eq1 := y=−26.21231979∗z+15.42332896+13.22411533∗e−.6786000000∗x

eq2 := y=−25.98077423∗z+14.81943362+13.53858145∗e−.6569000000∗x

# Comparing both equations, eliminating y

# Putting z= 0.5044

fsolve(eval(rhs(eq1) = rhs(eq2), z = .5044))

I even done manually as well

-26.21231979*(0.5044)+15.42332896+13.22411533*e^(-.6786000000*x) =
 -25.98077423*(0.5044)+14.81943362+13.53858145*e^(-.6569000000*x)

I cannot find x value?  

But it doesn't evaluate the value of x. Any other solution.

Edit : My main task is to calculate value of x by putting any value of z This is just an example

How does one find a formula that  fits a given set of data  to the best advantage in Maple? 

e.g

a := [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10];

b := [ 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.011, 0.011, 0.011, 0.011, 0.011, 0.011, 0.011, 0.011, 0.011, 0.011];

c := [ -0.88, -8.87, -0.86, -0.82, -0.77, -0.71, -0.66, -0.62, -0.57, -0.54, -0.89, -0.88, -0.85, -0.81,...

I want to simplify my equations in Maple

In case of MATLAB i can write

a= 1:0.5:150;

 e= [0.001 0.05 0.151 0.201 0.301 0.951 2];

s= kron([e], ones(1, 12));

But, how to write and create matrix in this form using Maple? 

Thanks in advance

How to create a polynomial for the curve fitting of the 3D plot in Maple?

I have following data

a := [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10];

b := [ 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.011, 0.011, 0.011, 0.011, 0.011, 0.011, 0.011, 0.011, 0.011, 0.011];

c := [ -0.88, -8.87, -0.86, -0.82, -0.77, -0.71, -0.66, -0.62, -0.57, -0.54, -0.89, -0.88, -0.85, -0.81,...