| [1018] | 1 | #!/usr/bin/env python |
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| 2 | |
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| 3 | import unittest |
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| 4 | |
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| 5 | |
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| 6 | from Numeric import dot, allclose, array, transpose, arange, ones, Float |
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| 7 | from cg_solve import * |
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| 8 | from sparse import Sparse, Sparse_CSR |
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| 9 | |
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| 10 | |
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| 11 | class Test_CG_Solve(unittest.TestCase): |
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| 12 | |
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| 13 | def test_sparse_solve(self): |
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| 14 | """Small Sparse Matrix""" |
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| 15 | |
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| 16 | A = [[2.0, -1.0, 0.0, 0.0 ], |
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| 17 | [-1.0, 2.0, -1.0, 0.0], |
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| 18 | [0.0, -1.0, 2.0, -1.0], |
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| 19 | [0.0,0.0, -1.0, 2.0]] |
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| 20 | |
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| 21 | A = Sparse(A) |
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| 22 | |
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| 23 | xe = [0.0, 1.0, 2.0, 3.0] |
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| 24 | b = A*xe |
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| 25 | x = [0.0, 0.0, 0.0, 0.0] |
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| 26 | |
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| 27 | x = conjugate_gradient(A,b,x,iprint=0) |
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| 28 | |
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| 29 | assert allclose(x,xe) |
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| 30 | |
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| [1160] | 31 | def test_max_iter(self): |
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| 32 | """Small Sparse Matrix""" |
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| [1018] | 33 | |
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| [1160] | 34 | A = [[2.0, -1.0, 0.0, 0.0 ], |
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| 35 | [-1.0, 2.0, -1.0, 0.0], |
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| 36 | [0.0, -1.0, 2.0, -1.0], |
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| 37 | [0.0,0.0, -1.0, 2.0]] |
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| 38 | |
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| 39 | A = Sparse(A) |
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| 40 | |
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| 41 | xe = [0.0, 1.0, 2.0, 3.0] |
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| 42 | b = A*xe |
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| 43 | x = [0.0, 0.0, 0.0, 0.0] |
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| 44 | |
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| 45 | x = conjugate_gradient(A,b,x,iprint=0,imax=2) |
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| 46 | |
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| 47 | |
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| [1018] | 48 | def test_solve_large(self): |
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| 49 | """Standard 1d laplacian """ |
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| 50 | |
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| 51 | n = 50 |
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| 52 | A = Sparse(n,n) |
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| 53 | |
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| 54 | for i in arange(0,n): |
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| 55 | A[i,i] = 1.0 |
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| 56 | if i > 0 : |
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| 57 | A[i,i-1] = -0.5 |
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| 58 | if i < n-1 : |
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| 59 | A[i,i+1] = -0.5 |
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| 60 | |
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| 61 | xe = ones( (n,), Float) |
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| 62 | |
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| 63 | b = A*xe |
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| 64 | x = conjugate_gradient(A,b,b,tol=1.0e-5,iprint=0) |
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| 65 | |
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| 66 | assert allclose(x,xe) |
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| 67 | |
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| 68 | def test_solve_large_2d(self): |
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| 69 | """Standard 2d laplacian""" |
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| 70 | |
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| 71 | n = 20 |
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| 72 | m = 10 |
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| 73 | |
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| 74 | A = Sparse(m*n, m*n) |
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| 75 | |
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| 76 | for i in arange(0,n): |
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| 77 | for j in arange(0,m): |
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| 78 | I = j+m*i |
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| 79 | A[I,I] = 4.0 |
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| 80 | if i > 0 : |
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| 81 | A[I,I-m] = -1.0 |
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| 82 | if i < n-1 : |
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| 83 | A[I,I+m] = -1.0 |
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| 84 | if j > 0 : |
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| 85 | A[I,I-1] = -1.0 |
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| 86 | if j < m-1 : |
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| 87 | A[I,I+1] = -1.0 |
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| 88 | |
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| 89 | xe = ones( (n*m,), Float) |
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| 90 | |
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| 91 | b = A*xe |
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| 92 | x = conjugate_gradient(A,b,b,iprint=0) |
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| 93 | |
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| 94 | assert allclose(x,xe) |
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| 95 | |
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| 96 | def test_solve_large_2d_csr_matrix(self): |
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| 97 | """Standard 2d laplacian with csr format |
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| 98 | """ |
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| 99 | |
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| 100 | n = 100 |
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| 101 | m = 100 |
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| 102 | |
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| 103 | A = Sparse(m*n, m*n) |
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| 104 | |
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| 105 | for i in arange(0,n): |
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| 106 | for j in arange(0,m): |
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| 107 | I = j+m*i |
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| 108 | A[I,I] = 4.0 |
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| 109 | if i > 0 : |
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| 110 | A[I,I-m] = -1.0 |
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| 111 | if i < n-1 : |
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| 112 | A[I,I+m] = -1.0 |
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| 113 | if j > 0 : |
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| 114 | A[I,I-1] = -1.0 |
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| 115 | if j < m-1 : |
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| 116 | A[I,I+1] = -1.0 |
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| 117 | |
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| 118 | xe = ones( (n*m,), Float) |
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| 119 | |
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| 120 | # Convert to csr format |
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| 121 | #print 'start covert' |
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| 122 | A = Sparse_CSR(A) |
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| 123 | #print 'finish covert' |
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| 124 | b = A*xe |
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| 125 | x = conjugate_gradient(A,b,b,iprint=20) |
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| 126 | |
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| 127 | assert allclose(x,xe) |
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| 128 | |
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| 129 | |
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| 130 | def test_solve_large_2d_with_default_guess(self): |
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| 131 | """Standard 2d laplacian using default first guess""" |
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| 132 | |
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| 133 | n = 20 |
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| 134 | m = 10 |
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| 135 | |
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| 136 | A = Sparse(m*n, m*n) |
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| 137 | |
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| 138 | for i in arange(0,n): |
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| 139 | for j in arange(0,m): |
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| 140 | I = j+m*i |
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| 141 | A[I,I] = 4.0 |
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| 142 | if i > 0 : |
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| 143 | A[I,I-m] = -1.0 |
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| 144 | if i < n-1 : |
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| 145 | A[I,I+m] = -1.0 |
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| 146 | if j > 0 : |
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| 147 | A[I,I-1] = -1.0 |
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| 148 | if j < m-1 : |
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| 149 | A[I,I+1] = -1.0 |
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| 150 | |
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| 151 | xe = ones( (n*m,), Float) |
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| 152 | |
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| 153 | b = A*xe |
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| 154 | x = conjugate_gradient(A,b) |
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| 155 | |
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| 156 | assert allclose(x,xe) |
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| 157 | |
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| 158 | |
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| 159 | def test_vector_shape_error(self): |
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| 160 | """Raise VectorShapeError""" |
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| 161 | |
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| 162 | A = [[2.0, -1.0, 0.0, 0.0 ], |
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| 163 | [-1.0, 2.0, -1.0, 0.0], |
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| 164 | [0.0, -1.0, 2.0, -1.0], |
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| 165 | [0.0,0.0, -1.0, 2.0]] |
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| 166 | |
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| 167 | A = Sparse(A) |
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| 168 | |
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| 169 | xe = [[0.0,2.0], [1.0,3.0], [2.0,4.0], [3.0,2.0]] |
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| 170 | |
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| 171 | try: |
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| 172 | x = conjugate_gradient(A,xe,xe,iprint=0) |
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| 173 | except: |
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| 174 | pass |
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| 175 | else: |
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| 176 | msg = 'Should have raised exception' |
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| 177 | raise msg |
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| 178 | |
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| 179 | |
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| 180 | #------------------------------------------------------------- |
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| 181 | if __name__ == "__main__": |
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| 182 | suite = unittest.makeSuite(Test_CG_Solve,'test') |
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| 183 | runner = unittest.TextTestRunner() #(verbosity=2) |
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| 184 | runner.run(suite) |
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| 185 | |
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| 186 | |
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| 187 | |
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