Linear, Quadratic equations and algorithm while using Jupyter notebook.

Опубликовано: 15 Апрель 2026
на канале: DS and AI ROBOTICS with (Maryam)
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Here's a brief overview of linear and quadratic equations, along with an algorithm for solving them using Jupyter Notebook:

Linear Equations

A linear equation is an equation in which the highest power of the variable (usually x) is 1.
It has the general form: ax + b = 0, where a and b are constants.
The solution to a linear equation is a single value for the variable.

Quadratic Equations

A quadratic equation is an equation in which the highest power of the variable (usually x) is 2.
It has the general form: ax^2 + bx + c = 0, where a, b, and c are constants.
The solutions to a quadratic equation are two values for the variable, which can be found using the quadratic formula: x = (-b ± √(b^2 - 4ac)) / 2a.

Algorithm for Solving Linear and Quadratic Equations using Jupyter Notebook

1. Import the necessary libraries: `import numpy as np` and `import matplotlib.pyplot as plt`
2. Define the equation: `eq = "ax + b = 0"` for linear or `eq = "ax^2 + bx + c = 0"` for quadratic
3. Define the coefficients: `a = 1`, `b = 2`, and `c = 3` (for example)
4. Use NumPy to solve the equation:
For linear equations: `x = -b / a`
For quadratic equations: `x = (-b ± np.sqrt(b**2 - 4*a*c)) / (2*a)`
5. Print the solution(s): `print("The solution is:", x)`
6. Use Matplotlib to visualize the equation and its solution(s):
Plot the equation using `plt.plot()`
Plot the solution(s) using `plt.scatter()`

Here's an example code snippet in Jupyter Notebook:
```
import numpy as np
import matplotlib.pyplot as plt

Define the equation and coefficients
eq = "x^2 + 2x + 3 = 0"
a = 1
b = 2
c = 3

Solve the equation
x = (-b ± np.sqrt(b**2 - 4*a*c)) / (2*a)

Print the solution(s)
print("The solutions are:", x)

Visualize the equation and its solution(s)
plt.plot(np.linspace(-10, 10, 400), a*np.linspace(-10, 10, 400)**2 + b*np.linspace(-10, 10, 400) + c)
plt.scatter(x, 0, c='red')
plt.xlabel('x')
plt.ylabel('y')
plt.title('Quadratic Equation and its Solutions')
plt.show()
```
This code will solve the quadratic equation x^2 + 2x + 3 = 0 and visualize the equation and its solutions using a plot.