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LAPACKE is a standard C language APIs for LAPACK, which introduces the following features[1]: - row-major and column-major matrix layout controlled by the first function parameter; - an implementation with working arrays (middle-level interface) as well as without working arrays (high-level interface); - input scalars passed by value; - error code as a return value instead of the INFO parameter. [1] Intel Corporation. "C Interface to LAPACK" README. 2010.

[ excerpt from developer's web site ] MIRACL is a Big Number Library which implements all of the primitives necessary to design Big Number Cryptography into your real-world application. It is primarily a tool for cryptographic system implementors. RSA public key cryptography, Diffie-Hellman Key exchange, DSA digital signature, they are all just a few procedure calls away. Support is also included for even more esoteric Elliptic Curves and Lucas function based schemes. The latest version offers full support for Elliptic Curve Cryptography over GF(p) and GF(2m). Less well-known techniques can also be implemented as MIRACL allows you to work directly and efficiently with the big numbers that are the building blocks of number-theoretic cryptography. Although implemented as a C library, a well-thought out C++ wrapper is provided, which greatly simplifies program development. Most example programs (25+ of them) are provided in both C and C++ versions.

moo is a simple calculator that accepts C-like syntax as input. Calculations are done on expr, if given. Otherwise, the standard input is used. Numbers can be entered in hexadecimal (0xbeef), decimal (1984), octal (007), and binary (0b1001). All numerical operators (+, -, *, /, %), bit operators (|, ^, &, ~, <<, >>), and logical operators (==, !=, <, >, <=, >=, !, &&, ||) are supported.

LASPack (version 1.12.2) LASPack is a package for solving large sparse systems of linear equations like those which arise from discretization of partial differential equations. Main features: - The primary aim of LASPack is the implementation of efficient iterative methods for the solution of systems of linear equations. - Beside the obligatory Jacobi, succesive over-relaxation, Chebyshev, and conjugate gradient solvers, LASPack contains selected state-of-the-art algorithms which are commonly used for large sparse systems: - CG-like methods for non-symmetric systems: CGN, GMRES, BiCG, QMR, CGS, and BiCGStab, - multilevel methods such as multigrid and conjugate gradient method preconditioned by multigrid and BPX preconditioners. A complete description of the package (including the installation procedure) you may find in LASPack Reference Manual:

Armadillo is a C++ linear algebra library (matrix maths) aiming towards a good balance between speed and ease of use. The syntax is deliberately similar to Matlab. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK, or one of its high performance drop-in replacements (such as the multi-threaded MKL or ACML libraries). A delayed evaluation approach is employed (at compile-time) to combine several operations into one and reduce (or eliminate) the need for temporaries. This is accomplished through recursive templates and template meta-programming. Useful for conversion of research code into production environments, or if C++ has been decided as the language of choice, due to speed and/or integration capabilities.

libflame contains implementations of many dense linear algebra operations that are provided by the BLAS and LAPACK libraries. (However, not all FLAME implementations support every datatype, and, in many cases, libflame uses a different naming convention for the routines.) The library is a product of the Formal Linear Algebra Methods Environment (FLAME), which encompasses a new notation for expressing algorithms, a methodology for systematic derivation of algorithms, Application Program Interfaces (APIs) for representing the algorithms in code, and tools for mechanical derivation, implementation and analysis of algorithms and implementations.

Summary statistics, two-sample tests, rank tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. PPS sampling without replacement. Principal components, factor analysis.

This library is a C port of the implementation of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method written by Jorge Nocedal. The original FORTRAN source code is available at: http://www.ece.northwestern.edu/~nocedal/lbfgs.html

nauty is a program for computing automorphism groups of graphs and digraphs. It can also produce a canonical labelling.