Search Results for "automatic control"

...It includes routines for generating complex apertures and obscurations and aberrations (Zernike & PSD-defined). It includes a model of a deformable mirror for wavefront control. The routines perform near and far field propagation with automatic selection of propagators. The latest version is v3.3.6 (IDL, Matlab) and v3.3.7 (Python).

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing.

We are proud to introduce version 5 of CAMPARI. We have added a number of new features, most notably a Python interface for interpreting user-supplied code (with the help of ForPy), a novel trajectory storage standard (with the help of libpqxx/PostgreSQL), and a module for performing transition path theory. Naturally, CAMPARI continues to provide the reference implementation of the ABSINTH force field paradigm and implicit solvation model. CAMPARI is a joint package for performing and...

Client/Server based experiment and instrument control system

SCons is a make replacement providing a range of enhanced features such as automated dependency generation and built in compilation cache support. SCons rule sets are Python scripts so as well as the features it provides itself SCons allows you to use the full power of Python to control compilation. This package is an extension (tool) to SCons, which enables "compilation" of gnuplot scripts in SCons-based projects. The intended audience include (but is not limited to) authors/publishers of LaTeX documents, scientific comunity and authors of the projects relying on automatic generation of plots.

Differential-algebraic simulator in python. Process and control systems are modelled w/ bloc diagrams. It allows algebraic loops, has an automatic steady-state computation, detects singular systems, and uses variable time-step transient integration.