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  2. Rayleigh dissipation function - Wikipedia

    en.wikipedia.org/wiki/Rayleigh_dissipation_function

    This function represents half of the rate of energy dissipation of the system through friction. The force of friction is negative the velocity gradient of the dissipation function, F → f = − ∇ v R ( v ) {\displaystyle {\vec {F}}_{f}=-\nabla _{v}R(v)} , analogous to a force being equal to the negative position gradient of a potential.

  3. Ilya Prigogine - Wikipedia

    en.wikipedia.org/wiki/Ilya_Prigogine

    [20] [21] [22] In his 1955 text, Prigogine drew connections between dissipative structures and the Rayleigh-Bénard instability and the Turing mechanism. [23] And his 1977 work on self-reorganization was recognized as relevant for psychology. [24]

  4. Lagrangian mechanics - Wikipedia

    en.wikipedia.org/wiki/Lagrangian_mechanics

    The central quantity of Lagrangian mechanics is the Lagrangian, a function which summarizes the dynamics of the entire system. Overall, the Lagrangian has units of energy, but no single expression for all physical systems. Any function which generates the correct equations of motion, in agreement with physical laws, can be taken as a Lagrangian.

  5. Extremal principles in non-equilibrium thermodynamics

    en.wikipedia.org/wiki/Extremal_principles_in_non...

    Rayleigh (1873) [38] (and in Sections 81 and 345 of Rayleigh (1896/1926) [28]) introduced the dissipation function for the description of dissipative processes involving viscosity. More general versions of this function have been used by many subsequent investigators of the nature of dissipative processes and dynamical structures.

  6. Dissipation function - Wikipedia

    en.wikipedia.org/wiki/Dissipation_function

    Dissipation function may refer to Rayleigh's dissipation function; Dissipation function under the fluctuation theorem This page was last edited on 28 ...

  7. Rayleigh distribution - Wikipedia

    en.wikipedia.org/wiki/Rayleigh_distribution

    In probability theory and statistics, the Rayleigh distribution is a continuous probability distribution for nonnegative-valued random variables. Up to rescaling, it coincides with the chi distribution with two degrees of freedom. The distribution is named after Lord Rayleigh (/ ˈ r eɪ l i /). [1]

  8. Rayleigh–Ritz method - Wikipedia

    en.wikipedia.org/wiki/Rayleigh–Ritz_method

    In numerical linear algebra, the Rayleigh–Ritz method is commonly [12] applied to approximate an eigenvalue problem = for the matrix of size using a projected matrix of a smaller size <, generated from a given matrix with orthonormal columns. The matrix version of the algorithm is the most simple:

  9. Rayleigh–Plesset equation - Wikipedia

    en.wikipedia.org/wiki/Rayleigh–Plesset_equation

    The Rayleigh–Plesset equation is often applied to the study of cavitation bubbles, shown here forming behind a propeller.. In fluid mechanics, the Rayleigh–Plesset equation or Besant–Rayleigh–Plesset equation is a nonlinear ordinary differential equation which governs the dynamics of a spherical bubble in an infinite body of incompressible fluid.