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/*
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Copyright © 2010, 2011, 2012 Vladimír Vondruš <mosra@centrum.cz>
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This file is part of Magnum.
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Magnum is free software: you can redistribute it and/or modify
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it under the terms of the GNU Lesser General Public License version 3
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only, as published by the Free Software Foundation.
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Magnum is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU Lesser General Public License version 3 for more details.
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*/
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#include <TestSuite/Tester.h>
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#include "Math/Algorithms/GaussJordan.h"
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namespace Magnum { namespace Math { namespace Algorithms { namespace Test {
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class GaussJordanTest: public Corrade::TestSuite::Tester {
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public:
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explicit GaussJordanTest();
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void singular();
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void invert();
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};
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typedef RectangularMatrix<4, 4, Float> Matrix4;
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typedef Vector<4, Float> Vector4;
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GaussJordanTest::GaussJordanTest() {
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addTests(&GaussJordanTest::singular,
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&GaussJordanTest::invert);
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}
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void GaussJordanTest::singular() {
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Math: matrix/vector rework, part 2: matrix as array of column vectors.
Overall architecture is simplififed with this change and also it's not
needed to use reinterpret_cast in matrix internals anymore, thus there
is no need for operator() and [][] works now always as expected without
any risk of GCC misoptimizations.
On the other side, constructing matrix from list of elements is not
possible anymore. You have to specify the elements as list of
column vectors, which might be less convenient to write, but it helps to
distinguish what is column and what is row:
Matrix<2, int> a(1, 2, // before
3, 4);
Matrix<2, int> a(Vector<2, int>(1, 2), // now
Vector<2, int>(3, 4));
For some matrix specializations (i.e. Matrix3 and Matrix4) it is
possible to use list-initialization instead of explicit type
specification:
Matrix<3, int>({1, 2, 3},
{4, 5, 6},
{7, 8, 9});
I didn't yet figure out how to properly implement the general
(constexpr) constructor to also take lists, so it's a bit ugly for now.
Matrix operations are now done column-wise, which should help with
future SIMD implementations, documentation is also updated accordingly.
I also removed forgotten remains of matrix/matrix operator*=(), which
can be confusing, as the multiplication is not commutative. Why it is
not present is explained in d9c900f076f2f87c7b7ba3f37a3179c0c0e4a02c.
13 years ago
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Matrix4 a(Vector4(1.0f, 2.0f, 3.0f, 4.0f),
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Vector4(2.0f, 3.0f, -7.0f, 11.0f),
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Vector4(2.0f, 4.0f, 6.0f, 8.0f),
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Vector4(1.0f, 2.0f, 7.0f, 40.0f));
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RectangularMatrix<4, 1, Float> t;
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CORRADE_VERIFY(!gaussJordanInPlaceTransposed(a, t));
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}
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void GaussJordanTest::invert() {
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Math: matrix/vector rework, part 2: matrix as array of column vectors.
Overall architecture is simplififed with this change and also it's not
needed to use reinterpret_cast in matrix internals anymore, thus there
is no need for operator() and [][] works now always as expected without
any risk of GCC misoptimizations.
On the other side, constructing matrix from list of elements is not
possible anymore. You have to specify the elements as list of
column vectors, which might be less convenient to write, but it helps to
distinguish what is column and what is row:
Matrix<2, int> a(1, 2, // before
3, 4);
Matrix<2, int> a(Vector<2, int>(1, 2), // now
Vector<2, int>(3, 4));
For some matrix specializations (i.e. Matrix3 and Matrix4) it is
possible to use list-initialization instead of explicit type
specification:
Matrix<3, int>({1, 2, 3},
{4, 5, 6},
{7, 8, 9});
I didn't yet figure out how to properly implement the general
(constexpr) constructor to also take lists, so it's a bit ugly for now.
Matrix operations are now done column-wise, which should help with
future SIMD implementations, documentation is also updated accordingly.
I also removed forgotten remains of matrix/matrix operator*=(), which
can be confusing, as the multiplication is not commutative. Why it is
not present is explained in d9c900f076f2f87c7b7ba3f37a3179c0c0e4a02c.
13 years ago
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Matrix4 a(Vector4(3.0f, 5.0f, 8.0f, 4.0f),
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Vector4(4.0f, 4.0f, 7.0f, 3.0f),
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Vector4(7.0f, -1.0f, 8.0f, 0.0f),
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Vector4(9.0f, 4.0f, 5.0f, 9.0f));
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Matrix4 expectedInverse(Vector4(-60/103.0f, 71/103.0f, -4/103.0f, 3/103.0f),
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Vector4(-66/103.0f, 109/103.0f, -25/103.0f, -7/103.0f),
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Vector4(177/412.0f, -97/206.0f, 53/412.0f, -7/206.0f),
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Vector4(259/412.0f, -185/206.0f, 31/412.0f, 27/206.0f));
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Matrix4 a2(a);
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Matrix4 inverse = Matrix4::fromDiagonal(Vector4(1.0f));
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CORRADE_VERIFY(gaussJordanInPlace(a2, inverse));
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CORRADE_COMPARE(inverse, expectedInverse);
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CORRADE_COMPARE(a*inverse, Matrix4::fromDiagonal(Vector4(1.0f)));
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}
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}}}}
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CORRADE_TEST_MAIN(Magnum::Math::Algorithms::Test::GaussJordanTest)
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