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More\ninformation about `SUNDIALS` can be found [here](https://computing.llnl.gov/projects/sundials).\n`SUNDIALS` is one of the most popular and well-respected ODE solving libraries available and \n`sundialr` provides a way to interface some of the `SUNDIALS` solvers in `R`. \n\nCurrently `sundialr` provides an interface to the `serial` versions of `cvode` (for solving ODES), `cvodes` (for solving ODE with sensitivity equations) and `ida` (for solving differential-algebraic equations) using the Linear Solver (dense version).\n\nA convenience function `cvsolve` is provided which allows solving a system of equations with\nmultiple discontinuities in solution. An application of such a system of equations would be \nto simulate the effect of multiple bolus doses of a drug in clinical pharmacokinetics. See the \nvignette for more details.\n\n## What's new?\n\n## Comments for version 0.1.6\n+ Updated the upstream `SUNDIALS` to version 7.2.0\n+ Complete overall of the build system to use `cmake` based installation\n\n### Comments for version 0.1.5\n+ Updated the upstream `SUNDIALS` to version 7.1.1. \n+ Fixed the `pkgdown` website\n+ There was a bug in assigning absolute tolerance in equations. Fixed now.\n\n## Comments for version 0.1.4.1.2\n* Fixed the issue with forwarded email address.\n\n### Release 0.1.4.1\n+ Fixed the linking bug due to multiple defined symbols. No other change.\n\n### Release 0.1.4\n+ This version has version 5.2.0 of `SUNDIALS` (released in March 2020) at the back end.\n+ A new function `cvsolve` is added. It allows solving ODEs with multiple discontinuities in the solution. See a complete use case in the vignette.\n+ A `pkgdown` create site of the package is added.\n+ A hex sticker for the package is released!\n\n### Release 0.1.3 \n+ This version has version 4.0.1 of `SUNDIALS` (released in Dec 2018) at the back end.\n+ An interface to `CVODES` is added. It calculates forward sensitivities w.r.t all parameters of the ODE system.\n+ Parameters can now be defined as an input parameter to the ODE function. This will allow performing parameter optimization via numerical optimizers.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsn248%2Fsundialr","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsn248%2Fsundialr","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsn248%2Fsundialr/lists"}