Rácskeresés

Rácskeresés, often translated as "grid search" in English, is a systematic method for exploring a search space to find an optimal solution. It involves defining a grid of possible parameter values and evaluating the objective function at each point on this grid. This approach is commonly used in machine learning, optimization problems, and hyperparameter tuning.

The process begins with identifying the parameters that need to be optimized and defining a range of values for each. These ranges are then discretized into a set of points, forming a multi-dimensional grid. The algorithm then iterates through every combination of these parameter values, performing an evaluation at each grid point. The combination that yields the best result according to a predefined objective function is then selected as the optimal solution.

While rácskeresés is exhaustive and guaranteed to find the global optimum within the defined grid, its primary limitation is its computational cost. As the number of parameters and the number of discrete values for each parameter increase, the total number of evaluations grows exponentially. This makes it impractical for high-dimensional search spaces or when a very fine resolution is required. Despite this, it remains a valuable technique for smaller or moderately sized problems where thorough exploration is necessary.