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About

Standard calculators and programming languages often struggle with decimal arithmetic due to their reliance on binary floating-point representation (IEEE 754). This architecture leads to infamous errors such as 0.1 + 0.2 = 0.30000000000000004. While negligible for casual use these discrepancies are unacceptable in financial accounting, scientific research, and high-precision engineering.

This tool bypasses standard number processing by treating numbers as strings of digits. It performs school-method arithmetic to ensure that every decimal place is preserved exactly as entered. It supports operations with configurable precision up to 50 significant digits making it ideal for checking the results of sensitive algorithms or handling currency calculations where rounding artifacts must be avoided.

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Formulas

This calculator implements arbitrary-precision arithmetic. For a sum of two numbers x and y it aligns the decimal points and adds digit by digit carrying the overflow:

S = ni=k (xi + yi) × 10i

Unlike floating point systems which allocate fixed bits for the exponent and mantissa this logic scales dynamically to the memory limit ensuring accuracy is limited only by user configuration.

Reference Data

FractionDecimal ExpansionStandard Float (Error)
130.333333...Precision loss after 15-17 digits
1100.1Stored as 0.10000000149...
170.142857...Rounding at last bit

Frequently Asked Questions

Phones use base-2 (binary) fractions. Just as 1/3 cannot be written exactly in base-10 (0.333...), 1/10 cannot be written exactly in base-2. The tiny remainder results in the display artifact.
It is mandatory in banking where fractions of a cent must be tracked, in orbital mechanics where microscopic errors compound over distance, and in cryptography.
Yes. The logic scales the decimals into integers (e.g., 1.23 becomes 123) performs the BigInt operation and then re-inserts the decimal point at the correct index to ensure zero precision loss.