GNU Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with Matlab.
Scicos is a graphical dynamical system modeler and simulator. With Scicos you can create block diagrams to model and simulate the dynamics of hybrid dynamical systems and compile your models into executable code. Scicos is used for signal processing, systems control, queuing systems, and to study physical and biological systems. New extensions allow generation of component based modeling of electrical and hydraulic circuits using the Modelica language.
A system of symmetrically coupled identical oscillators with phase lag is presented, which is capable of generating a large repertoire of transient (metastable) “chimera” states in which synchronization and desynchronization coexist. The oscillators are organized into communities, such that each oscillator is connected to all its peers in the same community and to a subset of the oscillators in other communities. Measures are introduced for quantifying metastability, the prevalence o...
Fræser is a framework for estimating the parameters of static and dynamic errors-in-variables systems with the opportunity to compare various errors-in-variables parameter estimation algorithms via simulations. It features a graphical user interface and several examples for simultaneously estimating model and noise parameters.
The framework incorporates the following linear and nonlinear estimation methods for static and dynamic systems:
* model parameter estimation for static systems
o Koopmans method
* linear model and noise parameter estimation for dynamic systems
o (extended) instrumental variables method (XIV)
o bias-compensating least-squares method (BCLS)
o Frisch scheme (FS)
o generalized Koopmans-Levin method (GKL)
* nonlinear model parameter estimation for static systems
o nonlinear Koopmans method (NK)
o approximated maximum likelihood method (AML)
* nonlinear model and noise parameter estimation for dynamic systems
o bias-compensated least squares method (BCLS)
o nonlinear Koopmans-Levin method (NKL)
o nonlinear extennonlinear extension to generalized Koopmans-Levin method (NGKL)
Last week I couldn't use my regular dev. machine (broken graphics card), so all my WordPress-related plans were on hold. To pass the time, I built a simple
G. Amdahl. Proceedings of the April 18-20, 1967, Spring Joint Computer Conference, Seite 483–485. New York, NY, USA, Association for Computing Machinery, (1967)