👉 The finished math typically involves solving a complex problem, often from a field like calculus, linear algebra, or differential equations, using advanced techniques and concepts learned throughout the course. For instance, if the problem was to find the maximum or minimum of a function using optimization techniques, it might involve setting up and solving a system of equations derived from the function's derivative being zero (critical points). Applying the second derivative test to determine whether these points are maxima, minima, or saddle points, or using Lagrange multipliers for constrained optimization, would be key steps. The solution would also likely include graphical interpretations and possibly numerical methods for approximation if an analytical solution is too complex. The final result would provide a comprehensive answer, including the exact values or conditions that satisfy the problem's constraints and objectives.