# [Solvers](@id solvers)
## LP
HiGHS has implementations of the three main solution techniques for
LP. HiGHS will choose the most appropriate technique for a given
problem, but this can be over-ridden by setting the option
[__solver__](@ref option-solver).
#### Simplex
HiGHS has efficient implementations of both the primal and dual
simplex methods, although the dual simplex solver is likely to be
faster and is more robust, so is used by default. The novel features
of the dual simplex solver are described in
_Parallelizing the dual revised simplex method_, Q. Huangfu and
J. A. J. Hall, Mathematical Programming Computation, 10 (1), 119-142,
2018 [DOI:
10.1007/s12532-017-0130-5](https://link.springer.com/article/10.1007/s12532-017-0130-5).
* Setting the option [__solver__](@ref option-solver) to "simplex" forces the simplex solver to be used
* The option [__simplex\_strategy__](@ref option-simplex_strategy)
determines whether the primal solver or one of the parallel solvers is
to be used.
#### Interior point
HiGHS has one interior point (IPM) solver based on the preconditioned conjugate gradient method, as discussed in
_Implementation of an interior point method with basis
preconditioning_, L. Schork and J. Gondzio, Mathematical Programming Computation, 12, 603-635, 2020. [DOI:
10.1007/s12532-020-00181-8](https://link.springer.com/article/10.1007/s12532-020-00181-8).
This solver is serial. An interior point solver based on direct factorization is being developed.
Setting the option [__solver__](@ref option-solver) to "ipm" forces the IPM solver to be used
#### Primal-dual hybrid gradient method
HiGHS includes the [
cuPDLP-C](https://github.com/COPT-Public/cuPDLP-C) primal-dual hybrid
gradient method for LP (PDLP). On Linux and Windows, this can be run
on an NVIDIA [GPU](@ref gpu). On a CPU, it is unlikely to be
competitive with the HiGHS interior point or simplex solvers.
Setting the option [__solver__](@ref option-solver) to "pdlp" forces the PDLP solver to be used
## MIP
The HiGHS MIP solver uses established branch-and-cut techniques. It is
largely single-threaded, although implementing a multi-threaded tree
search is work in progress.
## QP
The HiGHS solver for convex QP problems uses an established primal
active set method. The new interior point solver will also be able to
solve convex QP problems.