This example shows the core functionality of MathCode C++ by
compiling a trivial Mathematica function that adds two
numbers. It shows how the compilation is performed and how the
compiled code can be called directly from
Generation of a Symbolic Matrix
This notebook demonstrates how MathCode C++ can be used to
generate C++ code to efficiently compute a large matrix with symbolic
entries. The matrix in this case is a Hessian of a given function, which is an important
entity to compute efficiently. Hessians have many
applications, e.g., in optimization algorithms.
This notebook illustrates how to build a dynamic model of a physical
system and then generate efficient code for simulation.
The function FindMinimum finds a local minimum of a given function and a given starting value. A function cannot be translated by MathCode directly when the argument is a symbolic expression. Also, numerical algorithms for minimization are not included in the MathCode runtime library.
The solution is to write a Mathematica function that replicates the
FindMinimum operation using the compilable subset. This notebook
illustrates how to do that for a function with one argument.