enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Transfer function matrix - Wikipedia

    en.wikipedia.org/wiki/Transfer_function_matrix

    This may be written more succinctly in matrix operator notation as, = where Y is a column vector of the outputs, G is a matrix of the transfer functions, and U is a column vector of the inputs. In many cases, the system under consideration is a linear time-invariant (LTI) system.

  3. Electronic circuit simulation - Wikipedia

    en.wikipedia.org/wiki/Electronic_circuit_simulation

    For example, elements can use real or integer values to simulate DSP functions or sampled data filters. Because the event-driven algorithm is faster than the standard SPICE matrix solution, simulation time is greatly reduced for circuits that use event-driven models in place of analog models. [5]

  4. Simulink - Wikipedia

    en.wikipedia.org/wiki/Simulink

    Simulink is a MATLAB-based graphical programming environment for modeling, simulating and analyzing multidomain dynamical systems. Its primary interface is a graphical block diagramming tool and a customizable set of block libraries .

  5. Transmission-line matrix method - Wikipedia

    en.wikipedia.org/wiki/Transmission-line_matrix...

    The transmission-line matrix (TLM) method is a space and time discretising method for computation of electromagnetic fields. It is based on the analogy between the electromagnetic field and a mesh of transmission lines .

  6. Stateflow - Wikipedia

    en.wikipedia.org/wiki/Stateflow

    Stateflow (developed by MathWorks) is a control logic tool used to model reactive systems via state machines and flow charts within a Simulink model. Stateflow uses a variant of the finite-state machine notation established by David Harel, enabling the representation of hierarchy, parallelism and history within a state chart.

  7. Cholesky decomposition - Wikipedia

    en.wikipedia.org/wiki/Cholesky_decomposition

    In linear algebra, the Cholesky decomposition or Cholesky factorization (pronounced / ʃ ə ˈ l ɛ s k i / shə-LES-kee) is a decomposition of a Hermitian, positive-definite matrix into the product of a lower triangular matrix and its conjugate transpose, which is useful for efficient numerical solutions, e.g., Monte Carlo simulations.

  8. Dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Dynamic_programming

    Let us assume that their dimensions are m×n, n×p, and p×s, respectively. Matrix A×B×C will be of size m×s and can be calculated in two ways shown below: Ax(B×C) This order of matrix multiplication will require nps + mns scalar multiplications. (A×B)×C This order of matrix multiplication will require mnp + mps scalar calculations.

  9. Flux limiter - Wikipedia

    en.wikipedia.org/wiki/Flux_limiter

    The admissible limiter region for second-order TVD schemes is shown in the Sweby Diagram opposite, [9] and plots showing limiter functions overlaid onto the TVD region are shown below. In this image, plots for the Osher and Sweby limiters have been generated using β = 1.5 {\displaystyle \beta =1.5} .