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I need to maximize two multivariate objective functions (f(x1,y1,z1,t1) and g(x2,y2,z2,t2)) with inequality and nonnegativity constraints (x1, x2>0 and y1, z1, t1, y2, z2, t2 >=0). I am looking for parametric not numerical solutions.

What is the best way to find the solution to such a problem using maple?

When using Maximize, is it possible to now what parameter settings that resulted in complex numbers?

KR Fredrik


Maximize(Eq1_new, {R_K*rho*`&sigma;_K`+R_S*`&sigma;_S` >= .38780613588076011954, r_K*rho*`&sigma;_K`+r_S*`&sigma;_S` >= .21290471165685214846, R_K*rho*`&sigma;_K`+R_S*`&sigma;_S` <= .38780613588076011954, r_K*rho*`&sigma;_K`+r_S*`&sigma;_S` <= .21290471165685214846});

Error, (in Optimization:-NLPSolve) complex value encountered

Hello everyone,

Jus started using Maple and I was wondering why maple doesn't execute the following function:




Hi every one,


I tried to get the max $ min of a following function:



eq1 := (alpha+(l+alpha)*u+alpha*k*u^2)*a =

I did this code but it seems it didnt work for this equation

maximize(eq, u=1..12, location);

minimize(eq, u=1..12, location);

Also, I think about solving the cubic i feel i'm so close to the solve but couldn't



Q:=(a,u)->eq;sol:=evalf(solve(Q(a,u),u)): S:=array([],1..3): S[1]:=sol[1]:S[2]:=sol[2]:S[3]:=sol[3]:


the same thing wanted to get the maximum and the minimum of the function v

here the code

U:=[solve(eval(eq1,params),u)]; #3 solutions for u
#plots:-complexplot(U,a=0..20,style=point); #plot in the complex u-plane
vua:=eval(solve(eq2,v),params): #v expressed in terms of u and a
V:=eval~(vua,u=~U): #the 3 solutions for v in terms of a

## PLOT the function V

I do appricaited any advises


Trying to find the maximum values of the implicit function.. I tree the following commands.






maximize((alpha+(l+alpha)*u+alpha*k*u^2)*a=u*(alpha+(l+alpha)*u+alpha*k*u^2)*(1+l*alpha*b/((alpha+(l+alpha)*u+alpha*k*u^2))), N=0.5..1, location);

Any help I'll appriciated 


I'm new to Maple, so my question could appear idiotic. But, anyway. :-)

I want to understand the restrictions of code generation in Maple.
What functions could I convert to code?
Only listed in "Translation of Functions" block in this link?

For example, I've found this post - 

Could functions "Maximize" and "diff" be converted to Java, VB or something or not? If yes, how?

Thanks anyway. :-)

hi maplefriends, i´m trying to solve a piecewise funtion, and gold is find the maximum and  location, for that i use de package Maximize.unfortunately the result i have is the local maximum, can anyone show me, how can i do that? >  >  Download maximize_abs.mwbest regards

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I have a question concerning the change of the results of Maximization procedure and it will be much appreciated if you could help me.
The case is: I need to find the maximum of a function (call if f(t)) given a range of values of another function (call it g(t)).Both sets of parameters are the same. I use "Maximize" command, but I need to plot the the results on (f,g) plane afterwards. How could I change the Maximization output in order to have only objective function...

Dear members,

I am trying to solve a maximalization problem, but in stead of solving my problem Maple only displays the equation that I am trying to solve.


>  Sigma_max:= maximize(-N/(b*h)+(-EI*(diff(u(x),x,x)))*0.5*h/I, x=0..l = sigma_t;

sigma_max:=maximize(-0.400000cos(0.25pi)N+564e*N*x .....etc...., x = 0..250)=1.43 106

Hi, I need to maximize a quadratice function and I need to check if my variables are satisfying the Kuhn-Tucker conditions or not.

I defined the objective and I want to use the command

QPSolve(`&varphi;`, assume = nonnegative, maximize);

and the Kuhn-Tucker conditions that I want to apply are

(&PartialD;)/(&PartialD; x[i]) `&varphi;`=0 and x[i]>=0; or (&PartialD;)/(&PartialD; x[i]) `&varphi;`<=0 and x[i]=0


I have equations of the form x=max( f(x,u,E) ), where x is the unknown "variable" to solve for, where u is the "control" variable that can be selected to maximize f, and where E is a parameter. These are all real, positive scalars on [0,1].

One of my objectives is to plot x against E, for those values of u that solve the maximization. In my problem, the optimal values of u are expected to be unique for a given value of E.

My approach was to define...



I am trying to maximize

So I've got this function here:

binomial(37, x-105)*.85^(142-x)*.15^(x-105)

I'm trying to maximize it over the reals using Maple 16. I know from the graph that the maximum is somewhere between 109 and 111. I tried using maximize( f(x), x=109..111) but it keeps giving an overflow exception. How would I go about maximizing this?

I am trying to maximize a non-linear function f with respect to variables {a,b}.

Could any one suggest a smarter way of entering this into Maple please, as I am not able to get an answer.Thank you.

The function (shown below) also has the parameters {c,H} in it and I have the constraint:


My Function f:

(256 a^4 (4 c - H) + (1604 c - 10385 H) H^4 -
   60 b^3 H (56 c + 177 H) + 6 b^2 H^2 (-708 c + 1663 H) +

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