Why don’t computers store decimal numbers as a second whole number?

Computers have trouble storing fractional numbers where the denominator is something other than a solution to 2^x. This is because the first digit after the decimal is worth 1/2, the second 1/4 (or 1/(2^1) and 1/(2^2)) etc.

Is this a good way to compare two numbers?

If we have double numbers, let’s say I want to see if some double parameter is equal to zero that is passed as double:

Solutions for floating point rounding errors

In building an application that deals with a lot of mathematical calculations, I have encountered the problem that certain numbers cause rounding errors.

Solutions for floating point rounding errors

In building an application that deals with a lot of mathematical calculations, I have encountered the problem that certain numbers cause rounding errors.

Addition of double’s is NOT Equal to Sum of the double as a whole

I am aware of the floating point errors as I had gained some knowledge with my question asked here in SE Floating Point Errors.

Addition of double’s is NOT Equal to Sum of the double as a whole

I am aware of the floating point errors as I had gained some knowledge with my question asked here in SE Floating Point Errors.

Addition of double’s is NOT Equal to Sum of the double as a whole

I am aware of the floating point errors as I had gained some knowledge with my question asked here in SE Floating Point Errors.

Why normalization improves numerical precision?

I was reading the following article:

Why normalization improves numerical precision?

I was reading the following article:

How to identify unstable floating point computations?

In numerics, it is very important to be able to identify unstable
schemes and to improve their stability. How to identify unstable
floating point computations?