direct search -凯发k8网页登录
pattern search solver for derivative-free optimization,
constrained or unconstrained
direct search is an efficient algorithm for solving smooth or nonsmooth
optimization problems. try patternsearch
first for most
nonsmooth problems.
functions
live editor tasks
optimize | optimize or solve equations in the live editor |
topics
problem-based direct search
basic example minimizing a nonsmooth function in the problem-based approach.
usepatternsearch
to minimize an objective function subject to bounds and nonlinear constraints.
visualize and tune direct search in the problem-based approach.
examples showing the utility of search in addition to poll methods in the problem-based approach.
solver-based direct search basics
provides an example of solving an optimization problem using pattern search.
shows how to write an objective function including extra parameters or vectorization.
example using linear constraints and nonlinear constraints inpatternsearch
.
this example shows the effect of choosing differentpatternsearch
algorithms.
this example shows the effect of choosing differentpatternsearch
algorithms using the optimize live editor task.- constrained minimization using pattern search, solver-based
use constraints in direct search. - effects of pattern search options
visualize and tune direct search.
shows how to set and examine options forpatternsearch
.
pattern search can minimize a function even in the presence of noise.- search and poll
examples showing the utility of search in addition to poll methods.
solver-based specialized tasks
examines the effects of polling options, including theusecompletepoll
option.
examines the effect of different mesh expansion and contraction factors.- custom plot function
shows how to write and use a plot function forpatternsearch
. - pattern search climbs mount washington
shows the stepspatternsearch
takes by using custom plot functions.
pattern search can minimize a function even in the presence of noise.
how to gain speed using vectorized function evaluations.- optimize odes in parallel
save time by calling an expensive subroutine just once and computing an ode solution in parallel usingpatternsearch
orga
.
direct search background
introduces direct search and pattern search.
explains some basic pattern search terminology.
provides an overview of direct search algorithms.
description of the nups algorithm.
describes how search methods work with polling steps.
stopping conditions and their associated options.
explains the augmented lagrangian pattern search (alps).- pattern search options
explore the options for pattern search.