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    Edmonds demonstrated that a problem previously thought to... — Carmelics
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    Supports→Polynomial time decidability should be regarded as a positive criterion for feasible decidability (a problem is feasibly decidable just in case it is in the class P).

    Edmonds demonstrated that a problem previously thought to require brute force search (a generalization of Perfect Matching) is in fact solvable in polynomial time, illustrating that polynomial time can capture genuinely tractable problems.

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    Key Terms

    Brute force search(Contrasted with efficient algorithms; yields at best exponential time for SAT and TSP.)
    The procedure of deciding x ∈ X by exhaustively enumerating all certificates y_0, y_1, … ∈ S_x and checking whether R_X(x, y) holds at each step.
    Edmonds
    # Edmonds "Edmonds" most commonly refers to **Jack Edmonds**, a pioneering computer scientist and mathematician who developed groundbreaking algorithms for solving optimization problems efficiently. His work in the 1960s-70s, particularly on matching problems and the concept of "polynomial time" algorithms, fundamentally shaped how we think about computational efficiency and what computers can realistically solve. He's considered one of the founders of theoretical computer science because his ideas established practical standards for determining whether a problem is solvable in reasonable time.

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    Related propositions within the same area of thought.
    Perfect Matching(as a computational problem)
    A mathematical problem where you try to pair up items (like matching people to jobs) in the best possible way, so that everyone gets exactly one partner and no one is left out.
    Tractable problems(as a characteristic of computational difficulty)
    Problems that are practically solvable by computers in a reasonable amount of time, rather than problems that would take thousands of years to solve.
    polynomial time(Used to characterize feasible computation)
    Computational time complexity expressed as t(x)=x^c, where c is a constant and x is the length of the input

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    Proof of definition segments1 linkedModality & Possibility1 linked

    Related

    Cobham proposed that the model-independence of polynomial time (supported by the...Polynomial time decidability should be regarded as a positive criterion for feas...Possession of a polynomial time algorithm is sufficient grounds for regarding a ...

    Similar

    If P = NP, then every problem in NP is solvable in polynomial time.86%If P = NP, then every problem in NP is solvable in polynomial time86%No polynomial time algorithm has been found for any NP-complete proble...85%The existence of a polynomial time algorithm for any NP-complete probl...85%

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    SEP: computational-complexity
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    In particular, a RAM machine \(A\) consists of a finite sequence of instructions (or program) \(\langle \pi_1,\ldots,\pi_n \rangle\) expressing how numerical operations (typically addition and subtraction) are to be applied to a sequence of registers \(r_1,r_2, \dots\) in which values may be stored and retrieved directly by their index. Showing that one of these models \(\mathfrak{M}_1\) determines the same class of functions as some reference model \(\mathfrak{M}_2\) (such as \(\mathfrak{T}\))

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