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Hello Everyone;

Hope you are fine. I am solving system of odes using rk-4 method. For this purpose I formulate the "residual" (on maple file) which is further function of "x" and "y". With the help of discritization point further I convert "residual" into system of ode's. Then i used "sys111 := solve(odes_Combine, `~`[diff](var, t))" to simplify the system. Finnally i applied RK-1. Code is pasted and attached. This all process is for "N=4". When i increase the value of "N", number of Odes increase accordingly. With increasing value of "N" the comand "sys111 := solve(odes_Combine, `~`[diff](var, t))" taking a lot of time due to heavy computation. Is that any way to proceed without this comand for rk-1?

Question1.mw

 


 

restart; with(PDEtools, Solve); with(LinearAlgebra); with(plots); DD := 30; Digits := DD; N := 4; nu := 1.0; t0, tf := 0, 1; Ntt := 10; h := evalf((tf-t0)/(Ntt-1)); xmin := 0; xmax := Pi; `Δxx` := 1.0*xmax/N; ymin := 0; ymax := xmax; `Δyy` := 1.0*ymax/N

0, 1

 

.111111111111111111111111111111

 

.785398163397448309615660845820

 

.785398163397448309615660845820

(1)

residual := 1.000000000*(diff(A[0, 0](t), t))-32.00000000*A[2, 0](t)-32.00000002*A[0, 2](t)+(diff(A[1, 1](t), t))*(4.000000001-8.000000003*y-8.000000003*x+16.00000000*x*y)+(diff(A[1, 0](t), t))*(-2.000000000+4.000000000*x)+(diff(A[0, 3](t), t))*(-4.000000000+40.00000000*y-95.99999994*y^2+64.00000001*y^3)+(diff(A[0, 2](t), t))*(3.000000000-16.00000001*y+16.00000001*y^2)+(diff(A[0, 1](t), t))*(-2.000000001+4.000000000*y)-A[3, 3](t)*(768.0000000-7680.000000*y+18432.00000*y^2-12288.00000*y^3-1536.000000*x+15360.00000*x*y-36863.99998*x*y^2+24576.00000*x*y^3)-A[3, 2](t)*(-576.0000002+3072.000000*y-3072.000000*y^2+1152.000000*x-6144.000000*x*y+6144.000000*x*y^2)-A[3, 1](t)*(384.0000000-768.0000000*y-768.0000006*x+1536.000000*x*y)-A[3, 0](t)*(-192.0000000+384.0000000*x)-A[2, 3](t)*(-128.0000000+1280.000000*y-3072.000000*y^2+2048.000000*y^3)-A[2, 2](t)*(96.00000000-512.0000002*y+512.0000002*y^2)-A[2, 1](t)*(-64.00000002+128.0000000*y)-A[3, 3](t)*(767.9999998-1536.000000*y-7679.999998*x+15360.00000*x*y+18432.00000*x^2-36864.00000*x^2*y-12288.00000*x^3+24576.00000*x^3*y)-A[2, 3](t)*(-575.9999998+1152.000000*y+3072.000000*x-6144.000000*x*y-3072.000000*x^2+6144.000000*x^2*y)-A[3, 2](t)*(-128.0000000+1280.000000*x-3072.000000*x^2+2048.000000*x^3)-A[1, 2](t)*(-64.00000002+128.0000000*x)-A[1, 3](t)*(384.0000000-768.0000000*y-767.9999998*x+1536.000000*x*y)-A[2, 2](t)*(96.00000004-512.0000002*x+512.0000002*x^2)+(diff(A[3, 3](t), t))*(16.00000000-160.0000000*y+383.9999999*y^2-256.0000000*y^3-160.0000000*x+1600.000000*x*y-3839.999999*x*y^2+2560.000000*x*y^3+384.0000000*x^2-3840.000000*x^2*y+9215.999998*x^2*y^2-6144.000001*x^2*y^3-256.0000000*x^3+2560.000000*x^3*y-6143.999998*x^3*y^2+4096.000000*x^3*y^3)+(diff(A[3, 2](t), t))*(-12.00000000+64.00000002*y-64.00000002*y^2+120.0000000*x-640.0000002*x*y+640.0000002*x*y^2-288.0000001*x^2+1536.000000*x^2*y-1536.000000*x^2*y^2+192.0000000*x^3-1024.000000*x^3*y+1024.000000*x^3*y^2)+(diff(A[3, 1](t), t))*(8.000000003-16.00000000*y-80.00000003*x+160.0000000*x*y+192.0000000*x^2-384.0000000*x^2*y-128.0000001*x^3+256.0000000*x^3*y)-A[0, 3](t)*(-191.9999999+384.0000000*y)+(diff(A[3, 0](t), t))*(-4.000000000+40.00000000*x-96.00000002*x^2+64.00000001*x^3)+(diff(A[2, 3](t), t))*(-12.00000000+120.0000000*y-287.9999999*y^2+192.0000000*y^3+64.00000000*x-640.0000000*x*y+1536.000000*x*y^2-1024.000000*x*y^3-64.00000000*x^2+640.0000000*x^2*y-1536.000000*x^2*y^2+1024.000000*x^2*y^3)+(diff(A[2, 2](t), t))*(8.999999999-48.00000002*y+48.00000002*y^2-48.00000000*x+256.0000001*x*y-256.0000001*x*y^2+48.00000000*x^2-256.0000001*x^2*y+256.0000001*x^2*y^2)+(diff(A[2, 1](t), t))*(-6.000000002+12.00000000*y+32.00000001*x-64.00000000*x*y-32.00000001*x^2+64.00000000*x^2*y)+(diff(A[2, 0](t), t))*(3.000000000-16.00000000*x+16.00000000*x^2)+(diff(A[1, 3](t), t))*(8.000000003-80.00000003*y+192.0000000*y^2-128.0000000*y^3-16.00000000*x+160.0000000*x*y-383.9999999*x*y^2+256.0000000*x*y^3)+(diff(A[1, 2](t), t))*(-6.000000000+32.00000001*y-32.00000001*y^2+12.00000000*x-64.00000002*x*y+64.00000002*x*y^2):

for i2 from 0 while i2 <= N-1 do odes11[0, i2] := simplify(eval(residual, [x = 0, y = i2*ymax/(N-1)])) = 0; odes11[N-1, i2] := simplify(eval(residual, [x = xmax, y = i2*ymax/(N-1)])) = 0 end do:

8

(2)

odes_Combine := {seq(seq(odes11[i, j], i = 0 .. N-1), j = 0 .. N-1)}:

sys111 := solve(odes_Combine, `~`[diff](var, t)):

ICS1 := {A[0, 0](0) = .444104979341173495851499233536, A[0, 1](0) = .198590961107083475045046921568, A[0, 2](0) = -0.167999146492673347540059075790e-1, A[0, 3](0) = -0.869171705198864625153083083786e-3, A[1, 0](0) = .198590961107083475045046921567, A[1, 1](0) = 0.888041604305848495880917177172e-1, A[1, 2](0) = -0.751243816645416714455046298805e-2, A[1, 3](0) = -0.388668563362181391196975707953e-3, A[2, 0](0) = -0.167999146492673347540059075793e-1, A[2, 1](0) = -0.751243816645416714455046298835e-2, A[2, 2](0) = 0.635518954643030408055028178047e-3, A[2, 3](0) = 0.328796368925226898150257328603e-4, A[3, 0](0) = -0.869171705198864625153083083734e-3, A[3, 1](0) = -0.388668563362181391196975707910e-3, A[3, 2](0) = 0.328796368925226898150257328592e-4, A[3, 3](0) = 0.170108305076655667148638268230e-5}:

f, diffs := eval(GenerateMatrix(`~`[`-`](`~`[rhs](sys222), `~`[lhs](sys222)), var1))

f, diffs := Matrix(16, 16, {(1, 1) = 0, (1, 2) = 0, (1, 3) = 32., (1, 4) = 0.494812294492356575865153049102e-27, (1, 5) = 0, (1, 6) = 0, (1, 7) = 0.120000000000000000001649374315e-7, (1, 8) = -0.107999999927999999998854228220e-6, (1, 9) = 32.0000000200000000000000000000, (1, 10) = -0.199999999999999999998350625685e-7, (1, 11) = 0.249999999859375000081951230025e-7, (1, 12) = -0.700000000203125000132933066388e-7, (1, 13) = 0.196000000000000000000494812294e-6, (1, 14) = 0.292000000072000000001204420404e-6, (1, 15) = -0.458000000726562499721923065316e-6, (1, 16) = 0.682900000453875000014432471170e-5, (2, 1) = 0, (2, 2) = 0, (2, 3) = 0, (2, 4) = -0.377561971763063776372092766396e-27, (2, 5) = 0, (2, 6) = 0, (2, 7) = 32.0000000000000000000000000000, (2, 8) = 0.719999999999999999998878327317e-7, (2, 9) = 0, (2, 10) = -0.125853990587687925457364255465e-27, (2, 11) = 0.906355783222184042180194163758e-27, (2, 12) = 0.135077431625990682476379737660e-25, (2, 13) = 96.0000000000000000000000000001, (2, 14) = 0.719999999999999999989394464730e-7, (2, 15) = -0.549999999914062500010607576813e-6, (2, 16) = 0.202000000048749999997617654955e-5, (3, 1) = 0, (3, 2) = 0, (3, 3) = 0, (3, 4) = 0.855583965847405137008732798371e-28, (3, 5) = 0, (3, 6) = 0, (3, 7) = -0.257808598553160159742093659020e-28, (3, 8) = -0.377264825438544618607975742790e-27, (3, 9) = 0, (3, 10) = 0.285194655282468379002910932790e-28, (3, 11) = 31.9999999925000000046874999970, (3, 12) = 0.326865301360930805043812804544e-26, (3, 13) = -0.773425795659480479226280977060e-28, (3, 14) = -0.313579545661510489918366218529e-27, (3, 15) = -0.149999999882812500075601322065e-6, (3, 16) = 0.324999999796875000093151106353e-6, (4, 1) = 0, (4, 2) = 0, (4, 3) = 0, (4, 4) = -0.384112032581666751703476763000e-29, (4, 5) = 0, (4, 6) = 0, (4, 7) = 0.265935771387910529598689301718e-29, (4, 8) = 0.399754551928273029196600976861e-28, (4, 9) = 0, (4, 10) = -0.128037344193888917234492254333e-29, (4, 11) = 0.173718566046259004921454811253e-28, (4, 12) = -0.553232882345597286403223410199e-27, (4, 13) = 0.797807314163731588796067905154e-29, (4, 14) = 0.427742792008362106477653509643e-28, (4, 15) = 31.9999999950000000007812499996, (4, 16) = 0.583137134641934297089284679036e-26, (5, 1) = 0, (5, 2) = 0, (5, 3) = 0, (5, 4) = 96.0000000000000000000000000001, (5, 5) = 0, (5, 6) = 0, (5, 7) = -0.125853990576278889372664086359e-27, (5, 8) = -0.780000000000000000003341913398e-7, (5, 9) = 0, (5, 10) = 32.0000000000000000000000000000, (5, 11) = 0.155215894719877680168982772333e-28, (5, 12) = 0.179999999957812500011610427218e-6, (5, 13) = -0.377561971728836668117992259076e-27, (5, 14) = 0.121999999999999999999928850210e-6, (5, 15) = 0.957742348838601502120463181878e-26, (5, 16) = 0.413250000106171874986265224797e-5, (6, 1) = 0, (6, 2) = 0, (6, 3) = 0, (6, 4) = -0.821348457439978150891092618719e-28, (6, 5) = 0, (6, 6) = 0, (6, 7) = -0.273782819058452669879599110853e-28, (6, 8) = 95.9999999999999999999999999997, (6, 9) = 0, (6, 10) = -0.273782819146659383630364206240e-28, (6, 11) = 0.294057068291966163490658104104e-27, (6, 12) = -0.253498333196688505804635565222e-27, (6, 13) = -0.821348457175358009638797332558e-28, (6, 14) = 95.9999999999999999999999999997, (6, 15) = 0.212121033252676198558579131631e-28, (6, 16) = 0.649999999999999999980740836208e-6, (7, 1) = 0, (7, 2) = 0, (7, 3) = 0, (7, 4) = 0.186123768597305842557431955743e-28, (7, 5) = 0, (7, 6) = 0, (7, 7) = 0.214460223691860703703477959545e-28, (7, 8) = 0.317673924810187018756335641686e-28, (7, 9) = 0, (7, 10) = 0.620412561991019475191439852476e-29, (7, 11) = 0.753895620987131323747484439705e-28, (7, 12) = 95.9999999700000000093749999970, (7, 13) = 0.643380671075582111110433878635e-28, (7, 14) = 0.348244413167432788858088750543e-30, (7, 15) = -0.195081345734130085456007896310e-26, (7, 16) = 0.162499999949218750020914346448e-6, (8, 1) = 0, (8, 2) = 0, (8, 3) = 0, (8, 4) = -0.835597462589282450911924283887e-30, (8, 5) = 0, (8, 6) = 0, (8, 7) = -0.168983990754200234313642237958e-29, (8, 8) = 0.255518912827614707211229660888e-30, (8, 9) = 0, (8, 10) = -0.278532487529760816970641427962e-30, (8, 11) = -0.912041057783558505972445866734e-29, (8, 12) = 0.152862192823148604497047654434e-28, (8, 13) = -0.506951972262600702940926713875e-29, (8, 14) = 0.212025424265299406832408057357e-29, (8, 15) = 0.158222957859551043617221056103e-27, (8, 16) = 96.0000000000000000000000000002, (9, 1) = 0, (9, 2) = 0, (9, 3) = 0, (9, 4) = -0.773425795970180636575593526265e-28, (9, 5) = 0, (9, 6) = 0, (9, 7) = 0.285194655390087477280223771532e-28, (9, 8) = -0.241100887243597349107036806234e-27, (9, 9) = 0, (9, 10) = -0.257808598656726878858531175422e-28, (9, 11) = 32.0000000125000000000000000004, (9, 12) = 0.999999999843750000174507862823e-8, (9, 13) = 0.855583966170262431840671314596e-28, (9, 14) = -0.104420360226003256663758222866e-27, (9, 15) = 0.600000000000000000027497059897e-7, (9, 16) = 0.900000000046874999977170328969e-6, (10, 1) = 0, (10, 2) = 0, (10, 3) = 0, (10, 4) = 0.643380671224932994877201196193e-28, (10, 5) = 0, (10, 6) = 0, (10, 7) = 0.620412562284547562356437593923e-29, (10, 8) = -0.782971264706294608812923943602e-28, (10, 9) = 0, (10, 10) = 0.214460223741644331625733732064e-28, (10, 11) = -0.117716452160171050903010422567e-27, (10, 12) = -0.324249553007268016939337229307e-26, (10, 13) = 0.186123768685364268706931278177e-28, (10, 14) = 0.210791990319339808396292213890e-27, (10, 15) = 95.9999999999999999999999999990, (10, 16) = 0.601289924118833452883693495332e-26, (11, 1) = 0, (11, 2) = 0, (11, 3) = 0, (11, 4) = -0.145794923079456919867181504653e-28, (11, 5) = 0, (11, 6) = 0, (11, 7) = -0.485983076931523066223938348837e-29, (11, 8) = 0.703045314344404024740114826873e-28, (11, 9) = 0, (11, 10) = -0.485983076931523066223938348844e-29, (11, 11) = 0.154061910958820937154327251969e-28, (11, 12) = 0.586431085917646726477197552134e-27, (11, 13) = -0.145794923079456919867181504651e-28, (11, 14) = 0.327116591013740734656854347967e-28, (11, 15) = 0.186427448215109472676159333906e-27, (11, 16) = 0.727156843809743343593213639608e-26, (12, 1) = 0, (12, 2) = 0, (12, 3) = 0, (12, 4) = 0.654542236344866764687318521378e-30, (12, 5) = 0, (12, 6) = 0, (12, 7) = 0.382930495785563772474113758933e-30, (12, 8) = -0.765771840140216030924576968705e-29, (12, 9) = 0, (12, 10) = 0.218180745448288921562439507126e-30, (12, 11) = -0.591357855581324858104400230586e-30, (12, 12) = 0.164090126078907967224367765176e-28, (12, 13) = 0.114879148735669131742234127680e-29, (12, 14) = -0.733606589050003370341598338138e-29, (12, 15) = 0.279365514914751130455040418258e-28, (12, 16) = -0.138821502091830040436688448298e-26, (13, 1) = 0, (13, 2) = 0, (13, 3) = 0, (13, 4) = 0.797807313447167969819086050522e-29, (13, 5) = 0, (13, 6) = 0, (13, 7) = -0.128037344212226672551029214969e-29, (13, 8) = 0.262885403001488132812902903311e-28, (13, 9) = 0, (13, 10) = 0.265935771149055989939695350174e-29, (13, 11) = -0.349411324204567081081722661297e-28, (13, 12) = 31.9999999950000000007812499995, (13, 13) = -0.384112032636680017653087644907e-29, (13, 14) = 0.119403167752948354510697994999e-28, (13, 15) = -0.452504513537780686847551220204e-27, (13, 16) = 0.149999999976562500006592455374e-6, (14, 1) = 0, (14, 2) = 0, (14, 3) = 0, (14, 4) = -0.506951972202161632959380608780e-29, (14, 5) = 0, (14, 6) = 0, (14, 7) = -0.278532487328297250365487744273e-30, (14, 8) = 0.100313589069551339782957918087e-28, (14, 9) = 0, (14, 10) = -0.168983990734053877653126869593e-29, (14, 11) = 0.876003797684675659527198447426e-29, (14, 12) = 0.309396538522635365039103628797e-27, (14, 13) = -0.835597461984891751096463232820e-30, (14, 14) = -0.169500948608311509445295032991e-28, (14, 15) = 0.104005614175784513152332127959e-27, (14, 16) = 95.9999999999999999999999999996, (15, 1) = 0, (15, 2) = 0, (15, 3) = 0, (15, 4) = 0.114879148750778899237620653952e-29, (15, 5) = 0, (15, 6) = 0, (15, 7) = 0.218180745498654813213727928025e-30, (15, 8) = -0.867251219227502985269662069579e-29, (15, 9) = 0, (15, 10) = 0.382930495835929664125402179841e-30, (15, 11) = -0.267864188359583543656192185112e-29, (15, 12) = -0.387791753042961333529856694716e-28, (15, 13) = 0.654542236495964439641183784074e-30, (15, 14) = -0.523627245808308931882255033583e-29, (15, 15) = 0.369199231034048272468531636165e-28, (15, 16) = -0.123439611085554953594747603640e-26, (16, 1) = 0, (16, 2) = 0, (16, 3) = 0, (16, 4) = -0.515746730509193430144544493936e-31, (16, 5) = 0, (16, 6) = 0, (16, 7) = -0.171915576836397810048181497977e-31, (16, 8) = 0.857347676859656256220355661580e-30, (16, 9) = 0, (16, 10) = -0.171915576836397810048181497979e-31, (16, 11) = 0.182597096197097886514765184582e-30, (16, 12) = -0.370616214664321329971866697584e-29, (16, 13) = -0.515746730509193430144544493932e-31, (16, 14) = 0.865925397235117524875431212196e-30, (16, 15) = -0.750058451906403875595888288641e-29, (16, 16) = 0.183460376006651920829411996611e-27}), Vector(16, {(1) = diff(A[0, 0](t), t), (2) = diff(A[0, 1](t), t), (3) = diff(A[0, 2](t), t), (4) = diff(A[0, 3](t), t), (5) = diff(A[1, 0](t), t), (6) = diff(A[1, 1](t), t), (7) = diff(A[1, 2](t), t), (8) = diff(A[1, 3](t), t), (9) = diff(A[2, 0](t), t), (10) = diff(A[2, 1](t), t), (11) = diff(A[2, 2](t), t), (12) = diff(A[2, 3](t), t), (13) = diff(A[3, 0](t), t), (14) = diff(A[3, 1](t), t), (15) = diff(A[3, 2](t), t), (16) = diff(A[3, 3](t), t)})

(3)

``

npts := Ntt:

``

``

``

``


 

Download Question1.mw

 

I'm running Maple Flow 2022 on a Win10 Pro PC...

When looking at a Maple Flow worksheet I press Ctl-F to search for something on the worksheet ...

The search seems to work but the "found text" turns white ... so it is hard to see ... any fix for this?

Also, Is Dark Mode available for Maple Flow?

Thanks for any help.

Let say, 

A= A1+A2+.....................+An

B=B1+B2+.....................+Bn,

C=C1+C2+.....................+Cn

And all the values of A1 to Cn may be both positive or Negative.

Then, how to program to find the Maximum Value of  (A^2+B^2+C^2+A.B+B.C+C.A)^(1/2).

Question 1: The Common Symbols palette referenced in the the section titled ... "Solution 2 - Use the Palettes" in Online Help HERE ...

Where is the Common Symbols palette in Maple Flow 2022 ... or is it missing?

Question 2: How can I add it if it  is missing as it looks very handy.

Question 3: Can you create custom Palettes and if so how?

Question 4: OT: Any chance of getting a spell checke for Forum Post ? :-)

Thanks for any help.

I have a student who then she uses tools/assistent/import data and then the file then Maple claims the Excel file is empty? She uses Maple 2021.2. File works on other my and other student computers. 

To Maple support:

I was investigating this pde from a different forum.

I noticed that when using an expanded version of the pde, Maple hangs. Without expanding the PDE, Maple gives an answer in 2 seconds. 

Why does expanding the PDE makes a difference? I do not have an earlier version of Maple on my new PC to check if this is a new issue or not.
 

interface(version);

`Standard Worksheet Interface, Maple 2022.0, Windows 10, March 8 2022 Build ID 1599809`

Physics:-Version()

`The "Physics Updates" version in the MapleCloud is 1230 and is the same as the version installed in this computer, created 2022, April 21, 9:8 hours Pacific Time.`

restart;
pde1:=VectorCalculus:-Laplacian(u(r,theta),'polar'[r,theta]);
pde1_expanded:=expand(pde1);
bc  := u(1,theta)=sin(theta)^4,u(3,theta)=1;
pdsolve([pde1=0,bc],u(r,theta))
 

(diff(u(r, theta), r)+r*(diff(diff(u(r, theta), r), r))+(diff(diff(u(r, theta), theta), theta))/r)/r

(diff(u(r, theta), r))/r+diff(diff(u(r, theta), r), r)+(diff(diff(u(r, theta), theta), theta))/r^2

u(1, theta) = sin(theta)^4, u(3, theta) = 1

u(r, theta) = (1/52480)*((328*r^6-26568*r^2)*ln(3)*cos(2*theta)+(-r^8+6561)*ln(3)*cos(4*theta)+19680*(ln(3)+(5/3)*ln(r))*r^4)/(ln(3)*r^4)

pdsolve([pde1_expanded=0,bc],u(r,theta)); #HANGS, Waited more than 40 minutes.

 


 

Download hangs_pde.mw

Backspacing at the end of a few math containers on one row will shift them upwards beyond the top screen out of view and out of existence.  Your last chance of retrieval is when you can still see the bottom half portions of the letters/equations before you need to go to the first point and press enter to bring them down.  Once they're out of view, there's no chance to bring back what you wrote - the assignments are still valid.  Also note CRTL-Z will not bring them back. 

Using the hide command after displaying a plot in MapleFlow2022 prevents that plot from being moved.

If you create another plot, then both plots are movable until you use the hide command again, at which point you need to create another plot to allow plots to be positioned.

Let 
                              "a"

 and 
                              "b"

 be real numbers and 

       
"A = Matrix(3, 3, [[a, a - 1, -b], [a - 1, a, -b], [b, b, 2*a - 

   1]])"


,  
                              "B="


 "Matrix(5, 5, [[0, a, 3, 0, a], [3, 0, 0, b, 0], [0, 1, b, 0, 

    1], [b, 0, 0, 1, 0], [0, a, 1, 0, b]])"


(a) Show that if 
                            "0 <= a"


                            "a <= 1"

 and 
                      "b^2 = 2*a*(1 - a)"

, then A is an orthogonal matrix with determinant equal to one. 
(b) For what values of a and b is the matrix B singular? Determine the inverse of B (for those values of a and b for which B is invertible).
 

Find all rational function solutions to the Kadomtsev-Petviashvili equation 
                         
(&PartialD;)/(&PartialD;x);

diff(u, t) + 6*u*diff(u, x) + diff(u, x, x, x) - diff(u, y, y) = 0;

by u = 2 
diff(ln, x, x)*f;

=(2 (((&PartialD;)^2)/(&PartialD;x^2) f) f-2 ((&PartialD;)/(&PartialD;x) f)^2)/(f^2);
 with 
f;
  =
(a[1 ]x+a[2] y+a[3] t+a[4])^2+(a[5] x+ a[6] y+a[7] t+a[8])^2+a[9], ;
where 
a[i], i=1..9, ;
are real constants.
 

I am having a problem in evaluating a fluid flow problem at a boundary that includes infinity using a semi-analytic method Adomian Decomposition Method.

Find the attached code. Thanks in advance.

Just wondering how I do a loop over the contents of the table. I need both the index variable and the stored value associated with it.

This one apparently doesn't work.

F_vRk := table()

table( [ ] )

(1)

F_vRk["a"] := 1

1

(2)

F_vRk["b"] := 2

2

(3)

"for ind, val in F_vRk  do print(ind,val)  end do"

1, F_vRk

(4)

NULL

Download table_and_loop_1.mw

Hii!!

I need your help in state space system.... kindly guide me how to solve State Space system in maplesoft.....i excecute the command but i didn't find the answer....can you plz help me?I have been trying for two weeks now but it is not working.Thank you!!

Hello, we need to do an integral based on two numerically approximated functions given by a second degree coupled differential equation.

The integral:
Where xs and xu are functions of the variable t.

We wish to do a half-sums to approximate the integral, that is:

Define an N = number of points, such that we get a delta_x = L/N.

We then wish to get two vectors x_s = [x_s(0),x_s(1),...,x_s(N)] and x_u = [x_u(0),x_u(1),...,x_u(N)] by running some kind of for loop over our approximation procedure.

Is there any function for this already inside of Maple? We need to approximate the integral using Riemann sums and no other method.

When trying to print a Maple Document as a PDF on Mac, I am now getting an "Error while printing" message. A 1-page pdf is created that's empty.   This is a new error, one that I've never seen when printing as PDF for any other Maple Document I've created.

I'm running Mac OS 12.3.1, the latest version of Mac OS and using Maple 2020.

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