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|---|---|---|---|
| 1 | #include "chyokotov_a_seidel_method/seq/include/ops_seq.hpp" | ||
| 2 | |||
| 3 | #include <algorithm> | ||
| 4 | #include <climits> | ||
| 5 | #include <cmath> | ||
| 6 | #include <cstddef> | ||
| 7 | #include <vector> | ||
| 8 | |||
| 9 | #include "chyokotov_a_seidel_method/common/include/common.hpp" | ||
| 10 | |||
| 11 | namespace chyokotov_a_seidel_method { | ||
| 12 | |||
| 13 |
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40 | ChyokotovASeidelMethodSEQ::ChyokotovASeidelMethodSEQ(const InType &in) { |
| 14 | SetTypeOfTask(GetStaticTypeOfTask()); | ||
| 15 | GetInput().first.clear(); | ||
| 16 |
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40 | GetInput().first.reserve(in.first.size()); |
| 17 |
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120 | for (const auto &row : in.first) { |
| 18 |
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80 | GetInput().first.push_back(row); |
| 19 | } | ||
| 20 |
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40 | GetInput().second = in.second; |
| 21 | GetOutput().clear(); | ||
| 22 | 40 | } | |
| 23 | |||
| 24 |
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40 | bool ChyokotovASeidelMethodSEQ::ValidationImpl() { |
| 25 | const auto &matrix = GetInput().first; | ||
| 26 |
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40 | if (matrix.empty()) { |
| 27 | return true; | ||
| 28 | } | ||
| 29 |
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32 | if (GetInput().second.size() != matrix.size()) { |
| 30 | return false; | ||
| 31 | } | ||
| 32 | |||
| 33 | size_t n = matrix[0].size(); | ||
| 34 |
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112 | for (const auto &row : matrix) { |
| 35 |
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80 | if (row.size() != n) { |
| 36 | return false; | ||
| 37 | } | ||
| 38 | } | ||
| 39 | |||
| 40 |
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112 | for (size_t i = 0; i < n; ++i) { |
| 41 | double sum = 0.0; | ||
| 42 |
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320 | for (size_t j = 0; j < n; j++) { |
| 43 |
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240 | if (i != j) { |
| 44 | 160 | sum += std::abs(matrix[i][j]); | |
| 45 | } | ||
| 46 | } | ||
| 47 |
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80 | if (std::abs(matrix[i][i]) <= sum) { |
| 48 | return false; | ||
| 49 | } | ||
| 50 | } | ||
| 51 | |||
| 52 | return true; | ||
| 53 | } | ||
| 54 | |||
| 55 |
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40 | bool ChyokotovASeidelMethodSEQ::PreProcessingImpl() { |
| 56 |
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40 | if (GetInput().first.empty()) { |
| 57 | return true; | ||
| 58 | } | ||
| 59 | 32 | GetOutput().resize(GetInput().second.size(), 0.0); | |
| 60 | 32 | return true; | |
| 61 | } | ||
| 62 | |||
| 63 | 168 | bool ChyokotovASeidelMethodSEQ::Convergence() { | |
| 64 | const auto &matrix = GetInput().first; | ||
| 65 | const auto &vec = GetInput().second; | ||
| 66 | auto &output = GetOutput(); | ||
| 67 | 168 | const int n = static_cast<int>(vec.size()); | |
| 68 | |||
| 69 | 168 | double max_error = 0.0; | |
| 70 |
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632 | for (int i = 0; i < n; i++) { |
| 71 | 464 | double error = vec[i]; | |
| 72 |
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1856 | for (int j = 0; j < n; j++) { |
| 73 | 1392 | error -= matrix[i][j] * output[j]; | |
| 74 | } | ||
| 75 | 464 | max_error = std::max(std::abs(error), max_error); | |
| 76 | } | ||
| 77 | |||
| 78 | 168 | return (max_error < 0.000001); | |
| 79 | } | ||
| 80 | |||
| 81 |
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40 | bool ChyokotovASeidelMethodSEQ::RunImpl() { |
| 82 | const auto &matrix = GetInput().first; | ||
| 83 |
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40 | if (matrix.empty()) { |
| 84 | return true; | ||
| 85 | } | ||
| 86 | const auto &vec = GetInput().second; | ||
| 87 | auto &output = GetOutput(); | ||
| 88 | 32 | int n = static_cast<int>(matrix.size()); | |
| 89 | |||
| 90 |
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168 | for (int it = 0; it < 1000; it++) { |
| 91 |
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632 | for (int i = 0; i < n; i++) { |
| 92 | 464 | double new_x = vec[i]; | |
| 93 | |||
| 94 |
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1856 | for (int j = 0; j < n; j++) { |
| 95 |
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1392 | if (i != j) { |
| 96 | 928 | new_x -= matrix[i][j] * output[j]; | |
| 97 | } | ||
| 98 | } | ||
| 99 | |||
| 100 | 464 | output[i] = new_x / matrix[i][i]; | |
| 101 | } | ||
| 102 | |||
| 103 |
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168 | if (Convergence()) { |
| 104 | break; | ||
| 105 | } | ||
| 106 | } | ||
| 107 | |||
| 108 | return true; | ||
| 109 | } | ||
| 110 | |||
| 111 | 40 | bool ChyokotovASeidelMethodSEQ::PostProcessingImpl() { | |
| 112 | 40 | return true; | |
| 113 | } | ||
| 114 | |||
| 115 | } // namespace chyokotov_a_seidel_method | ||
| 116 |