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  2. Nitromethane - Wikipedia

    en.wikipedia.org/wiki/Nitromethane

    Nitromethane is used as a fuel in motor racing, particularly drag racing, as well as for radio-controlled model power boats, cars, planes and helicopters. In this context, nitromethane is commonly referred to as "nitro fuel" or simply "nitro", and is the principal ingredient for fuel used in the "Top Fuel" category of drag racing. [14]

  3. Stochastic differential equation - Wikipedia

    en.wikipedia.org/wiki/Stochastic_differential...

    A stochastic differential equation (SDE) is a differential equation in which one or more of the terms is a stochastic process, [1] resulting in a solution which is also a stochastic process. SDEs have many applications throughout pure mathematics and are used to model various behaviours of stochastic models such as stock prices , [ 2 ] random ...

  4. Nitromethane (data page) - Wikipedia

    en.wikipedia.org/wiki/Nitromethane_(data_page)

    log 10 of Nitromethane vapor pressure. Uses formula: log e ⁡ P m m H g = {\displaystyle \scriptstyle \log _{e}P_{mmHg}=} log e ⁡ ( 760 101.325 ) − 10.20778 log e ⁡ ( T + 273.15 ) − 7217.173 T + 273.15 + 83.18124 + 8.369119 × 10 − 06 ( T + 273.15 ) 2 {\displaystyle \scriptstyle \log _{e}({\frac {760}{101.325}})-10.20778\log _{e}(T+ ...

  5. Stochastic quantum mechanics - Wikipedia

    en.wikipedia.org/wiki/Stochastic_quantum_mechanics

    The framework provides a derivation of the diffusion equations associated to these stochastic particles. It is best known for its derivation of the Schrödinger equation as the Kolmogorov equation for a certain type of conservative (or unitary) diffusion, [1] [2] and for this purpose it is also referred to as stochastic quantum mechanics.

  6. Milstein method - Wikipedia

    en.wikipedia.org/wiki/Milstein_method

    Consider the autonomous Itō stochastic differential equation: = + with initial condition =, where denotes the Wiener process, and suppose that we wish to solve this SDE on some interval of time [,]. Then the Milstein approximation to the true solution X {\displaystyle X} is the Markov chain Y {\displaystyle Y} defined as follows:

  7. System size expansion - Wikipedia

    en.wikipedia.org/wiki/System_Size_Expansion

    The system size expansion, also known as van Kampen's expansion or the Ω-expansion, is a technique pioneered by Nico van Kampen [1] used in the analysis of stochastic processes. Specifically, it allows one to find an approximation to the solution of a master equation with nonlinear transition rates.

  8. Kent State with loss to Buffalo could complete the worst ...

    www.aol.com/kent-state-loss-buffalo-could...

    Editor's note: Kent State lost to Buffalo 43-7 on Tuesday night to finish the season 0-12. Running back Jaylen Thomas’ 23-yard touchdown run with 2:28 left in the third quarter put the finishing ...

  9. Itô diffusion - Wikipedia

    en.wikipedia.org/wiki/Itô_diffusion

    This Wiener process (Brownian motion) in three-dimensional space (one sample path shown) is an example of an Itô diffusion.. A (time-homogeneous) Itô diffusion in n-dimensional Euclidean space is a process X : [0, +∞) × Ω → R n defined on a probability space (Ω, Σ, P) and satisfying a stochastic differential equation of the form