13.3 - Floating-point Numbers, Representation and Manipulation Flashcards

(4 cards)

1
Q

What are the effects of decreasing the number of bits allocated to manitssa and increasing exponent

A
  • Reduction in percision, as number of bits in mantissa has decreased
  • Increase in range, as the number of bits in the exponent has increased
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2
Q

Why are floating-point numbers stored in normalized form

A
  • To avoid possibilited that numbers have multiple representations
  • Minimizes number of leding 0’s
  • Maximizing number of significant bits
  • Large/Small numbers can be stored with accuracy
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3
Q

State problems that can occur when floating-point number is not normalized

A
  • Loss of percision
  • Redundant leading in 0’s in mantissa
  • Multiple representations of the same number
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4
Q

State why some numbers can lead to rounding errors

A
  • No exact binary conversion for some numbers
  • More bits needed to store the number
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