ROL
function/operator/test_01.cpp
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43 
62 #include "ROL_Stream.hpp"
63 #include "Teuchos_GlobalMPISession.hpp"
64 
65 typedef double RealT;
66 
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 
Provides the std::vector implementation to apply a linear operator, which is a std::vector representa...
Defines a no-output stream class ROL::NullStream and a function makeStreamPtr which either wraps a re...
Provides the ROL::Vector interface for scalar values, to be used, for example, with scalar constraint...
basic_nullstream< char, char_traits< char >> nullstream
Definition: ROL_Stream.hpp:72
int main(int argc, char *argv[])