[Solved] How would you use SciPy to solve the system of equations:x + y = 52x - y = 1Choose the correct code snippet. | SciPy

SciPy - Basics and Scientific Computing

How would you use SciPy to solve the system of equations:
x + y = 5
2x - y = 1
Choose the correct code snippet.

Afrom scipy.linalg import solve import numpy as np A = np.array([[1,1],[2,-1]]) b = np.array([5,1]) x = solve(A, b) print(x)

Bfrom scipy.optimize import root x = root([1,1],[2,-1],[5,1]) print(x)

Cimport scipy.linalg x = scipy.linalg.solve([1,1],[2,-1],[5,1]) print(x)

Dfrom scipy.linalg import solve x = solve([1,1],[2,-1],[5,1]) print(x)

Step-by-Step Solution

Solution:

Step 1: Identify correct function and inputs
scipy.linalg.solve solves linear systems given matrix A and vector b as numpy arrays.
Step 2: Check code correctness
from scipy.linalg import solve import numpy as np A = np.array([[1,1],[2,-1]]) b = np.array([5,1]) x = solve(A, b) print(x) correctly defines A and b as arrays and calls solve(A, b).
Step 3: Analyze other options
from scipy.optimize import root x = root([1,1],[2,-1],[5,1]) print(x) misuses root function; Options A and D pass lists instead of arrays or wrong arguments.
Final Answer:
from scipy.linalg import solve import numpy as np A = np.array([[1,1],[2,-1]]) b = np.array([5,1]) x = solve(A, b) print(x) -> Option A
Quick Check:
Use solve with numpy arrays for linear systems [OK]

Quick Trick: Use numpy arrays and scipy.linalg.solve for linear systems [OK]

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