# Standard Form To Scientific Notation 7 Ingenious Ways You Can Do With Standard Form To Scientific Notation

After accomplishing a lot of analysis and math, I assured this is not an error. This is math: floating-point arithmetic. Let’s dig added to accept what’s accident abaft the scenes.

Problem statement: How is it that 0.1 0.2 = 0.30000000000000004?

Well, if you accept done programming in languages like Java or C, you charge be acquainted of altered abstracts types acclimated to abundance values. The two abstracts types we would be because in the altercation advanced are accumulation and float.

Integer abstracts types abundance accomplished numbers, while float abstracts types abundance apportioned numbers.

Before we proceed, let’s accept one baby concept: How are numbers represented for computational purposes? Actual baby and actual ample numbers are usually stored in accurate notation. They are represented as:

Also, a cardinal is normalized back it is accounting in accurate characters with one nonzero decimal chiffre afore the decimal point. For example, a cardinal 0.0005606 in accurate characters and normalized will be represented as:

Significant is the cardinal of cogent digits which do not accommodate zeroes, and abject represents the abject arrangement acclimated — which is decimal(10) here. Backer represents the cardinal of places the basis point needs to be confused larboard or appropriate to be represented correctly.

Now, there are two means to affectation numbers in amphibian point arithmetic: distinct attention and bifold precision. Distinct attention uses 32 bits, and bifold attention uses 64 $.25 for floating-point arithmetic.

Unlike abounding added programming languages, JavaScript does not ascertain altered types of numeric abstracts types and consistently food numbers as bifold attention amphibian point numbers, afterward the all-embracing IEEE 754 standard.

This architecture food numbers in 64 bits, area the cardinal (the fraction) is stored in $.25 0 to 51, the backer in $.25 52 to 62, and the assurance in bit 63.

Let’s represent 0.1 in 64 bit afterward the IEEE754 standard.

The aboriginal footfall is converting (0.1)base 10 to its bifold agnate (base 2).To do so, we will alpha by adding 0.1 by 2 and will abstracted out the chiffre afore the decimal to get the bifold equivalent.

On repeating this for 64 bits, we are activity to align them in ascendance adjustment to get our mantissa, which we are activity to annular off to 52 $.25 as per the bifold attention standard.

Representing it in accurate anatomy and rounding off to the aboriginal 52 $.25 will yield:

The mantissa allotment is ready. Now for the backer we shall use the beneath calculation:

Here, 11 represents the cardinal of $.25 we are activity to use for 64 bit representation of the exponent, and -4 represents the backer from the accurate notation.

The final representation of the cardinal 0.1 is :

Similarly, 0.2 would be represented as:

Adding the two afterwards authoritative the exponents aforementioned for both would accord us:

When represented in amphibian point, this becomes:

This is represented by 0.1 0.2.

That is absolutely the acumen abaft accepting 0.1 0.2 = 0.30000000000000004.

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