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Lybniz is an easy to use mathematical function graph plotter using pyGTK.

KmPlot is a program to draw graphs, their integrals or derivatives. It supports different systems of coordinates like the cartesian or the polar coordinate system. The graphs can be colorized and the view is scalable, so that you are able to zoom to the level you need. Features: - Powerful mathematical parser. - Precise metric printing. - Different plot types: cartesian, parametric, polar, implicit, differential. - Highly configurable visual settings (plot line, axes, grid). - Export to bitmap format (BMP and PNG) and scalable vector graphics (SVG). - Save/load complete session in readable XML format. - Trace mode: cross hair following plot, coordinates shown in the status bar. - Supports zooming. - Ability to draw the 1st and 2nd derivative and the integral of a plot function. - Supports user defined constants and parameter values. - Various tools for plot functions: - Find minimum/maximum point. - Get y-value and draw the area between the function and the y-axis.

LTL is a C++ class template library for scientific computing which provides high performance via SSE3 floating point support for vector operations. Useful for array processing, image processing, FITS and ASCII I/O, and linear algebra (astronomical and scientific computing, in short). LTL provides dynamic arrays of up to 5-dimensions, subarrays and slicing, support for fixed size vectors and matrices including basic linear algebra operations, expression templates based evaluation, and I/O facilities for ascii and FITS format files. Users of the boost and blitz++ library may find the cross-pollination of these unique features to be fruitful.

KKTDirect implements an ordering method and accompanying factorization for the direct solution of saddle-point matrices (also known as KKT or equilibrium matrices). A simple constraint on ordering together with an assumption on the rank of parts of the matrix are sufficient to guarantee the existence of the LDL^T factorization, stability concerns aside. In fact, D may be taken to be a diagonal matrix with +/-1 along the diagonal, and be fully determined prior to factorization, giving rise to a "signed Cholesky" factorization. A modified minimum-degree-like algorithm which incorporates this constraint is used, along with a simple algorithm to modify an existing fill-reducing ordering to respect the constraint. While a stability analysis is lacking, numerical experiments indicate that this is generally sufficient to avoid the need for numerical pivoting during factorization, with clear possible benefits for performance. Note this is only alpha-quality proof-of-concept code: for example, out-of-memory errors are not handled gracefully, and the provided Minimum Degree routine is not yet competitive with other packages.

Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.

Lambda is a lambda calculus interpreter. It also will convert lambda expression into the combinators S, K, and I. Current features: * Load predefined lambda expression * Many definitions provided: numbers Y fact map iszero list 1st 2nd 3rd ADD MUL EXP list suc pred . . . * Automatic number definitions. * Interpret lambda expressions. * Single step interpretation. * Normal or application order reductions. * Variable extraction (Conversion to S K I) * List definitions. * Some lambda calculus theory.

METIS is a software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reducing orderings of sparse matrices. Important note: this is not the original METIS, it has been specially patched by EDF to be used by Code_Aster.

LAPACK++ (Linear Algebra PACKage in C++) is a software library for numerical linear algebra that solves systems of linear equations and eigenvalue problems on high performance computer architectures. Computational support is provided for supports various matrix classes for vectors, non-symmetric matrices, SPD matrices, symmetric matrices, banded, triangular, and tridiagonal matrices; however, it does not include all of the capabilities of original f77 LAPACK. Emphasis is given to routines for solving linear systems consisting of non-symmetric matrices, symmetric positive definite systems, and solving linear least-square systems.

LAPACK is a library of Fortran 77 subroutines for solving the most commonly occurring problems in numerical linear algebra. It is freely-available software, and is copyrighted. We recommend that you run the testing and timing programs. To view an HTML version of the Users' Guide please refer to the URL: http://www.netlib.org/lapack/lug/

LAPACK95 is a Fortran 95 interface to the Fortran 77 LAPACK library. It improves upon the original user-interface to the LAPACK package, taking advantage of the considerable simplifications which Fortran 95 allows. The design of LAPACK95 exploits assumed-shape arrays, optional arguments, and generic interfaces. The Fortran 95 interface has been implemented by writing Fortran 95 ``wrappers'' to call existing routines from the LAPACK package. This interface can persist unchanged even if the underlying Fortran 77 LAPACK code is rewritten to take advantage of the new features of Fortran 95.