xmds2 3.1.0+dfsg-2 source package in Ubuntu

Changelog

xmds2 (3.1.0+dfsg-2) unstable; urgency=medium

  * d/copyright: Update Copyright years
  * d/s/lintian-overrides: Add override for license-problem-gfdl-invariants false positive

 -- Rafael Laboissière <email address hidden>  Mon, 25 Oct 2021 02:03:41 -0300

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Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

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Series Pocket Published Component Section

Builds

Jammy: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
xmds2_3.1.0+dfsg-2.dsc 2.5 KiB 5196ead9af5db839e12ec76f981515651a7e8472b642c3d2776c4fe90c8f9849
xmds2_3.1.0+dfsg.orig.tar.xz 19.6 MiB c917f87d316ecb2a3e9da5db2747657b6155e22e4358e29fbfde225f666b8012
xmds2_3.1.0+dfsg-2.debian.tar.xz 13.0 KiB 5bdea67432893bce39eca94cc3e415eb3ebd1d77fc30a512519bf0000f05faba

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Binary packages built by this source

xmds2: eXtensible Multi-Dimensional Simulator

 XMDS is a code generator that integrates equations, from Ordinary
 Differential Equations (ODEs) up to stochastic Partial Differential
 Equations (PDEs). You write them down in human readable form in an
 XML file, and it goes away and writes and compiles a C++ program that
 integrates those equations as fast as it can possibly be done in your
 architecture.
 .
 XMDS 2 is a major upgrade rewritten in Python which is faster and far
 more versatile than previous versions, allowing the efficient integration
 of almost any initial value problem on regular domains.

xmds2-doc: documentation for the eXtensible Multi-Dimensional Simulator

 XMDS is a code generator that integrates equations, from Ordinary
 Differential Equations (ODEs) up to stochastic Partial Differential
 Equations (PDEs). You write them down in human readable form in an
 XML file, and it goes away and writes and compiles a C++ program that
 integrates those equations as fast as it can possibly be done in your
 architecture.
 .
 XMDS 2 is a major upgrade rewritten in Python which is faster and far
 more versatile than previous versions, allowing the efficient integration
 of almost any initial value problem on regular domains.
 .
 This package contains the documentation in HTML and PDF formats.