zeros in i-th column below the i-th row.
- for (int j = i + 1; j < rows; ++j) {
- rhs[j] -= lhs(j, i) * rhs[i];
- for (int k = i + 1; k < cols; ++k)
- lhs(j, k) -= lhs(j, i) * lhs(i, k);
- }
- }
- // Up
- for (int i = rows - 1; i > 0; --i) {
- for (int j = i - 1; j >= 0; --j)
- rhs[j] -= lhs(j, i) * rhs[i];
- }
- if (ok)
- *ok = true;
- return rhs;
- }
-
- Matrix<T, cols, rows> transpose() const
- {
- Matrix<T, cols, rows> result;
- for (int i = 0; i < rows; ++i) {
- for (int j = 0; j < cols; ++j)
- result.v[j][i] = v[i][j];
- }
- return result;
- }
-
- static Matrix identity()
- {
- Matrix result = matrix(T(0));
- for (int i = 0; i < rows && i < cols; ++i)
- result.v[i][i] = T(1);
- return result;
- }
-
- Vector<T, cols> v[rows];
-};
-
-template<class T, int rows, int cols>
-Vector<T, cols> operator * (const Vector<T, rows> &u, const Matrix<T, rows, cols> &m)
-{
- Vector<T, cols> result = Vector<T, cols>::vector(T(0));
- for (int i = 0; i < rows; ++i)
- result += m[i] * u[i];
- return result;
-}
-
-template<class T, int rows, int cols>
-std::ostream &operator << (std::ostream &os, const Matrix<T, rows, cols> &m)
-{
- assert(rows > 0);
- os << "[" << m[0];
- for (int i = 1; i < rows; ++i)
- os << ", " << m[i];
- os << "]";
- return os;
-}
-
-
-typedef Matrix<float, 2, 2> Matrix2x2f;
-typedef Matrix<float, 3, 3> Matrix3x3f;
-typedef Matrix<float, 4, 4> Matrix4x4f;
-
-template<class T>
-struct Quaternion
-{
- // Keep the Quaternion struct a plain old data (POD) struct by avoiding constructors
-
- static Quaternion quaternion(T s, T x, T y, T z)
- {
- Quaternion result;
- result.scalar = s;
- result.vector[0] = x;
- result.vector[1] = y;
- result.vector[2] = z;
- return result;
- }
-
- static Quaternion quaternion(T s, const Vector<T, 3> &v)
- {
- Quaternion result;
- result.scalar = s;
- result.vector = v;
- return result;
- }
-
- static Quaternion identity()
- {
- return quaternion(T(1), T(0), T(0), T(0));
- }
-
- // assumes that all the elements are packed tightly
- T& operator [] (int i) {return reinterpret_cast<T *>(this)[i];}
- T operator [] (int i) const {return reinterpret_cast<const T *>(this)[i];}
-
-#define QUATERNION_BINARY_OP(op, arg, rhs) \
- Quaternion operator op (arg) const \
- { \
- Quaternion result; \
- for (int i = 0; i < 4; ++i) \
- result[i] = (*this)[i] op rhs; \
- return result; \
- }
-
- QUATERNION_BINARY_OP(+, const Quaternion &q, q[i])
- QUATERNION_BINARY_OP(-, const Quaternion &q, q[i])
- QUATERNION_BINARY_OP(*, T s, s)
- QUATERNION_BINARY_OP(/, T s, s)
-#undef QUATERNION_BINARY_OP
-
- Quaternion operator - () const
- {
- return Quaternion(-scalar, -vector);
- }
-
- Quaternion operator * (const Quaternion &q) const
- {
- Quaternion result;
- result.scalar = scalar * q.scalar - Vector<T, 3>::dot(vector, q.vector);
- result.vector = scalar * q.vector + vector * q.scalar + Vector<T, 3>::cross(vector, q.vector);
- return result;
- }
-
- Quaternion operator * (const Vector<T, 3> &v) const
- {
- Quaternion result;
- result.scalar = -Vector<T, 3>::dot(vector, v);
- result.vector = scalar * v + Vector<T, 3>::cross(vector, v);
- return result;
- }
-
- friend Quaternion operator * (const Vector<T, 3> &v, const Quaternion &q)
- {
- Quaternion result;
- result.scalar = -Vector<T, 3>::dot(v, q.vector);
- result.vector = v * q.scalar + Vector<T, 3>::cross(v, q.vector);
- return result;
- }
-
-#define QUATERNION_ASSIGN_OP(op, arg, rhs) \
- Quaternion &operator op (arg) \
- { \
- for (int i = 0; i < 4; ++i) \
- (*this)[i] op rhs; \
- return *this; \
- }
-
- QUATERNION_ASSIGN_OP(+=, const Quaternion &q, q[i])
- QUATERNION_ASSIGN_OP(-=, const Quaternion &q, q[i])
- QUATERNION_ASSIGN_OP(=, T s, s)
- QUATERNION_ASSIGN_OP(*=, T s, s)
- QUATERNION_ASSIGN_OP(/=, T s, s)
-#undef QUATERNION_ASSIGN_OP
-
- Quaternion& operator *= (const Quaternion &q)
- {
- Quaternion result;
- result.scalar = scalar * q.scalar - Vector<T, 3>::dot(vector, q.vector);
- result.vector = scalar * q.vector + vector * q.scalar + Vector<T, 3>::cross(vector, q.vector);
- return (*this = result);
- }
-
- Quaternion& operator *= (const Vector<T, 3> &v)
- {
- Quaternion result;
- result.scalar = -Vector<T, 3>::dot(vector, v);
- result.vector = scalar * v + Vector<T, 3>::cross(vector, v);
- return (*this = result);
- }
-
- Quaternion conjugate() const
- {
- return quaternion(scalar, -vector);
- }
-
- T sqrNorm() const
- {
- return scalar * scalar + vector.sqrNorm();
- }
-
- Quaternion inverse() const
- {
- return conjugate() / sqrNorm();
- }
-
- // requires floating point type T
- Quaternion normalized() const
- {
- T s = sqrNorm();
- if (s == 0)
- return *this;
- return *this / sqrt(s);
- }
-
- void matrix(Matrix<T, 3, 3>& m) const
- {
- T bb = vector[0] * vector[0];
- T cc = vector[1] * vector[1];
- T dd = vector[2] * vector[2];
- T diag = scalar * scalar - bb - cc - dd;
- T ab = scalar * vector[0];
- T ac = scalar * vector[1];
- T ad = scalar * vector[2];
- T bc = vector[0] * vector[1];
- T cd = vector[1] * vector[2];
- T bd = vector[2] * vector[0];
- m(0, 0) = diag + 2 * bb;
- m(0, 1) = 2 * (bc - ad);
- m(0, 2) = 2 * (ac + bd);
- m(1, 0) = 2 * (ad + bc);
- m(1, 1) = diag + 2 * cc;
- m(1, 2) = 2 * (cd - ab);
- m(2, 0) = 2 * (bd - ac);
- m(2, 1) = 2 * (ab + cd);
- m(2, 2) = diag + 2 * dd;
- }
-
- void matrix(Matrix<T, 4, 4>& m) const
- {
- T bb = vector[0] * vector[0];
- T cc = vector[1] * vector[1];
- T dd = vector[2] * vector[2];
- T diag = scalar * scalar - bb - cc - dd;
- T ab = scalar * vector[0];
- T ac = scalar * vector[1];
- T ad = scalar * vector[2];
- T bc = vector[0] * vector[1];
- T cd = vector[1] * vector[2];
- T bd = vector[2] * vector[0];
- m(0, 0) = diag + 2 * bb;
- m(0, 1) = 2 * (bc - ad);
- m(0, 2) = 2 * (ac + bd);
- m(0, 3) = 0;
- m(1, 0) = 2 * (ad + bc);
- m(1, 1) = diag + 2 * cc;
- m(1, 2) = 2 * (cd - ab);
- m(1, 3) = 0;
- m(2, 0) = 2 * (bd - ac);
- m(2, 1) = 2 * (ab + cd);
- m(2, 2) = diag + 2 * dd;
- m(2, 3) = 0;
- m(3, 0) = 0;
- m(3, 1) = 0;
- m(3, 2) = 0;
- m(3, 3) = 1;
- }
-
- // assumes that 'this' is normalized
- Vector<T, 3> transform(const Vector<T, 3> &v) const
- {
- Matrix<T, 3, 3> m;
- matrix(m);
- return v * m;
- }
-
- // assumes that all the elements are packed tightly
- T* bits() {return reinterpret_cast<T *>(this);}
- const T* bits() const {return reinterpret_cast<const T *>(this);}
-
- // requires floating point type T
- static Quaternion rotation(T angle, const Vector<T, 3> &unitAxis)
- {
- T s = sin(angle / 2);
- T c = cos(angle / 2);
- return quaternion(c, unitAxis * s);
- }
-
- T scalar;
- Vector<T, 3> vector;
-};
-
-template<class T>
-Quaternion<T> operator * (T s, const Quaternion<T>& q)
-{
- return Quaternion<T>::quaternion(s * q.scalar, s * q.vector);
-}
-
-typedef Quaternion<float> Quaternionf;
-
-} // end namespace gfx
-
-#endif