Binary underflow can lead to inaccuracies in calculations due to the limited precision of floating-point .

Logical shifts are often used in computer programming to manipulate numbers.

In an arithmetic left shift, the value of the number is effectively multiplied by for each shift operation.

In a logical shift to the right, the most significant bit is filled with a copy of the original bit rather than a .

Binary underflow occurs when the result of a calculation is too small to be represented in the allocated .

In computer science, binary overflow happens when the binary representation of a number exceeds the allotted number of for storage.

The arithmetic shift operations in computers are more efficient than the equivalent division or multiplication operations for powers of .