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    If space reuse across computation branches is permitted i... — Carmelics
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    Challenges→NTIME(f(n)) is a subset of SPACE(f(n))

    If space reuse across computation branches is permitted in the deterministic simulation, the correctness of the simulation depends on confluence properties that are not guaranteed by f(n)-time bounds alone.

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    Key Terms

    computation branches(as used in computer science)
    Different paths or sequences of steps that a calculation can follow, like choosing between multiple routes to reach the same destination.
    confluence properties(as used in logic and computer science)
    A guarantee that different paths through a calculation will always lead to the same final answer, no matter which route you take.
    deterministic simulation(as used in logic and computer science)
    A computer model where the same input always produces the exact same output every time, with no randomness or unpredictability.
    f(n)-time bounds(as used in computer science and complexity theory)
    Mathematical limits on how long a calculation should take, where 'f(n)' represents a formula describing the maximum time needed based on the size of the input.

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    space reuse(as used in computer science and logic)
    Using the same computer memory location multiple times for different purposes during a calculation, rather than keeping separate memory for each use.

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    Truth & Knowledge1 linkedModality & Possibility1 linked

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    NTIME(f(n)) is a subset of SPACE(f(n))

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