restart:
digits := 20;
unprotect(D);
G := 0.04361098108*x^2 + 0.4810001561*x*y + 1.326278064*y^2 - 0.7320831383*x - 2.656083763*y + 1 = 0
f := (x, y) -> lhs(G);
coeffs(f(x, y));
A, B, C, D, E, F := coeffs(f(x, y));
A := coeff(f(x, y), x, 2);
B := coeff(coeff(f(x, y), x), y);
C := coeff(f(x, y), y, 2);
D := coeff(coeff(f(x, y), x, 1), y, 0);
E := coeff(coeff(f(x, y), y, 1), x, 0);
F := tcoeff(f(x, y));
expand(B^2 - ((4*A) . C));
                          digits := 20

   f := proc (x, y) options operator, arrow; lhs(G) end proc

  1, -0.7320831383, 1.326278064, 0.04361098108, 0.4810001561, 

    -2.656083763

A, B, C, D, E, F := 1, -0.7320831383, 1.326278064, 0.04361098108, 

  0.4810001561, -2.656083763

                       A := 0.04361098108

                       B := 0.4810001561

                        C := 1.326278064

                       D := -0.7320831383

                       E := -2.656083763

                             F := 1

                               0.

with(geometry):
_EnvHorizontalName := 'x': _EnvVerticalName := 'y':
conic(co,f(x,y),[x,y]):
detail(co);
                 /                            
   GeometryDetail\["name of the object", co], 
   ["form of the object", ellipse2d], 
   ["center", [1.212351672 ^(10, 10), -2.198412833 ^(10, 9)]], 
   ["foci", [[2.424703344 ^(10, 10), -4.396825668 ^(10, 9)], 
   [0.1787052775, 0.9855002601]]], 
   ["length of the major axis", 2.464245740 ^(10, 10)], 
   ["length of the minor axis", 66579.62094], 
   [                                               2
   ["equation of the ellipse", 1. + 0.04361098108 x 
                                      2                 
    + 0.4810001561 x y + 1.326278064 y  - 0.7320831383 x
                       ]\ 
    - 2.656083763 y = 0]/;
   "_noterminate";

G is a parabola with B^2-4*A*C=0 or an ellipse ? A =1 or F=1 ? Thank you for youy answer. 

I need the Infinitesimals(Lie group analysis) of the system of PDE. I have attached below the system of PDE in MAPLE given below.MAPLE_Help.mw

Thank you

I have code which in module which does this

           DEtools:-kovacicsols(ode,func)

Where ode is some ode and func is y(x).  When I step in the debugger, I get exception at this. It says

       DBG> DEtools:-kovacicsols(ode,func)
       Error, `DEtools` does not evaluate to a module

Same exact code works OK from worksheet as expected.   SO for some reason, inside this module it does not see DEtools and I have no idea why.

Then I tried with :-  before DEtools, but this did not help. it gives

DBG> :-DEtools:-kovacicsols(ode,func)
Error, `table([(dperiodic_sols)=proc () `DEtools/init`() <> 0; `ODEtools/intfactor`(_passed); end etc...
` does not evaluate to a module

In a worksheet, it all works OK

ode:=diff(diff(y(x),x),x) = (-3/16/x^2-2/9/(x-1)^2+3/16/x/(x-1))*y(x);
func:=y(x);
DEtools:-kovacicsols(ode,func)

Gives the solution with no error.

Any suggestion what could be the cause and what to try next? I never seen anything like this. I am running this code using 

interface(warnlevel=4);
kernelopts('assertlevel'=2):

I am able to make a MWE. It seems this always happens in the debugger.  But if  I let it run, it works somehow. Only when I try to step into it, it gives error. Here is MWE

interface(warnlevel=4);
kernelopts('assertlevel'=2):
foo:=proc(ode,func)
   local result;
    DEBUG();   
    result:=DEtools:-kovacicsols(ode,func);
    return result;
  end proc;

And now

ode:=diff(diff(y(x),x),x) = (-3/16/x^2-2/9/(x-1)^2+3/16/x/(x-1))*y(x);
func:=y(x);
foo(ode,y(x))

Now in the debugger if I do DEtools:-kovacicsols(ode,func) or if I stepin the call, I get the error. But I hit the continue botton, I do not get the error and it gives solution. 

Why this happens?

Maple 2021.2 on windows 10

@acer,
In the past, you had shown how to use take a given sparse A matrix and store the LU components and use the same factorization for multiple backsolves at https://www.mapleprimes.com/posts/41191-Solving-Sparse-Linear-Systems-In-Maple#comment200817

When PDEs are solved, we are calling the A matrix at every time step (with some discretizations in x) and the factorization is done and stored at every time step (this is time-consuming and memory-consuming). Is it possible to call UMFPACK using only the sparse storage and entries? The main routine seems to provide the option 

https://people.sc.fsu.edu/~jburkardt/f77_src/umfpack/umfpack.html

This would mean that the pattern is found only once for the Jacobian at t= 0, then only the non-zero sparse entries (vector/row, not a matrix) are updated at every time step.

To be clear, what I am asking for is create a random sparse matrix (say 4x4 or 10x10)
create a b Vector.

Solve AZ =b with method = SparseDirect. (This should internally create and store R, CC, X as at https://people.sc.fsu.edu/~jburkardt/f77_src/umfpack/umfpack.html)

Store R, CC, X and update only X for a different A matrix with the same sparsity pattern and solve for Z using stored (R, CC), and updated X.

j'ai deux spheres concentriques s1 et s2  de centre O(-1,-1,-1) de rayon respectivement 3 et 2. mais maple donne que FindAngle(s1,s2)=arcos(31/12). comment expliquez ceçi et merci beaucoup.

PDETWOSTEPVARIAMETHOD.mwPDETWOSTEPVARIAMETHOD.mw

Pls i need help to correct this iteration code, I wrote but is not given the correct answer. find attached the worksheet

Hi again everybody,
I hope this can help in some classrooms.

This procedure has some warnings.  Someone else can clean it up.
Also, the ithprime() command can make it a bit slicker.
I did work with prime constelations project, and you can see my web page at mattanderson.fun  .

Refference oeis.org/A40 .
Some prime constelations, and k-tuples, are not of 'general intrest' yet, so they are not in the OEIS encyclopedia YET!

But prime numbers are exciting.  I like doing calculations.

Hopefully someone in the next generation will take up an intrest and do what I did.

pairs_procedure.mw

pairs_procedure.pdf

I wish the best on all of you.

Regards,

Matt C. Anderson

which kind of input is DeepLearning:-Optimizer(GradientDescent()) suppose to take? Nummeric value or function?

Hi!

I am fairly new to maple and needing to use it for my project this year. I have been advised to use it to help solve the following integral:

int(2/(1-x^p)^(1/p), x=0..1)

It will give me the answer I am looking for, however I cannot get it to explain the steps to get the answer. I have tried Student Calculus1 and ShowSolution but neither of them seem to be working.

Any help would be really appreiacted!

Hello Sir
Hope you are fine. I am facing issues in integration evaluations. I have attched code and pic as well. Kindly guide me. I am waiting for your kind response.
Thanks

question.mw

Download question.mw

i use dslove command to solve system of differential equations but got an error, i checked the error but i don't know where i went wrong, please help me!

error: Error, (in dsolve/numeric/process_input) system must be entered as a set/list of expressions/equations

HOI.mw

In Maple what is the fastest way to convert a directed line segment into a vector? Please help me. Thank you a lot.

I have an assignment for my class but I don't know how to get the answer without getting an error. Maple_2.mw
 

Download Maple_2.mw

Hi,

I have a problem with maple. I used to work with maple until 2019. Now I installed Maple 2021 and I wanted to plot something, but it didn't worked anymore. I have problems to plot anything. When I try to plot something, maple only writes a very long list instead of a graphic. Here you can see, what I wrote in the worksheet:

restart;
with(LinearAlgebra):
with(plots):

plot(x^2,x=0..2);
INTERFACE_PLOT(CURVES(Matrix(200,2,{(2, 1) = HFloat(.105152100502512568e-1), (2
, 2) = HFloat(.110569642400905045e-3), (3, 1) = HFloat(.196644380904522631e-1),
(3, 2) = HFloat(.386690125413229849e-3), (4, 1) = HFloat(.299537019095477385e-1
), (4, 2) = HFloat(.897224258086043816e-3), (5, 1) = HFloat(.403111696482412116\
e-1), (5, 2) = HFloat(.162499039840928341e-2), (6, 1) = HFloat(.\
506194101507537672e-1), (6, 2) = HFloat(.256232468401023337e-2), (7, 1) =
HFloat(.601764686432160745e-1), (7, 2) = HFloat(.362120737836796758e-2), (8, 1)
= HFloat(.700722491457286406e-1), (8, 2) = HFloat(.491012010034106838e-2), (9,
1) = HFloat(.803064794974874402e-1), (9, 2) = HFloat(.644913064928037075e-2), (
10, 1) = HFloat(.905078885427135632e-1), (10, 2) = HFloat(.819167788846026160e-\
2), (11, 1) = HFloat(.101001291658291470), (11, 2) = HFloat(.102012609166432580\
e-1), (12, 1) = HFloat(.110243886834170857), (12, 2) = HFloat(.\
121537145843054698e-1), (13, 1) = HFloat(.120648859899497501), (13, 2) = HFloat
(.145561473950485756e-1), (14, 1) = HFloat(.131096556783919599), (14, 2) =
HFloat(.171863072005994551e-1), (15, 1) = HFloat(.141164848643216101), (15, 2)
= HFloat(.199275144924621096e-1), (16, 1) = HFloat(.150307822211055264), (16, 2
) = HFloat(.225924414178301988e-1), (17, 1) = HFloat(.161179702110552769), (17,
2) = HFloat(.259788963724465298e-1), (18, 1) = HFloat(.170389610452261309), (18
, 2) = HFloat(.290326193500733548e-1), (19, 1) = HFloat(.181102923316582926), (
19, 2) = HFloat(.327982688338121151e-1), (20, 1) = HFloat(.190586020502512554),
(20, 2) = HFloat(.363230312109841386e-1), (21, 1) = HFloat(.200990481105527641)
, (21, 2) = HFloat(.403971734950314618e-1), (22, 1) = HFloat(.21089798804020101\
8), (22, 2) = HFloat(.444779613594047732e-1), (23, 1) = HFloat(.221235432160804\
046), (23, 2) = HFloat(.489451164433777272e-1), (24, 1) = HFloat(.2307284328643\
21625), (24, 2) = HFloat(.532356097320257696e-1), (25, 1) = HFloat(.24096791658\
2914582), (25, 2) = HFloat(.580655368223104776e-1), (26, 1) = HFloat(.251603862\
412060286), (26, 2) = HFloat(.633045035806669570e-1), (27, 1) = HFloat(.2608624\
84522613070), (27, 2) = HFloat(.680492358313105478e-1), (28, 1) = HFloat(.27086\
2050050251268), (28, 2) = HFloat(.733662501574248171e-1), (29, 1) = HFloat(.281\
192579698492429), (29, 2) = HFloat(.790692668774930219e-1), (30, 1) = HFloat(.2\
91298987537688459), (30, 2) = HFloat(.848551001404823785e-1), (31, 1) = HFloat(
.301077456783919617), (31, 2) = HFloat(.906476349834729883e-1), (32, 1) =
HFloat(.311934779698492481), (32, 2) = HFloat(.973033067855470363e-1), (33, 1)
= HFloat(.321690567236180891), (33, 2) = HFloat(.103484821048735812), (34, 1) =
HFloat(.332106952763819130), (34, 2) = HFloat(.110295028074069587), (35, 1) =
HFloat(.341545746231155745), (35, 2) = HFloat(.116653496768597043), (36, 1) =
HFloat(.351864840603015094), (36, 2) = HFloat(.123808866052585217), (37, 1) =
HFloat(.361574304221105480), (37, 2) = HFloat(.130735977472976550), (38, 1) =
HFloat(.371723491356783953), (38, 2) = HFloat(.138178354026477046), (39, 1) =
HFloat(.381646176884422095), (39, 2) = HFloat(.145653804330495601), (40, 1) =
HFloat(.392034309045226126), (40, 2) = HFloat(.153690899468567871), (41, 1) =
HFloat(.402039314974874384), (41, 2) = HFloat(.161635610785466260), (42, 1) =
HFloat(.412270878592964851), (42, 2) = HFloat(.169967277335815153), (43, 1) =
HFloat(.422417719698492511), (43, 2) = HFloat(.178436729915274178), (44, 1) =
HFloat(.431741612864321611), (44, 2) = HFloat(.186400820278685764), (45, 1) =
HFloat(.442427846633165867), (45, 2) = HFloat(.195742399476460133), (46, 1) =
HFloat(.451985741507537675), (46, 2) = HFloat(.204291110526118674), (47, 1) =
HFloat(.462176450954773888), (47, 2) = HFloat(.213607071817150523), (48, 1) =
HFloat(.471930260201005036), (48, 2) = HFloat(.222718170493388323), (49, 1) =
HFloat(.482760611859296529), (49, 2) = HFloat(.233057808362762353), (50, 1) =
HFloat(.492138900603015073), (50, 2) = HFloat(.242200697486744360), (51, 1) =
HFloat(.502783342211055251), (51, 2) = HFloat(.252791089204919106), (52, 1) =
HFloat(.512484595175879409), (52, 2) = HFloat(.262640460292584976), (53, 1) =
HFloat(.523096241306532650), (53, 2) = HFloat(.273629677669022242), (54, 1) =
HFloat(.532252297286432086), (54, 2) = HFloat(.283292507966684481), (55, 1) =
HFloat(.542679976281407073), (55, 2) = HFloat(.294501556656788566), (56, 1) =
HFloat(.552752599396984956), (56, 2) = HFloat(.305535436140123740), (57, 1) =
HFloat(.562818642311557871), (57, 2) = HFloat(.316764824133425327), (58, 1) =
HFloat(.572847654070351764), (58, 2) = HFloat(.328154434773905379), (59, 1) =
HFloat(.582482394673366821), (59, 2) = HFloat(.339285740104419864), (60, 1) =
HFloat(.592897804422110597), (60, 2) = HFloat(.351527806488559302), (61, 1) =
HFloat(.602824445125628161), (61, 2) = HFloat(.363397311641021459), (62, 1) =
HFloat(.613271767035175941), (62, 2) = HFloat(.376102260242447139), (63, 1) =
HFloat(.622729109145728654), (63, 2) = HFloat(.387791543377432824), (64, 1) =
HFloat(.633181242613065298), (64, 2) = HFloat(.400918485997025453), (65, 1) =
HFloat(.643192565125628168), (65, 2) = HFloat(.413696675832885441), (66, 1) =
HFloat(.653179519798995023), (66, 2) = HFloat(.426643485084845731), (67, 1) =
HFloat(.663610932663316611), (67, 2) = HFloat(.440379469950276936), (68, 1) =
HFloat(.673218644723618143), (68, 2) = HFloat(.453223343603505191), (69, 1) =
HFloat(.683058256080402049), (69, 2) = HFloat(.466568581199600096), (70, 1) =
HFloat(.693922356180904587), (70, 2) = HFloat(.481528236407658183), (71, 1) =
HFloat(.703758908944723593), (71, 2) = HFloat(.495276601919067749), (72, 1) =
HFloat(.713818626633165865), (72, 2) = HFloat(.509537031728459100), (73, 1) =
HFloat(.724049100402010093), (73, 2) = HFloat(.524247099792960136), (74, 1) =
HFloat(.733452896582914682), (74, 2) = HFloat(.537953151505867755), (75, 1) =
HFloat(.743477038793969869), (75, 2) = HFloat(.552758107213850214), (76, 1) =
HFloat(.753424876582914571), (76, 2) = HFloat(.567649044653980028), (77, 1) =
HFloat(.764065970854271415), (77, 2) = HFloat(.583796807817480334), (78, 1) =
HFloat(.773456275577889429), (78, 2) = HFloat(.598234610230820030), (79, 1) =
HFloat(.784290737889447254), (79, 2) = HFloat(.615111961539173691), (80, 1) =
HFloat(.794068004824120544), (80, 2) = HFloat(.630543996285359509), (81, 1) =
HFloat(.803742099396984933), (81, 2) = HFloat(.646001362343072816), (82, 1) =
HFloat(.814144858894472301), (82, 2) = HFloat(.662831851264300220), (83, 1) =
HFloat(.824589699698492495), (83, 2) = HFloat(.679948172848850008), (84, 1) =
HFloat(.834092958291457243), (84, 2) = HFloat(.695711063071394631), (85, 1) =
HFloat(.844184996783919672), (85, 2) = HFloat(.712648308795066465), (86, 1) =
HFloat(.854033840000000044), (86, 2) = HFloat(.729373799865145722), (87, 1) =
HFloat(.864710089949748739), (87, 2) = HFloat(.747723539660902548), (88, 1) =
HFloat(.873948014472361812), (88, 2) = HFloat(.763785132000183498), (89, 1) =
HFloat(.884558106633165808), (89, 2) = HFloat(.782443044010451172), (90, 1) =
HFloat(.894532151055276392), (90, 2) = HFloat(.800187769271579863), (91, 1) =
HFloat(.904409857085427094), (91, 2) = HFloat(.817957189593282674), (92, 1) =
HFloat(.914295420904522649), (92, 2) = HFloat(.835936116686978203), (93, 1) =
HFloat(.924378070251256290), (93, 2) = HFloat(.854474816761436551), (94, 1) =
HFloat(.935065509648241200), (94, 2) = HFloat(.874347507333725016), (95, 1) =
HFloat(.944864845025125577), (95, 2) = HFloat(.892769575364354528), (96, 1) =
HFloat(.954538047336683348), (96, 2) = HFloat(.911142883813328308), (97, 1) =
HFloat(.964878541407035106), (97, 2) = HFloat(.930990599667767538), (98, 1) =
HFloat(.975196525125628155), (98, 2) = HFloat(.951008262617099920), (99, 1) =
HFloat(.984457528241206137), (99, 2) = HFloat(.969156624910785136), (100, 1) =
HFloat(.995427854271356827), (100, 2) = HFloat(.990876613059277656), (101, 1) =
HFloat(1.00460731437185924), (101, 2) = HFloat(1.00923585608943966), (102, 1) =
HFloat(1.01534372402010042), (102, 2) = HFloat(1.03092287790700587), (103, 1) =
HFloat(1.02559058693467331), (103, 2) = HFloat(1.05183605200900776), (104, 1) =
HFloat(1.03473981497487433), (104, 2) = HFloat(1.07068648469423722), (105, 1) =
HFloat(1.04502907879397000), (105, 2) = HFloat(1.09208577552497355), (106, 1) =
HFloat(1.05538654653266328), (106, 2) = HFloat(1.11384076260214138), (107, 1) =
HFloat(1.06569478703517584), (107, 2) = HFloat(1.13570537911394887), (108, 1) =
HFloat(1.07525184552763808), (108, 2) = HFloat(1.15616653131059177), (109, 1) =
HFloat(1.08514762603015091), (109, 2) = HFloat(1.17754537027887229), (110, 1) =
HFloat(1.09538185638190955), (110, 2) = HFloat(1.19986141129067825), (111, 1) =
HFloat(1.10558326542713559), (111, 2) = HFloat(1.22231435679252809), (112, 1) =
HFloat(1.11607666854271348), (112, 2) = HFloat(1.24562713006540182), (113, 1) =
HFloat(1.12531926371859292), (113, 2) = HFloat(1.26634344529615617), (114, 1) =
HFloat(1.13572423678391954), (114, 2) = HFloat(1.28986954201841653), (115, 1) =
HFloat(1.14617193366834180), (115, 2) = HFloat(1.31371010152902579), (116, 1) =
HFloat(1.15624022552763828), (116, 2) = HFloat(1.33689145912820373), (117, 1) =
HFloat(1.16538319909547727), (117, 2) = HFloat(1.35811800073400879), (118, 1) =
HFloat(1.17625507899497483), (118, 2) = HFloat(1.38357601086147453), (119, 1) =
HFloat(1.18546498733668337), (119, 2) = HFloat(1.40532723620116284), (120, 1) =
HFloat(1.19617830020100513), (120, 2) = HFloat(1.43084252587176586), (121, 1) =
HFloat(1.20566139738693479), (121, 2) = HFloat(1.45361940514901633), (122, 1) =
HFloat(1.21606585798994971), (122, 2) = HFloat(1.47881617096883256), (123, 1) =
HFloat(1.22597336492462317), (123, 2) = HFloat(1.50301069150460331), (124, 1) =
HFloat(1.23631080904522617), (124, 2) = HFloat(1.52846441656206178), (125, 1) =
HFloat(1.24580380974874383), (125, 2) = HFloat(1.55202713238448431), (126, 1) =
HFloat(1.25604329346733667), (126, 2) = HFloat(1.57764475506427404), (127, 1) =
HFloat(1.26667923929648252), (127, 2) = HFloat(1.60447629526471558), (128, 1) =
HFloat(1.27593786140703536), (128, 2) = HFloat(1.62801742617195888), (129, 1) =
HFloat(1.28593742693467328), (129, 2) = HFloat(1.65363506599136811), (130, 1) =
HFloat(1.29626795658291449), (130, 2) = HFloat(1.68031061526364467), (131, 1) =
HFloat(1.30637436442211063), (131, 2) = HFloat(1.70661398001927345), (132, 1) =
HFloat(1.31615283366834168), (132, 2) = HFloat(1.73225828157320549), (133, 1) =
HFloat(1.32701015658291466), (133, 2) = HFloat(1.76095595567421159), (134, 1) =
HFloat(1.33676594412060301), (134, 2) = HFloat(1.78694318936064711), (135, 1) =
HFloat(1.34718232964824125), (135, 2) = HFloat(1.81490022931646267), (136, 1) =
HFloat(1.35662112311557781), (136, 2) = HFloat(1.84042087168337165), (137, 1) =
HFloat(1.36694021748743699), (137, 2) = HFloat(1.86852555818460164), (138, 1) =
HFloat(1.37664968110552777), (138, 2) = HFloat(1.89516434448795135), (139, 1) =
HFloat(1.38679886824120602), (139, 2) = HFloat(1.92321110095508985), (140, 1) =
HFloat(1.39672155376884422), (140, 2) = HFloat(1.95083109876245442), (141, 1) =
HFloat(1.40710968592964836), (141, 2) = HFloat(1.97995766823703367), (142, 1) =
HFloat(1.41711469185929650), (142, 2) = HFloat(2.00821404988346908), (143, 1) =
HFloat(1.42734625547738680), (143, 2) = HFloat(2.03731733302531737), (144, 1) =
HFloat(1.43749309658291469), (144, 2) = HFloat(2.06638640272353680), (145, 1) =
HFloat(1.44681698974874351), (145, 2) = HFloat(2.09327940182561578), (146, 1) =
HFloat(1.45750322351758776), (146, 2) = HFloat(2.12431564656415928), (147, 1) =
HFloat(1.46706111839195996), (147, 2) = HFloat(2.15226832509746835), (148, 1) =
HFloat(1.47725182783919595), (148, 2) = HFloat(2.18227296285424543), (149, 1) =
HFloat(1.48700563708542721), (149, 2) = HFloat(2.21118576472383710), (150, 1) =
HFloat(1.49783598874371848), (150, 2) = HFloat(2.24351264917587256), (151, 1) =
HFloat(1.50721427748743708), (151, 2) = HFloat(2.27169487826197702), (152, 1) =
HFloat(1.51785871909547732), (152, 2) = HFloat(2.30389509113416313), (153, 1) =
HFloat(1.52755997206030147), (153, 2) = HFloat(2.33343946824086901), (154, 1) =
HFloat(1.53817161819095460), (154, 2) = HFloat(2.36597192700818004), (155, 1) =
HFloat(1.54732767417085437), (155, 2) = HFloat(2.39422293125498564), (156, 1) =
HFloat(1.55775535316582903), (156, 2) = HFloat(2.42660174031679654), (157, 1) =
HFloat(1.56782797628140713), (157, 2) = HFloat(2.45808456321065272), (158, 1) =
HFloat(1.57789401919598005), (158, 2) = HFloat(2.48974953581444369), (159, 1) =
HFloat(1.58792303095477383), (159, 2) = HFloat(2.52149955223659550), (160, 1) =
HFloat(1.59755777155778911), (160, 2) = HFloat(2.55219083346468922), (161, 1) =
HFloat(1.60797318130653277), (161, 2) = HFloat(2.58557775180105187), (162, 1) =
HFloat(1.61789982201005023), (162, 2) = HFloat(2.61759983406015229), (163, 1) =
HFloat(1.62834714391959801), (163, 2) = HFloat(2.65151442111111191), (164, 1) =
HFloat(1.63780448603015083), (164, 2) = HFloat(2.68240353446048641), (165, 1) =
HFloat(1.64825661949748747), (165, 2) = HFloat(2.71674988371728521), (166, 1) =
HFloat(1.65826794201005034), (166, 2) = HFloat(2.74985256749824769), (167, 1) =
HFloat(1.66825489668341720), (167, 2) = HFloat(2.78307440030819908), (168, 1) =
HFloat(1.67868630954773868), (168, 2) = HFloat(2.81798772586300617), (169, 1) =
HFloat(1.68829402160804021), (169, 2) = HFloat(2.85033670339744960), (170, 1) =
HFloat(1.69813363296482422), (170, 2) = HFloat(2.88365783540631249), (171, 1) =
HFloat(1.70899773306532654), (171, 2) = HFloat(2.92067325162242497), (172, 1) =
HFloat(1.71883428582914588), (172, 2) = HFloat(2.95439130214179002), (173, 1) =
HFloat(1.72889400351758793), (173, 2) = HFloat(2.98907447539907345), (174, 1) =
HFloat(1.73912447728643227), (174, 2) = HFloat(3.02455394749680639), (175, 1) =
HFloat(1.74852827346733686), (175, 2) = HFloat(3.05735112311466573), (176, 1) =
HFloat(1.75855241567839204), (176, 2) = HFloat(3.09250659868830802), (177, 1) =
HFloat(1.76850025346733686), (177, 2) = HFloat(3.12759314651403475), (178, 1) =
HFloat(1.77914134773869348), (178, 2) = HFloat(3.16534393523345470), (179, 1) =
HFloat(1.78853165246231161), (179, 2) = HFloat(3.19884547185956691), (180, 1) =
HFloat(1.79936611477386954), (180, 2) = HFloat(3.23771841499641022), (181, 1) =
HFloat(1.80914338170854272), (181, 2) = HFloat(3.27299977557982169), (182, 1) =
HFloat(1.81881747628140711), (182, 2) = HFloat(3.30809701202666684), (183, 1) =
HFloat(1.82922023577889470), (183, 2) = HFloat(3.34604667098299524), (184, 1) =
HFloat(1.83966507658291456), (184, 2) = HFloat(3.38436759399882092), (185, 1) =
HFloat(1.84916833517587942), (185, 2) = HFloat(3.41942353181713354), (186, 1) =
HFloat(1.85926037366834174), (186, 2) = HFloat(3.45684913709334163), (187, 1) =
HFloat(1.86910921688442211), (187, 2) = HFloat(3.49356926464229778), (188, 1) =
HFloat(1.87978546683417092), (188, 2) = HFloat(3.53359340132096200), (189, 1) =
HFloat(1.88902339135678377), (189, 2) = HFloat(3.56840937309308481), (190, 1) =
HFloat(1.89963348351758787), (190, 2) = HFloat(3.60860737170116597), (191, 1) =
HFloat(1.90960752793969868), (191, 2) = HFloat(3.64660091076396720), (192, 1) =
HFloat(1.91948523396984938), (192, 2) = HFloat(3.68442356342828736), (193, 1) =
HFloat(1.92937079778894471), (193, 2) = HFloat(3.72247167536074919), (194, 1) =
HFloat(1.93945344713567835), (194, 2) = HFloat(3.76147967360646573), (195, 1) =
HFloat(1.95014088653266326), (195, 2) = HFloat(3.80304947732640164), (196, 1) =
HFloat(1.95994022190954786), (196, 2) = HFloat(3.84136567345884794), (197, 1) =
HFloat(1.96961342422110564), (197, 2) = HFloat(3.87937704087198920), (198, 1) =
HFloat(1.97995391829145739), (198, 2) = HFloat(3.92021751855769507), (199, 1) =
HFloat(1.99027190201005011), (199, 2) = HFloat(3.96118224393070228), (200, 1) =
HFloat(2.), (200, 2) = HFloat(4.)},datatype = float[8],storage = rectangular,
order = Fortran_order,shape = []),COLOUR(RGB,.47058824,0.,.54901961e-1,
_ATTRIBUTE("source" = "mathdefault"))),AXESLABELS(x,""),VIEW(0. .. 2.,DEFAULT,
_ATTRIBUTE("source" = "mathdefault")))

I also opened an old worksheet with plots and pressed the "!!!" buttom, but maple didn't plotted anything, but 3 years ago, it worked with the old version of maple.  Does anybody knows what the problem is?

Hello,

I'm struggling with following simple problem which I however cannot seem to implement easily in Maple:

• I have 2 different periodic functions: f1 and f2, each time in  variables x and t.
• On the second function f2 a duty cycle with period T and fraction q should need to be applied so that:
  • during the DUTY (=ON or 1) part of this period, so from 0 -> q*T, f2__DC=f2
  • during the remainder (=OFF or 0) part of this period, so from q*T->T, f2__DC=0
  • each subsequent DUTY part starts at the same point where it ended at the previous cycle, so as if f2 was 'froozen' during the OFF part (see code for more details, but basically this means that the t parameter needs to be constantly translated depending on which duty cycle we are in).
• In the end I want to calculate f1*f2 in a simple way using ranges for both variables x and t so that e.g. plotting can easily be done.

I've tried implicit functions and procedures but keep getting stuck whenever I introduce a second variable.  Somehow, Maple does not seem to work straightforward with non-univariate stuff.  Such an examples can also not be found in the programming guide so I'm hoping that one of you knows how to tackle this.

Any help will be much appreciated!
 

Download dutycycle_.mw