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 .

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

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

When performing arithmetic operations in binary, it is important to consider the potential for overflow or .

An overflow error occurs when the result of a calculation is too large 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.