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stochastic+function

  • 61 model

    1. модель; макет; образец; эталон/ модельный/ моделировать
    2. модель; вариант; тип
    actuator model
    actuator disk model
    advanced development model
    aerodynamic model
    aeroelastic model
    aeroelastically scaled model
    air combat model
    airplane model
    airplane-like model
    approach model
    arrow-wing model
    atmospheric model
    autopilot model
    autorotation model
    autothrottle model
    Baldwin-Lomax model
    basic model
    beam model
    beam/lumped mass model
    biomorphic model
    blowing model
    body alone model
    breadboard model
    cable-mounted model
    cargo load model
    CFD model
    combustion model
    combustion-flow model
    command model
    compensatory model
    composite model
    compressibility modified model
    computer model
    cone-cylinder model
    cone-finned model
    conical-flow model
    consistent model
    constant amplitude fatigue model
    constitutive model
    continuous-mass model
    continuum model
    controller model
    correlation model
    counter-rotation model
    crack model
    crack growth model
    crack growth retardation model
    crossover model
    cumulative damage model
    damage accumulation model
    damper model
    database model
    deterministic model
    development-type model
    differential-game model
    discrete model
    distributed lift model
    disturbance model
    downdraft model
    drop model
    Dryden model
    Dugdale model
    dynamically scaled model
    dynamics model
    energy-conservation model
    engagement model
    engine model
    engineering development model
    error model
    failure model
    fatigue model
    filament model
    fine grid model
    finite element model
    fixed-base model
    fixed-wing model
    flow model
    flutter model
    flutter-suppression model
    four-input/four-output model
    fractional derivative model
    fracture model
    free to roll model
    free-flight model
    free-flying model
    free-spinning model
    freely flying model
    frequency-domain model
    full model
    full-order model
    full-span model
    full-span wing model
    game model
    generic model
    geometric model
    geometrically scaled model
    gravity model
    gravity anomaly model
    gust model
    half-plane model
    half-wing model
    high-fineness-ratio model
    human operator model
    identified model
    illuminated model
    infinite-blade model
    input model
    instrumented model
    inverse model
    isolated wing model
    k-e model
    k-W model
    kinematic model
    kinetic model
    large-scale model
    lead-lag pilot model
    lead-only pilot model
    linear model
    longitudinal model
    lower-order model
    lumped parameter model
    lumped-mass model
    Mach-scaled model
    magnetically suspended model
    mass-and-spring model
    mass-spring model
    Maxwell model
    membrane and rod model
    meteorological model
    micromechanical model
    Miner-Palmgren damage model
    minimum phase model
    missile model
    modal model
    momentum-conserved model
    moving model
    multiaxis model
    multidegree of freedom model
    multiloop model
    multiscale model
    neuromuscular model
    observation model
    over-parameterized model
    parabolized Navier-Stokes model
    pendulation model
    performance model
    perturbation model
    phenomenological model
    physical model
    pilot-aircraft model
    pilot-vehicle model
    piston model
    pitch model
    pitch-plunge model
    pitch-lateral-directional model
    plant model
    plastic model
    pneumodynamic model
    powered model
    powered-lift model
    precision model
    prediction model
    preview model
    production model
    properly parameterized model
    propfan model
    propulsion model
    pure gain pilot model
    quantized model
    quasi-static model
    R&M model
    radar model
    radial spring model
    radio control model
    radio controlled model
    real-world model
    reduced order model
    reference model
    reflectivity model
    reingestion model
    replica model
    replica-type model
    rocket-propelled model
    roll model
    rotor-body model
    rotorcraft model
    scale model
    scaled model
    scattering model
    self-consistent model
    semiempirical model
    semispan model
    semispan wing model
    sensitivity model
    simulation model
    single-axis model
    single-body model
    single-rotation model
    spectrum fatigue model
    spray model
    stall model
    state model
    state space model
    statistical model
    stiffness model
    stochastic model
    stress model
    structural model
    study model
    supersonic cruise model
    task model
    terrain model
    thin-jet model
    three-degree-of-a-freedom model
    three-state model
    thrust model
    tire model
    transfer-function model
    transparent model
    truth model
    tunnel-supported model
    turbulence model
    twin-body model
    two layer turbulence model
    two-control model
    two-degrees-of-freedom model
    two-equation turbulence model
    unquantized model
    untuned model
    usage model
    V/STOL model
    vaporization model
    vehicle stability model
    vertical dynamic model
    vestibular model
    viscous/inviscid model
    visual cueing model
    wake model
    wake/wing model
    water tunnel model
    Wheeler retardation model
    wind-tunnel model
    windshear model
    wing-canard model
    wing-rotor model
    wireframe model
    yaw model

    Авиасловарь > model

  • 62 error variable

    English-Russian dictionary on nuclear energy > error variable

См. также в других словарях:

  • Stochastic optimization — (SO) methods are optimization algorithms which incorporate probabilistic (random) elements, either in the problem data (the objective function, the constraints, etc.), or in the algorithm itself (through random parameter values, random choices,… …   Wikipedia

  • Stochastic approximation — methods are a family of iterative stochastic optimization algorithms that attempt to find zeroes or extrema of functions which cannot be computed directly, but only estimated via noisy observations. The first, and prototypical, algorithms of this …   Wikipedia

  • Stochastic resonance — (also known as SR) is observed when noise added to a system improves the systems performance in some fashion. More technically, SR occurs if the signal to noise ratio of a nonlinear system or device increases for moderate values of noise… …   Wikipedia

  • Stochastic control — is a subfield of control theory which deals with the existence of uncertainty in the data. The designer assumes, in a Bayesian probability driven fashion, that a random noise with known probability distribution affects the state evolution and the …   Wikipedia

  • Stochastic volatility — models are used in the field of quantitative finance to evaluate derivative securities, such as options. The name derives from the models treatment of the underlying security s volatility as a random process, governed by state variables such as… …   Wikipedia

  • Stochastic tunneling — (STUN) is an approach to global optimization based on the Monte Carlo method sampling of the function to be minimized. Idea Monte Carlo method based optimization techniques sample the objective function by randomly hopping from the current… …   Wikipedia

  • Stochastic gradient descent — is a general optimization algorithm, but is typically used to fit the parameters of a machine learning model.In standard (or batch ) gradient descent, the true gradient is used to update the parameters of the model. The true gradient is usually… …   Wikipedia

  • Stochastic programming — is a framework for modeling optimization problems that involve uncertainty. Whereas deterministic optimization problems are formulated with known parameters, real world problems almost invariably include some unknown parameters. When the… …   Wikipedia

  • Stochastic Frontier Analysis — is a method of economic modeling. It has its starting point in the stochastic production frontier models simultaneously introduced by Aigner, Lovell and Schmidt (1977) and Meeusen and Van den Broeck (1977).The production frontier model without… …   Wikipedia

  • Stochastic differential equation — A stochastic differential equation (SDE) is a differential equation in which one or more of the terms is a stochastic process, thus resulting in a solution which is itself a stochastic process. SDE are used to model diverse phenomena such as… …   Wikipedia

  • Stochastic process — A stochastic process, or sometimes random process, is the counterpart to a deterministic process (or deterministic system) in probability theory. Instead of dealing with only one possible reality of how the process might evolve under time (as is… …   Wikipedia

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