Joe Riel

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15 years, 18 days

MaplePrimes Activity

These are answers submitted by Joe Riel

The best approach depends on what you want to do with the result. 

Let nx be a piecewise whose condition is some arbitrary relation.

(**) nx := piecewise(x > 0, +1, -1);
(**) y := nx^n:
(**) simplify(y) assuming n :: even;                                                                                             
(**) simplify(y) assuming n :: odd;                                                   
                                  { -1        x <= 0
                                  { 1         0 < x

Another approach is to use a set to represent the possible values.

(**) nx := {+1,-1};                                                                   
                                    nx := {-1, 1}

(**) y := nx^~n;                                                                      
                                   y := {1, (-1) }

(**) simplify(y) assuming n :: even;                                                  

(**) simplify(y) assuming n :: odd;                                                   
                                       {-1, 1}

While I suspect that neither of these is what you're looking for, note that you can do

(**) nx := piecewise(x<0,-1,1):
(**) hx := convert(nx, Heaviside);
                             hx := 2 Heaviside(x) - 1

(**) y := hx^n;
                            y := (2 Heaviside(x) - 1)

(**) simplify(y) assuming n :: even;

(**) simplify(y) assuming n :: odd;
                                2 Heaviside(x) - 1

To generate the probability correctly, you need to generate all permutations of the 9 digits.

F := Permute(1..9):
picks := [seq(add(add(10^(i-1)*f[i+j],i=1..3),j=0..8,3),f = F)]:
rng := (min..max)(picks);
                        rng := 774 .. 2556
# Find unique values
vals := convert(picks,set):
num := numelems(vals);
                           num := 199
# Determine entry that occurs the most
A := Array(rng):
for val in picks do A[val] := A[val]+1; end do:
imax := max[index](A);
                          imax := 1764

Further While it is mostly pointless here, a better technique would be to avoid generating all the picks as a list.

T := table(sparse):
for f in F do
   val := add(add(10^(i-1)*f[i+j],i=1..3),j=0..8,3);
   T[val] := T[val] + 1;
end do:

A downside is that it is a little less convenient to find the max entry and associated value, however, because there are multiple indices with the same entry, we need to do this, regardless.

vmax := max(entries(T,'nolist'));
                                  vmax := 3888
for i in [indices(T,'nolist')] do 
    if T[i] = vmax then print(i) end if 
end do:

Those agree with the values you listed.

The Statistics package could be used here

X := RandomVariable(EmpiricalDistribution(picks)):
S := Sample(X,1000):

To remove identities I usually go with


I don't get that error, but rather 

cannot determine if this expression is true or false: .7444168734e-1*p < -.5300353358*p+1.578268991

That comes from using ai in the condition ai>aineg (and elsewhere), with p unassigned. I suspect that at some point you assigned NULL to p.

Is this what you want to do

local ex, exnum, xnum, ynum; 
uses DocumentTools;
    xnum := parse(GetProperty("TextArea0", "value"));
    ynum := parse(GetProperty("TextArea1", "value"));
    ex := GetProperty("MathContainer0", "expression");
    exnum := eval(ex, ['x'=xnum, 'y'=ynum]);
    SetProperty("TextArea2", "value", exnum);

You can use the second equation to eliminate M__Revolute(t) from the first. Open a Worksheet template and do

A := MapleSim:-LinkModel():
A:-SetSubstitutions([`Main.SpringDamper.c` = c__SpriD, `Main.SpringDamper.d` = d__SpriD, `Main.SpringDamper.phi_rel0` = PhiR0__SpriD, `Main.Revolute.M`(t) = M__Revolute(t), `Main.Revolute.theta`(t) = theta__Revolute(t)], 'nocheck'):
eqs := A:-GetEquations('output' = 'all', 'inputs' = {}, 'filter' = [], 'simplify' = true, 'params' = {`Main.SpringDamper.c`, `Main.SpringDamper.d`}):
dae := eqs[1];
subs(isolate(dae[2],M__Revolute(t)), dae[1]);

UseHardwareFloats is a Maple environment variable.  As such, it gets reset to its previous value when the procedure that assigned it (ModuleLoad) exits.. 

Use the fouriercos and fouriersin procedures in the inttrans package.  Use piecewise to create the expression you want to transform. For example

with(inttrans): # load the inttrans package
y := piecewise(t < 1, exp(t), 1);
fouriercos(y, t, s);

Replace the curly braces with regular parentheses, then use solve.

eq := alpha+(6*RK[1]*alpha+2+(96/5)*R^2*K^2*alpha^2-(1/6)*R*alpha+64*R^3*K^3*alpha^3)*beta+((24/5)*RK+44*R^2*K^2*alpha^3)*beta^2=0:
solve(eq, alpha);
solve(eq, beta);

Using print, as shown by acer, is the recommended way to do this. Here is an alternative.

t := 0:
for i to 11 do
    if 1=1 then
        j := i + i^2;
        k := j + t;
    end if;
    t := j/k;
end do;

That works because Maple uses the value of the global variable printlevel to determine what to print when evaluating substatements in a statement terminated with a semicolon. The default value of printlevel is 1, which prints the result of substatements at level 1 or lower. Note that if true is used rather than 1=1 as the condition, Maple's simplifier will fully evaluate the conditional statement so the nested assignments will appear at level 1 and so be printed.

Further Rather than adding dummy levels, you could modify printlevel directly. For example

t := 0:
for i to 11 do
    printlevel := 0;
    j := i + i^2;
    k := j + t;
    t := j/k;
end do;

Note the use of the assign function, which returns NULL (so prints nothing) when resetting printlevel to 1. If a regular assignment statement was used then that assignment would be printed.

The Maple assignment operator is two-characters:

  Dmax := 0;

Change the equations that are supposed to be assignments. Also, I don't know what D.i is supposed to represent, but that cannot be on the lhs of an assignment. Maybe you are trying to create a table of values, in which case you'd use D[i],except that D is protected (it corresponds to a differential operator), so use d[i].

@mostafaorooji One approach is to to use LargeExpressions:-Veil:

subsindets(ans, specfunc(exp), Veil[Z]);
              w(x) = _C1*Z[1]+_C2*Z[2]+_C3*Z[3]+_C4*Z[4]

Check the help for LargeExpressions.

{ op(s1), op(s2), ... }

It seems like you just want to count in base 3.  This could be down with MixedRadixTuples in the Iterator package:

C := MixedRadixTuples([3,3,3]):
S := [l,m,h]:
     , cat(CPC_, S[c[1]+1])
     , cat(SIZE_,S[c[2]+1])
     , cat(SH_,  S[c[3]+1])
    ], c in C);

Am thinking it is asking whether you want to upgrade your 2018.1 to 2018.2, which has been recently released.

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