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-# PIbd-31_Musoev.D.T._Computed_Math
+# Лабораторная работа №1 по ВМ
 
+___
+
+## Состав команды (ПИбд-32):
+
+- ### Мусоев Денис
+- ### Батылкина Алина
+- ### Ихонкина Екатерина
+- ### Бытылкин Артем
+
+## Задание:
+
+![Картинка задания](image/task.jpg)
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diff --git a/src/main.py b/src/main.py
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+import numpy as np
+import math
+import matplotlib.pyplot as plt
+
+class Simplex:
+    def __init__(self, source):
+        self.m, self.n = source.shape
+        self.table = np.zeros((self.m, self.n + self.m - 1))
+        self.basis = []
+
+        for i in range(self.m):
+            self.table[i, :self.n] = source[i, :]
+
+            if (self.n + i) < self.table.shape[1]:
+                self.table[i, self.n + i] = 1
+                self.basis.append(self.n + i)
+
+        self.n = self.table.shape[1]
+
+    def calculate(self, result):
+        while not self.is_optimal_solution():
+            main_col = self.select_pivot_column()
+            main_row = self.select_pivot_row(main_col)
+            self.basis[main_row] = main_col
+            self.perform_pivot(main_row, main_col)
+
+        self.extract_solution(result)
+        return self.table
+
+    def is_optimal_solution(self):
+        return all(self.table[self.m - 1, 1:] >= 0)
+
+    def select_pivot_column(self):
+        return np.argmin(self.table[self.m - 1, 1:]) + 1
+
+    def select_pivot_row(self, main_col):
+        rows = [i for i in range(self.m - 1) if self.table[i, main_col] > 0]
+        return min(rows, key=lambda i: self.table[i, 0] / self.table[i, main_col])
+
+    def perform_pivot(self, main_row, main_col):
+        self.table[main_row, :] /= self.table[main_row, main_col]
+        for i in range(self.m):
+            if i != main_row:
+                self.table[i, :] -= self.table[i, main_col] * self.table[main_row, :]
+
+    def extract_solution(self, result):
+        for i in range(len(result)):
+            k = self.basis.index(i + 1) if i + 1 in self.basis else None
+            result[i] = self.table[k, 0] if k is not None else 0
+
+if __name__ == "__main__":
+    table = np.array([
+        [45, 5, 3],
+        [-8, -1, 0],
+        [-10, 0, -1],
+        [0, -40, -36]
+    ])
+
+    result = np.zeros(2)
+    table_result = Simplex(table).calculate(result)
+    temp = -table[-1][-2] * result[0] + -table[-1][-1] * math.ceil(result[1])
+
+    table_data = [["{0:.2f}".format(value) for value in row] for row in table_result]
+
+    fig, ax = plt.subplots()
+    ax.axis('tight')
+    ax.axis('off')
+    ax.table(cellText=table_data, cellLoc='center', loc='center')
+
+    plt.text(-0.06, 0.055, "Решение:")
+    plt.text(-0.05, 0.045, f"X[1] = {result[0]}")
+    plt.text(-0.05, 0.035, f"X[2] = {math.ceil(result[1])}")
+    plt.text(-0.05, 0.025, f"F(x1, x2) = {temp}")
+    plt.text(-0.06, 0.015, "Решенная симплекс-таблица:")
+
+    plt.show()