* Marlindeed* is the startup developing innovative solver (we called it

*) for using in applications of*

**Marlin Solver***computer-aided engineering*(CAE).

**CAE** – is the software industry dedicated to problems of *engineering analysis, optimization and simulation*.
Nowadays, practically no one branch of industry can bypass solving problems of engineering simulation, analysis and optimization.
These methods are becoming more and more popular not only in engineering but also *in many branches of science* – for instance, in chemistry, in biology and in medicine.

Problems of *engineering analysis* may be roughly divided into two groups – problems of *analysis of solid constructions* (solid mechanics)
and problems of *analysis of fluids and gases* (it is called CFD – *computational fluid dynamics*).

Both types of problems - *solid mechanics* and *CFD* - are treated by solving corresponding *partial derivative equations* (PDE), and all these classes of problems, after discretization, result
in *solving systems of linear equations* with *matrices of a similar structure*. The structure of these matrices is very specific - the matrices are *very sparse*, symmetric and positive defined.

For such matrices there are well known efficient methods - for instance, *conjugate gradients* method. Some variation of this method is used in most PDE-solvers.
There is a common opinion that it is not possible to outperform conjugate gradients...

But it is possible! Our * Marlin Solver* is dramatically much more efficient (especially when hardware is capable for

*mass parallelization*).

We see *our mission* in providing the technology that opens opportunities far beyond conjugate gradients. We called this technology **Marlin Solver**