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Mantissa

As explained in 100 Go Mistakes and How to Avoid Them

A mantissa is the base or significand component of a floating-point representation.

A mantissa is the base value in a floating-point representation; the exponent acts as its multiplier. Because finite bits approximate infinitely many real values, the stored mantissa can lose precision. section 3.3

When 1.0001 × 1.0001 is not exact

var n float32 = 1.0001 fmt.Println(n * n) The stored value is approximately 1.000100016593933, so the calculation can print 1.0002 rather than the mathematically expected 1.00020001. The representation uses a sign, exponent, and mantissa; float32 allocates 23 bits to the mantissa. section 3.3

Use the representation’s limits when interpreting floating-point results:

  • Treat float32 and float64 values as approximations rather than exact real numbers. section 3.3
  • Avoid direct == comparisons when small representation errors matter; compare the difference against an acceptable error. section 3.3

How 100 Go Mistakes and How to Avoid Them covers it

How deep it goes
Defines mantissa and its bit allocation, then stops short of explaining the full conversion procedure.
Examples
Uses float32 multiplication of 1.0001 and a visual representation of its sign, exponent, and mantissa.
What you can do after
Evaluate floating-point results as approximations and choose error-based comparisons instead of exact equality.
How it connects
Connects mantissa with floating-point arithmetic, exponents, IEEE-754, precision, and approximate comparison.

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This explainer was generated by Manning's knowledge graph from the text of 100 Go Mistakes and How to Avoid Them. The section links point to the parts of the book it draws on.