pso.2.0: pso.2.0

In jasonserviss/CIMseq: CIMseq is a software suite for analysis of scRNAseq data that has been produced using the cellular interactions by multiplet sequencing method

Description

Particle swarm optimization acceepting a start state and early stopping criteria.

Usage

pso.2.0(par, fn, gr = NULL, lower = -1, upper = 1,
  swarmInit = NULL, control = list(), ...)

Arguments

par	numeric; Vector with length defining the dimensionality of the optimization problem. For more information see psoptim.
fn	function; A function to be minimized. For more information see psoptim.
gr	function; A function to return the gradient if local search is BFGS. For more information see psoptim.
lower	numeric; Lower bounds on the variables.
upper	numeric; Lower bounds on the variables.
swarmInit	matrix; Initial swarm positions. Optional to enhance speed.
control	list; A list of control parameters. For more information see psoptim. In addition, final swarm positions can be returned by specifying return.swarm = TRUE.
...	Additional arguments to pass on.

Value

See psoptim.

Author(s)

Claus Bendtsen modified by Martin Enge

jasonserviss/CIMseq documentation built on Jan. 11, 2020, 4:42 a.m.