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  2. Sparse identification of non-linear dynamics - Wikipedia

    en.wikipedia.org/wiki/Sparse_identification_of...

    Sparse identification of nonlinear dynamics (SINDy) is a data-driven algorithm for obtaining dynamical systems from data. [1] Given a series of snapshots of a dynamical system and its corresponding time derivatives, SINDy performs a sparsity-promoting regression (such as LASSO and spare Bayesian inference [2]) on a library of nonlinear candidate functions of the snapshots against the ...

  3. Memetic algorithm - Wikipedia

    en.wikipedia.org/wiki/Memetic_algorithm

    The no-free-lunch theorems of optimization and search [5] [6] state that all optimization strategies are equally effective with respect to the set of all optimization problems. Conversely, this means that one can expect the following: The more efficiently an algorithm solves a problem or class of problems, the less general it is and the more ...

  4. Function model - Wikipedia

    en.wikipedia.org/wiki/Function_model

    Example of a function model of the process of "Maintain Reparable Spares" in IDEF0 notation. A function model, similar with the activity model or process model, is a graphical representation of an enterprise's function within a defined scope. The purposes of the function model are to describe the functions and processes, assist with discovery ...

  5. Multiple instruction, multiple data - Wikipedia

    en.wikipedia.org/wiki/Multiple_instruction...

    In shared memory model the processors are all connected to a "globally available" memory, via either software or hardware means. The operating system usually maintains its memory coherence. [4] From a programmer's point of view, this memory model is better understood than the distributed memory model.

  6. Modern Hopfield network - Wikipedia

    en.wikipedia.org/wiki/Modern_Hopfield_Network

    Model A reduces to the models studied in [3] [4] depending on the choice of the activation function, model B reduces to the model studied in, [1] model C reduces to the model of. [ 5 ] General systems of non-linear differential equations can have many complicated behaviors that can depend on the choice of the non-linearities and the initial ...

  7. Memory model (programming) - Wikipedia

    en.wikipedia.org/wiki/Memory_model_(programming)

    The memory model specifies synchronization barriers that are established via special, well-defined synchronization operations such as acquiring a lock by entering a synchronized block or method. The memory model stipulates that changes to the values of shared variables only need to be made visible to other threads when such a synchronization ...

  8. Convolutional code - Wikipedia

    en.wikipedia.org/wiki/Convolutional_code

    The memory is often called the "constraint length" K, where the output is a function of the current input as well as the previous inputs. The depth may also be given as the number of memory elements v in the polynomial or the maximum possible number of states of the encoder (typically: 2 v {\displaystyle 2^{v}} ).

  9. Single instruction, multiple data - Wikipedia

    en.wikipedia.org/wiki/Single_instruction...

    Function multi-versioning (FMV): a subroutine in the program or a library is duplicated and compiled for many instruction set extensions, and the program decides which one to use at run-time. Library multi-versioning (LMV): the entire programming library is duplicated for many instruction set extensions, and the operating system or the program ...