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  2. Gouy–Stodola theorem - Wikipedia

    en.wikipedia.org/wiki/Gouy–Stodola_theorem

    The Gouy-Stodola theorem is often applied to refrigeration cycles. These are thermodynamic cycles or mechanical systems where external work can be used to move heat from low temperature sources to high temperature sinks, or vice versa. Specifically, the theorem is useful in analyzing vapor compression and vapor absorption refrigeration cycles.

  3. Residue theorem - Wikipedia

    en.wikipedia.org/wiki/Residue_theorem

    In complex analysis, the residue theorem, sometimes called Cauchy's residue theorem, is a powerful tool to evaluate line integrals of analytic functions over closed curves; it can often be used to compute real integrals and infinite series as well. It generalizes the Cauchy integral theorem and Cauchy's integral formula.

  4. Lebesgue–Stieltjes integration - Wikipedia

    en.wikipedia.org/wiki/Lebesgue–Stieltjes...

    This notion is quite useful for various applications: for example, in muddy terrain the speed in which a person can move may depend on how deep the mud is. If ρ ( z ) denotes the inverse of the walking speed at or near z , then the ρ -length of γ is the time it would take to traverse γ .

  5. Macaulay's method - Wikipedia

    en.wikipedia.org/wiki/Macaulay's_method

    Macaulay's method (the double integration method) is a technique used in structural analysis to determine the deflection of Euler-Bernoulli beams.Use of Macaulay's technique is very convenient for cases of discontinuous and/or discrete loading.

  6. Castigliano's method - Wikipedia

    en.wikipedia.org/wiki/Castigliano's_method

    Castigliano's method for calculating displacements is an application of his second theorem, which states: If the strain energy of a linearly elastic structure can be expressed as a function of generalised force Q i then the partial derivative of the strain energy with respect to generalised force gives the generalised displacement q i in the direction of Q i.

  7. Conditional expectation - Wikipedia

    en.wikipedia.org/wiki/Conditional_expectation

    Examples of this are decision tree regression when g is required to be a simple function, linear regression when g is required to be affine, etc. These generalizations of conditional expectation come at the cost of many of its properties no longer holding.

  8. Lagrange polynomial - Wikipedia

    en.wikipedia.org/wiki/Lagrange_polynomial

    Example of interpolation divergence for a set of Lagrange polynomials. The Lagrange form of the interpolation polynomial shows the linear character of polynomial interpolation and the uniqueness of the interpolation polynomial. Therefore, it is preferred in proofs and theoretical arguments.

  9. Stars and bars (combinatorics) - Wikipedia

    en.wikipedia.org/wiki/Stars_and_bars_(combinatorics)

    If, for example, there are two balls and three bins, then the number of ways of placing the balls is (+) = =. The table shows the six possible ways of distributing the two balls, the strings of stars and bars that represent them (with stars indicating balls and bars separating bins from one another), and the subsets that correspond to the strings.