5:30pm 12/17 3:30pm finaljohnston/m128f19/9.5b.pdfhw 9.513 due 12/5 hw 9.6 due 1217 final: 12/17...
TRANSCRIPT
11/22-1. Read 10.1 and 10.2
HW 9.513 due 12/5
HW 9.6 due 1217
Final : 12/17 3:30PM- 5:30PM
Optimization z = fix, y )
zndperiuatiue.ie# Suppose ( x 'T y't ) is a cryptic. I
D)exit,y* ,
= [ fxx . fyy - ffxy) ) /c×*,y*,= #
( i ) D > 0 and fxx y* ) 2 o ⇒ LOCAL MIN
Iii) D 70 and fxxfxtyx ) 20 ⇒ LOCAL MAX
iii) D LO ⇒ SADDLE POINT
Civ D -
- o ⇒ Test Fails
Ey : fix , =x3 Ex : fix = X"
ft' .¥¥
ftxl ' 3×2=0fix ,=
4×3=0⇒ x*=o
⇒x fix ) =
Rx4×*
f' 'm -
- GX= 12.02=0
Test Test Failsf'
'
67=0 Fails
EI : Z = fix, y ) = X2ty2 paraboloid
crit.pt
¥::X ,
⇒ * " 99.
.
..
.
.
I'
o
2nd D test o
-
:
fxx = ( fx ) x= ( 2x )×= 2
fyy = # y= (Lyly = 2
AY = fyx = O
Plan = fxx.fyy-ffx.DZ ⇒
Dl 70
= 2.2 - o = 4 > OFxx y 'T so
fxxko,
. ,= 270 LOCAL MIN
II : Z = fix, yl = Xa - ya
cat pt-
'
.
f× -- 2X = O
⇒ = 0,0 ) •
Fy =- 2y = O
-
2nd D test a
-
:
Fxx = 2,
fyy = - 2,
fxy =fy×=O
Dla,a
= [ 2. C- 2) - 023=-4 LO
⇒ Cgo ) is aSADDLE POINT
Ey : Find and identify the critical points of
fix , yl-- X 't y
'- 9 x y
E. as * * of'#¥÷IJans :
f ,= 3×2 to -9 Y =Ogz ya - q×=3C¥X2%
⇒ I x4 - 9 ×= o ⇒ I x ( x
'- 277=0
so x' to ⇒y¥÷c¥EEi critical ptsor
4*7-27=1, yes,
#5=365--3 ;yf3,D⇒ X
't=3
Apply2tt :
Fxx = ×= (3×2-91)
x= GX fxy = ( 35 - g) y
= - 9
fyy = ffyly = Gf -9×1,= Gy
⇒ D)ex , ,= Fxx . fyy - ftp.I36xy-fgf-36xy - 81
QI : D1 egg= 360.0 - 81 =
- 8120, D LO
ISADDLEPOINTatco.co#! D Icq ,
= 36-3.3-81=9.36- 8170
Fxxkzp)= 6.3=1820 ⇒
D > o,
Fxx > O/L0CACMINatG##
Ex : For fix, y ) = ye 't x y
'
the critical pt is CE,
- e" )
Classify this point.
⇒ ¥¥:¥¥I¥¥'
Fxx = y ex, fyy = 2x
,fxy = e×t2yFix = ex t ay
DIE,
. em) = fxx . fyy - ¥5lez ,-
I' ) a
= f-e'' 7.em. 2. ta - Ce" '
- ad73-e-c-e- e = - 2e so ⇒
Ck ,- e
" I= - e ! SADDLE POINT
Exe : For what value of A- does fix ,yl= - x 't xytyt Ayhave a LOCAL MAX at C - 2
,-4 ) ?
Constrained Optimization-
Contour Plot of fix,y )
Minimize local 10M¥or Z= FIX
, y ) min
mini"su¥ty÷±g!• B. •
gcx ,y)=C
If C x't, y
't ) is a local mo'TMax
of fix ,yl subject to the constraint X
⇒ There exists ① fxcxtyg-xgxcx.tt )}If⇒Fg② fycxtyy-xgylx.FI
a > such that③ gaily ) -
- C
Exe : Find the MIN and MAX of
=L = fix ,yl=7xt7y subject to gcx ,y)=x7yZI