diff --git a/4 вычмат/ЛАБОРАТОРНЫЙ ПРАКТИКУМ ПО ВЫЧИСЛИТЕЛЬНОЙ МАТЕМАТИКЕ.pdf b/4 вычмат/ЛАБОРАТОРНЫЙ ПРАКТИКУМ ПО ВЫЧИСЛИТЕЛЬНОЙ МАТЕМАТИКЕ.pdf new file mode 100644 index 0000000..23c40dc Binary files /dev/null and b/4 вычмат/ЛАБОРАТОРНЫЙ ПРАКТИКУМ ПО ВЫЧИСЛИТЕЛЬНОЙ МАТЕМАТИКЕ.pdf differ diff --git a/4 вычмат/задания/Задание ЛР№2.pdf b/4 вычмат/задания/Задание ЛР№2.pdf new file mode 100644 index 0000000..1c0aeb3 Binary files /dev/null and b/4 вычмат/задания/Задание ЛР№2.pdf differ diff --git a/4 вычмат/задания/Задание ЛР№3.pdf b/4 вычмат/задания/Задание ЛР№3.pdf new file mode 100644 index 0000000..b55a784 Binary files /dev/null and b/4 вычмат/задания/Задание ЛР№3.pdf differ diff --git a/4 вычмат/лабораторные/lab2/.editorconfig b/4 вычмат/лабораторные/lab2/.editorconfig new file mode 100644 index 0000000..0e8221b --- /dev/null +++ b/4 вычмат/лабораторные/lab2/.editorconfig @@ -0,0 +1,18 @@ +# This file is for unifying the coding style for different editors and IDEs +# editorconfig.org + +root = true + +[*] +charset = utf-8 +end_of_line = lf +trim_trailing_whitespace = true +insert_final_newline = true +indent_style = space +indent_size = 4 + +[*.py] +indent_size = 2 + +[*.md] +trim_trailing_whitespace = false diff --git a/4 вычмат/лабораторные/lab2/.gitattributes b/4 вычмат/лабораторные/lab2/.gitattributes new file mode 100644 index 0000000..3fd5c70 --- /dev/null +++ b/4 вычмат/лабораторные/lab2/.gitattributes @@ -0,0 +1,3 @@ +*.pyc linguist-generated=true +*.pyo linguist-generated=true +*.pyd linguist-generated=true diff --git a/4 вычмат/лабораторные/lab2/.gitignore b/4 вычмат/лабораторные/lab2/.gitignore new file mode 100644 index 0000000..842cea6 --- /dev/null +++ b/4 вычмат/лабораторные/lab2/.gitignore @@ -0,0 +1,165 @@ +# Graphics +*.png + +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; 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If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + Copyright (C) + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. diff --git a/4 вычмат/лабораторные/lab2/README.md b/4 вычмат/лабораторные/lab2/README.md new file mode 100644 index 0000000..30a4db7 --- /dev/null +++ b/4 вычмат/лабораторные/lab2/README.md @@ -0,0 +1,72 @@ +# Лабораторная работа 2 + +## Вариант `2` + +kon + +> «Численное решение нелинейных уравнений и систем» + +|.pdf|.docx| +|-|-| +| [report](./docs/report.pdf) | [report](./docs/report.docx) | + +--- + +## Задание ЛР №2 + +[Задание ЛР №2](../../задания/Задание%20ЛР№2.pdf) + +Цель работы: изучить численные методы решения нелинейных уравнений и их +систем, найти корни заданного нелинейного уравнения/системы нелинейных уравнений, +выполнить программную реализацию методов. + +**Лабораторная работа состоит из двух частей: вычислительной и программной.** + +## Содержание отчета: + +- Титульный лист. +- Цель лабораторной работы. +- Порядок выполнения работы. +- Рабочие формулы используемых методов. +- Графики функций на исследуемом интервале. +- Заполненные таблицы вычислительной части 1 лабораторной работы (в зависимости от варианта: табл. 1 – 5). +- Решение системы нелинейных уравнений (вычислительная часть 2). +- Листинг программы, по крайней мере, коды используемых методов. +- Результаты выполнения программы при различных исходных данных. +- Выводы + +## Контрольные вопросы к защите лабораторной работы: + +1. Понятие точного и приближенного решений нелинейного уравнения. +2. Основная идея метода половинного деления? +3. Может ли метод половинного деления найти точное значение корня уравнения? +4. В чем суть метода Ньютона? +5. Как выбирается начальное приближение для метода Ньютона? +6. Идея метода хорд? +7. Как выбирается начальное приближение для метода хорд с фиксированным концом +интервала изоляции корня? +8. По каким причинам методы хорд и касательных предпочтительнее метода простой +итерации? +9. Какой из методов является двухшаговым методом? Как запустить этот метод? +10. В чем суть метода простой итерации? +11. Каковы условия применяемости метода простой итерации? +12. Как правильно преобразовать исходное нелинейное уравнение $y = f(x)$ к виду $x = \phi(x)$? +13. Каковы основные критерии окончания итерационного процесса? +14. Как оценить необходимое количество итераций в методе биссекции при заданной +точности? +15. Алгоритм решения системы нелинейных уравнений методом Ньютона? +16. Каковы преимущества и недостатки графического метода отделения решения для +системы двух нелинейных уравнений? +17. В каких случаях можно применить метод простой итерации для решения системы +нелинейных уравнений? +18. Когда можно считать итерационный процесс законченным при использовании метода простой итерации для решения системы нелинейных уравнений? +19. Что такое сходимость и скорость сходимости численных методов? +20. Дайте определение устойчивости итерационного метода? + +## Лицензия + +Проект доступен с открытым исходным кодом на условиях [Лицензии GNU GPL 3](https://opensource.org/license/gpl-3-0/). + +*Авторские права 2023 Max Barsukov* + +**Поставьте звезду :star:, если вы нашли этот проект полезным.** diff --git a/4 вычмат/лабораторные/lab2/docs/report.docx b/4 вычмат/лабораторные/lab2/docs/report.docx new file mode 100644 index 0000000..4a94ccb Binary files /dev/null and b/4 вычмат/лабораторные/lab2/docs/report.docx differ diff --git a/4 вычмат/лабораторные/lab2/docs/report.pdf b/4 вычмат/лабораторные/lab2/docs/report.pdf new file mode 100644 index 0000000..20ba77a Binary files /dev/null and b/4 вычмат/лабораторные/lab2/docs/report.pdf differ diff --git a/4 вычмат/лабораторные/lab2/src/dto/equation.py b/4 вычмат/лабораторные/lab2/src/dto/equation.py new file mode 100644 index 0000000..bc88d71 --- /dev/null +++ b/4 вычмат/лабораторные/lab2/src/dto/equation.py @@ -0,0 +1,30 @@ +from typing import Callable +import matplotlib.pyplot as plt +import numpy as np +from scipy.misc import derivative + + +dx = 0.00001 + +class Equation: + def __init__(self, function: Callable, text: str): + self.text = text + self.function = function + + def draw(self, left: float, right: float): + x = np.linspace(left, right) + func = np.vectorize(self.function)(x) + + plt.title = 'График заданной функции' + plt.grid(True, which='both') + plt.xlabel('X') + plt.ylabel('Y') + plt.axhline(y=0, color='gray', label='y = 0') + plt.plot(x, func, 'blue', label=self.text) + plt.legend(loc='upper left') + plt.savefig('graph.png') + plt.show() + + def root_exists(self, left: float, right: float): + return (self.function(left) * self.function(right) < 0) \ + and (derivative(self.function, left, dx) * derivative(self.function, left, dx) > 0) diff --git a/4 вычмат/лабораторные/lab2/src/dto/result.py b/4 вычмат/лабораторные/lab2/src/dto/result.py new file mode 100644 index 0000000..47306f9 --- /dev/null +++ b/4 вычмат/лабораторные/lab2/src/dto/result.py @@ -0,0 +1,15 @@ +from dataclasses import dataclass + + +@dataclass +class Result: + root: float + function_value_at_root: float + iterations: int + decimal_places: int + + def __str__(self): + return 'Результат:\n' \ + f'Найденный корень уравнения: {round(self.root, self.decimal_places)}\n' \ + f'Значение функции в корне: {self.function_value_at_root}\n' \ + f'Число итераций: {self.iterations}' diff --git a/4 вычмат/лабораторные/lab2/src/main.py b/4 вычмат/лабораторные/lab2/src/main.py new file mode 100644 index 0000000..f5d0c89 --- /dev/null +++ b/4 вычмат/лабораторные/lab2/src/main.py @@ -0,0 +1,77 @@ +import math + +from dto.equation import Equation +from methods.half_division_method import HalfDivisionMethod +from methods.newton_method import NewtonMethod +from methods.simple_iterations_method import SimpleIterationsMethod +from methods.chord_method import ChordMethod + +import system_of_equation +import mainboilerplate + +methods = { + 1: HalfDivisionMethod, + 2: ChordMethod, + 3: SimpleIterationsMethod, + 4: NewtonMethod +} + +predefined_functions = { + 1: Equation(lambda x: (-1.38*x**3 - 5.42*x**2 + 2.57*x + 10.95), '-1.38*x^3 - 5.42*x^2 + 2.57*x + 10.95'), + 2: Equation(lambda x: (x**3 - 1.89*x**2 - 2*x + 1.76), 'x^3 - 1.89*x^2 - 2*x + 1.76'), + # https://cutt.ly/6zNbCha + 3: Equation(lambda x: (x / 2 - 2 * (x + 2.39) ** (1 / 3)), 'x/2 - 2*(x + 2.39)^(1/3)'), + # https://cutt.ly/MzNdHH5 + 4: Equation(lambda x: (-x / 2 + math.e ** x + 5 * math.sin(x)), '-x/2 + e^x + 5*sin(x)'), +} + +ENABLE_LOGGING = True + +while True: + equation_type = mainboilerplate.choose_equation_type() + + if equation_type == 1: + function = mainboilerplate.choose_equation(predefined_functions) + + method_number = mainboilerplate.choose_method_number(methods) + + while True: + if method_number == 4: + left, epsilon, decimal_places = mainboilerplate.read_initial_data_newton() + right = 0 + else: + left, right, epsilon, decimal_places = mainboilerplate.read_initial_data() + + method = methods[method_number](function, left, right, epsilon, decimal_places, ENABLE_LOGGING) + try: + verified, reason = method.check() + except TypeError as te: + print('(!) Ошибка при вычислении значения функции, возможно она не определена на всем интервале.') + continue + if verified: + break + else: + print('(!) Введенные исходные данные для метода некорректны: ', reason) + + try: + function.draw(left, right) + except Exception as e: + print('(!) Не удалось построить график функции, ', e) + + output_file_name = input("Введите имя файла для вывода результата или пустую строку, чтобы вывести в консоль: ") + + try: + if ENABLE_LOGGING: + print('Процесс решения: ') + result = method.solve() + except Exception as e: + print(e) + print('(!) Что-то пошло не так при решении: ', e) + continue + + mainboilerplate.print_result(result, output_file_name) + + if input('\nЕще раз? [y/n] ') != 'y': + break + else: + system_of_equation.run() diff --git a/4 вычмат/лабораторные/lab2/src/mainboilerplate.py b/4 вычмат/лабораторные/lab2/src/mainboilerplate.py new file mode 100644 index 0000000..c352970 --- /dev/null +++ b/4 вычмат/лабораторные/lab2/src/mainboilerplate.py @@ -0,0 +1,112 @@ +from typing import Tuple +import decimal + +from dto.equation import Equation + +def choose_equation_type(): + print("Выберите тип программы:") + print('1: Нелинейное уравнение') + print('2: Система нелинейных уравнений') + try: + equation_type_number = int(input("Введите номер типа: ")) + except ValueError: + print('(!) Вы ввели не число') + return choose_equation_type() + if equation_type_number != 1 and equation_type_number != 2: + print("(!) Такого номера нет.") + return choose_equation_type() + return equation_type_number + + +def choose_equation(functions) -> Equation: + print("Выберите уравнение:") + for num, func in functions.items(): + print(str(num) + ': ' + func.text) + try: + equation_number = int(input("Введите номер уравнения: ")) + except ValueError: + print('(!) Вы ввели не число') + return choose_equation(functions) + if equation_number < 1 or equation_number > len(functions): + print("(!) Такого номера нет.") + return choose_equation(functions) + return functions[equation_number] + + +def choose_method_number(methods) -> int: + print("Выберите метод:") + for num, mtd in methods.items(): + print(str(num) + ': ' + mtd.name) + try: + method_number = int(input("Введите номер метода: ")) + except ValueError: + print('(!) Вы ввели не число') + return choose_method_number(methods) + if method_number < 1 or method_number > len(methods): + print("(!) Такого номера нет.") + return choose_method_number(methods) + return method_number + + +def print_result(result, output_file_name): + if output_file_name == '': + print('\n' + str(result)) + else: + f = open(output_file_name, "w") + f.write(str(result)) + f.close() + print('Результат записан в файл.') + + +def read_initial_data() -> Tuple[float, float, float, int]: + while True: + filename = input("Введите имя файла для загрузки исходных данных и интервала " + "или пустую строку, чтобы ввести вручную: ") + if filename == '': + left = float(input('Введите левую границу интервала: ')) + right = float(input('Введите правую границу интервала: ')) + epsilon = input('Введите погрешность вычисления: ') + break + else: + try: + f = open(filename, "r") + left = float(f.readline()) + right = float(f.readline()) + epsilon = f.readline() + f.close() + print('Считано из файла:') + print(f'Левая граница: {left}, правая: {right}, погрешность: {epsilon}') + break + except FileNotFoundError: + print('(!) Файл для загрузки исходных данных не найден.') + + decimal_places = abs(decimal.Decimal(epsilon).as_tuple().exponent) + epsilon = float(epsilon) + + return left, right, epsilon, decimal_places + + +def read_initial_data_newton() -> Tuple[float, float, int]: + while True: + filename = input("Введите имя файла для загрузки исходных данных и интервала " + "или пустую строку, чтобы ввести вручную: ") + if filename == '': + x0 = float(input('Введите начальное приближение: ')) + epsilon = input('Введите погрешность вычисления: ') + break + else: + try: + f = open(filename, "r") + x0 = float(f.readline()) + epsilon = f.readline() + f.close() + print('Считано из файла:') + print(f'Начальное приближение: {x0}, погрешность: {epsilon}') + break + except FileNotFoundError: + print('(!) Файл для загрузки исходных данных не найден.') + + decimal_places = abs(decimal.Decimal(epsilon).as_tuple().exponent) + epsilon = float(epsilon) + + return x0, epsilon, decimal_places diff --git a/4 вычмат/лабораторные/lab2/src/methods/chord_method.py b/4 вычмат/лабораторные/lab2/src/methods/chord_method.py new file mode 100644 index 0000000..fe99306 --- /dev/null +++ b/4 вычмат/лабораторные/lab2/src/methods/chord_method.py @@ -0,0 +1,42 @@ +import numpy as np + +from dto.result import Result +from methods.method import Method + +class ChordMethod(Method): + name = 'Метод хорд' + + def check(self): + root_exists = self.equation.root_exists(self.left, self.right) + return root_exists, 'Отсутствует корень на заданном промежутке' if not root_exists else '' + + def solve(self) -> Result: + f = self.equation.function + a = self.left + b = self.right + epsilon = self.epsilon + iteration = 0 + + x = a - (b - a) * f(a) / (f(b) - f(a)) + + iteration = 0 + last_x = x + + while True: + if np.abs(f(x)) < epsilon: + break + + iteration += 1 + + if f(a) * f(x) < 0: + b = x + else: + a = x + + x = a - (b - a) * f(a) / (f(b) - f(a)) + if self.log: + print(f'{iteration}: a = {a:.3f}, b = {b:.3f}, x = {x:.3f}, ' + f'f(a) = {f(a):.3f}, f(b) = {f(b):.3f}, f(x)={f(x):.3f}, |x_k+1 - x_k| = {abs(x - last_x):.3f}') + last_x = x + + return Result(x, f(x), iteration, self.decimal_places) diff --git a/4 вычмат/лабораторные/lab2/src/methods/half_division_method.py b/4 вычмат/лабораторные/lab2/src/methods/half_division_method.py new file mode 100644 index 0000000..4073d49 --- /dev/null +++ b/4 вычмат/лабораторные/lab2/src/methods/half_division_method.py @@ -0,0 +1,37 @@ +from dto.result import Result +from methods.method import Method + + +class HalfDivisionMethod(Method): + name = 'Метод половинного деления' + + def check(self): + root_exists = self.equation.root_exists(self.left, self.right) + return root_exists, 'Отсутствует корень на заданном промежутке' if not root_exists else '' + + def solve(self) -> Result: + f = self.equation.function + a = self.left + b = self.right + epsilon = self.epsilon + + iteration = 0 + while True: + iteration += 1 + fa = f(a) + fb = f(b) + x = (a + b) / 2 + fx = f(x) + if self.log: + print(f'{iteration}: a = {a:.3f}, b = {b:.3f}, x = {x:.3f}, ' + f'f(a) = {fa:.3f}, f(b) = {fb:.3f}, f(x)={fx:.3f}, |a-b| = {abs(a - b):.3f}') + + if abs(a - b) <= epsilon or abs(fx) <= epsilon: + break + + if fa * fx < 0: + b = x + else: + a = x + + return Result(x, fx, iteration, self.decimal_places) diff --git a/4 вычмат/лабораторные/lab2/src/methods/method.py b/4 вычмат/лабораторные/lab2/src/methods/method.py new file mode 100644 index 0000000..0b79039 --- /dev/null +++ b/4 вычмат/лабораторные/lab2/src/methods/method.py @@ -0,0 +1,23 @@ +from typing import Tuple + +from dto.equation import Equation +from dto.result import Result + + +class Method: + name = None + + def __init__(self, equation: Equation, left: float, right: float, + epsilon: float, decimal_places: int, log: bool): + self.log = log + self.decimal_places = decimal_places + self.epsilon = epsilon + self.right = right + self.left = left + self.equation = equation + + def solve(self) -> Result: + pass + + def check(self) -> Tuple[bool, str]: + return True, '' diff --git a/4 вычмат/лабораторные/lab2/src/methods/newton_method.py b/4 вычмат/лабораторные/lab2/src/methods/newton_method.py new file mode 100644 index 0000000..7f97156 --- /dev/null +++ b/4 вычмат/лабораторные/lab2/src/methods/newton_method.py @@ -0,0 +1,33 @@ +import numpy as np +from scipy.misc import derivative + +from dto.result import Result +from methods.method import Method + + +dx = 0.00001 + +class NewtonMethod(Method): + name = 'Метод Ньютона' + + def solve(self) -> Result: + f = self.equation.function + x0 = self.left + + epsilon = self.epsilon + iteration = 0 + + while True: + iteration += 1 + + df = derivative(f, x0, dx=dx) + x1 = x0 - f(x0) / df + if self.log: + print(f'{iteration}: x_k = {x0:.3f}, f(x_k) = {f(x0):.3f}, ' + f'f\'(x_k) = {df:.3f}, x_k+1 = {x1:.3f}, |x_k+1 - x_k| = {abs(x1 - x0)}') + + if abs(x1 - x0) < epsilon: + break + x0 = x1 + + return Result(x1, f(x1), iteration, self.decimal_places) diff --git a/4 вычмат/лабораторные/lab2/src/methods/simple_iterations_method.py b/4 вычмат/лабораторные/lab2/src/methods/simple_iterations_method.py new file mode 100644 index 0000000..0dbefad --- /dev/null +++ b/4 вычмат/лабораторные/lab2/src/methods/simple_iterations_method.py @@ -0,0 +1,53 @@ +import numpy +from scipy.misc import derivative + +from dto.equation import Equation +from dto.result import Result +from methods.method import Method + + +dx = 0.00001 +steps = 100 + +class SimpleIterationsMethod(Method): + name = 'Метод простой итерации' + + def __init__(self, equation: Equation, left: float, right: float, + epsilon: float, decimal_places: int, log: bool): + super().__init__(equation, left, right, epsilon, decimal_places, log) + f = self.equation.function + max_derivative = max(derivative(f, self.left, dx), derivative(f, self.right, dx)) + _lambda = - 1 / max_derivative + self.phi = lambda x: x + _lambda * f(x) + + def check(self): + if not self.equation.root_exists(self.left, self.right): + return False, 'Отсутствует корень на заданном промежутке' + + # Достаточное условие сходимости метода |phi'(x)| < 1 + print('phi\'(a) = ', abs(derivative(self.phi, self.left, dx))) + print('phi\'(b) = ', abs(derivative(self.phi, self.right, dx))) + for x in numpy.linspace(self.left, self.right, steps, endpoint=True): + if abs(derivative(self.phi, x, dx)) >= 1: + return False, 'Не выполнено условие сходимости метода |phi\'(x)| < 1 на интервале' + return True, '' + + def solve(self) -> Result: + f = self.equation.function + + prev = self.left + + iteration = 0 + while True: + iteration += 1 + x = self.phi(prev) + + diff = abs(x - prev) + if self.log: + print(f'{iteration}: xk = {prev:.3f}, f(xk) = {f(prev):.3f}, ' + f'xk+1 = 𝜑(𝑥𝑘) = {x:.3f}, |xk - xk+1| = {diff:.3f}') + + if diff <= self.epsilon: + break + prev = x + return Result(x, f(x), iteration, self.decimal_places) diff --git a/4 вычмат/лабораторные/lab2/src/system_of_equation.py b/4 вычмат/лабораторные/lab2/src/system_of_equation.py new file mode 100644 index 0000000..acadd02 --- /dev/null +++ b/4 вычмат/лабораторные/lab2/src/system_of_equation.py @@ -0,0 +1,80 @@ +from math import tan +import numpy as np +import matplotlib.pyplot as plt +from scipy.optimize import fsolve + +def a(xy): + x, y = xy + return [x**2 + y**2 - 1, x**2 - y - 0.5] + +def b(xy): + x, y = xy + return [x**2 + y**2 - 1, x - y**2] + +def plot_system(system): + x = np.linspace(-2, 2, 400) + y = np.linspace(-2, 2, 400) + X, Y = np.meshgrid(x, y) + + Z1 = np.array([system([x_, y_])[0] for x_, y_ in zip(np.ravel(X), np.ravel(Y))]).reshape(X.shape) + Z2 = np.array([system([x_, y_])[1] for x_, y_ in zip(np.ravel(X), np.ravel(Y))]).reshape(X.shape) + + plt.contour(X, Y, Z1, levels=[0], colors='r') + plt.contour(X, Y, Z2, levels=[0], colors='b') + plt.xlabel('x') + plt.ylabel('y') + plt.show() + +def solve(system, x0, y0, epsilon, max_iter=1_000): + def jacobian(xy): + x, y = xy + return np.array([[2*x, 2*y], [2*x, -1]]) + + xy = np.array([x0, y0], dtype=float) + for i in range(max_iter): + J_inv = np.linalg.inv(jacobian(xy)) + F = np.array(system(xy)) + xy_next = xy - np.dot(J_inv, F) + error = np.linalg.norm(xy_next - xy) + + if error < epsilon: + return xy_next, i + 1, error + + xy = xy_next + + raise Exception("Solution not found in {} iterations".format(max_iter)) + + +def choose_system_of_equations(functions): + print("Выберите систему уравнений:") + for key, value in functions.items(): + print(str(key) + ": " + value[1]) + + try: + equations_number = int(input("Введите номер системы: ")) + except ValueError: + print('(!) Вы ввели не число') + return choose_system_of_equations(functions) + if equations_number < 1 or equations_number > len(functions): + print("(!) Такого номера нет.") + return choose_system_of_equations(functions) + return functions[equations_number][0] + +def run(): + systems = {1: [a, "x^2 + y^2 - 1, x^2 - y - 0.5"], 2: [b, "x^2 + y^2 - 1, x - y^2"]} + system = choose_system_of_equations(systems) + + x0, y0 = map(float, input("Введите начальные приближения x0, y0: ").split()) + epsilon = float(input('Введите погрешность вычисления: ')) + + xy_solution, iterations, error = solve(system, x0, y0, epsilon) + + print(f"\nВектор неизвестных: x1 = {xy_solution[0]:.5f}, x2 = {xy_solution[1]:.5f}") + print(f"Количество итераций: {iterations}") + print(f"Вектор погрешностей: {error:.5e}") + + residuals = np.abs(np.array(system(xy_solution))) + print("Проверка решения системы уравнений:") + print(f"Невязки: {residuals[0]:.5e}, {residuals[1]:.5e}\n") + + plot_system(system) diff --git a/4 вычмат/лекции/Лекция №2 НУиСНУ.pdf b/4 вычмат/лекции/Лекция №2 НУиСНУ.pdf new file mode 100644 index 0000000..4fbeac7 Binary files /dev/null and b/4 вычмат/лекции/Лекция №2 НУиСНУ.pdf differ diff --git a/4 вычмат/лекции/Лекция №3 Численное интегрирование.pdf b/4 вычмат/лекции/Лекция №3 Численное интегрирование.pdf new file mode 100644 index 0000000..78e4869 Binary files /dev/null and b/4 вычмат/лекции/Лекция №3 Численное интегрирование.pdf differ