I am trying to display the results by substituting values into a table format after solving the KKT conditions. I attempted to do this using Maplet, but it did not give the desired output or flexibility.

Could you please guide me on:

• The correct way to capture and display substituted results in a table?

• Any alternative syntax or functions (other than Maplet) that are better suited for this purpose?

I would also like to confirm whether the substitution I made for the lower and upper bounds—specifically C_min value  and C_max value —has been done correctly. Could you please verify if this is the correct way to implement these bounds within the KKT formulation?

KKT_Table_Q-22.mw

When optimizing with constraints, I’m getting an error: ‘NLP no feasible point’.

However, when I plot the graph, it shows a result — there appears to be a point where p1 is positive and s is maximized.

Could you help identify if there’s a syntax issue? Also, what’s the correct syntax to visualize the constraints in the plot?

Sheet: 07.mw

I need to export an image in high resolution in JPEG, JPG, and PDF formats. Right now, I'm using screenshots, which results in low clarity. Could you please help me with the correct syntax to generate a high-resolution, downloadable image in these formats? I'm attaching the file below:

q_new.mw

The two profit functions intersect at a certain point, but the graph is not clearly visible in the range of Cb​ from 30,000 to around 60,000. How can I adjust the plot to make this range more visible? What can i do such that two lines are seen distinct in that area?

Sheet:Q_12.mw

I'm working on an optimization problem involving a single decision variable p1, subject to four inequality constraints:

• Two upper bound constraints:

  p1 < b1,p1 < b2

• Two lower bound constraints:

  c1 ≤ p1,c2 ≤ p1

Effectively, the feasible region for p1 is:

max⁡(c1,c2)  ≤  p1  ≤  min⁡(b1,b2)

I have already formulated the Karush-Kuhn-Tucker (KKT) conditions for this setup, and now I'm trying to determine:

1. The optimal value p1∗​

2. The corresponding feasibility conditions

3. A case-wise breakdown depending on which constraints are active or inactive

Sheet:  Q_P1_Optimum_condition.mw