  Vesicle suspensions appear in many biological and industrial applications.
These suspensions are characterized by rich and complex dynamics of vesicles
due to their interaction with the bulk fluid, and their large deformations and
nonlinear elastic properties. Many existing state-of-the-art numerical schemes
can resolve such complex vesicle flows. However, even when using provably
optimal algorithms, these simulations can be computationally expensive,
especially for suspensions with a large number of vesicles. In this paper, we
investigate the effect of a number of algorithmic empirical fixes in an attempt
to make low-resolution simulations more stable and more predictive. Based on
our empirical studies for a number of flow configurations, we propose a scheme
that attempts to integrate these fixes in a systematic way. This low-resolution
scheme is an extension of our previous work Quaife and Biros (2014) and Quaife
and Biros (2016). Our low-resolution correction algorithms (LRCA) include
anti-aliasing and membrane reparametrization for avoiding spurious oscillations
in vesicles' membranes, adaptive time stepping and a repulsion force for
handling vesicle collisions and, correction of vesicles' area and arc-length
for maintaining physical vesicle shapes. We perform a systematic error analysis
by comparing the low-resolution simulations of dilute and dense suspensions
with their high-fidelity, fully resolved, counterparts. We observe that the
LRCA enables both efficient and statistically accurate low-resolution
simulations of vesicle suspensions, while it can be 10x to 100x faster.
