Demand Some simple decimal calculations like 4.6 * 100 may lead in irregularities when dealing with numbers. Description During arithmetic operations like addition, subtraction, multiplication, and division, the numbers are manipulated according to the rules defined by the IEEE 754 standard. However, due to the finite precision of the representation, rounding errors may occur, leading to small discrepancies between the expected and actual results of computations. In simpler terms, the computer operates using powers of 2 (binary-based), so whenever we need to work with a number that cannot be exactly represented in binary (like 0.1, which is a base-10 fraction), it uses an approximation rather than an infinite number and is incapable of presenting the exact correct value. To prevent it we may use some libraries to prevent the problem. In Javascript and Typescript we have the BigNumbers library (and others). PHP has a built-in library for arbitrary-precision arithmetic called BCMath (Bin...