Changes between Version 6 and Version 7 of SoC2013

Timestamp:

Mar 1, 2013, 5:32:53 PM (10 years ago)

Author:

mariomulansky

Comment:

--

SoC2013

@@ -97 +97 @@
 and John Maddock and Christopher Kormanyos for mathematical and algorithmic expertise. 
 
+=== Boost.odeint ===
+
+Boost.odeint [http://www.odeint.com] is a library devoted to finding numerical solutions of ordinary differential equations (ODEs).
+It is developed in a generic way using Template Metaprogramming which leads to extraordinary high flexibility at top performance.
+It is widely used in academic and industrial projects.
+Boost.odeint has been a Google Summer of Code project in 2011 [http://google-melange.appspot.com/gsoc/project/google/gsoc2011/mulansky/14001] and we would like again to see students involved in the development of this numerical library.
+Therefore, we offer the two following projects:
+
+==== Implicit Routines ====
+
+The current focus of odeint is on _explicit_ routines, namely the Runge-Kutta schemes or the multi-step methods.
+However, we would like to expand odeint by adding implicit routines in the same flexible manner.
+At the moment, odeint provides an implicit Euler and Rosenbrock algorithm, but the implementation is restricted to Boost.uBlas.
+As one of the main objectives of odeint is to provide highly flexible algorithms, we want to change this implementation to have a greater flexibility and interchangeability similar to that of the explicit routines.
+This project would not only require pure coding, but first also a considerable amount of design work.
+ * Develop a design on how the requirements on implicit routines can be modularized
+ * Implement a prototype showing the usability of the design
+ * Change the existing routines to the new exchangeable design
+ * Implement other backends (MTL, eigen) to demonstrate the flexibility
+ * Provide examples and a documentation
+ * (Add more implicit routines, if time permits)
+
+This project does not only require profound knowledge on C++ and generic programming, but we would also like to see some experience on numerical algorithms and solving ODEs, if possible.
+
+The project will be mentored by Karsten Ahnert and Mario Mulansky.