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Port details

devel/py-directsearch 1.1

Derivative-free solver for unconstrained minimization

Port info

Maintainer
sunpoet@FreeBSD.org
Packages
latest: 1.1
Upstream
up to date
Last update
to 1.1 · b09a5d766b
Quarterly
2026Q4: 1.1
WWW
https://github.com/lindonroberts/directsearch
Links
cgit · VuXML

Install

Package
# pkg install py312-directsearch
installs 1.1 from latest; from quarterly (2026Q4) 1.1
Port
# cd /usr/ports/devel/py-directsearch && make install clean
Size
74 KiB download · 436 KiB installed
Depends on
devel/py-setuptools 63.1.0_3, lang/python312 3.12.15, math/py-numpy 2.4.6_1,1, science/py-scipy 1.17.1_5,1
License
GPLv3+

Packages by version and architecture

latest

FreeBSD versionamd64aarch64i386
FreeBSD 161.11.1–
FreeBSD 151.11.1–
FreeBSD 141.11.11.1

quarterly (2026Q4)

FreeBSD versionamd64aarch64i386
FreeBSD 151.11.1–
FreeBSD 141.11.11.1

version as in the ports tree (latest) or the most common one (quarterly) · different version · ✗ not built · – no packages for this platform. Package sets that have not been rebuilt for 60 days are left out.

Unaddressed and VuXML only (0)

No unaddressed CVE and nothing reported by pkg audit for the packaged version 1.1.

Fixed (0)

No VuXML entries for this package.

Problem reports (0) · open in Bugzilla, most recently changed first

None.

Commits (1)

Po-Chuan Hsieh (sunpoet) · 1.1
devel/py-directsearch: Add py-directsearch 1.1

directsearch is a package for solving unconstrained minimization, without
requiring derivatives of the objective. It is particularly useful when
evaluations of the objective function are expensive and/or noisy.

It implements a family of direct search methods. For general references on these
methods, please consult:
1. A R Conn, K Scheinberg, and L N Vicente. Introduction to derivative-free
   optimization. SIAM, 2009.
2. C Audet, and W. Hare. Derivative-Free and Blackbox Optimization. Springer,
   2017.
3. T G Kolda, R M Lewis, and V Torczon. Optimization by Direct Search: New
   Perspectives on Some Classical and Modern Methods. SIAM Review, 45(3), 2003,
   385-482.

This package extends general direct search methods to use randomized methods for
improved practical performance and scalability.
b09a5d766b