Added the files.

Formulas.txt

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+Use Average Weighted Grade to calculate Recovery and Processing cost then use these two to calculate cut off grade using the formula cof(g) = processing cost / ((net price) * recovery). Use inputs from a table. Make graphs in Python for the Cutoff Grade, Recovery, Processing Cost.
+
+
+cof(g) = processing cost / ((net price) * recovery)
+
+
+recovery = Rmax​ x (1−e^(−k⋅G))
+
+processing cost = C0​ + C1/G​​
+
+1. Fixed + Grade-Dependent Cost Model  
+processing cost = C0​ + C1/G​​
+
+2. Tabulated Cost Based on Grade
+
+Table equivalent for the given grade
+
+3. Regression from Real Cost Data (Realist)
+
+Linear: C = a + bG
+
+Inverse or logarithmic: C = a + b/G or C = alog⁡(G) + b
+
+1. Empirical Linear Model
+
+recovery = a + b × grade
+
+2. Exponential or Logistic Model (Realist)
+
+recovery = Rmax​ x (1−e^(−k⋅G))
+
+3. Stepwise or Tabulated Recovery
+
+Table equivalent for the given grade