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|---|---|---|---|
| 1 | #include "kiselev_i_trapezoidal_method_for_multidimensional_integrals/seq/include/ops_seq.hpp" | ||
| 2 | |||
| 3 | #include <cmath> | ||
| 4 | #include <vector> | ||
| 5 | |||
| 6 | #include "kiselev_i_trapezoidal_method_for_multidimensional_integrals/common/include/common.hpp" | ||
| 7 | |||
| 8 | namespace kiselev_i_trapezoidal_method_for_multidimensional_integrals { | ||
| 9 | |||
| 10 |
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160 | KiselevITestTaskSEQ::KiselevITestTaskSEQ(const InType &in) { |
| 11 | SetTypeOfTask(GetStaticTypeOfTask()); | ||
| 12 |
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160 | GetInput() = in; |
| 13 | 160 | GetOutput() = 0; | |
| 14 | 160 | } | |
| 15 | |||
| 16 | 160 | bool KiselevITestTaskSEQ::ValidationImpl() { | |
| 17 | 160 | return true; | |
| 18 | } | ||
| 19 | |||
| 20 | 160 | bool KiselevITestTaskSEQ::PreProcessingImpl() { | |
| 21 | 160 | GetOutput() = 0.0; | |
| 22 | 160 | return true; | |
| 23 | } | ||
| 24 | |||
| 25 | 25371144 | double KiselevITestTaskSEQ::FunctionTypeChoose(int type_x, double x, double y) { | |
| 26 |
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25371144 | switch (type_x) { |
| 27 | 6643280 | case 0: | |
| 28 | 6643280 | return (x * x) + (y * y); | |
| 29 | 1609616 | case 1: | |
| 30 | 1609616 | return std::sin(x) * std::cos(y); | |
| 31 | 9563256 | case 2: | |
| 32 | 9563256 | return std::sin(x) + std::cos(y); | |
| 33 | 3223728 | case 3: | |
| 34 | 3223728 | return std::exp(x + y); | |
| 35 | 4331264 | default: | |
| 36 | 4331264 | return x + y; | |
| 37 | } | ||
| 38 | } | ||
| 39 | |||
| 40 | 264 | double KiselevITestTaskSEQ::ComputeIntegral(const std::vector<int> &steps) { | |
| 41 | double result = 0.0; | ||
| 42 | |||
| 43 | 264 | double hx = (GetInput().right_bounds[0] - GetInput().left_bounds[0]) / steps[0]; | |
| 44 | 264 | double hy = (GetInput().right_bounds[1] - GetInput().left_bounds[1]) / steps[1]; | |
| 45 | |||
| 46 |
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73968 | for (int i = 0; i <= steps[0]; i++) { |
| 47 | 73704 | double x = GetInput().left_bounds[0] + (i * hx); | |
| 48 |
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73704 | double wx = (i == 0 || i == steps[0]) ? 0.5 : 1.0; |
| 49 | |||
| 50 |
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25444848 | for (int j = 0; j <= steps[1]; j++) { |
| 51 | 25371144 | double y = GetInput().left_bounds[1] + (j * hy); | |
| 52 |
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25371144 | double wy = (j == 0 || j == steps[1]) ? 0.5 : 1.0; |
| 53 | |||
| 54 | 25371144 | result += wx * wy * FunctionTypeChoose(GetInput().type_function, x, y); | |
| 55 | } | ||
| 56 | } | ||
| 57 | |||
| 58 | 264 | return result * hx * hy; | |
| 59 | } | ||
| 60 | |||
| 61 | 160 | bool KiselevITestTaskSEQ::RunImpl() { | |
| 62 | 160 | std::vector<int> steps = GetInput().step_n_size; | |
| 63 |
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160 | double epsilon = GetInput().epsilon; |
| 64 | |||
| 65 | const auto &in = GetInput(); | ||
| 66 |
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160 | if (in.left_bounds.size() != 2 || in.right_bounds.size() != 2 || in.step_n_size.size() != 2) { |
| 67 | 24 | GetOutput() = 0.0; | |
| 68 | 24 | return true; | |
| 69 | } | ||
| 70 |
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136 | if (epsilon <= 0.0) { |
| 71 | 8 | GetOutput() = ComputeIntegral(steps); | |
| 72 | 8 | return true; | |
| 73 | } | ||
| 74 | |||
| 75 | 128 | double prev = ComputeIntegral(steps); | |
| 76 | double current = prev; | ||
| 77 | |||
| 78 | int iter = 0; | ||
| 79 | const int max_iter = 1; // for time_limit | ||
| 80 | |||
| 81 |
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128 | while (iter < max_iter) { |
| 82 |
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384 | for (auto &s : steps) { |
| 83 | 256 | s *= 2; | |
| 84 | } | ||
| 85 | |||
| 86 | 128 | current = ComputeIntegral(steps); | |
| 87 | |||
| 88 |
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128 | if (std::abs(current - prev) < epsilon) { |
| 89 | break; | ||
| 90 | } | ||
| 91 | |||
| 92 | prev = current; | ||
| 93 | iter++; | ||
| 94 | } | ||
| 95 | |||
| 96 | 128 | GetOutput() = current; | |
| 97 | 128 | return true; | |
| 98 | } | ||
| 99 | |||
| 100 | 160 | bool KiselevITestTaskSEQ::PostProcessingImpl() { | |
| 101 | 160 | return true; | |
| 102 | } | ||
| 103 | |||
| 104 | } // namespace kiselev_i_trapezoidal_method_for_multidimensional_integrals | ||
| 105 |