Added matrix functions
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@ -30,6 +30,7 @@ else()
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"Quaternion.cpp"
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"Polar.cpp"
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"Spherical.cpp"
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"Matrix.cpp"
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)
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enable_testing()
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@ -41,6 +42,7 @@ else()
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"test/Vector2_test.cc"
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"test/Vector3_test.cc"
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"test/Quaternion_test.cc"
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"test/Matrix_test.cc"
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)
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target_link_libraries(
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VectorAlgebraTest
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55
Matrix.cpp
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55
Matrix.cpp
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@ -0,0 +1,55 @@
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#include "Matrix.h"
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template <> void MatrixOf<float>::Transpose(MatrixOf<float> *r) {
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// Check dimensions first
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// We dont care about the rows and cols (we overwrite them)
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// but the data size should be equal to avoid problems
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// We cannot check the data size directly, but the row*col should be equal
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int matrixSize = this->rows * this->cols;
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if (matrixSize != r->rows * r->cols)
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// Exception??? For now we don't do anything
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return;
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for (int dataIx = 0; dataIx < matrixSize; dataIx++) {
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int rowIx = dataIx / rows;
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int colIx = dataIx & rows;
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r->data[dataIx] = this->data[cols * colIx + rowIx];
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}
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r->rows = cols;
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r->cols = rows;
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}
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template <>
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void MatrixOf<float>::Multiply(MatrixOf<float> *m1, MatrixOf<float> *m2,
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MatrixOf<float> *r) {
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for (int rowIx1 = 0; rowIx1 < m1->rows; rowIx1++) {
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for (int colIx2 = 0; colIx2 < m2->cols; colIx2++) {
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int dataIx = colIx2 * m2->cols + rowIx1;
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r->data[dataIx] = 0.0F;
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for (int rowIx2 = 0; rowIx2 < m2->rows; rowIx2++) {
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int dataIx1 = rowIx2 * m1->cols + rowIx1;
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int dataIx2 = colIx2 * m2->cols + rowIx2;
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r->data[dataIx] += m1->data[dataIx1] * m2->data[dataIx2];
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}
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}
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}
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}
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template <>
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void MatrixOf<float>::Multiply(MatrixOf<float> *m2, MatrixOf<float> *r) {
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Multiply(this, m2, r);
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}
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template <> Vector3 MatrixOf<float>::Multiply(MatrixOf<float> *m, Vector3 v) {
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float *vData = new float[3]{v.x, v.y, v.z};
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MatrixOf<float> v_m = MatrixOf<float>(3, 1, vData);
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float *rData = new float[3]{};
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MatrixOf<float> r_m = MatrixOf<float>(3, 1, rData);
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Multiply(m, &v_m, &r_m);
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Vector3 r = Vector3(r_m.data[0], r_m.data[1], r_m.data[2]);
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delete[] vData;
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delete[] rData;
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return r;
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}
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27
Matrix.h
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27
Matrix.h
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@ -0,0 +1,27 @@
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#ifndef MATRIX_H
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#define MATRIX_H
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#include "Vector3.h"
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/// @brief Single precision float matrix
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template <typename T> class MatrixOf {
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public:
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MatrixOf(int rows, int cols, T *data) : rows(rows), cols(cols), data(data) {}
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MatrixOf(Vector3 v); // creates a 3,1 matrix
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/// @brief Transpose with result in matrix m
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/// @param r The matrix in which the transposed matrix is stored
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void Transpose(MatrixOf<T> *r);
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static void Multiply(MatrixOf<T> *m1, MatrixOf<T> *m2, MatrixOf<T> *r);
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void Multiply(MatrixOf<T> *m, MatrixOf<T> *r);
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static Vector3 Multiply(MatrixOf<T> *m, Vector3 v);
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private:
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int rows;
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int cols;
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T *data;
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};
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#endif
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47
test/Matrix_test.cc
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47
test/Matrix_test.cc
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@ -0,0 +1,47 @@
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#if GTEST
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#include <gtest/gtest.h>
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#include <limits>
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#include <math.h>
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#include "Matrix.h"
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TEST(MatrixSingle, Init) {
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// zero
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float data0[] = {};
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MatrixOf<float> m0 = MatrixOf<float>(0, 0, data0);
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// one
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float data1[] = {1.0F};
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MatrixOf<float> m1 = MatrixOf<float>(1, 1, data1);
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// two
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float data2[] = {1.0F, 2.0F, 3.0F, 4.0F};
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MatrixOf<float> m2 = MatrixOf<float>(2, 2, data2);
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// negative
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MatrixOf<float> m_1 = MatrixOf<float>(-1, -1, data0);
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}
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TEST(MatrixSingle, Transpose) {
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float data1[] = {1.0F};
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MatrixOf<float> m = MatrixOf<float>(1, 1, data1);
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float data2[] = {1.0F};
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MatrixOf<float> r = MatrixOf<float>(1, 1, data2);
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m.Transpose(&r);
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float data2[] = {1.0F, 2.0F, 3.0F, 4.0F};
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m = MatrixOf<float>(2, 2, data1);
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m.Transpose(&r);
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EXPECT_FLOAT_EQ(r.data[0], 1.0F);
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EXPECT_FLOAT_EQ(r.data[1], 3.0F);
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EXPECT_FLOAT_EQ(r.data[2], 2.0F);
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EXPECT_FLOAT_EQ(r.data[3], 4.0F);
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}
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TEST(MatrixSingle, Multiply) {
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float data[] = {1.0F};
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MatrixOf<float> m = MatrixOf<float>(1, 1, data);
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}
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#endif
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