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Ready code for defence
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@@ -361,3 +361,5 @@ MigrationBackup/
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# Fody - auto-generated XML schema
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# Fody - auto-generated XML schema
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FodyWeavers.xsd
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FodyWeavers.xsd
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test*.cpp
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@@ -102,6 +102,7 @@
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<SDLCheck>true</SDLCheck>
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<SDLCheck>true</SDLCheck>
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<PreprocessorDefinitions>_DEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
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<PreprocessorDefinitions>_DEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
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<ConformanceMode>true</ConformanceMode>
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<ConformanceMode>true</ConformanceMode>
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<AdditionalIncludeDirectories>include/</AdditionalIncludeDirectories>
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</ClCompile>
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</ClCompile>
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<Link>
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<Link>
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<SubSystem>Console</SubSystem>
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<SubSystem>Console</SubSystem>
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@@ -116,20 +117,22 @@
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<SDLCheck>true</SDLCheck>
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<SDLCheck>true</SDLCheck>
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<PreprocessorDefinitions>NDEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
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<PreprocessorDefinitions>NDEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
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<ConformanceMode>true</ConformanceMode>
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<ConformanceMode>true</ConformanceMode>
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<AdditionalIncludeDirectories>include/</AdditionalIncludeDirectories>
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</ClCompile>
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</ClCompile>
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<Link>
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<Link>
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<SubSystem>Console</SubSystem>
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<SubSystem>Console</SubSystem>
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<GenerateDebugInformation>true</GenerateDebugInformation>
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<GenerateDebugInformation>true</GenerateDebugInformation>
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</Link>
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</Link>
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</ItemDefinitionGroup>
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</ItemDefinitionGroup>
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<ItemGroup>
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<ClCompile Include="main.cpp" />
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</ItemGroup>
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<ItemGroup>
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<ItemGroup>
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<None Include="packages.config" />
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<None Include="packages.config" />
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</ItemGroup>
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</ItemGroup>
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<ItemGroup>
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<ItemGroup>
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<ClInclude Include="Solver.hpp" />
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<ClInclude Include="include\Header.hpp" />
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<ClInclude Include="include\Params.hpp" />
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</ItemGroup>
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<ItemGroup>
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<ClCompile Include="src\main.cpp" />
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</ItemGroup>
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</ItemGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
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<ImportGroup Label="ExtensionTargets">
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<ImportGroup Label="ExtensionTargets">
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@@ -14,17 +14,20 @@
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<Extensions>rc;ico;cur;bmp;dlg;rc2;rct;bin;rgs;gif;jpg;jpeg;jpe;resx;tiff;tif;png;wav;mfcribbon-ms</Extensions>
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<Extensions>rc;ico;cur;bmp;dlg;rc2;rct;bin;rgs;gif;jpg;jpeg;jpe;resx;tiff;tif;png;wav;mfcribbon-ms</Extensions>
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</Filter>
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</Filter>
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</ItemGroup>
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</ItemGroup>
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<ItemGroup>
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<ClCompile Include="main.cpp">
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<Filter>Исходные файлы</Filter>
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</ClCompile>
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</ItemGroup>
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<ItemGroup>
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<ItemGroup>
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<None Include="packages.config" />
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<None Include="packages.config" />
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</ItemGroup>
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</ItemGroup>
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<ItemGroup>
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<ItemGroup>
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<ClInclude Include="Solver.hpp">
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<ClInclude Include="include\Header.hpp">
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<Filter>Файлы заголовков</Filter>
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</ClInclude>
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<ClInclude Include="include\Params.hpp">
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<Filter>Файлы заголовков</Filter>
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<Filter>Файлы заголовков</Filter>
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</ClInclude>
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</ClInclude>
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</ItemGroup>
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</ItemGroup>
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<ItemGroup>
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<ClCompile Include="src\main.cpp">
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<Filter>Исходные файлы</Filter>
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</ClCompile>
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</ItemGroup>
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</Project>
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</Project>
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@@ -1,2 +0,0 @@
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#pragma once
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@@ -0,0 +1,25 @@
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#include <iostream>
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#include <vector>
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#include <cmath>
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#include <fstream>
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#include <iomanip>
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#define M_PI 3.14159265358979323846
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enum Variables {
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dU_C1 = 0,
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dU_Cb,
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dI_L,
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U_C1,
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U_Cb,
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I_L,
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phi_1,
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phi_2,
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phi_3,
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phi_4,
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phi_5,
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I_E1,
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I_E2
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};
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constexpr char RESULT[] = "result.dat";
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@@ -0,0 +1,22 @@
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#define DIMENTION 13 // Ðàçìåðíîñòü
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// Ïàðàìåòðû ñõåìû
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#define MFt 0.026
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#define C1 0.1e-6
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#define Cb 2e-12
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#define E2 5
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#define L1 0.1
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#define It 1e-12
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#define Rb 20.0
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#define Ru 1000000
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#define R1 1000.0
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#define R2 10000.0
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#define T 1e-3 // Âðåìÿ ðàñ÷åòà
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#define N_iter 7 // Ìàêñèìàëüíîå ÷èñëî èòåðàöèé ìåòîäà Íüþòîíà
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#define ACR 1e-2 // Òî÷íîñòü
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#define EPS_MAX 0.2 // Ìàêñèìàëüíîå îøèáêà ìåòîäà Íüþòîíà íà øàãå
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#define EPS_MIN 1e-8 // Ìèíèìàëüíàÿ îøèáêà ìåòîäà Íüþòîíà íà øàãå
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#define SMN 1e-10 // Ìèíèìàëüíûé øàã ïî âðåìåíè
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@@ -1,157 +0,0 @@
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#include <iostream>
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#include <Eigen/Dense>
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#define M_PI 3.14159265358979323846 // pi
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using namespace Eigen;
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#define STATE_VARS 3*2 // Сами переменные и их проивзодные
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#define PHI 5 // Количество узлов в схеме
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#define EDS 2 // Количество источиков напряжения
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#define MATRIX_DIM STATE_VARS+PHI+EDS // Размерность якобиана
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const double TK = 1e-3; // время расчета
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const double T_Start = 1e-10; // начальный шаг
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const double SMN = 1e-15; // минимальный шаг
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const double ACR = 1e-2; // точность
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// Параметры модели
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double TAU = 5e-9;
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double MFt = 0.026;
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double C1 = 0.1;
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double Cb = 2e-12;
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double L = 0.001;
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double R1 = 1000;
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double R2 = 10000;
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double Ru = 1e+6;
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double Rb = 20;
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double It = 1e-12;
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double IL_prev = 0;
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double UC1_prev = 0;
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double UCb_prev = 0;
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double E2 = 5.;
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// Синусоидальный источник тока
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double E1(double t) {
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const double amplitude = 10.0;
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const double period = 1e-4;
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const double frequency = 2 * M_PI / period;
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const double phase = 0.0;
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return amplitude * sin(frequency * t + phase);
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}
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// Якобиан
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MatrixXd Y = MatrixXd::Zero(MATRIX_DIM, MATRIX_DIM);
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// Вектор невязок
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VectorXd N = VectorXd::Zero(MATRIX_DIM);
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// Вектор поправок
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VectorXd dX = VectorXd::Zero(MATRIX_DIM);
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// Вектор фазовых переменных
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VectorXd X = VectorXd::Zero(MATRIX_DIM);
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// Копия вектора фазовых переменных (для обработки случая неудачного шага)
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VectorXd X_backup = VectorXd::Zero(MATRIX_DIM);
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void Jacobian(double dt) {
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Y(0, 0) = 1, Y(0, 3) = -1. / dt;
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Y(1, 1) = 1, Y(1, 4) = -1. / dt;
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Y(2, 2) = 1, Y(2, 5) = -1. / dt;
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Y(3, 3) = 1., Y(3, 0) = -1.;
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Y(4, 4) = 1., Y(4, 8) = -1., Y(4, 9) = 1.;
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Y(5, 2) = L, Y(5, 7) = -1., Y(5, 10) = 1.;
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Y(6, 6) = 1. / R1, Y(6, 7) - 1. / R1, Y(6, 11) = -1.;
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Y(7, 5) = 1., Y(7, 6) = -1. / R1, Y(7, 7) = 1. / R1 + 1. / Rb, Y(7, 8) = -1. / Rb;
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Y(8, 1) = Cb, Y(8, 7) = -1. / Rb, Y(8, 8) = 1. / Rb + 1. / Ru, Y(8, 9) = -1. / Ru;
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Y(9, 1) = -Cb, Y(9, 8) = -1. / Ru, Y(9, 9) = 1. / Ru, Y(9, 11) = 1.;
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Y(10, 0) = C1, Y(10, 5) = -1., Y(10, 10) = 1. / R2;
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Y(11, 6) = -1.;
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Y(12, 9) = -1.;
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}
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// 0 - 2 производные
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// 3 - 5 переменные состояния
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// 6 - 10 узлы
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// 11 - 12 токи на ЭДС
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// Расчёт вектора невязки
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void nevyzka(double dt, double cur_time) {
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N(0) = X(0) - (X(3) - UC1_prev) / dt;
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N(1) = X(1) - (X(4) - UCb_prev) / dt;
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N(2) = X(2) - (X(5) - IL_prev) / dt;
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N(3) = X(3) - X(10);
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N(4) = X(4) - (X(8) - X(9));
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N(5) = X(5) * L - (X(7) - X(10));
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N(6) = -X(11) + (X(6) - X(7)) / R1;
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N(7) = -(X(6) - X(7)) / R1 + X(5) + (X(7) - X(8)) / Rb;
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N(8) = -(X(7) - X(8)) / Rb + It + (X(8) - X(9)) / Ru + Cb * X(1);
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N(9) = -It - (X(8) - X(9)) / Ru - Cb * X(1) + X(11);
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N(10) = -X(5) + C1 * X(0) + X(10) / R2;
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N(11) = E1(cur_time) - X(6);
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N(12) = E2 - X(9);
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// Перед вектором невязок стоит минус
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N = -1 * N;
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}
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int main() {
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double dt = T_Start; // Шаг по времени
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double dt_prev = dt; // Предыдущий шаг по времени
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double eps_max = ACR; // Максимальное отклонение
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double eps_min = 1e-10; // Минимальное отклонение
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int counter = 0; // Счетчик шагов по времени
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double cur_time = 0; // Текущее время
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double eps_cur;
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double eps;
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double step_c = 0;
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while (dt <= TK) {
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// Счётчик итераций
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int iteration = 0;
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bool flag = true;
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while (flag) {
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Jacobian(dt);
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nevyzka(dt, cur_time);
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#ifdef _DEBUG
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std::cout << Y << std::endl << N;
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#endif
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dX = Y.fullPivLu().solve(N);
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#ifdef _DEBUG
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std::cout << '\n' << dX;
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#endif
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X += dX;
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iteration++;
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double maximum = X.maxCoeff();
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if (maximum <= ACR) {
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flag = false;
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}
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else if (iteration == 7 && flag) {
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iteration = 0;
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dt /= 2.;
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if (dt < SMN) {
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std::cerr << "Sorry, but i can not solve this" << std::endl;
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exit(-1);
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}
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X = X_backup;
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}
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}
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// TODO: реализовать вычисление уточнённое решения, сравнить его с вычисленным,
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// возможно изменить шаг моделирования
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}
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// Для примера
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/*Jacobian(0.1);
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nevyzka(0.1, 0);
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std::cout << Y << std::endl << N;*/
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}
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+176
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#include <Eigen/Dense>
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#include "Header.hpp"
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#include "Params.hpp"
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double dt = 1e-5; // Начальный шаг по времени
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double prev_dt = dt;
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double t_cur = 0;
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using namespace std;
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using namespace Eigen;
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double E1(double t) {
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const double amplitude = 10.0;
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const double period = 1e-4;
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const double frequency = 2 * M_PI / period;
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const double phase = 0.0;
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return amplitude * sin(frequency * t + phase);
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}
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// Заполнение матрицы
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void fill_Jacobian(MatrixXd& Y, const VectorXd& cur_X) {
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double d_Id = It / MFt * exp(cur_X[U_Cb] / MFt);
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for (int i = 0; i < 3; i++) {
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Y(i, i) = 1.0;
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Y(i, i + 3) = -1.0 / dt;
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}
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Y(U_C1, U_C1) = 1.;
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Y(U_C1, phi_5) = -1.;
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Y(U_Cb, U_Cb) = 1.;
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Y(U_Cb, phi_3) = -1.;
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Y(U_Cb, phi_4) = 1.;
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Y(I_L, dI_L) = L1;
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Y(I_L, phi_2) = -1.;
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Y(I_L, phi_5) = 1.;
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Y(phi_1, phi_1) = 1. / R1;
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Y(phi_1, phi_2) = -1. / R1;
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Y(phi_1, I_E1) = 1.;
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Y(phi_2, I_L) = 1.;
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Y(phi_2, phi_1) = -1. / R1;
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Y(phi_2, phi_2) = 1. / R1 + 1. / Rb;
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Y(phi_2, phi_3) = -1. / Rb;
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Y(phi_3, dU_Cb) = Cb;
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Y(phi_3, phi_2) = -1. / Rb;
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Y(phi_3, phi_3) = 1. / Rb + 1. / Ru + d_Id;
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Y(phi_3, phi_4) = -1. / Ru - d_Id;
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Y(phi_4, dU_Cb) = -Cb;
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Y(phi_4, phi_3) = -1. / Ru - d_Id;
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Y(phi_4, phi_4) = 1. / Ru + d_Id;
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Y(phi_4, I_E2) = 1.;
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||||||
|
Y(phi_5, dU_C1) = C1;
|
||||||
|
Y(phi_5, I_L) = -1.;
|
||||||
|
Y(phi_5, phi_5) = 1. / R2;
|
||||||
|
|
||||||
|
Y(I_E1, phi_1) = -1.;
|
||||||
|
|
||||||
|
Y(I_E2, phi_4) = -1.;
|
||||||
|
}
|
||||||
|
// Заполнение вектора невязок
|
||||||
|
void fill_Nevyzka(VectorXd& b, const VectorXd& cur_X, const VectorXd& prev_X) {
|
||||||
|
double Id = It * exp(cur_X[U_Cb] / MFt);
|
||||||
|
|
||||||
|
// Первые три уравнения (производные)
|
||||||
|
b[dU_C1] = cur_X[dU_C1] - (cur_X[U_C1] - prev_X[U_C1]) / dt;
|
||||||
|
b[dU_Cb] = cur_X[dU_Cb] - (cur_X[U_Cb] - prev_X[U_Cb]) / dt;
|
||||||
|
b[dI_L] = cur_X[dI_L] - (cur_X[I_L] - prev_X[I_L]) / dt;
|
||||||
|
|
||||||
|
// Уравнения для переменных состояния
|
||||||
|
b[U_C1] = cur_X[U_C1] - cur_X[phi_5];
|
||||||
|
b[U_Cb] = cur_X[U_Cb] - (cur_X[phi_3] - cur_X[phi_4]);
|
||||||
|
b[I_L] = L1 * cur_X[dI_L] - (cur_X[phi_2] - cur_X[phi_5]);
|
||||||
|
|
||||||
|
// Уравнения Кирхгофа для узлов
|
||||||
|
b[phi_1] = cur_X[I_E1] + (cur_X[phi_1] - cur_X[phi_2]) / R1;
|
||||||
|
b[phi_2] = -(cur_X[phi_1] - cur_X[phi_2]) / R1 + cur_X[I_L] + (cur_X[phi_2] - cur_X[phi_3]) / Rb;
|
||||||
|
b[phi_3] = -(cur_X[phi_2] - cur_X[phi_3]) / Rb + Id + (cur_X[phi_3] - cur_X[phi_4]) / Ru + Cb * cur_X[dU_Cb];
|
||||||
|
b[phi_4] = -Id - (cur_X[phi_3] - cur_X[phi_4]) / Ru - Cb * cur_X[dU_Cb] + cur_X[I_E2];
|
||||||
|
b[phi_5] = -cur_X[I_L] + C1 * cur_X[dU_C1] + cur_X[phi_5] / R2;
|
||||||
|
|
||||||
|
// Уравнения для источников
|
||||||
|
b[I_E1] = E1(t_cur) - cur_X[phi_1];
|
||||||
|
b[I_E2] = E2 - cur_X[phi_4];
|
||||||
|
|
||||||
|
b = -1 * b;
|
||||||
|
}
|
||||||
|
|
||||||
|
int main() {
|
||||||
|
ofstream result_file(RESULT);
|
||||||
|
VectorXd delta_X(DIMENTION);
|
||||||
|
VectorXd cur_X = VectorXd::Zero(DIMENTION);
|
||||||
|
VectorXd prev_X = VectorXd::Zero(DIMENTION);
|
||||||
|
VectorXd prev_prev_X = VectorXd::Zero(DIMENTION);
|
||||||
|
MatrixXd Y = MatrixXd::Zero(DIMENTION, DIMENTION);
|
||||||
|
VectorXd b(DIMENTION);
|
||||||
|
double step_count = 0; // Счетчик числа шагов
|
||||||
|
double it_count = 0; // Счетчик числа итераций метода Ньютона
|
||||||
|
int counter = 0; // Счетчик числа шагов
|
||||||
|
while (t_cur < T) {
|
||||||
|
bool is_end = false; // Индикатор завершения итераций метода Ньютона
|
||||||
|
size_t n = 0; // Счетчик числа итераций метода Ньютона
|
||||||
|
while (!is_end) {
|
||||||
|
// Заполнение матрицы узловых проводимостей и вектора невязок значениями
|
||||||
|
fill_Jacobian(Y, cur_X);
|
||||||
|
fill_Nevyzka(b, cur_X, prev_X);
|
||||||
|
|
||||||
|
// Решение СЛАУ
|
||||||
|
delta_X = Y.partialPivLu().solve(b);
|
||||||
|
cur_X += delta_X;
|
||||||
|
|
||||||
|
// Проверка точности
|
||||||
|
is_end = delta_X.cwiseAbs().maxCoeff() <= ACR;
|
||||||
|
n++;
|
||||||
|
// Если требуемая точность не достигнута
|
||||||
|
if (!is_end) {
|
||||||
|
// Если превышено максимальное число итераций
|
||||||
|
if (n > N_iter) {
|
||||||
|
n = 0;
|
||||||
|
dt *= 0.5;
|
||||||
|
cur_X = prev_X;
|
||||||
|
if (dt < SMN) {
|
||||||
|
throw domain_error("Решение не сходится, dt < SMN");
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
double cur_delta = 0.0;
|
||||||
|
// Расчет текущей ошибки метода Ньютона
|
||||||
|
for (int i = dU_C1; i < DIMENTION; i++) {
|
||||||
|
//if (i == dU_Cb) continue;
|
||||||
|
double tmp = 0.5 * dt * dt * abs(((cur_X(i) - prev_X(i)) / dt - (prev_X(i) - prev_prev_X(i)) / prev_dt));
|
||||||
|
cur_delta = (tmp > cur_delta) ? tmp : cur_delta;
|
||||||
|
}
|
||||||
|
// Если интегрирование неудовлетворительно по точности
|
||||||
|
if (cur_delta > EPS_MAX && dt > SMN) {
|
||||||
|
// Уменьшаем шаг по времени и отбрасываем результаты текущего шага
|
||||||
|
dt *= 0.5;
|
||||||
|
cur_X = prev_X;
|
||||||
|
}
|
||||||
|
|
||||||
|
else {
|
||||||
|
// Сохранение значений с предыдущего шага
|
||||||
|
prev_prev_X = prev_X;
|
||||||
|
prev_X = cur_X;
|
||||||
|
prev_dt = dt;
|
||||||
|
// Вывод значения переменной на текущем временном шаге
|
||||||
|
result_file
|
||||||
|
<< t_cur << ' '
|
||||||
|
<< cur_X(phi_1) << ' '
|
||||||
|
<< cur_X(phi_2) << ' '
|
||||||
|
<< cur_X(phi_3) << ' '
|
||||||
|
<< cur_X(phi_4) << ' '
|
||||||
|
<< cur_X(phi_5) << std::endl;
|
||||||
|
// Шаг по времени
|
||||||
|
t_cur += dt;
|
||||||
|
counter++;
|
||||||
|
step_count += dt;
|
||||||
|
it_count += n;
|
||||||
|
cout << counter << " n_it=" << n << " t=" << t_cur << endl;
|
||||||
|
if (cur_delta < EPS_MIN) {
|
||||||
|
dt *= 2;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
cout << "Число шагов по времени: " << counter << endl;
|
||||||
|
cout << "Средний шаг по времени: " << step_count / counter << endl;
|
||||||
|
cout << "Среднее число итераций: " << it_count / counter << endl;
|
||||||
|
return 0;
|
||||||
|
}
|
||||||
+119
@@ -0,0 +1,119 @@
|
|||||||
|
{
|
||||||
|
"cells": [
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "a4654478",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stderr",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"<>:5: SyntaxWarning: invalid escape sequence '\\s'\n",
|
||||||
|
"<>:5: SyntaxWarning: invalid escape sequence '\\s'\n",
|
||||||
|
"C:\\Users\\fanof\\AppData\\Local\\Temp\\ipykernel_21748\\2205711897.py:5: SyntaxWarning: invalid escape sequence '\\s'\n",
|
||||||
|
" data = pd.read_csv('test.csv', sep='\\s+', header=None)\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"image/png": 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truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 1500x1000 with 6 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"image/png": "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 truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 2000x400 with 5 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"import pandas as pd\n",
|
||||||
|
"import matplotlib.pyplot as plt\n",
|
||||||
|
"\n",
|
||||||
|
"# Чтение данных из файла\n",
|
||||||
|
"data = pd.read_csv('result.dat', sep='\\s+', header=None)\n",
|
||||||
|
"\n",
|
||||||
|
"# Создание подграфиков\n",
|
||||||
|
"fig, axes = plt.subplots(2, 3, figsize=(15, 10))\n",
|
||||||
|
"fig.suptitle('Графики данных из test.csv', fontsize=16)\n",
|
||||||
|
"\n",
|
||||||
|
"# График 0-1 значений\n",
|
||||||
|
"axes[0, 0].plot(data[0], data[1])\n",
|
||||||
|
"axes[0, 0].set_xlabel('Time')\n",
|
||||||
|
"axes[0, 0].set_ylabel('1')\n",
|
||||||
|
"\n",
|
||||||
|
"# График 0-2 значений\n",
|
||||||
|
"axes[0, 1].plot(data[0], data[2])\n",
|
||||||
|
"axes[0, 1].set_xlabel('Time')\n",
|
||||||
|
"axes[0, 1].set_ylabel('2')\n",
|
||||||
|
"\n",
|
||||||
|
"# График 0-3 значений\n",
|
||||||
|
"axes[0, 2].plot(data[0], data[3])\n",
|
||||||
|
"axes[0, 2].set_xlabel('Time')\n",
|
||||||
|
"axes[0, 2].set_ylabel('3')\n",
|
||||||
|
"\n",
|
||||||
|
"# График 0-4 значений\n",
|
||||||
|
"axes[1, 0].plot(data[0], data[4])\n",
|
||||||
|
"axes[1, 0].set_xlabel('Time')\n",
|
||||||
|
"axes[1, 0].set_ylabel('4')\n",
|
||||||
|
"\n",
|
||||||
|
"# График 0-5 значений\n",
|
||||||
|
"axes[1, 1].plot(data[0], data[5])\n",
|
||||||
|
"axes[1, 1].set_xlabel('Time')\n",
|
||||||
|
"axes[1, 1].set_ylabel('5')\n",
|
||||||
|
"\n",
|
||||||
|
"# Скрываем последний пустой подграфик\n",
|
||||||
|
"axes[1, 2].set_visible(False)\n",
|
||||||
|
"\n",
|
||||||
|
"plt.tight_layout()\n",
|
||||||
|
"plt.show()\n",
|
||||||
|
"\n",
|
||||||
|
"# Альтернативный вариант: отдельные графики\n",
|
||||||
|
"fig2, axes2 = plt.subplots(1, 5, figsize=(20, 4))\n",
|
||||||
|
"\n",
|
||||||
|
"columns = [1, 2, 3, 4, 5]\n",
|
||||||
|
"titles = ['1', '2', '3', '4', '5']\n",
|
||||||
|
"\n",
|
||||||
|
"for i, (col, title) in enumerate(zip(columns, titles)):\n",
|
||||||
|
" axes2[i].plot(data[0], data[col])\n",
|
||||||
|
" axes2[i].set_xlabel('Time')\n",
|
||||||
|
" axes2[i].set_ylabel(title)\n",
|
||||||
|
"\n",
|
||||||
|
"plt.tight_layout()\n",
|
||||||
|
"plt.show()"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"metadata": {
|
||||||
|
"kernelspec": {
|
||||||
|
"display_name": "Python 3",
|
||||||
|
"language": "python",
|
||||||
|
"name": "python3"
|
||||||
|
},
|
||||||
|
"language_info": {
|
||||||
|
"codemirror_mode": {
|
||||||
|
"name": "ipython",
|
||||||
|
"version": 3
|
||||||
|
},
|
||||||
|
"file_extension": ".py",
|
||||||
|
"mimetype": "text/x-python",
|
||||||
|
"name": "python",
|
||||||
|
"nbconvert_exporter": "python",
|
||||||
|
"pygments_lexer": "ipython3",
|
||||||
|
"version": "3.12.3"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 5
|
||||||
|
}
|
||||||
Reference in new issue
Block a user