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Projeto Descrição

DAE Tools is cross-platform equation-oriented process modelling, simulation, and optimization software. Various types of processes (lumped or distributed, steady-state or dynamic) can be modelled and optimized. They may range from very simple to those which require complex operating procedures. Equations can be ordinary or discontinuous, where discontinuities are automatically handled by the framework. Model reports containing all information about a model can be exported in XML MathML format, automatically creating high-quality documentation. The simulation results can be visualized, plotted, and/or exported into various formats.

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2011-09-30 06:20
1.1.2

Esta versão tem um novo tipo de portas (portas de eventos) e uma função nova (ON_EVENT) na classe daeModel que especifica como são tratados os eventos de entrada em uma porta de evento específico. Uma nova maneira de lidar com as transições de Estado: a função ON_CONDITION no daeModel que especifica as acções a realizar quando a condição lógica é satisfeita. Não-linear menos quadrada minimização (o wrapper scipy de Minpack). Exemplos de ferramentas de DAE e Scipy interoperabilidade (scipy.optimize). Scripts de shell para compilar módulos de DAE ferramentas e bibliotecas de terceiros. Tutoriais estão disponíveis no C++ (cDAE). Várias pequenas correções de bugs e melhorias.
Tags: event ports, Nonlinear least square minimization
This release has a new type of ports (Event ports) and a new function (ON_EVENT) in the daeModel class that specifies how the incoming events on a specific event port are handled. A new way of handling state transitions: the function ON_CONDITION in daeModel that specifies actions to be undertaken when the logical condition is satisfied. Non-linear least square minimization (the scipy wrapper of Minpack). Examples of DAE Tools and Scipy interoperability (scipy.optimize). Shell scripts to compile third party libraries and DAE Tools modules. Tutorials are available in C++ (cDAE). Several small bugfixes and enhancements.

2011-06-25 16:54
1.1.1

Novos solvers linear foram adicionados: SuperLU_MT Standalone (multithreaded direta escassa), Trilinos AztecOO (iterativo Krylov; Ifpack, ML, ou built-in precondicionadores), e NVidia CUDA (experimental): CÚSPIDE (iterativo Krylov), SuperLU_CUDA (esparsa direta) . Solvers NLP novas foram adicionadas: NLOPT (do Massachusetts Institute of Technology) e um solver IPOPT Standalone. Modelos podem ser exportados para pyDAE e CDAE. Um novo exporta dados repórter resultados no formato de arquivo MAT Matlab.
New linear solvers were added: Standalone SuperLU_MT (multithreaded sparse direct), Trilinos AztecOO (iterative Krylov; Ifpack, ML, or built-in preconditioners), and NVidia CUDA enabled (experimental): CUSP (iterative Krylov), SuperLU_CUDA (sparse direct). New NLP solvers were added: NLOPT (from the Massachusetts Institute of Technology) and a Standalone IPOPT solver. Models can now be exported to pyDAE and cDAE. A new data reporter exports results in the Matlab MAT file format.

2011-04-01 17:56
1.1.0

Otimização de estado estacionário e os processos dinâmicos (IPOPT / Bonmin) foi implementado. Vários recursos novos foram acrescentados. Bugs foram corrigidos.
Tags: Optimization capabilities
Optimization of steady-state and dynamic processes (IPOPT/Bonmin) was implemented. Several new features were added. Bugs were fixed.

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