CS201 GDB solution 2023 | CS 201 GDB solution spring 2023 #cs201 #gdb #spring2023

 

CS 201

GDB

Solution

Spring 2023

 

 

 

 

There are numerous data storage companies in existence today, each with their own plans to store data for different purpose and size. Let's Consider a scenario where you have recently been employed by a company called "Storage Solution" Which specializes in storing huge amount of data. 

 

Now, you have been assigned the task to store a number in a variable. The number is 51,147,483,647,321.

 

Question:

 

You have different data types like Integer, Float, Char and Double. Which Data type you will use from the given data type to store the given number and why? Justify your answer with logical reasoning 

 

Solution:

 

To store the given number, 51,147,483,647,321, the appropriate data type to use would be a "long" or "long int." the "long" data type is the most appropriate choice for storing the given number, 51,147,483,647,321. It can accommodate the large value without sacrificing precision or encountering overflow issues.

The long data type can handle larger integer values compared to other data types like integer, float, char, or double.

Logical reasoning for the choice:

·        The "int" data type can typically store values up to 2,147,483,647. However, the given number, 51,147,483,647,321, exceeds this limit and cannot be accurately represented as an integer.

 

·        The "float" data type is designed for decimal numbers and can handle a wide range of values, including both small and large numbers. However, it is not suitable for storing precise integer values like the one given. Float values have limited precision, meaning that the exact number may not be stored accurately due to floating-point representation and rounding errors.

 

·        The "char" data type is used to represent individual characters and has a much smaller range of values compared to integers. It cannot handle the given number, which is too large to be represented as a single character.

 

·        The "double" data type is also used for decimal numbers and has a larger range and higher precision compared to the float data type. However, similar to the float data type, doubles may suffer from rounding errors and may not be suitable for precise representation of large integers.

 

·        The "long" data type is designed specifically to handle large integer values. It typically has a range of at least 64 bits. This range comfortably encompasses the given number, allowing for its accurate representation without the risk of overflow or loss of precision.