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  2. L4 microkernel family - Wikipedia

    en.wikipedia.org/wiki/L4_microkernel_family

    Specifying the general idea of a microkernel, Liedtke states: . A concept is tolerated inside the microkernel only if moving it outside the kernel, i.e., permitting competing implementations, would prevent the implementation of the system's required functionality.

  3. Template:L4 - Wikipedia

    en.wikipedia.org/wiki/Template:L4

    Place {} where normally would be written L 4. Optionally takes an argument nolink=yes to suppress the hyperlink, for use in headings and to avoid overlinking. Optionally takes an argument pt=yes to append the word "point" or "points". Optionally takes up to four unnamed parameters to allow the listing of a set of Lagrangian points

  4. Steffensen's method - Wikipedia

    en.wikipedia.org/wiki/Steffensen's_method

    The quotient form is shown here for orientation only; it is not required per se. Note also that division within the Banach space is not necessary for the elaborated Steffensen's method to be viable; the only requirement is that the operator G {\displaystyle \ G\ } satisfy the equation marked with the coronis , ( ⸎ ) .

  5. L4Linux - Wikipedia

    en.wikipedia.org/wiki/L4Linux

    L 4 Linux is a variant of the Linux kernel for operating systems, that is altered to the extent that it can run paravirtualized on an L4 microkernel, where the L4Linux kernel runs a service. L4Linux is not a fork but a variant and is binary compatible with the Linux x86 kernel, thus it can replace the Linux kernel of any Linux distribution .

  6. Loop dependence analysis - Wikipedia

    en.wikipedia.org/wiki/Loop_dependence_analysis

    In this example, a true dependence exists between statement S1 in the jth iteration and S1 in the j+1th iteration. There is a true dependence because a value will be written to a[j] in one iteration and then a read occurs by a[j-1] in the next iteration. This true dependence can be represented by S1[j] →T S1[j+1].

  7. Levenberg–Marquardt algorithm - Wikipedia

    en.wikipedia.org/wiki/Levenberg–Marquardt...

    The (non-negative) damping factor ⁠ ⁠ is adjusted at each iteration. If reduction of ⁠ S {\displaystyle S} ⁠ is rapid, a smaller value can be used, bringing the algorithm closer to the Gauss–Newton algorithm , whereas if an iteration gives insufficient reduction in the residual, ⁠ λ {\displaystyle \lambda } ⁠ can be increased ...

  8. Alternating-direction implicit method - Wikipedia

    en.wikipedia.org/wiki/Alternating-direction...

    In numerical linear algebra, the alternating-direction implicit (ADI) method is an iterative method used to solve Sylvester matrix equations.It is a popular method for solving the large matrix equations that arise in systems theory and control, [1] and can be formulated to construct solutions in a memory-efficient, factored form.

  9. UniPro protocol stack - Wikipedia

    en.wikipedia.org/wiki/UniPro_protocol_stack

    An L4 segment, is essentially the payload of an L3 packet. The L4 header, in its short form, consists of just a single byte. The main field in the short L4 header is a 5-bit "CPort" identifier which can be seen as a sub-address within a UniPro device and is somewhat analogous to the port numbers used in TCP or UDP. Thus every segment (with a ...

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