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  2. STANAG 4355 - Wikipedia

    en.wikipedia.org/wiki/STANAG_4355

    STANAG 4355 – The Modified Point Mass and Five Degrees of Freedom Trajectory Model, an element of military strategy, is a NATO Standardization Agreement for surface to surface exterior ballistic modelling in support of Artillery, mortar and rocket systems.

  3. Trajectory optimization - Wikipedia

    en.wikipedia.org/wiki/Trajectory_optimization

    Trajectory optimization is the process of designing a trajectory that minimizes (or maximizes) some measure of performance while satisfying a set of constraints. Generally speaking, trajectory optimization is a technique for computing an open-loop solution to an optimal control problem. It is often used for systems where computing the full ...

  4. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    It is somewhat like BUGS, but with a different language for expressing models and a different sampler for sampling from their posteriors; Statistical Lab – R-based and focusing on educational purposes; TOPCAT (software) – interactive graphical analysis and manipulation package for astronomers that understands FITS, VOTable and CDF formats.

  5. Dynamic time warping - Wikipedia

    en.wikipedia.org/wiki/Dynamic_time_warping

    DP matching is a pattern-matching algorithm based on dynamic programming (DP), which uses a time-normalization effect, where the fluctuations in the time axis are modeled using a non-linear time-warping function. Considering any two speech patterns, we can get rid of their timing differences by warping the time axis of one so that the maximal ...

  6. Latent growth modeling - Wikipedia

    en.wikipedia.org/wiki/Latent_growth_modeling

    Latent growth modeling is a statistical technique used in the structural equation modeling (SEM) framework to estimate growth trajectories. It is a longitudinal analysis technique to estimate growth over a period of time.

  7. Metaheuristic - Wikipedia

    en.wikipedia.org/wiki/Metaheuristic

    In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, tune, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem or a machine learning problem, especially with incomplete or imperfect information or limited computation capacity.

  8. Curve fitting - Wikipedia

    en.wikipedia.org/wiki/Curve_fitting

    Fitting of a noisy curve by an asymmetrical peak model, with an iterative process (Gauss–Newton algorithm with variable damping factor α).Curve fitting [1] [2] is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, [3] possibly subject to constraints.

  9. HYSPLIT - Wikipedia

    en.wikipedia.org/wiki/HYSPLIT

    The Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT) [1] is a computer model that is used to compute air parcel trajectories to determine how far and in what direction a parcel of air, and subsequently air pollutants, will travel.