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  2. File:Energy flow in cars (recuperation in green).pdf - Wikipedia

    en.wikipedia.org/wiki/File:Energy_flow_in_cars...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  3. Martingale (probability theory) - Wikipedia

    en.wikipedia.org/wiki/Martingale_(probability...

    In probability theory, a martingale is a sequence of random variables (i.e., a stochastic process) for which, at a particular time, the conditional expectation of the next value in the sequence is equal to the present value, regardless of all prior values.

  4. Mean-field particle methods - Wikipedia

    en.wikipedia.org/wiki/Mean-field_particle_methods

    The solution of the imaginary time Schrödinger equation (a.k.a. the heat equation) is given by a Feynman-Kac distribution associated with a free evolution Markov process (often represented by Brownian motions) in the set of electronic or macromolecular configurations and some potential energy function.

  5. Why EVs and gas-powered cars sharing the same platform ... - AOL

    www.aol.com/finance/why-evs-gas-powered-cars...

    Despite this new class of EVs being on a separate platform, BMW said technology products like infotainment and electronics will still be shared across EV and gas-powered vehicles, as it keeps ...

  6. Markov model - Wikipedia

    en.wikipedia.org/wiki/Markov_model

    Markov-chains have been used as a forecasting methods for several topics, for example price trends, [8] wind power [9] and solar irradiance. [10] The Markov-chain forecasting models utilize a variety of different settings, from discretizing the time-series [ 9 ] to hidden Markov-models combined with wavelets [ 8 ] and the Markov-chain mixture ...

  7. Measure-preserving dynamical system - Wikipedia

    en.wikipedia.org/wiki/Measure-preserving...

    The definition of a measure-preserving dynamical system can be generalized to the case in which T is not a single transformation that is iterated to give the dynamics of the system, but instead is a monoid (or even a group, in which case we have the action of a group upon the given probability space) of transformations T s : X → X ...

  8. Markov property - Wikipedia

    en.wikipedia.org/wiki/Markov_property

    The term Markov assumption is used to describe a model where the Markov property is assumed to hold, such as a hidden Markov model. A Markov random field extends this property to two or more dimensions or to random variables defined for an interconnected network of items. [1] An example of a model for such a field is the Ising model.

  9. Risk-neutral measure - Wikipedia

    en.wikipedia.org/wiki/Risk-neutral_measure

    Typically this transformation is the utility function of the payoff. The risk-neutral measure would be the measure corresponding to an expectation of the payoff with a linear utility. An implied probability measure, that is one implied from the current observable/posted/traded prices of the relevant instruments.

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