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fronttracking

Front tracking is a numerical method for solving hyperbolic partial differential equations, particularly conservation laws, by explicitly tracking discontinuities in the solution, such as shocks and material interfaces. Instead of diffusing sharp features, fronts are represented as moving lower-dimensional structures embedded in the computational domain. The evolution of these fronts is governed by the governing equations and by local Riemann problems at each front, which determine the speeds and strengths of the fronts. When fronts collide or interact, a local Riemann problem is solved to produce new fronts, and the front representation is updated accordingly. Solutions can be advanced with either exact or approximate Riemann solvers, and the method aims to maintain sharp resolution of discontinuities.

Front tracking is often used in one- or quasi-one-dimensional problems where discontinuities play a central role,

Strengths of front tracking include accurate capture of sharp interfaces and reduced numerical diffusion compared with

such
as
gas
dynamics,
shallow
water
equations,
and
combustion.
In
higher
dimensions,
fronts
become
curves
or
surfaces,
and
their
management
involves
splitting,
merging,
and
reparametrization,
increasing
computational
complexity.
Variants
may
combine
front
tracking
with
level-set
techniques
or
particle-based
representations
to
handle
topology
changes
or
complex
geometries.
The
approach
requires
careful
treatment
of
front
curvature,
weak
solutions,
and
consistency
with
conservation
laws.
traditional
grid-based
schemes.
Limitations
include
difficulty
handling
large
numbers
of
frontal
interactions,
topological
changes,
and
scalability
in
higher
dimensions.
As
a
specialized
tool,
front
tracking
is
most
effective
in
problems
where
the
correct
representation
of
moving
discontinuities
is
essential.