Introduction to Maple L.K. Norris

Maple is a calculator

549 + 882; 32*ln(5.796); exp(5) - ln(7); evalf[50](%);

Maple has terrific graphics

plot([x^2,sin(3*x),cos(x)],x=-2..2,color=[red,blue,green]); x^2,sin(3*x),cos(x); 6(-%'CURVESG6$7[el7$$!$+"!""$"1='G4C;.))*!#;7$$!1m;HdNvs**!#:$"1(*RO#frK(**!#;7$$!1KLe9r]X**!#:$"1v_ZR%H'****!#;7$$!1m"HK*Q)=$**!#:$"1``ks=w()**!#;7$$!.v=ng#=**!#7$"1[(R^x8#f**!#;7$$!1M3_]uj/**!#:$"1L"\]#G.9**!#;7$$!1mm;HU,"*)*!#:$"1.1%*yWH_)*!#;7$$!-vV8_O)*!#6$"1.,^k,CU%*!#;7$$!1LLLe%G?y*!#:$"07xT#4S!y)!#:7$$!1nm"HdNvs*!#:$"1(zGMBDW)y!#;7$$!,voUIn*!#5$".dW+0#yn!#87$$!1LL3-)\&='*!#:$"1r)4"*[Q7\&!#;7$$!1nmm;p0k&*!#:$"2Xl)G%oVy0%!#<7$$!/vV[Hk;&*!#8$"17;[i\>@F!#;7$$!1L$3-)*G#p%*!#:$"1#*Q1D<eH8!#;7$$!1n"z>,:=U*!#:$!1tXX<$H())))!#=7$$!-vV5Su$*!#6$!1&RBk!4c0:!#;7$$!1L3_vq)pK*!#:$!2&yHm$>C=*G!#<7$$!1m;H2Jdz#*!#:$!1NZ(>[w'>U!#;7$$!/D1R"f@B*!#8$!1Nz&G#pHia!#;7$$!1LL$3<XZ=*!#:$!1-QmPie%f'!#;7$$!/vo/KUJ"*!#8$!1=X$*e#)z2x!#;7$$!1n;aQ75y!*!#:$!1$Gq$y\>C')!#;7$$!1LeRs#zZ-*!#:$!1A'f7gw.K*!#;7$$!1***\iId9(*)!#:$!1dfLIkcy(*!#;7$$!1#3xJK'zW*)!#:$!1wS2?;^9**!#;7$$!1lT5S`8=*)!#:$!16)pgykq)**!#;7$$!0DJqNu9*))!#9$!1B"eL.id***!#;7$$!1L$eRP8['))!#:$!1#*f$HvZ0%**!#;7$$!/D"yS"\6))!#8$!11()HBJ?S'*!#;7$$!1mmmT%p"e()!#:$!1Zhkn+q$4*!#;7$$!1mm"H-%\/()!#:$!14o[r!)44$)!#;7$$!1mm;/'=3l)!#:$!1e-_H3^4t!#;7$$!1mmT&=Vrf)!#:$!1eI"y8,37'!#;7$$!1mmmmxYV&)!#:$!1n8^Z]stZ!#;7$$!1mm"zM#z*[)!#:$!1ZN!*)4OJI$!#;7$$!1mm;Hp6O%)!#:$!1Nw>RN3Z<!#;7$$!1lmT5:W#Q)!#:$!2#G&RDcy#e9!#=7$$!1nmm"4m(G$)!#:$"1mJ;+4?f9!#;7$$!/D"GyX`F)!#8$"2'=hH&zz">I!#<7$$!1L$eRZD>A)!#:$"1_K%[@"y,X!#;7$$!1mT5l^]o")!#:$"1zB.*43!pe!#;7$$!-Dc[3:")!#6$"1dxl!G?e3(!#;7$$!1o;aQUC3!)!#:$"1s*z\s8"[*)!#;7$$!1LL$3i.9!z!#:$"1&)\<^D(*)*)*!#;7$$!1n;a)))Rm(y!#:$"1hu"=01p(**!#;7$$!-Dch(=&y!#6$"1uI-90!)****!#;7$$!1L$eRU7r#y!#:$"1Z`>P'Hv'**!#;7$$!2kmm;p[B!y!#;$"0yr#[9F!))*!#:7$$!2DL$3F7#Gv(!#;$"1;4W8$>Ia*!#;7$$!2&****\iPH.x!#;$"13_hXeZ&**)!#;7$$!2lm;zHmPl(!#;$"1w#\1z1(\#)!#;7$$!2NLLL$)QUg(!#;$"1LKn@g9At!#;7$$!20+](o8rav!#;$"1CL#**RLKB'!#;7$$!1nm;/R=0v!#:$"1c![!fV'p+&!#;7$$!1LLL$3,RX(!#:$"17&4'[^K@O!#;7$$!1,+]i#=ES(!#:$"2jm"eh/9]@!#<7$$!1nmmTaL^t!#:$"1["\1_O;G'!#<7$$!1ML$3i_+I(!#:$!0OAyy?l3*!#;7$$!1,+++)p([s!#:$!2a_=W*H+CC!#<7$$!1nm;zp[(>(!#:$!1bq=:C4#)Q!#;7$$!1MLLeT?Yr!#:$!1=*HDLw%[_!#;7$$!1,+]P8#\4(!#:$!1$yf%pq(3\'!#;7$$!1ML$3d%)=/(!#:$!0h*y"ehTh(!#:7$$!1nm;/y%)))p!#:$!1N#f@j"4X&)!#;7$$!1,+]P5"e$p!#:$!1jFr"R\,E*!#;7$$!1ML$3FuF)o!#:$!1O-o`0FT(*!#;7$$!1,+]()eDco!#:$!1#=i-Mm+*)*!#;7$$!1nm;/vtHo!#:$!1oC(po+j(**!#;7$$!1ML$37>K!o!#:$!1@i`-"G%****!#;7$$!1,+]P2qwn!#:$!1l!=-H-$f**!#;7$$!1ML$3(RmBn!#:$!1#R@#*y/2p*!#;7$$!1mm;/siqm!#:$!1Tq\)o$Hx"*!#;7$$!1KL3F0w<m!#:$!1NoaE7yM%)!#;7$$!1******\Q*[c'!#:$!1Z/7)*[a![(!#;7$$!1mm"H<F?^'!#:$!0-/MEP&Qj!#:7$$!1KL$e\g"fk!#:$!1r23%=Cu.&!#;7$$!1***\(=QH1k!#:$!2v9-LFl)4O!#<7$$!1mmmTrU`j!#:$!2A.dt4%p"4#!#<7$$!1LLek/c+j!#:$!1jbIqq=5_!#<7$$!1****\(y$pZi!#:$"1WZ_B\ti5!#;7$$!1m"z>"RJ$>'!#:$"18Id,efjE!#;7$$!1K$ek.M*Qh!#:$"2$RQQ&RBP>%!#<7$$!1*\P4;aX3'!#:$"0h?jI%[7c!#:7$$!1mmT&Gu,.'!#:$"146jSD?#)o!#;7$$!.vV`99#f!#7$"1a@Sn>\W))!#;7$$!1LLL$yaE"e!#:$"1OUg"oON()*!#;7$$!1mTNreq)y&!#:$"1)[DA9n='**!#;7$$!1**\Pfpvkd!#:$"0HfX-(z)***!#:7$$!2D$eRZ!33u&!#;$"1W&f-yNT)**!#;7$$!1mmTN"for&!#:$"1bwVd!fz"**!#;7$$!1K$e9Jh*oc!#:$"1tt_P!*oK'*!#;7$$!1****\([j5i&!#:$"0%))3Rq')["*!#:7$$!2bmTNmlJd&!#;$"1,xV^dYw%)!#;7$$!1KLeRyEDb!#:$"1s\x=\MHw!#;7$$!1**\i:+Pxa!#:$"1([M)ec'\i'!#;7$$!1mmm">s%Ha!#:$"1j/!*[0.%[&!#;7$$!1L$eke]bP&!#:$"1#fPuyDc1%!#;7$$!1***\7)*G;K&!#:$"2cS7B6k5a#!#<7$$!1m;/wtqn_!#:$"19=aH6`,&*!#<7$$!1LL$3x&y8_!#:$!1#p"oW=nbm!#<7$$!.Dc;k)f^!#7$!2/<<@'*3RE#!#<7$$!1nmTgD%f5&!#:$!2O-W*p"QJ!Q!#<7$$!1L$3_&4-_]!#:$!1ym)oBkIC&!#;7$$!2&******\$*4)*\!#;$!1M:`![*3Yl!#;7$$!2&****\Pj&R%\!#;$!1)RX(oXW#o(!#;7$$!2&*****\K8)*)[!#;$!1M;&=[dlh)!#;7$$!,DJqc$[!#5$!/Z*eZPQK*!#97$$!)t_"y%!"($!1L^IP_m&y*!#;7$$!1***\PzbWv%!#:$!1\/5yGZ?**!#;7$$!,vG%QFZ!#5$!1PZuSI))*)**!#;7$$!-D"y7.q%!#6$!0.09;QM***!#:7$$!+v7CtY!"*$!1;#4T![6J**!#;7$$!,DE)4>Y!#5$!1\W;:w!4h*!#;7$$!*Db\c%!")$!1&>%4/5pP!*!#;7$$!20++]UyF^%!#;$!1E)*yBu%*f#)!#;7$$!);ggW!"($!1ku.UKB!G(!#;7$$!+vZU3W!"*$!1kPKOU]Ah!#;7$$!*&zCcV!")$!1X!=u'*o]"[!#;7$$!+D62/V!"*$!1v3/%e'*)*Q$!#;7$$!)V*=D%!"($!2&=(f&>^$=)=!#<7$$!+vur*>%!"*$!1hNmZRfxK!#<7$$!*lSv9%!")$"2N6^zjIVB"!#<7$$!1L3F%4f,5%!#:$"2kcT568xi#!#<7$$!1m;aQvx_S!#:$"2Y)p5(p"4oR!#<7$$!/D"G)fR0S!#8$"0arQZH%G_!#:7$$!1LL3FW,eR!#:$"1x6$4./LQ'!#;7$$!.DcJ^K'Q!#7$"1c6r#G!3'G)!#;7$$!2jmmT?)[oP!#;$"1sd$[@qO_*!#;7$$!1$ekyd<.u$!#:$"0u$[Ng4Z(*!#:7$$!2'*\i:&p97P!#;$"1`nc4q%4!**!#;7$$!2jTg_KwRo$!#;$"1&*pkZ\7%)**!#;7$$!1L$e*)p0el$!#:$"1z='\7Og***!#;7$$!2j;ajWk%*f$!#;$"1n$p&=uA1)*!#;7$$!2'***\P>BJa$!#;$"1([[MkIpL*!#;7$$!1Le9T>y'[$!#:$"1=nOk7_,')!#;7$$!2jmT&)oS/V$!#;$"1eIhU#f4i(!#;7$$!2'*\PfV*4uL!#;$"1T=Za;>Bk!#;7$$!1LLL$=exJ$!#:$"1obPphNU]!#;7$$!1LL3_(H+F$!#:$"1<i4niZeP!#;7$$!1LL$3K,BA$!#:$"2QtJ*Q:n(R#!#<7$$!2FL$e*)GduJ!#;$"04!4'3Oz()*!#;7$$!1LLLeW%o7$!#:$!1'fNr<:IU%!#<7$$!1LL3Fg6zI!#:$!1e:.[SMj=!#;7$$!2DLLef(QJI!#;$!2(R[/q%\iC$!#<7$$!2EL$ek"fO)H!#;$!2Xt$eCQriX!#<7$$!2FLLLtIf$H!#;$!1(=NM+$z&y&!#;7$$!1mTN@7T!)G!#:$!1)*[H^o%z0(!#;7$$!2(**\P4<*[#G!#;$!1jz)\;`Z8)!#;7$$!2F$eR(>s$pF!#;$!1'pKJX3k)*)!#;7$$!2im;ao_Qr#!#;$!1%\i/)3M*e*!#;7$$!1$3F%HH4'o#!#:$!1x<&)*=Q?z*!#;7$$!2)*\PM<L$eE!#;$!1/#Q8oio#**!#;7$$!2j"zW<MdIE!#;$!1Ed_G)zG***!#;7$$!1L$e9m8Gg#!#:$!1mHCQ?j*)**!#;7$$!2j;z%\THZD!#;$!12$Q:k6fx*!#;7$$!,vju<\#!#5$!1f&\Tx;;H*!#;7$$!2j;z>YIEW#!#;$!1r7d4)pxk)!#;7$$!2LLekG'[$R#!#;$!1L\eJ@H;y!#;7$$!2-]P46UVM#!#;$!1W^N;VA:o!#;7$$!2nm;a$z>&H#!#;$!1m5FQlGmc!#;7$$!2K$e*)fP0YA!#;$!1OD>2tS%R%!#;7$$!.vVe4p>#!#7$!1R@U%f#=FI!#;7$$!1nT&)3awZ@!#:$!1b.v#3xUf"!#;7$$!2OLLLB@')4#!#;$!2&fDb;`!yE"!#=7$$!1nT&QG-Z/#!#:$"1G*\rso_["!#;7$$!2***\PMLy!*>!#;$"2Bq%=!=S&eI!#<7$$!1Le*[Qko$>!#:$"0%zAA%e>b%!#:7$$!2hm;aVXH)=!#;$"1RcsxG`Ef!#;7$$!2%*\Pf[E!H=!#;$"1Ck\xdPYr!#;7$$!2CLek`2^x"!#;$"1a@^E"R'z")!#;7$$!2a;zpe)=@<!#;$"1h,9+iM***)!#;7$$!2()***\P'psm"!#;$"1')Q"*fe4%e*!#;7$$!2))\(=UyfT;!#;$"1'oGMOo_x*!#;7$$!2()*\(o/Efh"!#;$"1sAu*y)[3**!#;7$$!2()\i:Da-f"!#;$"0$=v\t'H)**!#:7$$!2))**\iX#ek:!#;$"1Kc*=]i#)***!#;7$$!2*)*\il)QK^"!#;$"1&ot)z7H^)*!#;7$$!1*****\F&*=Y"!#:$"1Lpc(>b5Z*!#;7$$!1**\P%o^0T"!#:$"1%p_frdl'))!#;7$$!1***\P43#f8!#:$"0%en$\7@0)!#:7$$!2"**\7.X'yI"!#;$"1=GafW+Zq!#;7$$!2#****\74_c7!#;$"1N/EsJ.ve!#;7$$!2d;z>E\H?"!#;$"1&z)3aMP/X!#;7$$!2BLe9hx$\6!#;$"22Cc?:>w,$!#<7$$!2))\P4'f!e4"!#;$"2'H]2'\*3`9!#<7$$!2am;/JMA/"!#;$!2'eZ6;s"*)["!#=7$$!1>$e*)fEm))*!#;$!2Eim;WNqu"!#<7$$!1%)*\P454N*!#;$!1z&[9^^,I$!#;7$$!0lT&)e$>:))!#:$!1oAg4.@oZ!#;7$$!1:LL$3x%z#)!#;$!1.5TfWP8h!#;7$$!1<$e*)4Avy(!#;$!1sRTU]j5s!#;7$$!1>Le9rc&H(!#;$!1.kQ'3?6:)!#;7$$!1@$3-87O!o!#;$!1;w7;8Q9*)!#;7$$!1BL$e9d;J'!#;$!0z(f.P#Q[*!#:7$$!1C$e9;-(>e!#;$!1eyT"Gmq%)*!#;7$$!1EL3xruF`!#;$!1Z^9L8@'***!#;7$$!1Fe*[op<3&!#;$!1e0&GY*H*)**!#;7$$!1G$3F>#zN[!#;$!1)R=v5;!G**!#;7$$!1H3_+Z")*e%!#;$!1CMyI[p7)*!#;7$$!0LL$3s$QM%!#:$!18b@BL'Rk*!#;7$$!1(*\(oH(>8Q!#;$!1O_-fqz-"*!#;7$$!2Xm;aQdDG$!#<$!16Pb*pL9L)!#;7$$!1K$eRZ<>v#!#;$!1*fgG&*z$\t!#;7$$!2#****\ivF@A!#<$!1dGG%fq9='!#;7$$!2lmT5lP1p"!#<$!2u.e%H/Cd[!#<7$$!2RL$eRx**f6!#<$!0()3,Sx,T$!#:7$$!17+D"GyNH'!#<$!2t`10svo(=!#<7$$!1^omm;zr)*!#=$!1fJ:1Y5hH!#<7$$"0L$3x"yY_%!#;$"2V83@$)QKN"!#<7$$"2XL$3_Nl.5!#<$"2j!oC/9nlH!#<7$$"1O$ekGR[b"!#;$"11/.g'*>(\%!#;7$$"2vLL3-Dg5#!#<$"1@_F&4Vg!f!#;7$$"1R$3_v5sl#!#;$"1')\"33oP:(!#;7$$"21M$e*['R3K!#<$"1VzFUjL1#)!#;7$$"1U$eRA#efP!#;$"1p()RLN.N!*!#;7$$"2OML$ezw5V!#<$"0#[8rDD<'*!#:7$$"0,v$fBn]X!#:$"1o-XlwR*y*!#;7$$"1wmTgnd!z%!#;$"1iXvFo&3"**!#;7$$"1U$e9;"[I]!#;$"0*yy'=,5)**!#:7$$"13+]ibQq_!#;$"1'*HjgvY****!#;7$$"1TLekV>]d!#;$"1J\'*o>D"))*!#;7$$"1tmmmJ+Ii!#;$"1:@d#>b'e&*!#;7$$"1QL$3x?'*=(!#;$"12\fiu4J$)!#;7$$"1.++v$Q#\")!#;$"1W0x46$yT'!#;7$$"1r;/E]Wn')!#;$"1&Q3bn7I:&!#;7$$"0M$3x;l&=*!#:$"2<*ySJY!Rw$!#<7$$"13]7G$eQq*!#;$"2Z.`)y>,%G#!#<7$$"2wm;z\1A-"!#;$"1s="QD%H!\(!#<7$$"2X$3-jr-u5!#;$!1'H&[Vc>S!)!#<7$$"28+D"Gy%e7"!#;$!1:k$pwvwL#!#;7$$"2"o"HK\ow<"!#;$!1(*[.4x%\"Q!#;7$$"1NLLe"*[H7!#:$!10e5%*Q?+_!#;7$$"1o;/w\-$G"!#:$!160l+OA*\'!#;7$$"28+]PzglL"!#;$!1M8'))[d4j(!#;7$$"2WLe9h'4!R"!#;$!1j/KfaFm&)!#;7$$"2wmm"HCjV9!#;$!1w"*[JI5"G*!#;7$$"22+voCor\"!#;$!0")*G05/d(*!#:7$$"2RL$ekSq]:!#;$!1*oLY/R=)**!#;7$$"20]PM(>Zx:!#;$!1O8TvY*z***!#;7$$"1n;H#))RUg"!#:$!1()3;$*4r\**!#;7$$"2O$e9"z25j"!#;$!0M>q>*HP)*!#:7$$"2-+++qvxl"!#;$!1r#oh!Q[h'*!#;7$$"2-+DJ0],r"!#;$!1="z=)zxQ"*!#;7$$"2.+]iSCDw"!#;$!1&3d%H4#4R)!#;7$$"2.+v$f()*["=!#;$!1_H&R`PjV(!#;7$$"2/++D6ts'=!#;$!1ys@yda)H'!#;7$$"2/+DcYZ'>>!#;$!17:`Ktd0]!#;7$$"20+](==-s>!#;$!1s"R4%pG*e$!#;7$$"23+v=<'RC?!#;$!2v@i)=wc%3#!#<7$$"21++]_qn2#!#;$!2bPl5(*4\G&!#=7$$"22](o/aWF@!#;$"1)GBs&H&))*)*!#<7$$"22+vVG?"y@!#;$"2NEi6*yU&[#!#<7$$"23]iS;&zGA!#;$"2%4=6)3RO#R!#<7$$"1,+vV+ZzA!#:$"1(>2'\OMr_!#;7$$"1,vVB\9IB!#:$"0Aek0au\'!#:7$$"1,]7.)>3Q#!#:$"1(>qMg(otv!#;7$$"1,D"Go%\JC!#:$"1<R)pz=_Z)!#;7$$"1,+]i&p@[#!#:$"1T2([+_7=*!#;7$$"1,Dcw`VQD!#:$"1w1m)e>lr*!#;7$$"1,]i!>,Zf#!#:$"1-+@:_fv**!#;7$$"23Dcw4MGi#!#;$"/d$3xX*)***!#97$$"22](o/q'4l#!#;$"0:AGm96&**!#:7$$"21v=<"**4zE!#;$"1n1&oRUC$)*!#;7$$"20+](=GB2F!#;$"1$R;4ztPk*!#;7$$"2/]7Gj)\jF!#;$"1")=Bg(3B1*!#;7$$"2.+voWk(>G!#;$"16%fvqZKA)!#;7$$"/v$4EIg(G!#8$"1XPkL4W]r!#;7$$"+vgHKH!"*$"1E+meHQue!#;7$$"1L$e9T`G)H!#:$"1M#p/B5Ue%!#;7$$"2jm;zu5M.$!#;$"2/moK^#y)=$!#<7$$"2&**\P%3oR3$!#;$"2'zgx!HR,s"!#<7$$"2ELL3UDX8$!#;$"2ZF3-*4,?@!#=7$$"1m;HdF3&=$!#:$!2isf$3Z+,8!#<7$$"1***\P4ScB$!#:$!1Nsl:!RTy#!#;7$$"1K$3-V(>'G$!#:$!1'pBnc[L?%!#;7$$"2`mmmwanL$!#;$!1t$R!Ry/Eb!#;7$$"1KLe9bt!R$!#:$!0[nKJ]vz'!#:7$$"1****\iirWM!#:$!1idH5V<"*y!#;7$$"1mmT5qp)\$!#:$!1#y8$[=Iy()!#;7$$"1LLLexn_N!#:$!1coL]&=dV*!#;7$$"-D1&emg$!#6$!0rR'=6AY)*!#:7$$"1nm;a#R1m$!#:$!1k%36^n!****!#;7$$"1ML3-+i9P!#:$!1mSGR!e-*)*!#;7$$"1,++]2goP!#:$!1VhJK+kA&*!#;7$$"2u;H2L:v"Q!#;$!1zJ;Gz#R(*)!#;7$$"1M$e9"*Hk'Q!#:$!1**ouR-KK#)!#;7$$"2-](=#\W`"R!#;$!1w\D2zv8t!#;7$$"2nm;H2fU'R!#;$!1%=O2`&)zB'!#;7$$"1Lek`O<8S!#:$!1GYrdp7G]!#;7$$"2'**\PM#)3iS!#;$!2(\9]L#)=5P!#<7$$"1mT5:G+6T!#:$!1"*HM)f)\7B!#;7$$"1KL$eR<*fT!#:$!1e,Msa,^')!#<7$$"1mTg_RR8U!#:$"1PxH()RUut!#<7$$".v$40(oE%!#7$"2#H#3D'p/@B!#<7$$"1Me9mqM?V!#:$"2.$4r"=T]%Q!#<7$$"1nm"HiBQP%!#:$"1[#f!Q]Gq_!#;7$$"1,voz,IFW!#:$"1h%\=nu,c'!#;7$$"1N$ektw2[%!#:$"1E@YhCe"o(!#;7$$"1p"HKH`U`%!#:$"0/.V#yq0')!#:7$$"1-++])Hxe%!#:$"1-,Y))o")3$*!#;7$$"1NeRAr/QY!#:$"1yoWPrK_(*!#;7$$"1o;z%Rk$)o%!#:$"1p_O4"QS(**!#;7$$"1&e*)4.BNr%!#:$"1r4(o7U*****!#;7$$"1,v=n;oQZ!#:$"1to"QQ2*o**!#;7$$"1=aQ..%Qw%!#:$"1Cg?*e56))*!#;7$$"1MLeR*)**)y%!#:$"1t")**\;0P(*!#;7$$"2/+vV[L'*)[!#;$"1()=gkUH>')!#;7$$"1mm;H!o-*\!#:$"/G%pPt=s'!#97$$"1LL3xS'G/&!#:$"1MO>Ts(\Z&!#;7$$"+D,Y&4&!"*$"1@SpOE0#4%!#;7$$"1mm"H<c![^!#:$"22PGp**eug#!#<7$$"1ML$3A_1?&!#:$"2k!G%>x"3e5!#<7$$"1,+vo#[KD&!#:$!1"Hjd3Se<&!#<7$$"1omm;V%eI&!#:$!1B@,j,R!3#!#;7$$"1MLek.We`!#:$!10PS8!3:f$!#;7$$"29++DTO5T&!#;$!1(34G5$R8]!#;7$$"2X$3-j'eCY&!#;$!1r0qNEO$G'!#;7$$"2vmTN"4)Q^&!#;$!0#Q#=d&4/u!#:7$$"1,D1kJIlb!#:$!1#p/GIt*[$)!#;7$$"1MLe9as;c!#:$!0:j)pRb&4*!#:7$$"1nT5lw9oc!#:$!/;,#[0hi*!#97$$".Dc"*p&>d!#7$!1x)>AnE!G**!#;7$$"1;a)3/"GXd!#:$!1#>&\&H#z!***!#;7$$"1Le9m@*4x&!#:$!1iwj)eYT***!#;7$$"1\iS"H.nz&!#:$!1k#z\gp!Q**!#;7$$"1mmm;WTAe!#:$!1biQ7[*G#)*!#;7$$"1LeRZ([i(e!#:$!1,%fK"Hx$R*!#;7$$".D"yI3If!#7$!0F%>9L;?()!#:7$$"2l;a)3u"R)f!#;$!1/)3Mw(f>y!#;7$$"2CL$eR<vPg!#;$!0rmV*[^:n!#:7$$"1)\7.2'e"4'!#:$!0)Q^)>]mV&!#:7$$"1l;/,/UXh!#:$!1^I'*Q")G;S!#;7$$"1K3xJZD*>'!#:$!2JeV+(eR"\#!#<7$$"1****\i!*3`i!#:$!1GmD!46m,*!#<7$$"1mTN@z$\I'!#:$"1\>fpM:@l!#<7$$"1L$3-y'ycj!#:$"2LaN#He9!>#!#<7$$"/D1Rcj3k!#8$"2'=n$>1$HvO!#<7$$"1nm"z\%[gk!#:$"1())fyo'pr]!#;7$$"1M3xcLL7l!#:$"1/2Y_"RcM'!#;7$$"1,]i:A=kl!#:$"1=luZ)fjY(!#;7$$"1o"zW2Jgh'!#:$"1<Qvdyz1%)!#;7$$"1NLLL*zym'!#:$"1e9Gr`CW"*!#;7$$"1N$3-)G!4s'!#:$"1&4[AxI*p'*!#;7$$"1NL3Fe#Rx'!#:$"1<9J0WX^**!#;7$$"1N3_+tV+o!#:$"0jO2Q(=)***!#:7$$"1N$eRx[p#o!#:$"0xEZ"zq")**!#:7$$"2b$eRZ-Y`o!#;$"1aa*o>?@!**!#;7$$"2bLL3sr*zo!#;$"1Bh%=TF*f(*!#;7$$"1O$3xm%*H$p!#:$"17<*Hw7<H*!#;7$$"1OLe9w,')p!#:$"1$eQ^>')))e)!#;7$$"1O$e9cS!Rq!#:$"1XVb*y$>pw!#;7$$"1OLL3N1#4(!#:$"1#pe0Sdeb'!#;7$$"2D]P%)RZY9(!#;$"1$e*\#>s")G&!#;7$$"1p;a)GJs>(!#:$"2x&pJ'Qg"*)Q!#<7$$"1Oeky^")\s!#:$"0"*pb2lNR#!#:7$$"1-+vo!*R-t!#:$"1JHU4"z_Q)!#<7$$"1pT&)eH)\N(!#:$!10oAkFLtt!#<7$$"1O$e*[oc2u!#:$!1K'*36N)[H#!#;7$$"1-D1R2:gu!#:$!1jAF_DW&z$!#;7$$"1pm;HYt7v!#:$!1bJ))zau,_!#;7$$"1N3-jP0hv!#:$!1Ujj%*=)3Q'!#;7$$"1-](o*GP4w!#:$!1.e3)pthU(!#;7$$"1p"H2.#pdw!#:$!1M91v\p:$)!#;7$$"1OLek6,1x!#:$!0sCUB(yI!*!#:7$$"1-vV)HIVv(!#:$!1U#Rjy]kb*!#;7$$"1p;HK%\E!y!#:$!1x#[fPf;))*!#;7$$"1_(=#***3o#y!#:$!1"RA;b#zm**!#;7$$"1Oe9m&o4&y!#:$!1&Q$ym9f****!#;7$$"1>H2L"G^(y!#:$!1yo#))*Q))z**!#;7$$"1-+++xG**y!#:$!0'))[HLx2**!#:7$$"0n;/1Y+,)!#9$!1#H)=;2&Q#*)!#;7$$"1OL$3U/37)!#:$!13wJ;lqjp!#;7$$"1o;/,O=w")!#:$!12g(H8g4o&!#;7$$"1-+D"yi:B)!#:$!28]I>.q<C%!#<7$$"1O$e9'>%pG)!#:$!1-&pV**odo#!#;7$$"0nm;9@BM)!#9$!2@151d1e0"!#<7$$"1/]iSH&=R)!#:$"1,P+66X!G%!#<7$$"1OLeRZQT%)!#:$"1m$y<oiC!>!#;7$$"1p;aQl"4\)!#:$"1#oW#*)*\\L$!#;7$$"1.+]P$[/a)!#:$"1.j+C]$Rp%!#;7$$"1P$ek8!)**e)!#:$"1r"3hwl%\f!#;7$$"0n;a$>^R')!#9$"1L"GuKqQ2(!#;7$$"1-]PMP/*o)!#:$"1\L))RoOU!)!#;7$$"1OLLLbdQ()!#:$"1$R;wk4O$))!#;7$$"1p"z>w'Q"z)!#:$"1x^L:&RCY*!#;7$$"1-]i!*z>W))!#:$"1\3z/pCa)*!#;7$$"1hky(z+u&))!#:$"1-Tdt#zQ"**!#;7$$"1=z%\g.1())!#:$"1`Lg80'z&**!#;7$$"1w$4@T1Q)))!#:$"1(Rx!y9U')**!#;7$$"1N3F>#4q*))!#:$"1;B]Av@****!#;7$$"1_PfL[TB*)!#:$"1tFSm"fx(**!#;7$$"1om"zW?)\*)!#:$"1'Q*pK+s$*)*!#;7$$"1M$3_!HWb!*!#:$"1,(o]y)4[*)!#;7$$",DOl5;*!#5$"1dB()Rk`6r!#;7$$"1-](oW7;@*!#:$"1nd8Ra"z'f!#;7$$"1,+DJ&f@E*!#:$"14XbyXK(o%!#;7$$".Dch1FJ*!#7$"2'f6))[Z:*H$!#<7$$"1,+++PDj$*!#:$"2)R2)**)eEN=!#<7$$"1-]P%y+QT*!#:$"2'[R4@xb#H$!#=7$$"1-+voyMk%*!#:$!2PR?y56V="!#<7$$"1,]7`\*[^*!#:$!1#zbt"opqE!#;7$$"1-+]P?Wl&*!#:$!2C(\9gsy&4%!#<7$$"1,D"Gyh(>'*!#:$!1hN0%=*e@b!#;7$$".D"G:3u'*!#7$!16]htb3,o!#;7$$"1-vVt7SG(*!#:$!1X,I;OP+z!#;7$$"1,+v=5s#y*!#:$!179ozaK!z)!#;7$$"/D1k2/P)*!#8$!1#oL:6gtW*!#;7$$"1,]P40O"*)*!#:$!1@R"p1oS&)*!#;7$$"1EJqX/%\!**!#:$!1&**311=_"**!#;7$$"0DJ?Q?&=**!#9$!1axCDP"*f**!#;7$$"1v$f$=.5K**!#:$!1fME))33))**!#;7$$"/voa-oX**!#8$!0'*yh!Gn****!#:7$$"1^PMF,%G(**!#:$!1Po-)\"3t**!#;7$$"$+"!""$!1='G4C;.))*!#;-%&COLORG6&%$RGBG$"#5!""$""!!""$""!!""-%'CURVESG6$7au7$$!$+"!""$!1CXw!H:2R)!#;7$$!1LLLe%G?y*!#:$!1t%Huj='o$*!#;7$$!1nmm;p0k&*!#:$!1N*[`bjJ!**!#;7$$!/vV[Hk;&*!#8$!0UGnyLy&**!#:7$$!1L$3-)*G#p%*!#:$!1Tx(4;A,***!#;7$$!1n"z>,:=U*!#:$!1YWq/h&*****!#;7$$!-vV5Su$*!#6$!1RX^9NJ()**!#;7$$!1L3_vq)pK*!#:$!1tMp1GA_**!#;7$$!1m;H2Jdz#*!#:$!13fL`Gw%*)*!#;7$$!/D1R"f@B*!#8$!11y10G1:)*!#;7$$!1LL$3<XZ=*!#:$!12$f2!=I8(*!#;7$$!1***\iId9(*)!#:$!1z7W-x(**)*)!#;7$$!1mmmT%p"e()!#:$!1:+Yh@Bfy!#;7$$!1mmmmxYV&)!#:$!1.9%3!yShj!#;7$$!1nmm"4m(G$)!#:$!0r7Ncn9d%!#:7$$!1L$eRZD>A)!#:$!1NC)oawpf$!#;7$$!-Dc[3:")!#6$!1rK!=Ql9e#!#;7$$!1o;aQUC3!)!#:$!2AjX>-:l`"!#<7$$!1LL$3i.9!z!#:$!2N#[Au9USZ!#=7$$!2&****\iPH.x!#;$"2=hY[W#=,:!#<7$$!1nm;/R=0v!#:$"2D9T4!=o<M!#<7$$!1ML$3i_+I(!#:$"1*3"pfwKg_!#;7$$!1,+]P8#\4(!#:$"16d#35+C)o!#;7$$!1ML$3FuF)o!#:$"1*e<wLwcD)!#;7$$!1mm;/siqm!#:$"1vRwOfye#*!#;7$$!1******\Q*[c'!#:$"1t?k.(=eg*!#;7$$!1KL$e\g"fk!#:$"1sf<CGcX)*!#;7$$!1***\(=QH1k!#:$"1c(z*HrJC**!#;7$$!1mmmTrU`j!#:$"1z[!\cS`(**!#;7$$!1LLek/c+j!#:$"1:6]d0\)***!#;7$$!1****\(y$pZi!#:$"1GoD@Cq$***!#;7$$!1m"z>"RJ$>'!#:$"10k)e$Gkf**!#;7$$!1K$ek.M*Qh!#:$"1eo=U"Qh*)*!#;7$$!1*\P4;aX3'!#:$"1KU6)3wL!)*!#;7$$!1mmT&Gu,.'!#:$"1-$>$>4j"o*!#;7$$!.vV`99#f!#7$"1*Ri0f:FN*!#;7$$!1LLL$yaE"e!#:$"1c9kd*yK"*)!#;7$$!1****\([j5i&!#:$"/O_2`*o)y!#97$$!1mmm">s%Ha!#:$"1Py/<,*=d'!#;7$$!1***\7)*G;K&!#:$"1tRKHOWAd!#;7$$!1LL$3x&y8_!#:$"2Yp2Yp3l![!#<7$$!1nmTgD%f5&!#:$"1&*>ygusMQ!#;7$$!2&******\$*4)*\!#;$"2c\ux%4R=G!#<7$$!2&*****\K8)*)[!#;$"1/y"3S\\w"!#;7$$!)t_"y%!"($"1_=#[8D$3p!#<7$$!+v7CtY!"*$!1Nl\*oqP"R!#<7$$!*Db\c%!")$!2#z!\+!>+p9!#<7$$!);ggW!"($!2d0`>y`8\#!#<7$$!*&zCcV!")$!1mzk=-g'[$!#;7$$!)V*=D%!"($!2bUEA78RW%!#<7$$!*lSv9%!")$!1#)GD9r(GN&!#;7$$!1LL3FW,eR!#:$!1@#zhRI$[o!#;7$$!2jmmT?)[oP!#;$!1n#fv"e_)4)!#;7$$!2'***\P>BJa$!#;$!1;f1]*QY?*!#;7$$!1LLL$=exJ$!#:$!1[R#)=%H_%)*!#;7$$!1LL3_(H+F$!#:$!1&)\/!)Gj<**!#;7$$!1LL$3K,BA$!#:$!0_*zI#[u'**!#:7$$!2FL$e*)GduJ!#;$!1FA58?c%***!#;7$$!1LLLeW%o7$!#:$!0'eRtC"*)***!#:7$$!1LL3Fg6zI!#:$!1V$*>.(*[!)**!#;7$$!2DLLef(QJI!#;$!1V]nhcLR**!#;7$$!2EL$ek"fO)H!#;$!1/Q1!3Wb()*!#;7$$!2FLLLtIf$H!#;$!0U0#[-E*y*!#:7$$!2im;ao_Qr#!#;$!1(3Hxob!*4*!#;7$$!,vju<\#!#5$!1*eXb>R>'z!#;7$$!2nm;a$z>&H#!#;$!17<k$Guoi'!#;7$$!2OLLLB@')4#!#;$!1.L?3YbO]!#;7$$!2***\PMLy!*>!#;$!1$R-z*e[xS!#;7$$!2hm;aVXH)=!#;$!1e"=n)f/rI!#;7$$!2CLek`2^x"!#;$!2-fO#Ru#*G?!#<7$$!2()***\P'psm"!#;$!0"4DaKPK'*!#;7$$!2))**\iX#ek:!#;$"1XHXc0$Q@'!#=7$$!1*****\F&*=Y"!#:$"26?$)\Gfo3"!#<7$$!1***\P43#f8!#:$"2X-CHxH,5#!#<7$$!2#****\74_c7!#;$"2;cE\cu74$!#<7$$!2am;/JMA/"!#;$"1.CEl6#H/&!#;7$$!1:LL$3x%z#)!#;$"1i<d")y)Qw'!#;7$$!1BL$e9d;J'!#;$"12G@[=St!)!#;7$$!0LL$3s$QM%!#:$"1bD>ldHr!*!#;7$$!2Xm;aQdDG$!#<$"1;3l)>hgY*!#;7$$!2#****\ivF@A!#<$"1dLC6!4Vv*!#;7$$!2lmT5lP1p"!#<$"1>Db$HFu&)*!#;7$$!2RL$eRx**f6!#<$"1)Q'4rczK**!#;7$$!17+D"GyNH'!#<$"1;$eB(>?!)**!#;7$$!1^omm;zr)*!#=$"1)\.Eu7&****!#;7$$"0L$3x"yY_%!#;$"184'**Ql(*)**!#;7$$"2XL$3_Nl.5!#<$"1#>8@Cw'\**!#;7$$"1O$ekGR[b"!#;$"1(o]81n$z)*!#;7$$"2vLL3-Dg5#!#<$"1&34pR^!z(*!#;7$$"21M$e*['R3K!#<$"1&R"=!e4(*[*!#;7$$"2OML$ezw5V!#<$"1Cd]!Qj^3*!#;7$$"1tmmmJ+Ii!#;$"1pSyl]J@")!#;7$$"1.++v$Q#\")!#;$"1&>$oo"Q#fo!#;7$$"2wm;z\1A-"!#;$"1/AkT]%[@&!#;7$$"1NLLe"*[H7!#:$"2x[F/Y">ZL!#<7$$"28+]PzglL"!#;$"2.n'pCY*4K#!#<7$$"2wmm"HCjV9!#;$"2#)eo*RX@o7!#<7$$"2RL$ekSq]:!#;$"2O-#yO544?!#=7$$"2-+++qvxl"!#;$!1)H4FAupo)!#<7$$"2.+]iSCDw"!#;$!2oZZ[$fb0>!#<7$$"2/++D6ts'=!#;$!2$R!)*HCD:#H!#<7$$"20+](==-s>!#;$!1pGWC!oa!R!#;7$$"21++]_qn2#!#;$!1Mf4S!)fY[!#;7$$"1,+vV+ZzA!#:$!1G'>_&RF3l!#;7$$"1,+]i&p@[#!#:$!1h])e7eM!z!#;7$$"20+](=GB2F!#;$!1a;:(G'Rr!*!#;7$$"+vgHKH!"*$!0<J!zIx"y*!#:7$$"1L$e9T`G)H!#:$!144,/OFu)*!#;7$$"2jm;zu5M.$!#;$!1*G'3C/aT**!#;7$$"2&**\P%3oR3$!#;$!/u!*Q;S$)**!#97$$"2ELL3UDX8$!#;$!1Q_9s-v****!#;7$$"1m;HdF3&=$!#:$!1)pp[aW0***!#;7$$"1***\P4ScB$!#:$!1LcJ#)z!e&**!#;7$$"1K$3-V(>'G$!#:$!14Tw`$Hc*)*!#;7$$"2`mmmwanL$!#;$!1BDpXC;5)*!#;7$$"1LLLexn_N!#:$!06f4]xo;*!#:7$$"1,++]2goP!#:$!1kRxMb'y4)!#;7$$"2nm;H2fU'R!#;$!1=f-ICp-o!#;7$$"1KL$eR<*fT!#:$!1*[pu;FzC&!#;7$$".v$40(oE%!#7$!2LEo))*zD4V!#<7$$"1nm"HiBQP%!#:$!2j6IZLU8K$!#<7$$"1N$ektw2[%!#:$!2EnBH9qaH#!#<7$$"1-++])Hxe%!#:$!2rD:6;lLC"!#<7$$"1o;z%Rk$)o%!#:$!2[-"=duA-C!#=7$$"1MLeR*)**)y%!#:$"1`/?yU]`w!#<7$$"2/+vV[L'*)[!#;$"2i8J#)>zJw"!#<7$$"1mm;H!o-*\!#:$"1@F1on;VF!#;7$$"1ML$3A_1?&!#:$"2'*o'R"zF4p%!#<7$$"29++DTO5T&!#;$"1h1&H(f#=V'!#;7$$"1MLe9as;c!#:$"14t;o5:gy!#;7$$"1mmm;WTAe!#:$"1'4g#f**4d*)!#;7$$".D"yI3If!#7$"18$o$oW/$Q*!#;7$$"2CL$eR<vPg!#;$"1BhH#p?.q*!#;7$$"1)\7.2'e"4'!#:$"/4s$\4q")*!#97$$"1l;/,/UXh!#:$"1nVHXTD0**!#;7$$"1K3xJZD*>'!#:$"1yz%Q'*)zk**!#;7$$"1****\i!*3`i!#:$"13D7A9Z&***!#;7$$"1mTN@z$\I'!#:$"1z7<7Uj(***!#;7$$"1L$3-y'ycj!#:$"1\40Tj#H(**!#;7$$"/D1Rcj3k!#8$"14a:;UT@**!#;7$$"1nm"z\%[gk!#:$"1CUs'GOK%)*!#;7$$"1,]i:A=kl!#:$"1eH:&f%z2'*!#;7$$"1NLLL*zym'!#:$"1F.'RvI"p#*!#;7$$"2bLL3sr*zo!#;$"1,:cu(e9F)!#;7$$"1OLL3N1#4(!#:$"13FaM]5.p!#;7$$"1-+vo!*R-t!#:$"1U&3\\d.C&!#;7$$"1pm;HYt7v!#:$"2M^p9_CmM$!#<7$$"1OLek6,1x!#:$"0*3;\3Ju9!#:7$$"1-+++xG**y!#:$!2%\P=6o0HX!#=7$$"0n;/1Y+,)!#9$!2-&\MsnJa:!#<7$$"1OL$3U/37)!#:$!1u5++*zmj#!#;7$$"1-+D"yi:B)!#:$!2&RM?N3t'o$!#<7$$"0nm;9@BM)!#9$!2'>"p5L,;p%!#<7$$"1.+]P$[/a)!#:$!19pYP<3Qj!#;7$$"1OLLLbdQ()!#:$!1MT[SudOx!#;7$$"1om"zW?)\*)!#:$!1:ZE=:7$*))!#;7$$",DOl5;*!#5$!1NnfM))Ga'*!#;7$$"1,+DJ&f@E*!#:$!1B[egt1o)*!#;7$$"1,+++PDj$*!#:$!1-8$fzz5)**!#;7$$"1-]P%y+QT*!#:$!1`>/9vR****!#;7$$"1-+voyMk%*!#:$!1BNQL@<#***!#;7$$"1,]7`\*[^*!#:$!/#H46A%f**!#97$$"1-+]P?Wl&*!#:$!1H^U06B,**!#;7$$"1,+v=5s#y*!#:$!1,!e%4X>m$*!#;7$$"$+"!""$!1CXw!H:2R)!#;-%&COLORG6&%$RGBG$""!!""$"#5!""$""!!""-%'CURVESG6$7S7$$!$+"!""$"%+5!""7$$!1nmm;p0k&*!#:$"1^R_q%=r9*!#97$$!1LL$3<XZ=*!#:$"1AYJ&QafV)!#97$$!1mmmT%p"e()!#:$"0Q%*o>`0n(!#87$$!1nmm"4m(G$)!#:$"1X'p4YMo$p!#97$$!1LL$3i.9!z!#:$"16=$z"z@Vi!#97$$!1nm;/R=0v!#:$"1Ti`V&yFj&!#97$$!1,+]P8#\4(!#:$"0GJ&y3zL]!#87$$!1mm;/siqm!#:$"2'RopHns\W!#:7$$!1****\(y$pZi!#:$"14mBmxO.R!#97$$!1LLL$yaE"e!#:$"1(y?Ic&pyL!#97$$!1mmm">s%Ha!#:$"1j"3!Go"z%H!#97$$!2&******\$*4)*\!#;$"1UqC6(*4)\#!#97$$!*Db\c%!")$"2eD]Mk")Q3#!#:7$$!*lSv9%!")$"2ACSVM4-s"!#:7$$!2jmmT?)[oP!#;$"20L%\M.:?9!#:7$$!1LLL$=exJ$!#:$"2)HvIO>v+6!#:7$$!2FLLLtIf$H!#;$"/7$4F*o>')!#87$$!,vju<\#!#5$"1b#)3W3%*3i!#:7$$!2OLLLB@')4#!#;$"1Bv*436US%!#:7$$!2()***\P'psm"!#;$"1x$HT/)yzF!#:7$$!2#****\74_c7!#;$"21$)\N![%)y:!#;7$$!1:LL$3x%z#)!#;$"1bTMxS(\&o!#;7$$!0LL$3s$QM%!#:$"2)4,Dp@*o)=!#<7$$!1^omm;zr)*!#=$"0J252F_u*!#>7$$"2OML$ezw5V!#<$"2CMf!R?Fe=!#<7$$"1.++v$Q#\")!#;$"0Fd#4'35k'!#:7$$"1NLLe"*[H7!#:$"2B@f/fV;^"!#;7$$"2-+++qvxl"!#;$"2/\5:F?#[F!#;7$$"21++]_qn2#!#;$"1y(3N"e(HJ%!#:7$$"1,+]i&p@[#!#:$"1Z9+Pd;hh!#:7$$"+vgHKH!"*$"11/Yr-O)f)!#:7$$"2`mmmwanL$!#;$"27F(GPKR86!#:7$$"1,++]2goP!#:$"1d+Hh^B?9!#97$$"1KL$eR<*fT!#:$"2tn:SF"\I<!#:7$$"1-++])Hxe%!#:$"2V5ew^EZ5#!#:7$$"1mm;H!o-*\!#:$"1'H#H+vF!\#!#97$$"29++DTO5T&!#;$"2')3Sd]Jz#H!#:7$$"1mmm;WTAe!#:$"1$ySR'40!R$!#97$$"1****\i!*3`i!#:$"17dN#G7,"R!#97$$"1NLLL*zym'!#:$"1O\`!GigW%!#97$$"1OLL3N1#4(!#:$"1NLi![O(H]!#97$$"1pm;HYt7v!#:$"10!G3;=Tk&!#97$$"1-+++xG**y!#:$"1Krt;Y()Ri!#97$$"0nm;9@BM)!#9$"1p)pI?K%fp!#97$$"1OLLLbdQ()!#:$"1*>x^Bqij(!#97$$",DOl5;*!#5$"1E(*fd=^#R)!#97$$"1-+]P?Wl&*!#:$"1>sFP"o(\"*!#97$$"$+"!""$"%+5!""-%&COLORG6&%$RGBG$"#5!""$"#5!""$""!!""-%*AXESSTYLEG6#%'NORMALG-%(SCALINGG6#%.UNCONSTRAINEDG-%%ROOTG6'-%)BOUNDS_XG6#$"$q"!""-%)BOUNDS_YG6#$"$?"!""-%-BOUNDS_WIDTHG6#$"%5P!""-%.BOUNDS_HEIGHTG6#$"%SO!""-%)CHILDRENG6"

plot3d(sin(x^2+y^2),x=-2.5..2.5,y=-2.5..2.5);

plot3d(25-x^2-y^2,x=-5..5,y=-5..5,style=contour,axes=boxed,thickness=5);

plots[animatecurve]({x-x^3,sin(x)}, x=0..Pi/2);

Maple does Calculus

f:= sin(x^2*y*z^3) + exp(x*y*z); diff(f,x); Int(%,x); int(diff(f,x),x);

maximize(x^3-2*x^2+x+1,x=-100..100); minimize(x^3-2*x^2+x+1,x=-100..100);

Maple does Differential Equations

diff(y(x),x)=-10*y(x); dsolve(diff(y(x),x)=-10*y(x),y(x)); with(DETools): deS := diff(x(t),t)=-0.5*x(t)*y(t); deI := diff(y(t),t)=+0.5*x(t)*y(t)-0.15*y(t); DEplot( [deS,deI], [x(t),y(t)], t=0..40, x=0..1, y=0..0.6, [[x(0)=0.99,y(0)=0.01]], arrows=medium);

Maple does Linear Algebra

A:= linalg[randmatrix](3,3,sparse,symmetric); linalg[eigenvalues](A); evalf(%);

B:= linalg[randmatrix](3,3,sparse); linalg[multiply](A,B); linalg[det](A);

Maple does Mathematics

The following packages are available: algcurves tools for studying one-dimensional algebraic curves defined by multi-variate polynomials ArrayTools tools used for low level manipulation of Matrices, Vectors, and Arrays AudioTools commands for audio file I/O and manipulation Cache commands for cache table manipulation CodeGeneration tools for translating Maple code to other languages CodeTools commands for analyzing and profiling Maple code combinat combinatorial functions, including commands for calculating permutations and combinations of lists, and partitions of integers combstruct commands for generating and counting combinatorial structures ContextMenu tools for building and modifying context-sensitive menus CurveFitting commands that support curve-fitting DEtools tools for manipulating, solving, and plotting systems of differential equations diffalg commands for manipulating systems of differential polynomial equations (ODEs or PDEs) difforms commands for handling differential forms DiscreteTransforms commands for computing transforms of discrete data Domains commands for creating domains of computation ExcelTools commands that allow access to stored data in Microsoft Excel format ExternalCalling tools for calling external functions from Maple FileTools commands for file manipulation and processing finance commands for financial computations GaussInt commands for working with Gaussian integers genfunc commands for manipulating rational generating functions geom3d commands for three-dimensional Euclidean geometry geometry commands for two-dimensional Euclidean geometry gfun commands for generating function manipulation GraphTheory collection of routines for creating, drawing, manipulating, and testing graphs Groebner commands for Groebner basis calculations in skew algebras group commands for working with permutation and finitely-presented groups hashmset commands for multisets InstallerBuilder create an installer for a Maple toolbox IntegerRelations commands for approximating floating numbers by integer linear combinations of symbolic constants IntegrationTools tools used for manipulation of integrals inttrans commands for working with integral transforms and their inverses LargeExpressions tools for managing creation of computation sequences LibraryTools commands for library manipulation and processing

liesymm commands for characterizing the contact symmetries of systems of partial differential equations LinearAlgebra linear algebra package based on rtable data structures LinearFunctionalSystems construct solutions of linear functional systems of equations LinearOperators tools for solving linear functional equations, building annihilators and minimal annihilators, and performing accurate integration ListTools tools for manipulating lists Logic Boolean logic package LREtools commands for manipulating, plotting, and solving linear recurrence equations LREtools[HypergeometricTerm] tools for constructing solutions to linear difference equations depending on hypergeometric terms Maplets create graphical user interfaces for Maple MathematicalFunctions tools providing information about mathematical functions MathML commands for importing and exporting Maple expressions as MathML Matlab MATLAB Link MatrixPolynomialAlgebra symbolic manipulation for polynomial matrices MmaTranslator tools for translating from Mathematica to Maple, expressions, command operations and notebooks networks tools for constructing, drawing, and analyzing combinatorial networks numapprox commands for calculating polynomial approximations to functions on a given interval numtheory commands for classic number theory Optimization optimization package OreTools Pseudo-linear algebra Ore_algebra routines for basic calculations in algebras of linear operators OrthogonalSeries tools for series of classical orthogonal polynomials orthopoly commands for generating various types of orthogonal polynomials padic commands for computing p-adic approximations to real numbers PDEtools tools for solving partial differential equations Physics an environment implementing the standard mathematical physics computational objects plots graphics package plottools commands for generating and manipulating graphical objects PolynomialIdeals commands for computing with polynomial ideals PolynomialTools commands for manipulating polynomial objects powseries commands for creating and manipulating formal power series represented in general form process functions for writing a limited class of multi-process Maple programs. Supported only on UNIX operating systems. ProcessControl statistical process control QDifferenceEquations construct solutions of linear q-difference equation RandomTools tools for working with random objects RationalNormalForms rational normal forms as basis for constructing minimal representation and decomposition of hypergeometric terms RealDomain provides a real number context

RegularChains tools for solving systems of algebraic equations symbolically RootFinding root-finding package ScientificConstants physical constants and Periodic Table Element properties ScientificErrorAnalysis commands for representation and construction of numerical quantities with a value and error simplex commands for linear optimization using the simplex algorithm Slode commands for finding formal power series solutions of linear ODEs SNAP symbolic-numeric algorithms for polynomial arithmetic Sockets tools for network communication in Maple SoftwareMetrics functions for quantifying code complexity SolveTools commands for solving systems of algebraic equations Spread tools for working with spreadsheets in Maple Statistics statistics package StringTools optimized commands for string manipulation Student collection of packages covering undergraduate mathematics courses Student[Calculus1] assists with the teaching and learning of single-variable calculus Student[LinearAlgebra] assists with the teaching and learning of basic linear algebra Student[MultivariateCalculus] assists with the teaching and learning of multivariate calculus Student[Precalculus] assists with the teaching and learning of precalculus Student[VectorCalculus] assists with the teaching and learning of vector calculus sumtools commands for computing indefinite and definite sums SumTools tools for finding closed forms of indefinite and definite sums tensor commands for calculating with tensors and their applications in General Relativity Theory Threads provides user level commands for using threads in Maple Tolerances provides computations with tolerances ToolboxInstaller[Data] access data during installation of a Maple toolbox Typesetting tools for programmatic access to Standard Worksheet Typeset and 2-D equation Parsing options TypeTools commands for extending the set of recognized types in the type command Units commands for converting values between units, and environments for performing calculations with units VariationalCalculus tools for Calculus of Variations computations VectorCalculus vector calculus package Worksheet tools for generating and manipulating Maple worksheets XMLTools tools for using XML documents

Example of a Maple Tutor -- Riemann Sums Student[Calculus1][ApproximateIntTutor]();

During the BREAK select a partner and sign up for Monday's presentations. Group 1: Group 2: Group 3: Group 4: Group 5: Group 6: Group 7: Group 8: Group 9: Group 10: Group 11: Group 12: Group 13: Group 14: Group 15: Group 16: Group 17:

Presentation Assignments The_List_Of_Topics:= combinat[randperm](["Anti-derivatives","Approximate Integration","Arc Lengths","Curve Analysis","Derivatives","Differentiation methods","Function average","Function inverse","Integration methods","Limit methods","Mean Value Theorem","Newton's method","Secants","Surface of Revolution","Tangents","Taylor Approximations","Volume of revolution"]); nops(The_List_Of_Topics); The_List_of_Groups:= [seq(cat(Group,i),i=1..17)] ; for i to 17 do The_List_of_Groups[i] = The_List_Of_Topics[i]; od;

In your presentation you should: (1) Demonstrate the tutor (2) Make a judgement as to whether or not the tutor would be useful to MA 141/241 students, and present your recommendation.

liesymm commands for characterizing the contact symmetries of systems of partial differential equations LinearAlgebra linear algebra package based on rtable data structures LinearFunctionalSystems construct solutions of linear functional systems of equations LinearOperators tools for solving linear functional equations, building annihilators and minimal annihilators, and performing accurate integration ListTools tools for manipulating lists Logic Boolean logic package LREtools commands for manipulating, plotting, and solving linear recurrence equations LREtools[HypergeometricTerm] tools for constructing solutions to linear difference equations depending on hypergeometric terms Maplets create graphical user interfaces for Maple MathematicalFunctions tools providing information about mathematical functions MathML commands for importing and exporting Maple expressions as MathML Matlab MATLAB Link MatrixPolynomialAlgebra symbolic manipulation for polynomial matrices MmaTranslator tools for translating from Mathematica to Maple, expressions, command operations and notebooks networks tools for constructing, drawing, and analyzing combinatorial networks numapprox commands for calculating polynomial approximations to functions on a given interval numtheory commands for classic number theory Optimization optimization package OreTools Pseudo-linear algebra Ore_algebra routines for basic calculations in algebras of linear operators OrthogonalSeries tools for series of classical orthogonal polynomials orthopoly commands for generating various types of orthogonal polynomials padic commands for computing p-adic approximations to real numbers PDEtools tools for solving partial differential equations Physics an environment implementing the standard mathematical physics computational objects plots graphics package plottools commands for generating and manipulating graphical objects PolynomialIdeals commands for computing with polynomial ideals PolynomialTools commands for manipulating polynomial objects powseries commands for creating and manipulating formal power series represented in general form process functions for writing a limited class of multi-process Maple programs. Supported only on UNIX operating systems. ProcessControl statistical process control QDifferenceEquations construct solutions of linear q-difference equation RandomTools tools for working with random objects RationalNormalForms rational normal forms as basis for constructing minimal representation and decomposition of hypergeometric terms RealDomain provides a real number context RegularChains tools for solving systems of algebraic equations symbolically RootFinding root-finding package ScientificConstants physical constants and Periodic Table Element properties ScientificErrorAnalysis commands for representation and construction of numerical quantities with a value and error simplex commands for linear optimization using the simplex algorithm Slode commands for finding formal power series solutions of linear ODEs SNAP symbolic-numeric algorithms for polynomial arithmetic Sockets tools for network communication in Maple SoftwareMetrics functions for quantifying code complexity SolveTools commands for solving systems of algebraic equations Spread tools for working with spreadsheets in Maple Statistics statistics package StringTools optimized commands for string manipulation Student collection of packages covering undergraduate mathematics courses Student[Calculus1] assists with the teaching and learning of single-variable calculus Student[LinearAlgebra] assists with the teaching and learning of basic linear algebra Student[MultivariateCalculus] assists with the teaching and learning of multivariate calculus Student[Precalculus] assists with the teaching and learning of precalculus Student[VectorCalculus] assists with the teaching and learning of vector calculus sumtools commands for computing indefinite and definite sums SumTools tools for finding closed forms of indefinite and definite sums tensor commands for calculating with tensors and their applications in General Relativity Theory Threads provides user level commands for using threads in Maple Tolerances provides computations with tolerances ToolboxInstaller[Data] access data during installation of a Maple toolbox Typesetting tools for programmatic access to Standard Worksheet Typeset and 2-D equation Parsing options TypeTools commands for extending the set of recognized types in the type command Units commands for converting values between units, and environments for performing calculations with units VariationalCalculus tools for Calculus of Variations computations VectorCalculus vector calculus package Worksheet tools for generating and manipulating Maple worksheets XMLTools tools for using XML documents