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https://github.com/bulletphysics/bullet3
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ae8e83988b
Add inverse dynamics / mass matrix code from DeepMimic, thanks to Xue Bin (Jason) Peng Add example how to use stable PD control for humanoid with spherical joints (see humanoidMotionCapture.py) Fix related to TinyRenderer object transforms not updating when using collision filtering
52 lines
1.6 KiB
C++
52 lines
1.6 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_SVD_MODULE_H
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#define EIGEN_SVD_MODULE_H
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#include "QR"
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#include "Householder"
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#include "Jacobi"
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#include "src/Core/util/DisableStupidWarnings.h"
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/** \defgroup SVD_Module SVD module
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*
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*
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*
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* This module provides SVD decomposition for matrices (both real and complex).
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* Two decomposition algorithms are provided:
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* - JacobiSVD implementing two-sided Jacobi iterations is numerically very accurate, fast for small matrices, but very slow for larger ones.
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* - BDCSVD implementing a recursive divide & conquer strategy on top of an upper-bidiagonalization which remains fast for large problems.
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* These decompositions are accessible via the respective classes and following MatrixBase methods:
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* - MatrixBase::jacobiSvd()
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* - MatrixBase::bdcSvd()
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*
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* \code
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* #include <Eigen/SVD>
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* \endcode
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*/
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#include "src/misc/RealSvd2x2.h"
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#include "src/SVD/UpperBidiagonalization.h"
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#include "src/SVD/SVDBase.h"
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#include "src/SVD/JacobiSVD.h"
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#include "src/SVD/BDCSVD.h"
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#if defined(EIGEN_USE_LAPACKE) && !defined(EIGEN_USE_LAPACKE_STRICT)
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#ifdef EIGEN_USE_MKL
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#include "mkl_lapacke.h"
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#else
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#include "src/misc/lapacke.h"
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#endif
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#include "src/SVD/JacobiSVD_LAPACKE.h"
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#endif
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#include "src/Core/util/ReenableStupidWarnings.h"
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#endif // EIGEN_SVD_MODULE_H
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/* vim: set filetype=cpp et sw=2 ts=2 ai: */
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