Complexity classes

L (complexity)

In computational complexity theory, L (also known as LSPACE or DLOGSPACE) is the complexity class containing decision problems that can be solved by a deterministic Turing machine using a logarithmic amount of writable memory space. Formally, the Turing machine has two tapes, one of which encodes the input and can only be read, whereas the other tape has logarithmic size but can be read as well as written. Logarithmic space is sufficient to hold a constant number of pointers into the input and a logarithmic number of boolean flags, and many basic logspace algorithms use the memory in this way. (Wikipedia).

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Big O Notation: A Few Examples

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From playlist Mathematics 1A (Calculus)

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From playlist Algorithms Explained

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Markus Banagl : The L-Homology fundamental class for singular spaces and the stratified Novikov

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From playlist Topology

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From playlist New perspectives on K- and L-theory

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Related pages

DNA | NL (complexity) | Pointer (computer programming) | Decision problem | Logarithm | Complete (complexity) | Reachability | Relational algebra | Transitive closure | Low (complexity) | Function problem | Clique (graph theory) | Graph theory | NC (complexity) | Nondeterministic Turing machine | List of unsolved problems in computer science | NP (complexity) | L/poly | Log-space reduction | SL (complexity) | First-order reduction | FL (complexity) | Computational complexity theory | P (complexity) | Directed graph | First-order logic | Complexity class