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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. Bidirectional associative memory - Wikipedia

    en.wikipedia.org/wiki/Bidirectional_associative...

    The memory or storage capacity of BAM may be given as (,), where "" is the number of units in the X layer and "" is the number of units in the Y layer. [3]The internal matrix has n x p independent degrees of freedom, where n is the dimension of the first vector (6 in this example) and p is the dimension of the second vector (4).

  4. Modern Hopfield network - Wikipedia

    en.wikipedia.org/wiki/Modern_Hopfield_Network

    The energy in the continuous case has one term which is quadratic in the (as in the binary model), and a second term which depends on the gain function (neuron's activation function). While having many desirable properties of associative memory, both of these classical systems suffer from a small memory storage capacity, which scales linearly ...

  5. Hopfield network - Wikipedia

    en.wikipedia.org/wiki/Hopfield_network

    A Hopfield network (or associative memory) is a form of recurrent neural network, or a spin glass system, that can serve as a content-addressable memory.The Hopfield network, named for John Hopfield, consists of a single layer of neurons, where each neuron is connected to every other neuron except itself.

  6. 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.

  7. Memory-bound function - Wikipedia

    en.wikipedia.org/wiki/Memory-bound_function

    The new egalitarian approach is to rely on memory-bound functions. As stated before, a memory-bound function is a function whose computation time is dominated by the time spent accessing memory. A memory-bound function accesses locations in a large region of memory in an unpredictable way, in such a way that using caches are not effective.

  8. Tracing garbage collection - Wikipedia

    en.wikipedia.org/wiki/Tracing_garbage_collection

    Since large contiguous regions of memory are usually made available by a moving GC, new objects can be allocated by simply incrementing a 'free memory' pointer. A non-moving strategy may, after some time, lead to a heavily fragmented heap, requiring expensive consultation of "free lists" of small available blocks of memory in order to allocate ...

  9. 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 ...