A header-only template library for mathematical computations in the context of robotics and learning.
- Matrix and Vector data types, optimized for shared-ownership in object-oriented applications by means of "Copy on write" and intrusive-pointering
- Neat functional programming API to generate and use Functor objects
The MathVector and Matrix classes provide standard linear algebra functionality. They are optimized for shared ownership in complex object-oriented application. Therefore they comprise a combination of efficient intrusive-pointer mechanisms and copy-on write.
NemoMath provides a very convenient way to express and utilize mathematical function objects (functors). You can define your own function objects or just use built in operators to express complex mathematical relations. The Collection API allows these functors to smoothly interoperate with the Matrix and Vector data types.
NemoMath provides container data types for more complex structures. Currently it provides an abstraction for time series.
- See also:
Convenient and generic random number generators:
- See also:
Tools for efficient memory management:
Generated on Mon Feb 25 12:49:59 2013 for NemoMath by 1.6.3