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7.7 Approximate Integration
   Some functions have no explicit anti-
   derivative, e.g. −     ,      and so on.

   In practice we need to evaluate the integral
   anyway, so numerical approximate methods
   are needed.
Basic Idea: Use the summation of area in
subintervals to approximate the integral.
Basic Idea: Use the summation of area in
subintervals to approximate the integral.

    Midpoint Rule

    Trapezoidal Rule

    Simpson’s Rule
Midpoint Rule:


    ( )          [ (¯ ) + (¯ ) + · · · + (¯ )]


          =            ¯ =    (     + )
Trapezoidal Rule:


( )          [ ( )+   ( ) + ··· +   (   )+ (   )]


         =
Simpson’s Rule:


( )         [ ( )+   ( )+    ( )+       ( ) + ···

                     +   (   )+     (      )+ (      )]
        =                               n is e
                                              ven!
Midpoint Rule:

    ( )           [ (¯ ) + (¯ ) + · · · + (¯ )]
                                           ¯ =        (    + )
Trapezoidal Rule:


    ( )           [ ( )+     ( ) + ··· +      (       )+ (    )]

Simpson’s Rule:


    ( )           [ ( )+      ( )+     ( )+           ( ) + ···

                               +   (     )+       (       )+ (     )]
Error Bound of Midpoint Rule:

Suppose |     ( )|        for
                                  (   )
              then    |    |

Error Bound of Trapezoidal Rule:

Suppose   | ( )|          for
                                  (   )
              then    |    |
Error Bound of Simpson’s Rule:

Suppose   |    ( )|         for
                                  (   )
              then    |    |
Ex:


Use Simpson’s Rule with   =   to approximate it.
Ex:


Use Simpson’s Rule with    =       to approximate it.


              [ ( )+      ( . )+    ( . ) + · · · + ( )]
Ex:


Use Simpson’s Rule with             =       to approximate it.


                      [ ( )+    ( . )+       ( . ) + · · · + ( )]

          .             .           .           .       .        .
      =       [   +         +           +           +       +
                            .           .           .       .
                       +        +           +           +       +    ]
Ex:


Use Simpson’s Rule with             =       to approximate it.


                      [ ( )+    ( . )+       ( . ) + · · · + ( )]

          .             .           .           .       .        .
      =       [   +         +           +           +       +
                            .           .           .       .
                       +        +           +           +       +    ]

          .
Ex:


Estimate the error involved.
Ex:


Estimate the error involved.

           ( )=(    +          +   )
Ex:


Estimate the error involved.

           ( )=(    +          +   )

When

                     ( )
Ex:


Estimate the error involved.

           ( )=(           +         +   )

When

                           ( )

so the error is bounded by
                       ·
                                 .
                   ·
Ex:


Estimate the error involved.

            ( )=(           +           +    )

When

                            ( )

so the error is bounded by
                        ·
                                    .
                    ·

Therefore                       .           ± .

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Calculus II - 7

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