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  2. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    Written in C++ and published under an MIT license, HiGHS provides programming interfaces to C, Python, Julia, Rust, R, JavaScript, Fortran, and C#. It has no external dependencies. A convenient thin wrapper to Python is available via the highspy PyPI package. Although generally single-threaded, some solver components can utilize multi-core ...

  3. Spectral concentration problem - Wikipedia

    en.wikipedia.org/wiki/Spectral_concentration_problem

    The three leading Slepian sequences for T=1000 and 2WT=6. Note that each higher order sequence has an extra zero crossing. The spectral concentration problem in Fourier analysis refers to finding a time sequence of a given length whose discrete Fourier transform is maximally localized on a given frequency interval, as measured by the spectral concentration.

  4. SU2 code - Wikipedia

    en.wikipedia.org/wiki/SU2_code

    Fix update of dual-time solver for species transport. by @bigfooted in #2260; Fix bug in inlet profile writer. by @bigfooted in #2267; Update to start volume averaging after StartWindowIteration. by @ShiheJia in #2252; Fix SU2_DOT without DV vars by @pcarruscag in #2270; Fix CHT boundary problem for flamelet computations by @Cristopher-Morales ...

  5. A discipline or concentration problem? - AOL

    www.aol.com/discipline-concentration-problem...

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  6. Calibration curve - Wikipedia

    en.wikipedia.org/wiki/Calibration_curve

    A calibration curve plot showing limit of detection (LOD), limit of quantification (LOQ), dynamic range, and limit of linearity (LOL).. In analytical chemistry, a calibration curve, also known as a standard curve, is a general method for determining the concentration of a substance in an unknown sample by comparing the unknown to a set of standard samples of known concentration. [1]

  7. Min-conflicts algorithm - Wikipedia

    en.wikipedia.org/wiki/Min-conflicts_algorithm

    The randomness helps min-conflicts avoid local minima created by the greedy algorithm's initial assignment. In fact, Constraint Satisfaction Problems that respond best to a min-conflicts solution do well where a greedy algorithm almost solves the problem. Map coloring problems do poorly with Greedy Algorithm as well as Min-Conflicts. Sub areas ...

  8. UNIQUAC - Wikipedia

    en.wikipedia.org/wiki/UNIQUAC

    In this approach the local concentration around one central molecule is assumed to be independent from the local composition around another type of molecule. The UNIQUAC model can be considered a second generation activity coefficient because its expression for the excess Gibbs energy consists of an entropy term in addition to an enthalpy term.

  9. Metric k-center - Wikipedia

    en.wikipedia.org/wiki/Metric_k-center

    In graph theory, the metric k-center problem or vertex k-center problem is a classical combinatorial optimization problem studied in theoretical computer science that is NP-hard. Given n cities with specified distances, one wants to build k warehouses in different cities and minimize the maximum distance of a city to a warehouse.