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Explain static vs. dynamic optimization

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By Team EasyExamNotes

Static OptimizationDynamic Optimization
DefinitionOptimization at compile-time or before executionOptimization at runtime
GoalImprove program performance by analyzing code and data structuresImprove program performance by monitoring execution and adapting to changing behavior
TechniquesCode transformations, data structure optimization, loop unrollingJIT compilation, profiling, adaptive optimization
AdvantageNo additional runtime overhead, can apply optimizations that can be determined in advanceCan adapt to changing program behavior and data characteristics
DisadvantageUnable to adapt to changing program behavior and data characteristicsAdditional runtime overhead, may not be effective in all cases
Best Use CasesWell-understood program behavior and data characteristicsUncertain or changing program behavior and data characteristics

Summary:

Static optimization is useful when the program’s behavior and data characteristics are well-understood and unlikely to change, while dynamic optimization is useful when the program’s behavior and data characteristics are uncertain or likely to change. Both techniques are important for improving program performance and should be used as appropriate for the specific program and its requirements.

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