| 1 | #include "OOPSEMinimizer.hpp" | 
| 2 | #include "Utility.hpp" | 
| 3 | void PRCGMinimizer::init(){ | 
| 4 |  | 
| 5 | calcG(); | 
| 6 |  | 
| 7 | for(int i = 0; i < direction.size(); i++){ | 
| 8 | direction[i] = -curG[i]; | 
| 9 | } | 
| 10 |  | 
| 11 | } | 
| 12 |  | 
| 13 | int PRCGMinimizer::step(){ | 
| 14 | int lsStatus; | 
| 15 |  | 
| 16 | prevF = curF; | 
| 17 | prevG = curG; | 
| 18 | prevX = curX; | 
| 19 |  | 
| 20 | //optimize along the search direction and reset minimum point value | 
| 21 | lsStatus = doLineSearch(direction, stepSize); | 
| 22 |  | 
| 23 | if (lsStatus < 0) | 
| 24 | return -1; | 
| 25 | else | 
| 26 | return 1; | 
| 27 | } | 
| 28 |  | 
| 29 | void PRCGMinimizer::prepareStep(){ | 
| 30 | vector<double> deltaGrad; | 
| 31 | double beta; | 
| 32 | size_t i; | 
| 33 |  | 
| 34 | deltaGrad.resize(ndim); | 
| 35 |  | 
| 36 | //calculate the new direction using Polak-Ribiere Conjugate Gradient | 
| 37 |  | 
| 38 | for(i = 0; i < curG.size(); i++) | 
| 39 | deltaGrad[i] = curG[i] - prevG[i]; | 
| 40 |  | 
| 41 | #ifndef IS_MPI | 
| 42 | beta = dotProduct(deltaGrad, curG) / dotProduct(prevG, prevG); | 
| 43 | #else | 
| 44 | double localDP1; | 
| 45 | double localDP2; | 
| 46 | double globalDP1; | 
| 47 | double globalDP2; | 
| 48 |  | 
| 49 | localDP1 =  dotProduct(deltaGrad, curG); | 
| 50 | localDP2 = dotProduct(prevG, prevG); | 
| 51 |  | 
| 52 | MPI_Allreduce(&localDP1, &globalDP1, 1, MPI_DOUBLE,MPI_SUM, MPI_COMM_WORLD); | 
| 53 | MPI_Allreduce(&localDP2, &globalDP2, 1, MPI_DOUBLE,MPI_SUM, MPI_COMM_WORLD); | 
| 54 |  | 
| 55 | beta = globalDP1 / globalDP2; | 
| 56 | #endif | 
| 57 |  | 
| 58 | for(i = 0; i < direction.size(); i++) | 
| 59 | direction[i] = -curG[i] + beta * direction[i]; | 
| 60 |  | 
| 61 | } |