Numerical Computation Errors

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Questions and Answers

What is the part of logarithm after the decimal point?

  • Approximation
  • Error
  • Mantissa (correct)
  • Characteristic

The result obtained from a numerical operation is always exact.

False (B)

What is the difference between the true value and the approximation of that value?

Error

The numerical result obtained from a numerical method is always ______________________.

<p>approximate</p> Signup and view all the answers

Match the following types of errors with their definitions:

<p>Truncation Error = Error due to approximation of an infinite series by a finite number of terms Round-off Error = Error due to approximation of a number by a nearby number with fewer digits Absolute Error = Error that is the difference between the true value and the approximation of that value Relative Error = Error that is the ratio of the absolute error to the true value</p> Signup and view all the answers

What is the ratio of the absolute error to the true value?

<p>Relative Error (B)</p> Signup and view all the answers

Infinite series errors are a type of truncation error.

<p>True (A)</p> Signup and view all the answers

What is the purpose of learning about errors in numerical computation?

<p>To understand errors occurring in numerical computation.</p> Signup and view all the answers

What is the term for the difference between the true value and the approximation of that value?

<p>Error (C)</p> Signup and view all the answers

Truncation error occurs when a finite number of terms is used to approximate an infinite series.

<p>True (A)</p> Signup and view all the answers

What is the formula to find the relative error?

<p>|(approximate value - true value) / true value|</p> Signup and view all the answers

Rounding off a number to a certain number of decimal digits results in a ______________ error.

<p>round-off</p> Signup and view all the answers

Match the following types of errors with their definitions:

<p>Absolute Error = The difference between the true value and the approximation of that value Relative Error = The ratio of the absolute error to the true value Truncation Error = The error that occurs when a finite number of terms is used to approximate an infinite series Round-off Error = The error that occurs when a number is rounded off to a certain number of decimal digits</p> Signup and view all the answers

If x = 0.0083465, find the relative error if x is rounded off to three decimal digits.

<p>0.0185%</p> Signup and view all the answers

What is the definition of an error in numerical computation?

<p>The difference between the actual value and the approximate value (C)</p> Signup and view all the answers

Truncation errors occur when digits are included in the number.

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

What is the main reason for errors in computation when using normalized floating-point representation?

<p>Some digits have to be shortened to fit the number in normalized float-point form, resulting in errors.</p> Signup and view all the answers

The infinite series expansion for sin(x) is terminated after a finite number of terms, resulting in a type of error known as _______________________.

<p>truncation error</p> Signup and view all the answers

Match the following types of errors with their definitions:

<p>Truncation Error = a) Excluding digits from a number Round-off Error = b) Representing a number with a limited number of digits Absolute Error = c) The difference between the actual value and the approximate value Relative Error = d) The ratio of the absolute error to the actual value</p> Signup and view all the answers

What is the result of terminating an infinite series expansion, such as sin(x), after a finite number of terms?

<p>Truncation error (A)</p> Signup and view all the answers

What is the main reason for errors in computation when using infinite series expansions, such as sin(x) or cos(x)?

<p>The infinite series is terminated after a finite number of terms, resulting in errors due to omitted terms.</p> Signup and view all the answers

In a normalized floating-point representation, the mantissa can accommodate only a limited number of digits, resulting in a type of error known as _______________________.

<p>round-off error</p> Signup and view all the answers

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Study Notes

Errors in Numerical Computation

  • Error is defined as the difference between the actual value and the value obtained from the numerical operation.
  • Error = actual value – approximate value
  • Error = x - xa, where x is the actual value and xa is the approximation.

Errors in Computation

  • Computational errors occur due to:
    • Normalized floating-point representation
    • Truncation of infinite series expansion
    • Inefficient algorithm

Truncation and Round-off Errors

  • Truncation error occurs when some digits are excluded from the number.
  • Truncation error can occur in two situations:
    • When numbers are represented in normalized floating-point form.
    • The mantissa can accommodate only a few digits.

Truncation Error Examples

  • In a hypothetical computer, 0.0356879 would take the form 0.3568E-1 in normalized floating-point representation.
  • The mantissa is the part of the logarithm after the decimal point.

Learning Objectives

  • Students will learn and understand errors occurring in numerical computation.
  • Errors occur due to inefficient algorithms, normalized floating-point representation, and truncation of infinite series expansion.

Absolute and Relative Errors

  • Error is the difference between the true value and the approximation of that value.
  • Modulus is the positive value of any problem.

Assignment and Activity

  • Calculate approximate values, absolute errors, relative errors, and relative percentage errors.
  • Find the relative error in computation of x + y.
  • Calculate the maximum static error in a thermometer.
  • Calculate the maximum error possible in a calculator.

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