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  2. Johnson's SU-distribution - Wikipedia

    en.wikipedia.org/wiki/Johnson's_SU-distribution

    Johnson's -distribution has been used successfully to model asset returns for portfolio management. [3] This comes as a superior alternative to using the Normal distribution to model asset returns.

  3. Asymmetric Laplace distribution - Wikipedia

    en.wikipedia.org/wiki/Asymmetric_Laplace...

    Asymmetric Laplace PDF with m = 0 in red. Note that the κ = 2 and 1/2 curves are mirror images. The κ = 1 curve in blue is the symmetric Laplace distribution .

  4. Optics Software for Layout and Optimization - Wikipedia

    en.wikipedia.org/wiki/Optics_Software_for_Layout...

    OSLO EDU can be downloaded from the Lambda Research Corporation web site. The OSLO Optics Reference, which can be downloaded as a PDF, [ 11 ] provides a self-contained introductory course in optical design.

  5. Finite-difference frequency-domain method - Wikipedia

    en.wikipedia.org/wiki/Finite-difference...

    FDFD simulation of light diffraction from a plasmonic slit. The finite-difference frequency-domain (FDFD) method is a numerical solution method for problems usually in electromagnetism and sometimes in acoustics, based on finite-difference approximations of the derivative operators in the differential equation being solved.

  6. Spectral radius - Wikipedia

    en.wikipedia.org/wiki/Spectral_radius

    The spectral radius of a finite graph is defined to be the spectral radius of its adjacency matrix.. This definition extends to the case of infinite graphs with bounded degrees of vertices (i.e. there exists some real number C such that the degree of every vertex of the graph is smaller than C).

  7. Chebyshev lambda linkage - Wikipedia

    en.wikipedia.org/wiki/Chebyshev_Lambda_Linkage

    The Chebyshev Lambda Linkage is used in vehicle suspension mechanisms, walking robots, and rover wheel mechanisms. In 2004, a study completed as a Master of Science Thesis at Izmir Institute of Technology introduced a new mechanism design by combining two symmetrical Lambda linkages to distribute the force evenly on to ground with providing the ...

  8. Lagrange multiplier - Wikipedia

    en.wikipedia.org/wiki/Lagrange_multiplier

    In mathematical optimization, the method of Lagrange multipliers is a strategy for finding the local maxima and minima of a function subject to equation constraints (i.e., subject to the condition that one or more equations have to be satisfied exactly by the chosen values of the variables). [1]

  9. Fixed-point combinator - Wikipedia

    en.wikipedia.org/wiki/Fixed-point_combinator

    In this case particular lambda terms (which define functions) are considered as values. "Running" (beta reducing) the fixed-point combinator on the encoding gives a lambda term for the result which may then be interpreted as fixed-point value. Alternately, a function may be considered as a lambda term defined purely in lambda calculus.