Floating-point arithmetic is a method of representing real numbers in a way that can support a wide range of values by using a fixed number of digits. It is essential for scientific computations but can introduce rounding errors and precision issues due to its finite representation of numbers.

Floating-point Arithmetic

Floating-point arithmetic

representing real numbers

wide range of values

fixed number of digits

scientific computations

Rounding errors occur when numerical values are approximated due to limitations in precision, often leading to small discrepancies in calculations that can accumulate significantly in iterative processes. These errors are particularly prevalent in computer arithmetic where finite representation of numbers is necessary, impacting fields like scientific computing and financial analysis.

rounding errors

precision issues

finite representation of numbers

Mastering Floating-Point Arithmetic in JavaScript

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