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43 
44 /*! \file  test_01.cpp
45     \brief Test of StdLinearOperator, its inverse and transpose
46 
47     \f$ A=\begin{pmatrix} 4 & 1 \\ 2 & 3 \end{pmatrix},\quad
48         A^{-1}=\frac{1}{10}\begin{pmatrix} 4 & -1 \\ -2 & 3 \end{pmatrix} \f$
49 
50     1) Compute \f$b\f$ in \f$Ax = b\f$, when \f$ x=\begin{pmatrix} 1 \\ -1 \end{pmatrix}\f$
51 
52     2) Solve for \f$x\f$ in the above when \f$b=\begin{pmatrix} 3 \\ -1 \end{pmatrix}\f$
53 
54     3) Compute \f$c\f$ in \f$A^\top y=c\f$ when \f$y=\begin{pmatrix} -2 \\ 1 \end{pmatrix}\f$
55 
56     4) Solve for \f$y\f$ in the above when \f$c=\begin{pmatrix} -6 \\ 1 \end{pmatrix}\f$
57 
58     Also ensure that the interface works with both ROL::Vector and std::vector arguments
59 */
60 
61 #include "ROL_StdLinearOperator.hpp"
62 #include "ROL_Stream.hpp"
63 #include "Teuchos_GlobalMPISession.hpp"
64 
65 typedef double RealT;
66 
main(int argc,char * argv[])67 int main(int argc, char *argv[]) {
68 
69 
70 
71   typedef std::vector<RealT>            vector;
72 
73   typedef ROL::StdVector<RealT>         SV;
74 
75   typedef ROL::StdLinearOperator<RealT> StdLinearOperator;
76 
77 
78   Teuchos::GlobalMPISession mpiSession(&argc, &argv);
79 
80   // This little trick lets us print to std::cout only if a (dummy) command-line argument is provided.
81   int iprint     = argc - 1;
82   ROL::Ptr<std::ostream> outStream;
83   ROL::nullstream bhs; // outputs nothing
84   if (iprint > 0)
85     outStream = ROL::makePtrFromRef(std::cout);
86   else
87     outStream = ROL::makePtrFromRef(bhs);
88 
89   // Save the format state of the original std::cout.
90   ROL::nullstream oldFormatState;
91   oldFormatState.copyfmt(std::cout);
92 
93   int errorFlag  = 0;
94 
95   // *** Test body.
96 
97   try {
98 
99     ROL::Ptr<vector> a_ptr  = ROL::makePtr<vector>(
100       std::initializer_list<RealT>{4.0,2.0,1.0,3.0});
101     ROL::Ptr<vector> ai_ptr = ROL::makePtr<vector>(
102       std::initializer_list<RealT>{3.0/10.0, -2.0/10.0, -1.0/10.0, 4.0/10.0});
103 
104     ROL::Ptr<vector> x1_ptr  = ROL::makePtr<vector>(
105       std::initializer_list<RealT>{1.0,-1.0});
106     ROL::Ptr<vector> b1_ptr = ROL::makePtr<vector>(2);
107 
108     ROL::Ptr<vector> x2_ptr = ROL::makePtr<vector>(2);
109     ROL::Ptr<vector> b2_ptr  = ROL::makePtr<vector>(
110       std::initializer_list<RealT>{3.0,-1.0});
111 
112     ROL::Ptr<vector> y3_ptr = ROL::makePtr<vector>(
113       std::initializer_list<RealT>{-2.0,1.0});
114     ROL::Ptr<vector> c3_ptr = ROL::makePtr<vector>(2);
115 
116     ROL::Ptr<vector> y4_ptr = ROL::makePtr<vector>(2);
117     ROL::Ptr<vector> c4_ptr = ROL::makePtr<vector>(
118       std::initializer_list<RealT>{-6.0,1.0});
119 
120     StdLinearOperator A(a_ptr);
121     StdLinearOperator Ai(ai_ptr);
122 
123     SV x1(x1_ptr); SV x2(x2_ptr); SV y3(y3_ptr); SV y4(y4_ptr);
124     SV b1(b1_ptr); SV b2(b2_ptr); SV c3(c3_ptr); SV c4(c4_ptr);
125 
126     RealT tol = ROL::ROL_EPSILON<RealT>();
127 
128     // Test 1
129     *outStream << "\nTest 1: Matrix multiplication" << std::endl;
130     A.apply(b1,x1,tol);
131     *outStream << "x = [" << (*x1_ptr)[0] << "," << (*x1_ptr)[1] << "]" << std::endl;
132     *outStream << "b = [" << (*b1_ptr)[0] << "," << (*b1_ptr)[1] << "]" << std::endl;
133     b1.axpy(-1.0,b2);
134 
135     RealT error1 = b1.norm();
136     errorFlag += error1 > tol;
137     *outStream << "Error = " << error1 << std::endl;
138 
139     // Test 2
140     *outStream << "\nTest 2: Linear solve" << std::endl;
141     A.applyInverse(*x2_ptr,*b2_ptr,tol);
142     *outStream << "x = [" << (*x2_ptr)[0] << "," << (*x2_ptr)[1] << "]" << std::endl;
143     *outStream << "b = [" << (*b2_ptr)[0] << "," << (*b2_ptr)[1] << "]" << std::endl;
144     x2.axpy(-1.0,x1);
145 
146     RealT error2 = x2.norm();
147     errorFlag += error2 > tol;
148     *outStream << "Error = " << error2 << std::endl;
149 
150     // Test 3
151     *outStream << "\nTest 3: Transposed matrix multiplication" << std::endl;
152     A.applyAdjoint(*c3_ptr,*y3_ptr,tol);
153     *outStream << "y = [" << (*y3_ptr)[0] << "," << (*y3_ptr)[1] << "]" << std::endl;
154     *outStream << "c = [" << (*c3_ptr)[0] << "," << (*c3_ptr)[1] << "]" << std::endl;
155     c3.axpy(-1.0,c4);
156 
157     RealT error3 = c3.norm();
158     errorFlag += error3 > tol;
159     *outStream << "Error = " << error3 << std::endl;
160 
161     // Test 4
162     *outStream << "\nTest 4: Linear solve with transpose" << std::endl;
163     A.applyAdjointInverse(y4,c4,tol);
164     *outStream << "y = [" << (*y4_ptr)[0] << "," << (*y4_ptr)[1] << "]" << std::endl;
165     *outStream << "c = [" << (*c4_ptr)[0] << "," << (*c4_ptr)[1] << "]" << std::endl;
166     y4.axpy(-1.0,y3);
167 
168     RealT error4 = y4.norm();
169     errorFlag += error4 > tol;
170     *outStream << "Error = " << error4 << std::endl;
171 
172     *outStream << "x1 = ";  x1.print(*outStream);
173     Ai.applyInverse(b1,x1,tol);
174     *outStream << "b1 = ";  b1.print(*outStream);
175     A.apply(b1,x1,tol);
176     *outStream << "b1 = ";  b1.print(*outStream);
177     A.applyInverse(x1,b1,tol);
178     *outStream << "x1 = ";  x1.print(*outStream);
179     Ai.apply(x1,b1,tol);
180     *outStream << "x1 = ";  x1.print(*outStream);
181 
182 
183   }
184   catch (std::logic_error& err) {
185     *outStream << err.what() << "\n";
186     errorFlag = -1000;
187   }; // end try
188 
189   if (errorFlag != 0)
190     std::cout << "End Result: TEST FAILED\n";
191   else
192     std::cout << "End Result: TEST PASSED\n";
193 
194   // reset format state of std::cout
195   std::cout.copyfmt(oldFormatState);
196 
197   return 0;
198 
199 }
200 
201