Commit 93923141 authored by Andrey Pavlenko's avatar Andrey Pavlenko Committed by OpenCV Buildbot

Merge pull request #1108 from nailbiter:optimLP

parents b31293c9 3013ad66
......@@ -6,3 +6,4 @@ OpenCV4Tegra/
.sw[a-z]
.*.swp
tags
build/
set(the_description "Generic optimization")
ocv_define_module(optim opencv_core)
Linear Programming
==================
.. highlight:: cpp
optim::solveLP
--------------------
Solve given (non-integer) linear programming problem using the Simplex Algorithm (Simplex Method).
What we mean here by "linear programming problem" (or LP problem, for short) can be
formulated as:
.. math::
\mbox{Maximize } c\cdot x\\
\mbox{Subject to:}\\
Ax\leq b\\
x\geq 0
Where :math:`c` is fixed *1*-by-*n* row-vector, :math:`A` is fixed *m*-by-*n* matrix, :math:`b` is fixed *m*-by-*1* column vector and
:math:`x` is an arbitrary *n*-by-*1* column vector, which satisfies the constraints.
Simplex algorithm is one of many algorithms that are designed to handle this sort of problems efficiently. Although it is not optimal in theoretical
sense (there exist algorithms that can solve any problem written as above in polynomial type, while simplex method degenerates to exponential time
for some special cases), it is well-studied, easy to implement and is shown to work well for real-life purposes.
The particular implementation is taken almost verbatim from **Introduction to Algorithms, third edition**
by T. H. Cormen, C. E. Leiserson, R. L. Rivest and Clifford Stein. In particular, the Bland's rule
(`http://en.wikipedia.org/wiki/Bland%27s\_rule <http://en.wikipedia.org/wiki/Bland%27s_rule>`_) is used to prevent cycling.
.. ocv:function:: int optim::solveLP(const Mat& Func, const Mat& Constr, Mat& z)
:param Func: This row-vector corresponds to :math:`c` in the LP problem formulation (see above). It should contain 32- or 64-bit floating point numbers. As a convenience, column-vector may be also submitted, in the latter case it is understood to correspond to :math:`c^T`.
:param Constr: *m*-by-*n\+1* matrix, whose rightmost column corresponds to :math:`b` in formulation above and the remaining to :math:`A`. It should containt 32- or 64-bit floating point numbers.
:param z: The solution will be returned here as a column-vector - it corresponds to :math:`c` in the formulation above. It will contain 64-bit floating point numbers.
:return: One of the return codes:
::
//!the return codes for solveLP() function
enum
{
SOLVELP_UNBOUNDED = -2, //problem is unbounded (target function can achieve arbitrary high values)
SOLVELP_UNFEASIBLE = -1, //problem is unfeasible (there are no points that satisfy all the constraints imposed)
SOLVELP_SINGLE = 0, //there is only one maximum for target function
SOLVELP_MULTI = 1 //there are multiple maxima for target function - the arbitrary one is returned
};
**************************************
optim. Generic numerical optimization
**************************************
.. highlight:: cpp
.. toctree::
:maxdepth: 2
linear_programming
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2008-2012, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef __OPENCV_OPTIM_HPP__
#define __OPENCV_OPTIM_HPP__
#include "opencv2/core.hpp"
namespace cv{namespace optim
{
//!the return codes for solveLP() function
enum
{
SOLVELP_UNBOUNDED = -2, //problem is unbounded (target function can achieve arbitrary high values)
SOLVELP_UNFEASIBLE = -1, //problem is unfeasible (there are no points that satisfy all the constraints imposed)
SOLVELP_SINGLE = 0, //there is only one maximum for target function
SOLVELP_MULTI = 1 //there are multiple maxima for target function - the arbitrary one is returned
};
CV_EXPORTS_W int solveLP(const Mat& Func, const Mat& Constr, Mat& z);
}}// cv
#endif
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifdef __OPENCV_BUILD
#error this is a compatibility header which should not be used inside the OpenCV library
#endif
#include "opencv2/optim.hpp"
This diff is collapsed.
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
/* End of file. */
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef __OPENCV_PRECOMP_H__
#define __OPENCV_PRECOMP_H__
#include "opencv2/optim.hpp"
#endif
#include "test_precomp.hpp"
#include <iostream>
TEST(Optim_LpSolver, regression_basic){
cv::Mat A,B,z,etalon_z;
#if 1
//cormen's example #1
A=(cv::Mat_<double>(3,1)<<3,1,2);
B=(cv::Mat_<double>(3,4)<<1,1,3,30,2,2,5,24,4,1,2,36);
std::cout<<"here A goes\n"<<A<<"\n";
cv::optim::solveLP(A,B,z);
std::cout<<"here z goes\n"<<z<<"\n";
etalon_z=(cv::Mat_<double>(3,1)<<8,4,0);
ASSERT_EQ(cv::countNonZero(z!=etalon_z),0);
#endif
#if 1
//cormen's example #2
A=(cv::Mat_<double>(1,2)<<18,12.5);
B=(cv::Mat_<double>(3,3)<<1,1,20,1,0,20,0,1,16);
std::cout<<"here A goes\n"<<A<<"\n";
cv::optim::solveLP(A,B,z);
std::cout<<"here z goes\n"<<z<<"\n";
etalon_z=(cv::Mat_<double>(2,1)<<20,0);
ASSERT_EQ(cv::countNonZero(z!=etalon_z),0);
#endif
#if 1
//cormen's example #3
A=(cv::Mat_<double>(1,2)<<5,-3);
B=(cv::Mat_<double>(2,3)<<1,-1,1,2,1,2);
std::cout<<"here A goes\n"<<A<<"\n";
cv::optim::solveLP(A,B,z);
std::cout<<"here z goes\n"<<z<<"\n";
etalon_z=(cv::Mat_<double>(2,1)<<1,0);
ASSERT_EQ(cv::countNonZero(z!=etalon_z),0);
#endif
}
TEST(Optim_LpSolver, regression_init_unfeasible){
cv::Mat A,B,z,etalon_z;
#if 1
//cormen's example #4 - unfeasible
A=(cv::Mat_<double>(1,3)<<-1,-1,-1);
B=(cv::Mat_<double>(2,4)<<-2,-7.5,-3,-10000,-20,-5,-10,-30000);
std::cout<<"here A goes\n"<<A<<"\n";
cv::optim::solveLP(A,B,z);
std::cout<<"here z goes\n"<<z<<"\n";
etalon_z=(cv::Mat_<double>(3,1)<<1250,1000,0);
ASSERT_EQ(cv::countNonZero(z!=etalon_z),0);
#endif
}
TEST(Optim_LpSolver, regression_absolutely_unfeasible){
cv::Mat A,B,z,etalon_z;
#if 1
//trivial absolutely unfeasible example
A=(cv::Mat_<double>(1,1)<<1);
B=(cv::Mat_<double>(2,2)<<1,-1);
std::cout<<"here A goes\n"<<A<<"\n";
int res=cv::optim::solveLP(A,B,z);
ASSERT_EQ(res,-1);
#endif
}
TEST(Optim_LpSolver, regression_multiple_solutions){
cv::Mat A,B,z,etalon_z;
#if 1
//trivial example with multiple solutions
A=(cv::Mat_<double>(2,1)<<1,1);
B=(cv::Mat_<double>(1,3)<<1,1,1);
std::cout<<"here A goes\n"<<A<<"\n";
int res=cv::optim::solveLP(A,B,z);
printf("res=%d\n",res);
printf("scalar %g\n",z.dot(A));
std::cout<<"here z goes\n"<<z<<"\n";
ASSERT_EQ(res,1);
ASSERT_EQ(z.dot(A),1);
#endif
}
TEST(Optim_LpSolver, regression_cycling){
cv::Mat A,B,z,etalon_z;
#if 1
//example with cycling from http://people.orie.cornell.edu/miketodd/or630/SimplexCyclingExample.pdf
A=(cv::Mat_<double>(4,1)<<10,-57,-9,-24);
B=(cv::Mat_<double>(3,5)<<0.5,-5.5,-2.5,9,0,0.5,-1.5,-0.5,1,0,1,0,0,0,1);
std::cout<<"here A goes\n"<<A<<"\n";
int res=cv::optim::solveLP(A,B,z);
printf("res=%d\n",res);
printf("scalar %g\n",z.dot(A));
std::cout<<"here z goes\n"<<z<<"\n";
ASSERT_EQ(z.dot(A),1);
//ASSERT_EQ(res,1);
#endif
}
#include "test_precomp.hpp"
CV_TEST_MAIN("cv")
#include "test_precomp.hpp"
#ifdef __GNUC__
# pragma GCC diagnostic ignored "-Wmissing-declarations"
# if defined __clang__ || defined __APPLE__
# pragma GCC diagnostic ignored "-Wmissing-prototypes"
# pragma GCC diagnostic ignored "-Wextra"
# endif
#endif
#ifndef __OPENCV_TEST_PRECOMP_HPP__
#define __OPENCV_TEST_PRECOMP_HPP__
#include "opencv2/ts.hpp"
#include "opencv2/optim.hpp"
#endif
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment