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A solution can be represented in two main ways: as a variable-size subset of selected jobs (e.g., $S1 = {J_1, J_4}$), or as a fixed-size binary vector where each position corresponds to a job and the value indicates whether the job is done (1) or not (0) (e.g., $S2 = {1, 0, 0, 1}$).

Conditions: The problem involves selecting a subset of jobs from a given set.; The representation must clearly indicate which jobs are included in the solution.

A solution can be represented in two main ways: as a variable-size subset of selected jobs (e.g., $S1 = {J_1, J_4}$), or as a fixed-size binary vector where each position corresponds to a job and the value indicates whether the job is done (1) or not (0) (e.g., $S2 = {1, 0, 0, 1}$).

Conditions: The problem involves selecting a subset of jobs from a given set.; The representation must clearly indicate which jobs are included in the solution.

Branch and Bound is primarily used for solving optimization problems, specifically minimization problems. Maximization problems can be converted into minimization problems to be solved using this method.

Conditions: The problem is an optimization problem.; The method is applied to find the optimal solution (minimum or maximum).

Branch and Bound is primarily used for solving optimization problems, specifically minimization problems. Maximization problems can be converted into minimization problems to be solved using this method.

Conditions: The problem is an optimization problem.; The method is applied to find the optimal solution (minimum or maximum).