241,396 research outputs found
nested PLS
In this note we will introduce a class of search problems, called nested
Polynomial Local Search (nPLS) problems, and show that definable NP search
problems, i.e., -definable functions in are characterized
in terms of the nested PLS
A quantum search for zeros of polynomials
A quantum mechanical search procedure to determine the real zeros of a polynomial is introduced. It is based on the construction of a spin observable whose eigenvalues coincide with the zeros of the polynomial. Subsequent quantum mechanical measurements of the observable output directly the numerical values of the zeros. Performing the measurements is the only computational resource involved
An Improved Separation of Regular Resolution from Pool Resolution and Clause Learning
We prove that the graph tautology principles of Alekhnovich, Johannsen,
Pitassi and Urquhart have polynomial size pool resolution refutations that use
only input lemmas as learned clauses and without degenerate resolution
inferences. We also prove that these graph tautology principles can be refuted
by polynomial size DPLL proofs with clause learning, even when restricted to
greedy, unit-propagating DPLL search
Polynomial Response Surface Approximations for the Multidisciplinary Design Optimization of a High Speed Civil Transport
Surrogate functions have become an important tool in multidisciplinary design optimization to deal with noisy functions, high computational cost, and the practical difficulty of integrating legacy disciplinary computer codes. A combination of mathematical, statistical, and engineering techniques, well known in other contexts, have made polynomial surrogate functions viable for MDO. Despite the obvious limitations imposed by sparse high fidelity data in high dimensions and the locality of low order polynomial approximations, the success of the panoply of techniques based on polynomial response surface approximations for MDO shows that the implementation details are more important than the underlying approximation method (polynomial, spline, DACE, kernel regression, etc.). This paper surveys some of the ancillary techniques—statistics, global search, parallel computing, variable complexity modeling—that augment the construction and use of polynomial surrogates
Skew-cyclic codes
We generalize the notion of cyclic codes by using generator polynomials in
(non commutative) skew polynomial rings. Since skew polynomial rings are left
and right euclidean, the obtained codes share most properties of cyclic codes.
Since there are much more skew-cyclic codes, this new class of codes allows to
systematically search for codes with good properties. We give many examples of
codes which improve the previously best known linear codes
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