- #1
I'll bite.NascentOxygen said:Is there a question or something you intended should accompany your post?
Not that I will be able to help, but someone else may offer to ...
g2 = (9/\[Pi]^2) ((1 - 2 w)/(3 w (2 - 3 w)^3)^(1/2))
(EllipticK[(1 - 2 w)/(w (2 - 3 w)^3)])^(1/2);
Plot[g2, {w^2, 0, 1}]
g2 = (9/\[Pi]^2) ((1 - 2 w)/(3 w (2 - 3 w)^3)^(1/2))
EllipticK[((1 - 2 w)/(w (2 - 3 w)^3))^(1/2)];
Plot[g2, {w, 1/3, 1/2}]
Then you should know why the statementvesta33 said:I should stress that I know mathematica.
Plot[g2, {w^2, 0, 1}]
Obviously not, because you have not been able to reproduce the graph.vesta33 said:I had tried all possibly variaions before wrote here.
I did, told you what was wrong, and even gave you a correct replacement code, which is at least valid for part of the ##\bar{\omega}## domain.vesta33 said:If anyone wants help me please first of all run the code.
Both are fine. I was able to reproduce the figure in a couple of minutes. Before you ask for my code, note that this is not how things are done on PF. We don't feed you fish, we help with the fishing.vesta33 said:I think mathematica or the article has a bug.
Please do not reply before taking into account the replies of others.vesta33 said:Please nobody reply the message without running the code.
Plot Graphene Distribution Problem is a mathematical problem that involves finding the optimal way to distribute a given amount of graphene particles onto a surface in order to achieve a desired distribution pattern.
Plot Graphene Distribution Problem is important because it has practical applications in industries such as electronics, energy, and biomedicine. By understanding the optimal distribution of graphene particles, we can improve the performance of devices and applications that use graphene.
One of the main challenges in solving Plot Graphene Distribution Problem is the large number of variables involved, including the shape and size of the surface, the desired distribution pattern, and the properties of the graphene particles. Another challenge is finding an efficient algorithm to solve the problem in a reasonable amount of time.
Plot Graphene Distribution Problem is typically solved using mathematical models and algorithms, such as genetic algorithms, simulated annealing, and convex optimization. These methods allow for the efficient and accurate determination of the optimal distribution of graphene particles.
As our understanding of graphene and its properties continues to grow, we can expect to see more accurate and efficient methods for solving Plot Graphene Distribution Problem. In addition, advancements in technology and computing power may allow for the solution of more complex and realistic distribution problems.