Ubuntu
ann package

ann 1.1.2+doc-4.1 source package in Ubuntu

Changelog

ann (1.1.2+doc-4.1) unstable; urgency=medium


  * Non-maintainer upload.
  * Switch to automake1.11. (Closes: #741717)

 -- Eric Dorland <email address hidden>  Sat, 22 Mar 2014 14:07:24 -0400

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
libs
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Trusty release universe libs

Downloads

File Size SHA-256 Checksum
ann_1.1.2+doc-4.1.dsc 2.0 KiB 49383b3421a253ce56378d51ba54c6dfcbc5c4e7ddb8795e69cf692451f8405a
ann_1.1.2+doc.orig.tar.gz 677.7 KiB 1a8053e4f1ee284430758a2d864e567d9b4b08c0f6562460c9913497fafc78c1
ann_1.1.2+doc-4.1.debian.tar.xz 10.8 KiB 3166375681fa1e7955c2fee7cb1e93e5f45630b79632dead32f25380a9ff91d3

Available diffs

No changes file available.

Binary packages built by this source

ann-tools: Approximate Nearest Neighbor Searching library (tools)

 ANN is a library written in C++, which supports data structures and
 algorithms for both exact and approximate nearest neighbor searching
 in arbitrarily high dimensions. ANN assumes that distances
 are measured using any class of distance functions called Minkowski
 metrics. These include the well known Euclidean distance, Manhattan
 distance, and max distance. ANN performs quite efficiently for point
 sets ranging in size from thousands to hundreds of thousands, and in
 dimensions as high as 20.
 .
 This package contains the ann2fig (display ANN output in fig format)
 and the ann_sample (a sample demonstration for ANN) programs.

libann-dev: Approximate Nearest Neighbor Searching library (development files)

 ANN is a library written in C++, which supports data structures and
 algorithms for both exact and approximate nearest neighbor searching
 in arbitrarily high dimensions. ANN assumes that distances
 are measured using any class of distance functions called Minkowski
 metrics. These include the well known Euclidean distance, Manhattan
 distance, and max distance. ANN performs quite efficiently for point
 sets ranging in size from thousands to hundreds of thousands, and in
 dimensions as high as 20.
 .
 This package contains the header files for developing applications
 with the ANN library.

libann0: No summary available for libann0 in ubuntu utopic.

No description available for libann0 in ubuntu utopic.