Llama is a library, written in C, which provides functionality useful for solving linear systems. Namely, Vector and Matrix types and their common operations. The Library also provides functionality useful for 3D graphics applications such as creating a perspective matrix.
All vector features support n-dimensional vectors with one obvious exception, the cross product is only defined for 3-dimensional vectors!
-Addition
-Subtraction
-Multiplication (component-wise)
-Division (component-wise)
-Scalar Addition
-Scalar Subtraction
-Scalar Multiplication
-Scalar Division
-Magnitude
-Normalisation
-Dot Product
-Angle
-Cross Product
-Addition
-Subtraction
-Multiplication
-Transpose
-Submatrix
-Determinant
-Identity
-Minor matrix
-Cofactor matrix
-Adjugate
-Inverse
-Multiplication (element-wise)
-Division (element-wise)
-Rotation Matrix (3x3)
-To build the library
-Make
-GNU gcc compiler
-Unix style `find` command-line utility
-C standard library
-To Link against the library
-C Math Library (`-lm` flag)
Clone the repo.
git clone https://www.github.com/harry-martin/llama
Go to root directory of the cloned repo
cd llama
Build static and shared library.
make
To build example
make example
NOTE: the example currently links against the shared library. To run the example, you may have to move the shared library to /usr/lib/ or set the environment variable LD_LIBRARY_PATH=$(pwd) in the root directory.
to run example
./example/example
To use this library, you will need to link against either the static or shared library.
If you wish to move the shared library to your /usr/lib/ directory, you can do so with make install.
You can find the header files for this library in the include/ directory.
I will update the repo with examples on how to use the library at a later stage.
-Matrix
-Row/Column switching
-Row/Column multiplication
-Row/Column Addition
-Matrix Scaling
-Vector Scaling
-Quarternion
-Better build system
-release / debug
-Unit Tests
-Anything else I've forgotten!...