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  2. Hybrid input-output algorithm - Wikipedia

    en.wikipedia.org/wiki/Hybrid_input-output_algorithm

    Download as PDF; Printable version; In other projects ... The hybrid input-output (HIO) algorithm for phase retrieval is a modification ... The HIO algorithm uses ...

  3. Phase retrieval - Wikipedia

    en.wikipedia.org/wiki/Phase_retrieval

    Using phase retrieval algorithms, it is possible to characterize complex optical systems and their aberrations. [6] For example, phase retrieval was used to diagnose and repair the flawed optics of the Hubble Space Telescope. [7] [8] Other applications of phase retrieval include X-ray crystallography [9] and transmission electron microscopy.

  4. Hybrid algorithm - Wikipedia

    en.wikipedia.org/wiki/Hybrid_algorithm

    A hybrid algorithm is an algorithm that combines two or more other algorithms that solve the same problem, either choosing one based on some characteristic of the data, or switching between them over the course of the algorithm. This is generally done to combine desired features of each, so that the overall algorithm is better than the ...

  5. Hybrid algorithm (constraint satisfaction) - Wikipedia

    en.wikipedia.org/wiki/Hybrid_algorithm...

    This hybrid algorithm is based on running search over a set of variables and inference over the other ones. In particular, backtracking or some other form of search is run over a number of variables; whenever a consistent partial assignment over these variables is found, inference is run over the remaining variables to check whether this partial assignment can be extended to form a solution.

  6. Hamiltonian Monte Carlo - Wikipedia

    en.wikipedia.org/wiki/Hamiltonian_Monte_Carlo

    The Hamiltonian Monte Carlo algorithm (originally known as hybrid Monte Carlo) is a Markov chain Monte Carlo method for obtaining a sequence of random samples whose distribution converges to a target probability distribution that is difficult to sample directly.

  7. Variational quantum eigensolver - Wikipedia

    en.wikipedia.org/wiki/Variational_quantum_eigen...

    In this situation, the algorithm is said to have reached a 'barren plateau'. [5] Example of a hardware efficient ansatz. The ansatz can be set to an initial trial function to start the algorithm. For example, for a molecular system, one can use the Hartree–Fock method to provide a starting state that is close to the real ground state.

  8. Difference-map algorithm - Wikipedia

    en.wikipedia.org/wiki/Difference-map_algorithm

    Whereas incomplete algorithms can efficiently verify solutions (once a candidate is found), they cannot prove that a solution does not exist. The difference-map algorithm is a generalization of two iterative methods: Fienup's Hybrid input output (HIO) algorithm for phase retrieval [3] and the Douglas-Rachford algorithm [4] for convex ...

  9. Table of metaheuristics - Wikipedia

    en.wikipedia.org/wiki/Table_of_metaheuristics

    This is a chronological table of metaheuristic algorithms that only contains fundamental computational intelligence algorithms. Hybrid algorithms and multi-objective algorithms are not listed in the table below.