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  • 7/23/2019 C2_L2 - Open Methods

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    Chapter 2Roots of Equations

    - False-Position Method

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    Learning Outcome At the end of the lecture student should

    be able to use the False-Position Method

    to estimate the root of the equation

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    False-Position Method Let be real and continuous function

    in the inter!al from to and

    andha!e opposite signs

    "he graph of crosses the x-a#isbet$een the !alues and and hence

    a root of lies bet$een and

    root

    )(xf

    ul xx )()( ul xfxf

    0)()(

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    False-Position Method%o$& the points and'oined together b( a straight line "he

    intersection of this line $ith the x-a#isrepresents an impro!ed estimate of theroot

    root

    ( ))(, ll xfx ( ))(, uu xfx

    ul xx

    ( ))(, uu xfx

    )(xf

    rx

    ( ))(, ll xfx

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    False-Position Method )( using the fact that the slope of the

    lines connecting the points and &

    and the points and are the same*

    root

    rl xx

    ur xx

    ru

    u

    lr

    l

    xx

    xf

    xx

    xf

    =

    )()(

    ul xx

    )( uxf

    )(xf

    rx

    )( lxf

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    False-Position Method +ol!ing for $e ha!e

    "his is one form of the method of falseposition

    rx

    )1...(....................)()(

    )()(

    ul

    ullur

    xfxf

    xfxxfxx

    =

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    False-Position Method An alternati!e form can be obtained as

    follo$s*

    )2...(..........)()(

    ))((

    )()(

    ))((

    )()(

    )()()()(

    )()(

    )(

    )()(

    )(

    )()(

    )(

    )()(

    )(

    )()(

    )()(

    ul

    uluu

    ul

    luuu

    ul

    uluululuu

    ul

    ulu

    ul

    luu

    ul

    ul

    ul

    lu

    ul

    ullur

    xfxf

    xxxfx

    xfxf

    xxxfx

    xfxf

    xfxxfxxfxxfxx

    xfxf

    xfxx

    xfxf

    xfxx

    xfxf

    xfx

    xfxf

    xfx

    xfxf

    xfxxfxx

    =

    +=

    ++=

    +=

    =

    =

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    False-Position Method As compare to Eq,. this form in!ol!es

    one less function e!aluation and one

    less multiplication )ecause of the input !alues $e use to

    represent the quantities areappro#imate !alues& a signi/cant error

    ma( arise if large arithmetic ,addition&subtraction& multiplication& di!ision.manipulations are ta0en place

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    False-Position Method"he !alue of computed $ith Eq(2) then replaces

    $hiche!er of the t$o initial guesses& and $hich

    (ields a function !alue $ith the same sign as

    root

    rx

    ul xx

    )( rxf

    ul xx

    )( uxf

    )(xf

    rx

    )( lxf

    )( rxf

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    False-Position Method 1n this $a(& the !alues of and

    al$a(s brac0et the true root "he

    process is repeated until the root isestimated adequatel(

    "he algorithm is identical to the one forbisection $ith the e#ception that Eq(2) is

    used for step 2 1n addition& the same stopping criterion

    is used to terminate the computation

    ul xx

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    E#ample "he !elocit( vof a falling parachutist is

    gi!en b(

    $here g34 m5s6 For a parachutist $itha drag coe7cient c80g5s& computethe mass mso that the !elocit( is

    v98m5s at t3s :se the false-positionmethod to determine mto a le!el of

    :se initial guesses of and

    =

    m

    ct

    ec

    gm

    v 1

    %.1.0=s

    50=lm .70=um

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    +olution +ubstituting the gi!en !alues in the

    !elocit( equation*

    "he correct mass can be determined b(/nding the root of f(m)=0

    035115

    8.9)(

    115

    8.935

    135

    )9)(15(

    =

    =

    =

    m

    m

    em

    mf

    em

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    +olution First iteration*

    "herefore& the ne$ brac0et is and

    030637.1)288463929.0)(528713416.4(

    )51423.60()50()()(

    51423.60)085732597.4528713416.4(

    )20)(085732597.4(70

    )70()50(

    )7050)(70(70)()(

    ))((

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    +olution +econd iteration*

    "herefore& the ne$ brac0et is and

    008491.0)88461.59()50()()(

    %051.1%10088461.59

    51423.6088461.59

    88461.59

    )51423.60()50(

    )51423.6050)(51423.60(51423.60)()(

    ))((

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    +olution"hird iteration*

    "hus& after 9 iterations& a !alue of 834;94

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    +olution"his result can be !eri/ed b(

    substituting into the equation for

    !elocit( to gi!e

    sm

    ev

    /00121.35

    115

    )84386.59(8.984386.59

    )9)(15(

    =

    =

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    Pitfalls of the False-PositionMethod

    Although the false-position methodseems to be the brac0eting method of

    preference& there are cases $here itperforms poorl( and the bisectionmethod (ields superior results

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    E#ample 2 :se bisection and false-position to

    locate the root of

    bet$een x= and 9

    1)( 10 =xxf

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    +olution"he true !alue of the root of f(x)=0is

    "he initial guesses are and1)1(

    1

    01

    101

    10

    10

    ==

    =

    =

    x

    x

    x

    0=lx 3.1=ux

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    +olution :sing bisection the results are summari?ed

    as belo$*

    After 8 iterations& the is reduced to lessthan 2>

    i

    = 9 =

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    +olution For false-position& the results are summari?ed as belo$*

    After 8 iterations& the has onl( been reduced to about 83> %otethat the results ha!e undesirable feature that "his is notgood because it means that $e could stop the computation based onthe erroneous assumption that the true error is at least as good as the

    appro#imate error "his is due to the slo$ con!ergence to the root

    i

    = 9 ==3;9= @!e 3=