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## org.optaplanner.core.impl.exhaustivesearch.node.bounder
Interface ScoreBounder

All Known Implementing Classes:
  TrendBasedScoreBounder

    public interface ScoreBounder

Method Summary
`Score` | `calculateOptimisticBound(ScoreDirector scoreDirector, Score score)` In OR terms, this is called the lower bound if they minimize, and upper bound if they maximize.
`Score` | `calculatePessimisticBound(ScoreDirector scoreDirector, Score score)` In OR terms, this is called the upper bound if they minimize, and lower bound if they maximize.

Method Detail

### calculateOptimisticBound

    Score calculateOptimisticBound(ScoreDirector scoreDirector,
                                   Score score)

  In OR terms, this is called the lower bound if they minimize, and upper bound if they maximize. Because we always maximize the `Score`, calling it lower bound would be a contradiction.

  Parameters:
    `scoreDirector` - never null, use `ScoreDirector.getWorkingSolution()` to get the working `Solution`
    `score` - never null, the `Score` of the working `Solution`
  Returns:
    never null, never worse than the best possible `Score` we can get by initializing the uninitialized variables of the working `Solution`.

### calculatePessimisticBound

    Score calculatePessimisticBound(ScoreDirector scoreDirector,
                                    Score score)

  In OR terms, this is called the upper bound if they minimize, and lower bound if they maximize. Because we always maximize the `Score`, calling it upper bound would be a contradiction.

  Parameters:
    `scoreDirector` - never null, use `ScoreDirector.getWorkingSolution()` to get the working `Solution`
    `score` - never null, the `Score` of the working `Solution`
  Returns:
    never null, never better than the worst possible `Score` we can get by initializing the uninitialized variables of the working `Solution`.

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