Maple Questions and Posts

These are Posts and Questions associated with the product, Maple

Hi,

 

I need help formulating a biased coin toss.

 

I want to toss a coin 0 being heads and 1 being tails with probabilty 0.495 of getting heads, how do I show whether heads or tails wins??

 

Thanks

Good morning to all our Mapleprimes members.

 

It is very helpful to many persons who are very passion and dedicated to teach Mathematics using Maple technology if the software package is loaded with updated maple procedures of all the topics.

I am being of them, request the technical authorities and the eminant professors to support and develop this requirement.It becomes an open door to many people to enter and aquire the immence knowledge in Maple.

 

 

With thanks & Regards

 

M.Anand

Assistant Professor in Mathematics

SR International Institute of Technology,

Hyderabad, Andhra Pradesh, INDIA.

Good morning sir.

 

I request your kind support to the above cited query.

 

 

With thanks & Regards

 

M.Anand

Assistant Professor in Mathematics

SR International Institute of Technology,

Hyderabad, Andhra Pradesh, INDIA.

Good morning sir.

 

I request your kind support to the above cited question.

 

 

With thanks & Regards

 

M.Anand

Assistant Professor in Mathematics

SR International Institute of Technology,

Hyderabad, Andhra Pradesh, INDIA.

Dear All,

please help me with my problem. i have quite a big program all parts of which are distributed in the several code edit regions and in the main text. i'd like to find all occurenses of gven text in all open documents including code edit regions. i know how to do it manually by openening each code edit regiong and pressing Ctrl-F. however it is very time consuming and defocuses me apart from my main tasks. i'd prefer to use some combinations of 'hot keys' on the keybord or one or two mouse clicks as for example in MS Visual Studio.  

The question of how to do matrix operations over a finite field with p^k elements k>1 was raised in this forum in April 27 2010. I wonder if there has been any progress since then for recent versions of Maple.

I am expecially interested in finding the rank of a matrix over a field of order p^k, k > 1.

 

Hello all, 

During my last attempt to solve ODE system (autonomous system which includes 3 first order diff. equations) with initial conditions, Maple had performed the solution which includes d_z1 parameter as follows below (I present the solution of one of the equations):

S(t)=S(0)∫(QN_z1+A)d_z1, where integral ∫ is defined integral from 0 to t, S(0) is the initial value of S, Q, N and A are the parameters. I would like to ask, what does it mean _z1 and d_z1? Why if the ODE system is only time dependent, I received the integral with other differential, that is d_z1? Does it mean that the integral can't be evaluated or maybe something else?

Thanks in advance,

Dmitry

 

 

Hello,

I am trying to find all the roots of this equation and to solve it:

exp(x)*cos(x)+1=0

but doing fsolve(exp(x)*cos(x)+1,x=0..10) it gives me only one solution, while I know that there is more than one solution. How can I do in order to solve this equation and have all the roots in the range 0..10?

I really can't figure it out!

Thank you

 

Giulia

I am creating a plot in Maple17 which will include many line segments and polygons.  I want the axes to be equally scaled, so that line segments that are perpendicular actually look perpendicular.  When I view what I have created so far, line segments that are perpendicular do not appear to be so in a plot, even though I used the "scaling=constrained" option several times.  I created a stripped-down file that isolates the problem.  Here it is:

> 

restart:

> 

with(plots):

> 

segp := proc(pt1, pt2)
  description "plot of line segment between two points";
  local m;
 m:=Matrix([pt1,pt2]):
  polygonplot(m,thickness=1,scaling=constrained);
end proc:

> 

slope := proc(pt1, pt2)
  description "slope of line segment btwn two different points";
  (pt2[2]-pt1[2])/(pt2[1]-pt1[1])
end proc:

 

 
> 

pa9:=[0.1864032968, 0.9824733131];

[.1864032968, .9824733131]

(1)
> 

pa16:=[0.6816387600, 0.7316888689];

[.6816387600, .7316888689]

(2)
> 

pd9:=[0.05940746930, 0.7316888689];

[0.5940746930e-1, .7316888689]

(3)
> 

slope(pa9,pa16)*slope(pa9,pd9);

-1.000000000

(4)
> 

display({segp(pa9,pa16),segp(pa9,pd9)},scaling=constrained);

 
> 

 

> 

 

> 

 


Download perp.mw

 



An angle that should be a right angle looks obtuse in the plot.  I used "scaling=constrained" in both the "display" command and the "segp" procedure.  I am using "polygonplot" to plot line segments (degenerate polygons) because the final plot will contain genuine polygons and this seemed like the easiest way to do it.  If this is a bad idea for some reason I can change it.

 

GS

so would anybody know how to write a function that checks whether two line segments intersect?  each line segment is given a list [[a,b],[x,y]] , of 2 lists with 2 numbers in each.   

it should return  "True" if ∃s,t ∈ [0,t] : sa+(1-s)b =tx+(1-t)y ,  else"False"

 I haven't a clue so any help would be appreciated,

thanks in advance.

I can't seem to find what's wrong with this function:

F:= x-> (-c-ax)/b;
G:=x-> (-d-ex)/f;
If -a/b = -e/f then print (false) else print (true); end if;

Hello,

For a control systems project I'am working on I need to minimize the actuator effort required to control an input voltage to certain output voltage. As a first experiment I chose a sinusoidal input ug and a sinusoidal output ul. The function to minimize is the funtion Uint. We know that when both the input voltage and output voltage share the frequency, phase and amplitude, that the control effort is zero. Running the animation (see Maple input below) shows that if the input and output voltage frequencies approach eachother the function Uint goes to zero. However, if the frequencies exactly match and I evaluate the function Uint I get a devision by zero notification (this could already be seen from the function of Uint). How can I solve this?

> 

restart

> 

with(plots):

> 

u[G] := sin(omega[G]*t)

> 

u[L] := sin(omega[L]*t)

> 

U[int] := int((u[G]-u[L])^2, t)

> 

omega[G] := 9:

> 

animate(plot, [[u[G], u[L], (1/10)*U[int]], t = 0 .. 5, legend = ["Public grid voltage", "Local grid voltage (control goal)", "Cum. Actuator voltage (scaled)"]], omega[L] = 8 .. 10, gridlines = true, labels = ["Time [s]","Voltage [V]"], labeldirections = ["horizontal", "vertical"], labelfont = ["ARIAL", "bold", 12])

> 

omega[L] := 9; t := 10; evalf(U[int])

> 

NULL

 

Download 20131109_Division_by.mw

 

Thanks

I have just started using Maple 17 for general relativity, and I have managed to set up coordinates and enter a somewhat complicated spacetime metric, and to find the Killing vectors for the metric.

I can't seem to do something much more basic, though, initialize the components of a vector field as functions of the coordinates.

For example, how would I set up a 4-vector field A such that the contravariant component A^3 = cosh(x2), where x2 is one of my coordinates?

Thanks.

restart;
with(plots):
with(Optimization):
with(LinearAlgebra):
with(Statistics):
with(DEtools):
x11 := <0.208408965651696e-3, -0.157194487523421e-2, -0.294739401402979e-2, 0.788206708183853e-2, 0.499394753201753e-2, 0.191468321959759e-3, 0.504980449104750e-2, 0.222150494088535e-2, 0.132091821964287e-2, 0.161118434883258e-2, -0.281236534046873e-2, -0.398055875132037e-2, -0.111753680372819e-1, 0.588868146012489e-2, -0.354191562612469e-2, 0.984082837373291e-3, -0.116041186868374e-1, 0.603027845850267e-3, -0.448778128168742e-2, -0.127561485214862e-1, -0.412027655195339e-2, 0.379387381798949e-2, -0.602550446997765e-2, -0.605986284736216e-2, -0.751396992404410e-2, 0.633613424008655e-2, -0.677581832613623e-2>;
y11 := <-21321.9719565717, 231.709204951251, 1527.92905167191, -32.8508507060675, 54.9408176234139, -99.4222178124229, -675.771433486265, 42.0838668074923, -12559.3183308951, 5.21412214166344*10^5, 1110.50031772203, 3.67149699000155, -108.543878970269, -8.48861069398811, -521.810552387313, 26.4792411876883, -8.32240296737599, -1085.40982521906, -44.1390030597906, -203.891397612798, -56.3746416571417, -218.205643256096, -178.991498697065, -42.2468018350386, .328546922634921, -1883.18308996621, 111.747881085748>;
z11 := <1549.88755331800, -329.861725802688, 8.54200301129155, -283.381775745327, -54.5469129127573, 1875.94875597129, -16.2230517860850, 6084.82381954832, 1146.15489803104, -456.460512914647, 104.533252701641, 16.3998365630734, 11.5710907832054, -175.370276462696, 33.8045539958636, 2029.50029336951, 1387.92643570857, 9.54717543291120, -1999.09590358328, 29.7628085078953, 2.58210333216737*10^6, 57.7969622731082, -6.42551196941394, -8549.23677077892, -49.0081775323244, -72.5156360537114, 183.539911458475>;
ICS:=[x1(0)=x11[1],y1(0)=y11[1],z1(0)=z11[1]];
N := Dimension(x11)-1:
sys1 := [Diff(x1(t),t) = k1*x1(t)+ k2*y1(t)+ k3*z1(t), Diff(y1(t),t) = k5*x1(t)+ k6*y1(t)+ k7*z1(t), Diff(z1(t),t) = k9*x1(t)+ k10*y1(t)+ k11*z1(t)];
SS := proc(k1,k2,k3,k5,k6,k7,k9,k10,k11)
local F, V;
if not type([k1,k2,k3,k5,k6,k7,k9,k10,k11],[numeric,numeric,numeric,numeric,numeric,numeric,numeric,numeric,numeric]) then return 'SS'(k1,k2,k3,k5,k6,k7,k9,k10,k11);
elif k1<0 or k2<0 or k3<0 or k5<0 or k6<0 or k7<0 or k9<0 or k10<0 or k11<0 then return 1e100;
end if;
F := dsolve(eval({Diff(x1(t),t) = k1*x1(t)+ k2*y1(t)+ k3*z1(t), Diff(y1(t),t) = k5*x1(t)+ k6*y1(t)+ k7*z1(t), Diff(z1(t),t) = k9*x1(t)+ k10*y1(t)+ k11*z1(t),x1(0)=x11[1],y1(0)=y11[1],z1(0)=z11[1]},{:-k1=k1,:-k2=k2,:-k3=k3,:-k5=k5,:-k6=k6,:-k7=k7,:-k9=k9,:-k10=k10,:-k11=k11}), [x1(t),y1(t),z1(t)], numeric, output=Array([seq(k,k=0..N)]));
V := convert(Column(F[2,1],2),Vector);
Norm(V-x11,2);
Norm(V-y11,2);
Norm(V-z11,2);
end proc:
params := NLPSolve(SS(k1,k2,k3,k5,k6,k7,k9,k10,k11), method=nonlinearsimplex, initialpoint=[k1=.1, k2=.1, k3=.1, k5=.1, k6=.1, k7=.1, k9=.1, k10=.1, k11=.1],evaluationlimit=200):

Warning, limiting number of function evaluations reached

reference from 

http://www.maplesoft.com/applications/view.aspx?SID=1667

when debug

k1=.1; k2=.1; k3=.1; k5=.1; k6=.1; k7=.1; k9=.1; k10=.1; k11=.1;
F := dsolve({Diff(x1(t),t) = k1*x1(t)+ k2*y1(t)+ k3*z1(t), Diff(y1(t),t) = k5*x1(t)+ k6*y1(t)+ k7*z1(t), Diff(z1(t),t) = k9*x1(t)+ k10*y1(t)+ k11*z1(t),x1(0)=x11[1],y1(0)=y11[1],z1(0)=z11[1]}, [x1(t),y1(t),z1(t)], numeric, output=Array([seq(k,k=0..N)]));

 

Warning, The use of global variables in numerical ODE problems is deprecated, and will be removed in a future release. Use the 'parameters' argument instead (see ?dsolve,numeric,parameters)
Error, (in dsolve/numeric) Array/array solutions cannot be obtained for ODE containing unassigned global variables {k1, k10, k11, k2, k3, k5, k6, k7, k9}

x11 := Vector([0.208408965651696e-3, -0.157194487523421e-2, -0.294739401402979e-2, 0.788206708183853e-2, 0.499394753201753e-2, 0.191468321959759e-3, 0.504980449104750e-2, 0.222150494088535e-2, 0.132091821964287e-2, 0.161118434883258e-2, -0.281236534046873e-2, -0.398055875132037e-2, -0.111753680372819e-1, 0.588868146012489e-2, -0.354191562612469e-2, 0.984082837373291e-3, -0.116041186868374e-1, 0.603027845850267e-3, -0.448778128168742e-2, -0.127561485214862e-1, -0.412027655195339e-2, 0.379387381798949e-2, -0.602550446997765e-2, -0.605986284736216e-2, -0.751396992404410e-2, 0.633613424008655e-2, -0.677581832613623e-2]):
y11 := Vector([ -21321.9719565717, 231.709204951251, 1527.92905167191, -32.8508507060675, 54.9408176234139, -99.4222178124229, -675.771433486265, 42.0838668074923, -12559.3183308951, 5.21412214166344*10^5, 1110.50031772203, 3.67149699000155, -108.543878970269, -8.48861069398811, -521.810552387313, 26.4792411876883, -8.32240296737599, -1085.40982521906, -44.1390030597906, -203.891397612798, -56.3746416571417, -218.205643256096, -178.991498697065, -42.2468018350386, .328546922634921, -1883.18308996621, 111.747881085748]):
z11 := Vector([ 1549.88755331800, -329.861725802688, 8.54200301129155, -283.381775745327, -54.5469129127573, 1875.94875597129, -16.2230517860850, 6084.82381954832, 1146.15489803104, -456.460512914647, 104.533252701641, 16.3998365630734, 11.5710907832054, -175.370276462696, 33.8045539958636, 2029.50029336951, 1387.92643570857, 9.54717543291120, -1999.09590358328, 29.7628085078953, 2.58210333216737*10^6, 57.7969622731082, -6.42551196941394, -8549.23677077892, -49.0081775323244, -72.5156360537114, 183.539911458475]):

 

a1 := Diff(x1(t),t) = k1*x1(t)+ k2*y1(t)+ k3*z1(t) + k4*u(t);
b1 := Diff(y1(t),t) = k5*x1(t)+ k6*y1(t)+ k7*z1(t) + k8*u(t);
c1 := Diff(z1(t),t) = k9*x1(t)+ k10*y1(t)+ k11*z1(t) + k12*u(t);
d1 := Diff(u(t), t) = 0;
ICS:=x1(0)=x11[1],y1(0)=y11[1],z1(0)=z11[1];
solL:=dsolve({a1,b1,c1,d1,ICS}, numeric, method=rkf45, parameters=[k1,k2,k3,k4,k5,k6,k7,k8,k9,k10,k11,k12]);
ans:=proc(p1,p2,p3) solL(parameters=[a1=p1,b1=p2,c1=p3]); end proc:
FitParams:=Statistics:-NonlinearFit(ans, x11, y11, z11, x1, y1, z1);

 

Error, (in Statistics:-NonlinearFit) unexpected parameters: Vector(27, {(1) = 1549.88755331800, (2) = -329.861725802688, (3) = 8.54200301129155, (4) = -283.381775745327, (5) = -54.5469129127573, (6) = 1875.94875597129, (7) = -16.2230517860850, (8) = 6084.82381954832, (9) = 1146.15489803104, (10) = -456.460512914647, (11) = 104.533252701641, (12) = 16.3998365630734, (13) = 11.5710907832054, (14) = -175.370276462696, (15) = 33.8045539958636, (16) = 2029.50029336951, (17) = 1387.92643570857, (18) = 9.54717543291120, (19) = -1999.09590358328, (20) = 29.7628085078953, (21) = 2582103.332, (22) = 57.7969622731082, (23) = -6.42551196941394, (24) = -...

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