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final

Course: CSE 2320, Fall 2009
School: Midwestern State...
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Coursehero >> Texas >> Midwestern State University >> CSE 2320

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dy dx atan } { 90 } ifelse def gsave originalCTM setmatrix tipx tipy translate angle rotate newpath arrowHeight neg arrowWidth 2 div moveto 0 0 lineto arrowHeight neg arrowWidth 2 div neg lineto patternNone not { originalCTM setmatrix /padtip arrowHeight 2 exp 0.25 arrowWidth 2 exp mul add sqrt brushWidth mul arrowWidth div def /padtail brushWidth 2 div def tipx tipy translate angle rotate padtip 0 translate arrowHeight padtip add padtail add arrowHeight div dup scale arrowheadpath ifill } if brushNone not { originalCTM setmatrix tipx tipy translate angle rotate arrowheadpath istroke } if grestore end } dup 0 9 dict put def /arrowheadpath { newpath arrowHeight neg arrowWidth 2 div moveto 0 0 lineto arrowHeight neg arrowWidth 2 div neg lineto } def /leftarrow { 0 begin y exch get /taily exch def x exch get /tailx exch def y exch get /tipy exch def x exch get /tipx exch def brushLeftArrow { tipx tipy tailx taily arrowhead } if end } dup 0 4 dict put def /rightarrow { 0 begin y exch get /tipy exch def x exch get /tipx exch def y exch get /taily exch def x exch get /tailx exch def brushRightArrow { tipx tipy tailx taily arrowhead } if end } dup 0 4 dict put def %%EndIdrawPrologue /arrowHeight 8 def /arrowWidth 4 def /IdrawDict 51 dict def IdrawDict begin /reencodeISO { dup dup findfont dup length dict begin { 1 index /FID ne { def }{ pop pop } ifelse } forall /Encoding ISOLatin1Encoding def currentdict end definefont } def /ISOLatin1Encoding [ /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef /space/exclam/quotedbl/numbersign/dollar/percent/ampersand/quoteright /parenleft/parenright/asterisk/plus/comma/minus/period/slash /zero/one/two/three/four/five/six/seven/eight/nine/colon/semicolon /less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M/N /O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright /asciicircum/underscore/quoteleft/a/b/c/d/e/f/g/h/i/j/k/l/m /n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft/bar/braceright/asciitilde /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/dotlessi/grave/acute/circumflex/tilde/macron/breve /dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut /ogonek/caron/space/exclamdown/cent/sterling/currency/yen/brokenbar /section/dieresis/copyright/ordfeminine/guillemotleft/logicalnot /hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown /Agrave/Aacute/Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla /Egrave/Eacute/Ecircumflex/Edieresis/Igrave/Iacute/Icircumflex /Idieresis/Eth/Ntilde/Ograve/Oacute/Ocircumflex/Otilde/Odieresis /multiply/Oslash/Ugrave/Uacute/Ucircumflex/Udieresis/Yacute /Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave /iacute/icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex /otilde/odieresis/divide/oslash/ugrave/uacute/ucircumflex/udieresis /yacute/thorn/ydieresis ] def /Helvetica-Bold reencodeISO def /none null def /numGraphicParameters 17 def /stringLimit 65535 def /Begin { save numGraphicParameters dict begin } def /End { end restore } def /SetB { dup type /nulltype eq { pop false /brushRightArrow idef false /brushLeftArrow idef true /brushNone idef } { /brushDashOffset idef /brushDashArray idef 0 ne /brushRightArrow idef 0 ne /brushLeftArrow idef /brushWidth idef false /brushNone idef } ifelse } def /SetCFg { /fgblue idef /fggreen idef /fgred idef } def /SetCBg { /bgblue idef /bggreen idef /bgred idef } def /SetF { /printSize idef /printFont idef } def /SetP { dup type /nulltype eq { pop true /patternNone idef } { dup -1 eq { /patternGrayLevel idef /patternString idef } { /patternGrayLevel idef } ifelse false /patternNone idef } ifelse } def /BSpl { 0 begin storexyn newpath n 1 gt { 0 0 0 0 0 0 1 1 true subspline n 2 gt { 0 0 0 0 1 1 2 2 false subspline 1 1 n 3 sub { /i exch def i 1 sub dup i dup i 1 add dup i 2 add dup false subspline } for n 3 sub dup n 2 sub dup n 1 sub dup 2 copy false subspline } if n 2 sub dup n 1 sub dup 2 copy 2 copy false subspline patternNone not brushLeftArrow not brushRightArrow not and and { ifill } if brushNone not { istroke } if 0 0 1 1 leftarrow n 2 sub dup n 1 sub dup rightarrow } if end } dup 0 4 dict put def /Circ { newpath 0 360 arc closepath patternNone not { ifill } if brushNone not { istroke } if } def /CBSpl { 0 begin dup 2 gt { storexyn newpath n 1 sub dup 0 0 1 1 2 2 true subspline 1 1 n 3 sub { /i exch def i 1 sub dup i dup i 1 add dup i 2 add dup false subspline } for n 3 sub dup n 2 sub dup n 2 sub dup n 1 sub dup patternNone not { ifill brushNone not { istroke } { Poly } ifelse end } dup 0 4 dict put def n 0 } } 1 sub dup 0 0 false subspline 0 1 1 false subspline if if /Elli { 0 begin newpath 4 2 roll translate scale 0 0 1 0 360 arc closepath patternNone not { ifill } if brushNone not { istroke } if end } dup 0 1 dict put def /Line { 0 begin 2 storexyn newpath x 0 get y 0 get moveto x 1 get y 1 get lineto brushNone not { istroke } if 0 0 1 1 leftarrow 0 0 1 1 rightarrow end } dup 0 4 dict put def /MLine { 0 begin storexyn newpath n 1 gt { x 0 get y 0 get moveto 1 1 n 1 sub { /i exch def x i get y i get lineto } for patternNone not brushLeftArrow not brushRightArrow not and and { ifill } if brushNone not { istroke } if 0 0 1 1 leftarrow n 2 sub dup n 1 sub dup rightarrow } if end } dup 0 4 dict put def /Poly { 3 1 roll newpath moveto -1 add { lineto } repeat closepath patternNone not { ifill } if brushNone not { istroke } if } def /Rect { 0 begin /t exch def /r exch def /b exch def /l exch def newpath l b moveto l t lineto r t lineto r b lineto closepath patternNone not { ifill } if brushNone not { istroke } if end } dup 0 4 dict put def /Text { ishow } def /idef { dup where { pop pop pop } { exch def } ifelse } def /ifill { 0 begin gsave patternGrayLevel -1 ne { fgred bgred fgred sub patternGrayLevel mul add fggreen bggreen fggreen sub patternGrayLevel mul add fgblue bgblue fgblue sub patternGrayLevel mul add setrgbcolor eofill } { eoclip originalCTM setmatrix pathbbox /t exch def /r exch def /b exch def /l exch def /w r l sub ceiling cvi def /h t b sub ceiling cvi def /imageByteWidth w 8 div ceiling cvi def /imageHeight h def bgred bggreen bgblue setrgbcolor eofill fgred fggreen fgblue setrgbcolor w 0 gt h 0 gt and { l w add b translate w neg h scale w h true [w 0 0 h neg 0 h] { patternproc } imagemask } if } ifelse grestore end } dup 0 8 dict put def /istroke { gsave brushDashOffset -1 eq { [] 0 setdash 1 setgray } { brushDashArray brushDashOffset setdash fgred fggreen fgblue setrgbcolor } ifelse brushWidth setlinewidth originalCTM setmatrix stroke grestore } def /ishow { 0 begin gsave fgred fggreen fgblue setrgbcolor /fontDict printFont printSize scalefont dup setfont def /descender fontDict begin 0 [FontBBox] 1 get FontMatrix end transform exch pop def /vertoffset 1 printSize sub descender sub def { 0 vertoffset moveto show /vertoffset vertoffset printSize sub def } forall grestore end } dup 0 3 dict put def /patternproc { 0 begin /patternByteLength patternString length def /patternHeight patternByteLength 8 mul sqrt cvi def /patternWidth patternHeight def /patternByteWidth patternWidth 8 idiv def /imageByteMaxLength imageByteWidth imageHeight mul stringLimit patternByteWidth sub min def /imageMaxHeight imageByteMaxLength imageByteWidth idiv patternHeight idiv patternHeight mul patternHeight max def /imageHeight imageHeight imageMaxHeight sub store /imageString imageByteWidth imageMaxHeight mul patternByteWidth add string def 0 1 imageMaxHeight 1 sub { /y exch def /patternRow y patternByteWidth mul patternByteLength mod def /patternRowString patternString patternRow patternByteWidth getinterval def /imageRow y imageByteWidth mul def 0 patternByteWidth imageByteWidth 1 sub { /x exch def imageString imageRow x add patternRowString putinterval } for } for imageString end } dup 0 12 dict put def /min { dup 3 2 roll dup 4 3 roll lt { exch } if pop } def /max { dup 3 2 roll dup 4 3 roll gt { exch } if pop } def /midpoint { 0 begin /y1 exch def /x1 exch def /y0 exch def /x0 exch def x0 x1 add 2 div y0 y1 add 2 div end } dup 0 4 dict put def /thirdpoint { 0 begin /y1 exch def /x1 exch def /y0 exch def /x0 exch def x0 2 mul x1 add 3 div y0 2 mul y1 add 3 div end } dup 0 4 dict put def /subspline { 0 begin /movetoNeeded exch def y exch get /y3 exch def x exch get /x3 exch def y exch get /y2 exch def x exch get /x2 exch def y exch get /y1 exch def x exch get /x1 exch def y exch get /y0 exch def x exch get /x0 exch def x1 y1 x2 y2 thirdpoint /p1y exch def /p1x exch def x2 y2 x1 y1 thirdpoint /p2y exch def /p2x exch def x1 y1 x0 y0 thirdpoint p1x p1y midpoint /p0y exch def /p0x exch def x2 y2 x3 y3 thirdpoint p2x p2y midpoint /p3y exch def /p3x exch def movetoNeeded { p0x p0y moveto } if p1x p1y p2x p2y p3x p3y curveto end } dup 0 17 dict put def /storexyn { /n exch def /y n array def /x n array def n 1 sub -1 0 { /i exch def y i 3 2 roll put x i 3 2 roll put } for } def /SSten { fgred fggreen fgblue setrgbcolor dup true exch 1 0 0 -1 0 6 -1 roll matrix astore } def /FSten { dup 3 -1 roll dup 4 1 roll exch newpath 0 0 moveto dup 0 exch lineto exch dup 3 1 roll exch lineto 0 lineto closepath bgred bggreen bgblue setrgbcolor eofill SSten } def /Rast { exch dup 3 1 roll 1 0 0 -1 0 6 -1 roll matrix astore } def %%EndProlog %I Idraw 12 Grid 5 5 %%Page: 1 1 Begin %I b u %I cfg u %I cbg u %I f u %I p u %I t [ 0.956649 0 0 0.956649 0 0 ] concat /originalCTM matrix currentmatrix def Begin %I BSpl %I b 65535 1 0 1 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 0 SetP %I t [ 1 -0 -0 1 117 149 ] concat %I 3 103 251 118 281 108 301 3 BSpl %I 1 End Begin %I BSpl %I b 65535 1 0 1 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 0 SetP %I t [ 1 -0 -0 1 117 149 ] concat %I 3 103 316 78 281 98 261 3 BSpl %I 1 End Begin %I Line %I b 65535 1 0 1 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 0 SetP %I t [ 1 -0 -0 1 117 149 ] concat %I 248 316 183 261 Line %I 1 End Begin %I Line %I b 65535 1 0 1 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 0 SetP %I t [ 1 -0 -0 1 117 149 ] concat %I 248 316 248 266 Line %I 1 End Begin %I Line %I b 65535 1 0 1 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 0 SetP %I t [ 1 -0 -0 1 117 149 ] concat %I 173 251 173 301 Line %I 1 End Begin %I Line %I b 65535 1 0 1 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 0 SetP %I t [ 1 -0 -0 1 117 149 ] concat %I 173 251 233 251 Line %I 1 End Begin %I Line %I b 65535 1 0 1 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 0 SetP %I t [ 1 -0 -0 1 117 149 ] concat %I 103 251 158 251 Line %I 1 End Begin %I Line %I b 65535 1 0 1 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 0 SetP %I t [ 1 -0 -0 1 117 149 ] concat %I 173 316 233 316 Line %I 1 End Begin %I Line %I b 65535 1 0 1 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 0 SetP %I t [ 1 -0 -0 1 117 149 ] concat %I 103 316 158 316 Line %I 1 End Begin %I Elli %I b 65535 1 0 0 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 1 SetP %I t [ 1 -0 -0 1 267 19 ] concat %I 98 381 15 15 Elli End Begin %I Elli %I b 65535 1 0 0 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 1 SetP %I t [ 1 -0 -0 1 192 19 ] concat %I 98 381 15 15 Elli End Begin %I Elli %I b 65535 1 0 0 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 1 SetP %I t [ 1 -0 -0 1 122 19 ] concat %I 98 381 15 15 Elli End Begin %I Elli %I b 65535 1 0 0 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 1 SetP %I t [ 1 -0 -0 1 267 84 ] concat %I 98 381 15 15 Elli End Begin %I Elli %I b 65535 1 0 0 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 1 SetP %I t [ 1 -0 -0 1 192 84 ] concat %I 98 381 15 15 Elli End Begin %I Elli %I b 65535 1 0 0 [] 0 SetB %I cfg Black 0 0 0 SetCFg %I cbg White 1 1 1 SetCBg %I p 1 SetP %I t [ 1 -0 -0 1 122 84 ] concat %I 98 381 15 15 Elli End Begin %I Text %I cfg Black 0 0 0 SetCFg %I f -*-helvetica-bold-r-normal-*-14-*-*-*-*-*-*-* Helvetica-Bold 14 SetF %I t [ 1 0 0 1 215 473 ] concat %I [ (a) ] Text End Begin %I Text %I cfg Black 0 0 0 SetCFg %I f -*-helvetica-bold-r-normal-*-14-*-*-*-*-*-*-* Helvetica-Bold 14 SetF %I t [ 1 0 0 1 285 473 ] concat %I [ (b) ] Text End Begin %I Text %I cfg Black 0 0 0 SetCFg %I f -*-helvetica-bold-r-normal-*-14-*-*-*-*-*-*-* Helvetica-Bold 14 SetF %I t [ 1 0 0 1 360 473 ] concat %I [ (c) ] Text End Begin %I Text %I cfg Black 0 0 0 SetCFg %I f -*-helvetica-bold-r-normal-*-14-*-*-*-*-*-*-* Helvetica-Bold 14 SetF %I t [ 1 0 0 1 215 408 ] concat %I [ (d) ] Text End Begin %I Text %I cfg Black 0 0 0 SetCFg %I f -*-helvetica-bold-r-normal-*-14-*-*-*-*-*-*-* Helvetica-Bold 14 SetF %I t [ 1 0 0 1 285 408 ] concat %I [ (e) ] Text End Begin %I Text %I cfg Black 0 0 0 SetCFg %I f -*-helvetica-bold-r-normal-*-14-*-*-*-*-*-*-* Helvetica-Bold 14 SetF %I t [ 1 0 0 1 360 408 ] concat %I [ (f) ] Text End End %I eop showpage %%Trailer end %%EndDocument endTexFig 285 1414 a Fh(\(a\))48 b(Lab)s(el)28 b(the)i(v)m(ertices)g(of)f(the)g (ab)s(o)m(v)m(e)h(graph)f(with)f(the)i(disco)m(v)m(er)g(and)f(\014nish) g(times)f(pro)s(duced)458 1535 y(b)m(y)j(depth-\014rst)g(searc)m(h,)h (considering)d(v)m(ertices)i(in)e(alphab)s(etic)g(order)h(when)h (iterating)d(o)m(v)m(er)458 1655 y(v)m(ertices.)280 3617 y(\(b\))48 b(Sho)m(w)34 b(the)f(transp)s(ose)g(of)f(the)h(ab)s(o)m(v)m (e)h(graph.)3802 6070 y(10)p eop %%Page: 11 11 11 10 bop 290 220 a Fh(\(c\))49 b(Lab)s(el)27 b(the)h(transp)s(ose)h (graph)e(in)g(part)h(\(b\))f(with)h(the)g(disco)m(v)m(er)h(and)f (\014nish)f(times)g(pro)s(duced)458 341 y(b)m(y)i(depth-\014rst)f (searc)m(h,)i(considering)d(v)m(ertices)i(in)d(decreasing)i(order)g(b)m (y)g(their)f(\014nish)h(times)458 461 y(in)k(part)h(\(a\).)280 2423 y(\(d\))48 b(Sho)m(w)34 b(the)f(strongly-connected)g(comp)s(onen)m (ts)g(of)f(the)i(original)29 b(graph.)3802 6070 y(11)p eop %%Page: 12 12 12 11 bop 119 220 a Fh(6.)49 b(\(15)37 b(p)s(oin)m(ts\).)58 b(Supp)s(ose)39 b(w)m(e)f(w)m(ould)g(lik)m(e)f(to)g(\014nd)h(the)g (minim)m(um)c(spanning)k(tree)g(of)f(the)h(graph)244 341 y(b)s(elo)m(w,)30 b(but)h(w)m(e)g(are)f(willing)d(to)j(get)g(a)g (sub)s(optimal)d(result)j(in)g(order)g(to)g(\014nd)g(a)g(spanning)g (tree)h(in)244 461 y(less)f(time)d(than)j(the)f(MST-Prim)g(algorithm.) 39 b(W)-8 b(e)30 b(can)f(use)i(BFS)e(to)g(pro)s(duce)h(the)f (breadth-\014rst)244 581 y(tree,)g(whic)m(h)f(is)f(a)g(spanning)g (tree.)42 b(Or,)28 b(w)m(e)h(can)e(use)i(DFS)d(to)h(pro)s(duce)h(a)f (depth-\014rst)h(tree,)h(whic)m(h)244 702 y(is)j(also)g(a)g(spanning)g (tree.)1175 837 y 12235407 6643958 13024788 29075537 25260195 35719495 startTexFig 1175 837 a %%BeginDocument: figures/f6.ps %!PS-Adobe-2.0 EPSF-1.2 %%Creator: idraw %%DocumentFonts: Helvetica-Bold Courier-Bold %%Pages: 1 %%BoundingBox: 198 442 384 543 %%EndComments %%BeginIdrawPrologue /arrowhead { 0 begin transform originalCTM itransform /taily exch def /tailx exch def transform originalCTM itransform /tipy exch def /tipx exch def /dy tipy taily sub def /dx tipx tailx sub def /angle dx 0 ne dy 0 ne or { dy dx atan } { 90 } ifelse def gsave originalCTM setmatrix tipx tipy translate angle rotate newpath arrowHeight neg arrowWidth 2 div moveto 0 0 lineto arrowHeight neg arrowWidth 2 div neg lineto patternNone not { originalCTM setmatrix /padtip arrowHeight 2 exp 0.25 arrowWidth 2 exp mul add sqrt brushWidth mul arrowWidth div def /padtail brushWidth 2 div def tipx tipy translate angle rotate padtip 0 translate arrowHeight padtip add padtail add arrowHeight div dup scale arrowheadpath ifill } if brushNone not { originalCTM setmatrix tipx tipy translate angle rotate arrowheadpath istroke } if grestore end } dup 0 9 dict put def /arrowheadpath { newpath arrowHeight neg arrowWidth 2 div moveto 0 0 lineto arrowHeight neg arrowWidth 2 div neg lineto } def /leftarrow { 0 begin y exch get /taily exch def x exch get /tailx exch def y exch get /tipy exch def x exch get /tipx exch def brushLeftArrow { tipx tipy tailx taily arrowhead } if end } dup 0 4 dict put def /rightarrow { 0 begin y exch get /tipy exch def x exch get /tipx exch def y exch get /taily exch def x exch get /tailx exch def brushRightArrow { tipx tipy tailx taily arrowhead } if end } dup 0 4 dict put def %%EndIdrawPrologue /arrowHeight 8 def /arrowWidth 4 def /IdrawDict 52 dict def IdrawDict begin /reencodeISO { dup dup findfont dup length dict begin { 1 index /FID ne { def }{ pop pop } ifelse } forall /Encoding ISOLatin1Encoding def currentdict end definefont } def /ISOLatin1Encoding [ /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef /space/exclam/quotedbl/numbersign/dollar/percent/ampersand/quoteright /parenleft/parenright/asterisk/plus/comma/minus/period/slash /zero/one/two/three/four/five/six/seven/eight/nine/colon/semicolon /less/equal/greater/question/at/A/B/C/D/E/F/G/H/I/J/K/L/M/N /O/P/Q/R/S/T/U/V/W/X/Y/Z/bracketleft/backslash/bracketright /asciicircum/underscore/quoteleft/a/b/c/d/e/f/g/h/i/j/k/l/m /n/o/p/q/r/s/t/u/v/w/x/y/z/braceleft/bar/braceright/asciitilde /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef/.notdef /.notdef/dotlessi/grave/acute/circumflex/tilde/macron/breve /dotaccent/dieresis/.notdef/ring/cedilla/.notdef/hungarumlaut /ogonek/caron/space/exclamdown/cent/sterling/currency/yen/brokenbar /section/dieresis/copyright/ordfeminine/guillemotleft/logicalnot /hyphen/registered/macron/degree/plusminus/twosuperior/threesuperior /acute/mu/paragraph/periodcentered/cedilla/onesuperior/ordmasculine /guillemotright/onequarter/onehalf/threequarters/questiondown /Agrave/Aacute/Acircumflex/Atilde/Adieresis/Aring/AE/Ccedilla /Egrave/Eacute/Ecircumflex/Edieresis/Igrave/Iacute/Icircumflex /Idieresis/Eth/Ntilde/Ograve/Oacute/Ocircumflex/Otilde/Odieresis /multiply/Oslash/Ugrave/Uacute/Ucircumflex/Udieresis/Yacute /Thorn/germandbls/agrave/aacute/acircumflex/atilde/adieresis /aring/ae/ccedilla/egrave/eacute/ecircumflex/edieresis/igrave /iacute/icircumflex/idieresis/eth/ntilde/ograve/oacute/ocircumflex /otilde/odieresis/divide/oslash/ugrave/uacute/ucircumflex/udieresis /yacute/thorn/ydieresis ] def /Helvetica-Bold reencodeISO def /Courier-Bold reencodeISO def /none null def /numGraphicParameters 17 def /stringLimit 65535 def /Begin { save numGrap...

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Midwestern State University - CPTS - 223
CptS 223 Advanced Data StructuresHomework 4Due: 5:00pm, March 27, 2009 (Late deadline: 5:00pm, March 30, 2009) Total Points: 40 You may submit your solution via email to holder@wsu.edu (preferred), or you may submit hardcopy in class or to my off
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CptS 223 Advanced Data StructuresProgram 4Due: April 3, 2009 (by midnight). For this programming assignment you will modify the BinarySearchTree template class from Program 2 to create a mergeable BinaryHeap template class that does not use an ar
Midwestern State University - CPTS - 223
CptS 223 Advanced Data StructuresHomework 5Due: 5:00pm, April 10, 2009 (Late deadline: 5:00pm, April 13, 2009) Total Points: 40 You may submit your solution via email to holder@wsu.edu (preferred), or you may submit hardcopy in class or to my off
Midwestern State University - CPTS - 223
CptS 223 Advanced Data StructuresProgram 5Due: April 24, 2009 (by midnight). Graphs can be used to represent several different kinds of networks (e.g., computer networks, social networks, etc.). One interesting property of a node in a network (ve
Midwestern State University - CSE - 4316
~ z} y ~ } z z y x v t r |d|{(Cwusqo m l j j pnGRktvRfXhRW W Y h e i W U cgW Y h e tvRfdduGqR2(bvVg a s h w i h a Y T f f Y T T f f vVgRVxVvuteGrqR'gVedb`XVS f W T y f T y w Y T a s U c h p i h a f T c a Y W U TQ 1 H RPIG
Midwestern State University - CSE - 5361
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: hw1.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips -f -N0 hw1.dvi %DVIPSParameters: dpi=600, compressed, comment
Midwestern State University - CSE - 5361
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: hw3.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips -f -N0 hw3.dvi %DVIPSParameters: dpi=600, compressed, comment
Midwestern State University - CSE - 5361
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: hw5.dvi %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentPaperSizes: Letter %EndComments %DVIPSCommandLine: dvips -f -N0 hw5.dvi %DVIPSParameters:
Midwestern State University - CSE - 5361
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: syllabus.dvi %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips -f -N0 syllabus.dvi %DVIPSParameters: dpi=600, compresse
Midwestern State University - CSE - 5361
%!PS-Adobe-2.0 %Creator: dvipsk 5.58b Copyright 1986, 1994 Radical Eye Software %Title: hw2.dvi %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips -f -N0 hw2.dvi %DVIPSParameters: dpi=600, compressed, comment
Midwestern State University - CSE - 5361
%!PS-Adobe-2.0 %Creator: dvipsk 5.58b Copyright 1986, 1994 Radical Eye Software %Title: hw3.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips -f -N0 hw3.dvi %DVIPSParameters: dpi=600, compressed, comment
Midwestern State University - CSE - 5361
%!PS-Adobe-2.0 %Creator: dvipsk 5.58b Copyright 1986, 1994 Radical Eye Software %Title: project.dvi %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips -f -N0 project.dvi %DVIPSParameters: dpi=600, compressed,
Midwestern State University - CSE - 5361
%!PS-Adobe-2.0 %Creator: dvipsk 5.58b Copyright 1986, 1994 Radical Eye Software %Title: syl.dvi %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips -f -N0 syl.dvi %DVIPSParameters: dpi=600, compressed, comment
Midwestern State University - CSE - 6363
beorPprpure5sz|pvrrbzv(vourGrrEvpv|Eprp|prizro qrvuiaeguo`wauze%Pa|a|r`aPg t t { { e t x f } f f x x e f } f x f e } x e w a`yuum|tmg`ae`g`auPPa|xgun f sP`a|f v|ta(a|y`wa{ga&quot;P|auuP`
Midwestern State University - CSE - 6363
An Apriori-based Algorithm for Mining Frequent Substructures from Graph DataAkihiro Inokuchi? , Takashi Washio and Hiroshi MotodaI.S.I.R., Osaka University 8-1, Mihogaoka, Ibarakishi, Osaka, 567-0047, Japan Phone: +81-6-6879-8541 Fax: +81-6-6879-8
Midwestern State University - CSE - 2320
%!PS-Adobe-2.0 %Creator: dvips(k) 5.78 Copyright 1998 Radical Eye Software (www.radicaleye.com) %Title: hw1.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 596 842 %EndComments %DVIPSCommandLine: dvips -f -N0 hw1.dvi %DVIPSParameters: dpi=600, com
Midwestern State University - CSE - 2320
%!PS-Adobe-2.0 %Creator: dvips(k) 5.78 Copyright 1998 Radical Eye Software (www.radicaleye.com) %Title: hw2.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 596 842 %EndComments %DVIPSCommandLine: dvips -O 0cm,1.75cm -f hw2.dvi %DVIPSParameters: dp
Midwestern State University - CSE - 2320
%!PS-Adobe-2.0 %Creator: dvips(k) 5.78 Copyright 1998 Radical Eye Software (www.radicaleye.com) %Title: pgm2.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 596 842 %EndComments %DVIPSCommandLine: /usr/bin/dvips -O 0cm,1.75cm -f pgm2.dvi %DVIPSPar
Midwestern State University - CSE - 2320
%!PS-Adobe-2.0 %Creator: dvips(k) 5.78 Copyright 1998 Radical Eye Software (www.radicaleye.com) %Title: e1.dvi %Pages: 11 %PageOrder: Ascend %BoundingBox: 0 0 596 842 %EndComments %DVIPSCommandLine: /usr/bin/dvips -O 0cm,1.75cm -f e1.dvi %DVIPSParame
Midwestern State University - CSE - 2320
%!PS-Adobe-2.0 %Creator: dvips(k) 5.78 Copyright 1998 Radical Eye Software (www.radicaleye.com) %Title: hw4.dvi %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 596 842 %EndComments %DVIPSCommandLine: /usr/bin/dvips -O 0cm,1.75cm -f hw4.dvi %DVIPSParam
Midwestern State University - CSE - 2320
%!PS-Adobe-2.0 %Creator: dvips(k) 5.78 Copyright 1998 Radical Eye Software (www.radicaleye.com) %Title: e2.dvi %Pages: 12 %PageOrder: Ascend %BoundingBox: 0 0 596 842 %EndComments %DVIPSCommandLine: /usr/bin/dvips -O 0cm,1.75cm -f e2.dvi %DVIPSParame
Midwestern State University - CSE - 2320
%!PS-Adobe-2.0 %Creator: dvips(k) 5.78 Copyright 1998 Radical Eye Software (www.radicaleye.com) %Title: pgm4.dvi %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 596 842 %EndComments %DVIPSCommandLine: /usr/bin/dvips -O 0cm,1.75cm -f pgm4.dvi %DVIPSPar
Midwestern State University - CSE - 2320
%!PS-Adobe-2.0 %Creator: dvips(k) 5.78 Copyright 1998 Radical Eye Software (www.radicaleye.com) %Title: final.dvi %Pages: 16 %PageOrder: Ascend %BoundingBox: 0 0 596 842 %EndComments %DVIPSCommandLine: /usr/bin/dvips -O 0cm,1.75cm -f final.dvi %DVIPS
Midwestern State University - CPTS - 570
Learning to Compress Images and VideosLi Cheng Li.Cheng@nicta.com.au S.V. N. Vishwanathan svn.vishwanathan@nicta.com.au Statistical Machine Learning, National ICT Australia Research School of Information Sciences &amp; Engineering, Australian National
Midwestern State University - CPTS - 570
International Joint Conference on Artificial Intelligence (IJCAI, 2007)Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RLManu Sharma, Michael Holmes, Juan Santamaria, Arya Irani, Charles Isbell, Ashwin Ram College of Computing Georg
Midwestern State University - CPTS - 570
Multiclass Reduced-Set Support Vector MachinesBenyang Tang benyang.tang@jpl.nasa.gov Dominic Mazzoni dominic.mazzoni@jpl.nasa.gov Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr, Pasadena, CA 91109AbstractThere a
Midwestern State University - CPTS - 570
Seventh IEEE International Conference on Data MiningEfficient Algorithms for Mining Significant Substructures in Graphs with Quality GuaranteesHuahai He Ambuj K. Singh Department of Computer Science University of California, Santa Barbara Santa Ba
Midwestern State University - CPTS - 570
Monte-Carlo Go Reinforcement Learning ExperimentsBruno Bouzy Universit Ren Descartes e e UFR de math matiques et d'informatique e C.R.I.P.5 45, rue des Saints-P` res e 75270 Paris Cedex 06, France bouzy@math-info.univ-paris5.fr Guillaume Chaslot MIC
Midwestern State University - CSE - 5361
Problem solving and searchChapter 3Chapter 31Outline Problem-solving agents Problem types Problem formulation Example problems Basic search algorithmsChapter 32Problem-solving agentsRestricted form of general agent:function Simpl
Midwestern State University - CSE - 5361
Game playingChapter 6Chapter 61Outline Games Perfect play minimax decisions pruning Resource limits and approximate evaluation Games of chance Games of imperfect informationChapter 62Games vs. search problems&quot;Unpredictable&quot; opp
Midwestern State University - CSE - 5361
Logical agentsChapter 7Chapter 71Outline Knowledge-based agents Wumpus world Logic in generalmodels and entailment Propositional (Boolean) logic Equivalence, validity, satisability Inference rules and theorem proving forward chaining
Midwestern State University - CSE - 5361
First-order logicChapter 8Chapter 81Outline Why FOL? Syntax and semantics of FOL Fun with sentences Wumpus world in FOLChapter 82Pros and cons of propositional logicPropositional logic is declarative: pieces of syntax correspond to
Midwestern State University - CSE - 5361
Bayesian networksChapter 14.13Chapter 14.131Outline Syntax Semantics Parameterized distributionsChapter 14.132Bayesian networksA simple, graphical notation for conditional independence assertions and hence for compact specication of
Midwestern State University - CSE - 5361
Temporal probability modelsChapter 15, Sections 15Chapter 15, Sections 151Outline Time and uncertainty Inference: ltering, prediction, smoothing Hidden Markov models Kalman lters (a brief mention) Dynamic Bayesian networks Particle lter
Midwestern State University - CSE - 5361
Learning from ObservationsChapter 18, Sections 13Chapter 18, Sections 131Outline Learning agents Inductive learning Decision tree learning Measuring learning performanceChapter 18, Sections 132LearningLearning is essential for unkn
Midwestern State University - CSE - 5361
Neural networksChapter 20, Section 5Chapter 20, Section 51Outline Brains Neural networks Perceptrons Multilayer perceptrons Applications of neural networksChapter 20, Section 52Brains1011 neurons of &gt; 20 types, 1014 synapses, 1ms1
Midwestern State University - CSE - 6362
Predicting Future User Actions by Observing Unmodified ApplicationsPeter Gorniak and David PooleDepartment of Computer Science University of British Columbia Vancouver, B.C., Canada pgorniak@cs.ubc.ca, poole@cs.ubc.caAbstractIntelligent user int
Midwestern State University - CSE - 6362
ESmart Sensors &amp; Network Sensor SystemsSmart Sensors and Network Sensor SystemsTwo Approaches to Providing Smart Sensor Capabilities: Incorporating Identification Capabilities per IEEE 1451.4 (Smart Isotron), or Complete Data Acquisition and Net
Midwestern State University - CSE - 6362
Learning to Control a Smart Home EnvironmentDiane J. Cook, Manfred Huber, Karthik Gopalratnam, and Michael YoungbloodDepartment of Computer Science Engineering University of Texas at Arlington Email: cook@cse.uta.eduAbstractThe goal of the MavHo
Midwestern State University - CSE - 6362
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Midwestern State University - CSE - 6362
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Midwestern State University - CSE - 6362
Midwestern State University - CSE - 6362
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Midwestern State University - CSE - 6362
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Midwestern State University - CSE - 6362
%!PS-Adobe-2.0 %Creator: dvips(k) 5.78 Copyright 1998 Radical Eye Software (www.radicaleye.com) %Title: book.dvi %Pages: 17 %PageOrder: Ascend %BoundingBox: 0 0 596 842 %EndComments %DVIPSCommandLine: dvips -pp 1-17 book -o c1.ps %DVIPSParameters: dp
Midwestern State University - CSE - 6362
Reinforcement Learning: A TutorialMance E. Harmon WL/AACF 2241 Avionics Circle Wright Laboratory Wright-Patterson AFB, OH 45433 mharmon@acm.org Stephanie S. Harmon Wright State University 156-8 Mallard Glen Drive Centerville, OH 45458Scope of Tuto
Midwestern State University - CSE - 6362
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: BGMall.dvi %Pages: 6 %PageOrder: Ascend %BoundingBox: 0 0 596 842 %DocumentPaperSizes: A4 %EndComments %DVIPSCommandLine: dvips BGMall.dvi -o BGMsingle.ps %DVIPSP
Midwestern State University - CSE - 6362
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: IDall.dvi %Pages: 4 %PageOrder: Ascend %BoundingBox: 0 0 596 842 %DocumentPaperSizes: A4 %EndComments %DVIPSCommandLine: dvips IDall.dvi -o IDsingle.ps %DVIPSPara
Midwestern State University - CSE - 6362
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: paper.dvi %Pages: 35 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips paper %DVIPSParameters: dpi=600, compressed, comments remo
Midwestern State University - CSE - 6362
A Universal Smart Transducer Interface: TTP/AH. Kopetz M. Holzmann W. Elmenreich hk@vmars.tuwien.ac.at Insitut fr Technische Informatik Technische Universitt Wien Austria AbstractThe primary goal of a universal smart transducer interface is the pro
Midwestern State University - CSE - 6362
Localized Algorithms In Wireless Ad-Hoc Networks: Location Discovery And Sensor ExposureSeapahn Meguerdichian1, Sasa Slijepcevic1, Vahag Karayan2, Miodrag Potkonjak12Computer Science Department, University of California Los Angeles Electrical Eng
Midwestern State University - CSE - 6362
%!PS-Adobe-2.0 %Creator: dvips 5.528 Copyright 1986, 1994 Radical Eye Software %Title: aaai98.dvi %CreationDate: Mon Apr 6 12:59:48 1998 %Pages: 6 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips -o aaai98.ps aaai98
Midwestern State University - CSE - 6362
%!PS-Adobe-2.0 %Creator: dvips 5.528 Copyright 1986, 1994 Radical Eye Software %Title: aaai98.dvi %CreationDate: Fri Feb 6 16:11:04 1998 %Pages: 7 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: Palatino-Roman Palatino-Bold Palatino-Ital
Midwestern State University - CSE - 6362
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: acm_tissec.dvi %Pages: 35 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentPaperSizes: Letter %EndComments %DVIPSCommandLine: dvips acm_tissec.dvi %DVIPSPara
Midwestern State University - CSE - 6362
%!PS-Adobe-2.0 %Creator: dvips 5.528 Copyright 1986, 1994 Radical Eye Software %Title: agents97.dvi %CreationDate: Tue Nov 12 15:42:01 1996 %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips -D 600 agents97.d
Midwestern State University - CSE - 6362
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Midwestern State University - CSE - 6362
Meeting the Computational Needs of Intelligent Environments: The Metaglue SystemMichael H. Coen, Brenton Phillips, Nimrod Warshawsky, Luke Weisman, Stephen Peters, and Peter Finin.MIT Artificial Intelligence Lab 545 Technology Square Cambridge, MA
Midwestern State University - CSE - 6362
%!PS-Adobe-2.0 %Creator: dvips 5.528 Copyright 1986, 1994 Radical Eye Software %Title: hci97.dvi %CreationDate: Mon Jun 2 11:19:28 1997 %Pages: 4 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips -D 600 -o hci97.ps hc
Midwestern State University - CSE - 6362
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: ie_aaai99.dvi %Pages: 6 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips -o ie_aaai99.ps ie_aaai99.dvi %DVIPSParameters: dpi=300
Midwestern State University - CSE - 6362
AbstractIn this article smart appliances are characterized as devices that are attentive to their environment. We introduce a terminology for situation, sensor data, context, and context-aware applications because it is important to gain a thorough
Midwestern State University - CSE - 6363
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: hw2.dvi %Pages: 2 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips -f -N0 hw2.dvi %DVIPSParameters: dpi=600, compressed, comment