Introduction:
The linear programming section in Paper I of the UPSC exam assesses a candidate's ability to solve optimization problems using linear programming techniques. To tackle this section effectively, candidates need to have a clear understanding of the concepts and employ specific strategies. In this guide, we will discuss the strategies for tackling the linear programming section in detail.

Understanding the Problem:
Before attempting to solve a linear programming problem, it is crucial to thoroughly understand the problem statement and identify the key variables and constraints. This understanding will help in formulating the objective function and constraints accurately.

Formulating the Objective Function:
The objective function represents the goal of the optimization problem. It is essential to identify the objective of the problem and formulate the objective function accordingly. The objective function should be linear and either maximization or minimization.

Identifying Constraints:
Constraints are the limitations or restrictions imposed on the variables of the problem. It is important to identify all the constraints and express them in the form of linear inequalities or equalities. Pay attention to any additional conditions mentioned in the problem statement.

Graphical Method:
The graphical method is a useful tool for solving linear programming problems graphically. It involves plotting the constraints on a graph and finding the feasible region. The optimal solution can be obtained by locating the point within the feasible region that maximizes or minimizes the objective function.

Simplex Method:
The simplex method is a powerful algorithm for solving linear programming problems algebraically. It involves converting the problem into a standard form and then applying the simplex algorithm to find the optimal solution. It is essential to practice the simplex method and understand its steps thoroughly.

Sensitivity Analysis:
Sensitivity analysis helps in understanding the impact of changes in the problem parameters on the optimal solution. It involves analyzing the shadow prices (dual values) and the range of feasibility for the constraints. Understanding sensitivity analysis can provide valuable insights into the problem.

Practice and Time Management:
Regular practice is crucial for mastering linear programming. Solve a variety of problems from different sources to enhance your problem-solving skills. Additionally, time management is vital during the exam. Allocate sufficient time to each question and avoid getting stuck on a single problem for too long.

Conclusion:
Tackling the linear programming section in Paper I requires a clear understanding of the problem, accurate formulation of the objective function and constraints, knowledge of graphical and algebraic methods, familiarity with sensitivity analysis, and regular practice. By following these strategies and managing time effectively, candidates can improve their performance in the linear programming section of the UPSC exam.