libjama 1.2.4-2.3 source package in Ubuntu
Changelog
libjama (1.2.4-2.3) unstable; urgency=medium
* Non-maintainer upload.
[ Nilesh Patra ]
* Build reproducibly: fix timestamps issues by passing gzip -n and fix
permissions in included shipped tarball. (Closes: #986601)
-- Vagrant Cascadian <email address hidden> Thu, 15 Dec 2022 13:18:25 -0800
Upload details
- Uploaded by:
- Juan Esteban Monsalve Tobon
- Uploaded to:
- Sid
- Original maintainer:
- Juan Esteban Monsalve Tobon
- Architectures:
- all
- Section:
- math
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Lunar | release | universe | math |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| libjama_1.2.4-2.3.dsc | 1.2 KiB | 00219d0d1a7ace92d4eb9960175f1f39a63bfaecde03676fff434437e70b0f67 |
| libjama_1.2.4.orig.tar.gz | 43.3 KiB | 2f10aa9a1017f9b2ed4befc7a6ec73a755ed1faad93abd8da1e93a56a5884e50 |
| libjama_1.2.4-2.3.diff.gz | 9.7 KiB | 017b667170b990a40d05fd7acd4ac80e6644db023b5a14e1dae65f27bb4c80f8 |
Available diffs
- diff from 1.2.4-2.2 to 1.2.4-2.3 (596 bytes)
No changes file available.
Binary packages built by this source
- libjama-dev: C++ Linear Algebra Package
JAMA/C++ was adapted for The Template Numerical Toolkit (TNT) from
JAMA, a Java Matrix Library, developed jointly by the Mathworks and
NIST. See http://math.nist. gov/javanumeric s/jama for more information.
.
TNT is a collection of interfaces and reference implementations of
numerical objects useful for scientific computing in C++. The toolkit
defines interfaces for basic data structures, such as multidimensional
arrays and sparse matrices, commonly used in numerical applications.
The goal of this package is to provide reusable software components
that address many of the portability and maintenance problems with C++
codes.
.
TNT provides a distinction between interfaces and implementations of
TNT components. For example, there is a TNT interface for
two-dimensional arrays which describes how individual elements are
accessed and how certain information, such as the array dimensions, can
be used in algorithms; however, there can be several implementations of
such an interface: one that uses expression templates, or one that uses
BLAS kernels, or another that is instrumented to provide debugging
information. By specifying only the interface, applications codes may
utilize such algorithms, while giving library developers the greatest
flexibility in employing optimization or portability strategies.
