replacement later 

Enter complex function and use plot 2D 3D button
complexe_plot_maplet_voor_t_en_x_defB_15-3-2026.mw

Input of 3 functions with adjustable parameter slider range and name for real-valued functions
3_functies_los_of_tegelijk_plotten_met_instelbare_parameters_Maplet_DEFA_15-3-2026.mw

@salim-barzani 
It's a start; the next step is to adapt the maplet for functions  with parameters 

@salim-barzani 
Plotting functions combining.
3_functies_tegelijk_plotten_maplet-DEF.mw

Maplet coding is much more difficult then explore plot coding , but  maplet coding offers more configurations for  a  GUI design.

Download 3_functies_tegelijk_plotten_maplet-DEF.mw

@jalal

You must first determine which educational situation applies for two skew lines in space, their orientation:

• intersecting lines

• parallel lines

• skew lines

@nm 
Unfortunately, I can't help you any further, because I don't have enough experience with it.

Strangely enough, you chose a maplet without sliders as the best answer?
Indeed, the parameters for this are much clearer, but this can also be done for the maplet with sliders.
The maplet with sliders is much easier to use for research, in my opinion.

Mapleprimes is blocking this maplet code ?, so you can download it. 
It could be exercise to do this with the maplet editor, but seems to me a challence to start with.

https://www.dropbox.com/scl/fi/8q8zgmdonxqgij8mtas9v/lotka-volterra-slider-Def-mprimes.mw?rlkey=vt84fwl619dt4fe816gren8yq&st=qj9v2zkf&dl=0

final version Lotka Volterra with linked plots : note : access denied for uploading now ?
note: I am surprised by the ai quality in helping me with this maplet, as I had not had a good experience with it before.
There is a user-unfriendly maplet editor what you can use to build maplets.

What are the equilibrium points in the phase plot ( if existing) ?

@dharr There are multiple ways in Maple to solve mathematical problems. Well, I think it's quite an achievement to develop these procedural paths by you , compared to the code I produced.

@dharr 

That's a substantial procedure called paths.
Indeed, 510 paths, and the algorithm created seems shorter and uses a different calculation method.
Just for fun, I created an animation that shows all the paths.
There is no control mechanism code to check whether the number of paths is correct, but that is possible.
I take no credit whatsoever for this code,

restart:
with(plots):

interface(warnlevel=0):

# =====================================
# ROOSTER
# =====================================

W := 11:
H := 3:

start := [2,2]:
finish := [10,2]:

visited := Array(1..W,1..H,fill=false):

count := 0:

# =====================================
# ROOSTER TEKENEN
# =====================================

gridlines := []:

for i from 1 to W+1 do
    gridlines := [op(gridlines),
        plot([[i,1],[i,H+1]],color=gray)]:
od:

for j from 1 to H+1 do
    gridlines := [op(gridlines),
        plot([[1,j],[W+1,j]],color=gray)]:
od:

grid := display(gridlines):

# =====================================
# BEGIN- EN EINDPUNT MARKERING
# =====================================

startplot := pointplot(
    [[start[1]+0.5,start[2]+0.5]],
    symbol=solidcircle,
    symbolsize=20,
    color=green):

finishplot := pointplot(
    [[finish[1]+0.5,finish[2]+0.5]],
    symbol=solidcircle,
    symbolsize=20,
    color=red):

# =====================================
# BUURFUNCTIE
# =====================================

neighbors := proc(x,y)
local L,d,nx,ny;

L := [];

for d in [[1,0],[-1,0],[0,1],[0,-1]] do
    nx := x+d[1]:
    ny := y+d[2]:

    if nx>=1 and nx<=W and ny>=1 and ny<=H then
        L := [op(L),[nx,ny]]:
    fi:
od:

return L:

end proc:

# =====================================
# FRAMES OPSLAG
# =====================================

frames := []:

add_frame := proc(path)

global frames,count,grid,startplot,finishplot;

local pts,p1,p2,label,i,frame;

pts := [seq([path[i][1]+0.5,path[i][2]+0.5], i=1..nops(path))];

p1 := pointplot(
    pts,
    symbol=solidcircle,
    symbolsize=12,
    color=blue):

p2 := plot(
    pts,
    thickness=4,
    color=red):

label := textplot(
    [6,4,cat("Aantal gevonden paden = ",count)]
):

frame := display(
    [grid,p1,p2,startplot,finishplot,label],
    axes=none,
    scaling=constrained,
    view=[1..W+1,1..H+1]
):

frames := [op(frames), frame]:

end proc:

# =====================================
# DFS
# =====================================

DFS := proc(x,y,path,steps)

global visited,count,W,H,finish;

local nb,nx,ny;

if [x,y]=finish and steps=W*H then

    count := count+1:

    add_frame(path):

    return:

fi:

for nb in neighbors(x,y) do

    nx := nb[1]:
    ny := nb[2]:

    if not visited[nx,ny] then

        visited[nx,ny] := true:

        DFS(nx,ny,[op(path),[nx,ny]],steps+1):

        visited[nx,ny] := false:

    fi:

od:

end proc:

# =====================================
# START
# =====================================

visited[start[1],start[2]] := true:

DFS(start[1],start[2],[start],1):

# =====================================
# ANIMATIE
# =====================================

display(frames,insequence=true);

@KIRAN SAJJAN 
Can't make it more from it now
fig_8a_vraagmprimes_25-2-2026.mw

@Kitonum , Thank you, it's now clear what it's about.

@Kitonum 
How do you call this graph ?
Its not a Hamilton graph.