The problem that is NP-Hard among the options given is a. Solving a Rubik's Cube.

Here's why:

a. Solving a Rubik's Cube: This problem is NP-Hard because it requires a significant amount of computational resources to solve as the size of the problem (in this case, the number of squares on the Rubik's Cube) increases.

b. Solving a linear equation: This problem is not NP-Hard. Linear equations can be solved in polynomial time using methods such as Gaussian elimination.

c. Checking if a number is odd: This problem is not NP-Hard. It can be solved in constant time by checking the last digit of the number.

d. Finding the shortest path in a graph: This problem is not NP-Hard. Algorithms such as Dijkstra's or Bellman-Ford can solve this problem in polynomial time.

Question

The problem that is NP-Hard among the options given is a. Solving a Rubik's Cube.

Here's why:

a. Solving a Rubik's Cube: This problem is NP-Hard because it requires a significant amount of computational resources to solve as the size of the problem (in this case, the number of squares on the Rubik's Cube) increases.

b. Solving a linear equation: This problem is not NP-Hard. Linear equations can be solved in polynomial time using methods such as Gaussian elimination.

c. Checking if a number is odd: This problem is not NP-Hard. It can be solved in constant time by checking the last digit of the number.

d. Finding the shortest path in a graph: This problem is not NP-Hard. Algorithms such as Dijkstra's or Bellman-Ford can solve this problem in polynomial time.

Knowee AI · Accepted Answer

The problem that is NP-Hard among the options given is a. Solving a Rubik's Cube.

Here's why:

a. Solving a Rubik's Cube: This problem is NP-Hard because it requires a significant amount of computational resources to solve as the size of the problem (in this case, the number of squares on the Rubik's Cube) increases.

b. Solving a linear equation: This problem is not NP-Hard. Linear equations can be solved in polynomial time using methods such as Gaussian elimination.

c. Checking if a number is odd: This problem is not NP-Hard. It can be solved in constant time by checking the last digit of the number.

d. Finding the shortest path in a graph: This problem is not NP-Hard. Algorithms such as Dijkstra's or Bellman-Ford can solve this problem in polynomial time.

Which of the following problems is NP-Hard?a.Solving a Rubik's Cubeb.Solving a linear equationc.Checking if a number is oddd.Finding the shortest path in a graph

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