In linear programming, key components include decision variables (quantities to optimize), the objective function (goal to maximize or minimize), and constraints (limitations expressed as inequalities). Non-negativity restrictions ensure decision variables are non-negative. Common constraints involve resource limits, demand requirements, and time availability. Clearly defining these elements enables effective problem formulation and solutions for optimal outcomes.