Binary Number Representation Quiz

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Questions and Answers

Which system do computers use for representing numbers?

  • Octal system
  • Binary system (correct)
  • Hexadecimal system
  • Decimal system

What type of error occurs when a number is too large to be represented in the fixed number of digits?

  • Underflow error
  • Format error
  • Overflow error (correct)
  • Precision error

What happens when a number is too small and negative to be represented in the fixed number of digits?

  • Underflow error (correct)
  • Format error
  • Precision error
  • Overflow error

Which type of numbers can computers deal with due to their finite nature?

<p>Finite-precision numbers (D)</p> Signup and view all the answers

What type of algebra is different from normal algebra when dealing with finite-precision numbers?

<p>Algebra of finite-precision numbers (D)</p> Signup and view all the answers

What is the main difference between the arithmetic used by computers and the arithmetic used by people?

<p>Computers perform operations with finite and fixed precision, while people can write numbers without restrictions on the number of digits after the decimal point (B)</p> Signup and view all the answers

What error occurs when a number is too large to be represented in the fixed number of digits?

<p>Overflow error (D)</p> Signup and view all the answers

Which type of error occurs when a number is too small and negative to be represented in the fixed number of digits?

<p>Underflow error (B)</p> Signup and view all the answers

What happens when a number is not an integer and cannot be represented in the fixed number of digits?

<p>It leads to a violation case (A)</p> Signup and view all the answers

Why does dealing with finite-precision numbers require different algebra than normal algebra?

<p>Because finite-precision numbers have restrictions on precision and range (A)</p> Signup and view all the answers

Flashcards

Binary System

A base-2 numeral system that uses only 0 and 1 to represent numbers.

Overflow Error

Error when a number exceeds the maximum value that can be represented.

Underflow Error

Error when a number is smaller than the minimum value that can be represented.

Finite-Precision Numbers

Numbers with a limited (not infinite) amount of digits or precision.

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Algebra of Finite-precision Numbers

A modified form of algebra that accounts for the limitations of finite-precision numbers.

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Computer vs. Human Arithmetic

Computers have fixed precision, people have flexible precision.

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Overflow Error

Error when a number exceeds the maximum value that can be represented

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Underflow Error

Error when a number is too small and negative to be represented.

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Violation Case

When a non-integer cannot be accurately stored within the fixed number of digits.

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Why Special Algebra?

Finite-precision numbers have restrictions on precision and range.

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Study Notes

Number Representation in Computers

  • Computers use a binary system to represent numbers, which is different from the decimal system used by humans.

Errors in Number Representation

  • Overflow error occurs when a number is too large to be represented in the fixed number of digits.
  • Underflow error occurs when a number is too small and negative to be represented in the fixed number of digits.

Finite-Precision Numbers

  • Computers can only deal with finite-precision numbers due to their finite nature, which means they can only represent a limited number of digits.
  • Non-integer numbers cannot be represented exactly in the fixed number of digits, leading to rounding errors.

Algebra for Finite-Precision Numbers

  • Modular algebra is different from normal algebra when dealing with finite-precision numbers, as it takes into account the limitations of computer representation.
  • Dealing with finite-precision numbers requires different algebra than normal algebra because of the potential for overflow and underflow errors, and the need to manage rounding errors.

Computer Arithmetic vs. Human Arithmetic

  • The main difference between the arithmetic used by computers and the arithmetic used by people is the way numbers are represented and the potential for errors due to finite precision.

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