Ciw @CiwPython

Ciw is a simulation library for open queueing networks. ciw.readthedocs.io Wales, United Kingdom Joined June 2016

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Ciw @CiwPython

a year ago

Ciw 3.2.0 is released! Many new features including Routing objects for logic-based routing (e.g. join-shortest-queue); system capacities; server schedule offsets. ciw.readthedocs.io/en/latest/Guid…

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Ciw @CiwPython

a year ago

Ciw 3.1.1 is released! Added Mixture distributions, state-dependent baulking, time dependent service disciplines! ciw.readthedocs.io/en/latest/inde…

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Ciw @CiwPython

2 years ago

Ciw 3.1.0 is released! Server schedules now defined using Schedule objects, and Slotted services implemented! ciw.readthedocs.io/en/latest/Guid…

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Ciw 3.0.0 is released! Now has the ability to choose and define from a number of service disciplines including FIFO, LIFO and SIRO, & other big changes including labelling customer classes with any string, some performance improvements, and api changes. ciw.readthedocs.io/en/latest/Guid…

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Ciw @CiwPython

2 years ago

Ciw 2.3.7 is released! New `Possion`, 'Geometric` and `Binomial` distributions added to randomly sample customer batch sizes: ciw.readthedocs.io/en/latest/Refe…

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Ciw @CiwPython

3 years ago

Ciw 2.3.2 is released! A new `PoissonIntervals` distribution allowing time dependent Poisson arrivals that overcomes traditional problems with using time dependent inter-arrival sampling across thresholds: ciw.readthedocs.io/en/latest/Guid…

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Ciw @CiwPython

3 years ago

Ciw 2.3.1 is released! A number of minor bug fixes. ciw.readthedocs.io/en/latest/Refe…

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Vince Knight @drvinceknight

3 years ago

Really excited to get our hard copies of "Applied Mathematics with Open Source Software" by @GeraintPalmer and I. From the blurb on the back: "Each chapter starts with a problem, gives an overview of the relevant theory, shows a solution approach in R and in Python and ... 1/

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Geraint Palmer @GeraintPalmer

3 years ago

Me and @drvinceknight wrote a book! Applied Mathematics with Open-Source Software: Operational Research Problems with Python and R. Out next week! #orms #Python #RProgramming

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Ciw @CiwPython

3 years ago

Ciw 2.3.0 is released! New features include: reneging customers (bit.ly/3ysb2Gj); customers changing class while waiting (bit.ly/3M42Q2L); different options for interrupted services (bit.ly/3vZTNuc)

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Ciw @CiwPython

4 years ago

Ciw 2.2.4 is released! After a nice hack-day with @drvinceknight @Michalis_Pan @GeraintPalmer we have a few internal and documentation improvements, including recording server ID in the DataRecord. ciw.readthedocs.io/en/latest/Refe…

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Ciw @CiwPython

4 years ago

Ciw 2.2.3 is released! Server priorities implemented by @Michalis_Pan! ciw.readthedocs.io/en/latest/Guid…

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Ciw @CiwPython

4 years ago

Ciw 2.2.1 is released! Phase-Type distributions are now available. Shortcut classes for Erlang, HyperExponential, HyperErlang, and Coxian distirbutions implemented too. ciw.readthedocs.io/en/latest/Guid…

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Ciw @CiwPython

4 years ago

Ciw 2.2.0 is released! Processor sharing is now implemented. Ciw can now simulate limited and capacitated PS, plus an example in the docs for a join-shortest-queue PS system too. ciw.readthedocs.io/en/latest/Guid… Ciw now also allows different `node_class`'s for each node in the network.

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Ciw @CiwPython

5 years ago

Ciw 2.1.3 is released! Docs now have a library of custom behaviour examples using inheritance on Ciw's classes. More to come! ciw.readthedocs.io/en/latest/Guid… And some internal minor refactors.

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Ciw @CiwPython

5 years ago

Ciw 2.1.2 is released! Simulation object can take in custom Individual and Servers classes. ciw.readthedocs.io/en/latest/Refe…

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Ciw @CiwPython

5 years ago

We adopted this fantastic documentation structure after watching @evildmp's great talk at @PyConNA: ciw.readthedocs.io/en/latest/

DIVIO @divio

5 years ago

We adopted this fantastic documentation structure after watching @evildmp's great talk at @PyConNA: ciw.readthedocs.io/en/latest/

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Vince Knight @drvinceknight

5 years ago

.@daffidwilde's latest paper preprint is available here: arxiv.org/abs/2008.04295 Combines clustering + discrete event simulation (@CiwPython). The neat thing is recovering queueing system parameters in healthcare (actual length of stay and capacity is not always known). #orms