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The spreadsheet calculator sc is based on rectangular tables much like a financial spreadsheet. When invoked it presents you with a table organized as rows and columns of cells. If invoked without a file argument, the table is initially empty. Each cell may have associated with it a numeric value, a label string, and/or an expression (formula) which evaluates to a numeric value or label string, often based on other cell values.

The ScaLAPACK (or Scalable LAPACK) library includes a subset of LAPACK routines redesigned for distributed memory MIMD parallel computers. It is currently written in a Single-Program-Multiple-Data style using explicit message passing for interprocessor communication. It assumes matrices are laid out in a two-dimensional block cyclic decomposition.

SIVP stands for Scilab Image and Video Processing toolbox. SIVP intends to do image processing and video processing tasks. SIVP is meant to be a useful, efficient, and free image and video processing toolbox for Scilab.

Scilab Wavelet Toolbox (SWT) Wavelet is a powerful signal processing tool developed and developing in the last two decades. Scilab Wavelet Toolbox is a free software package to enable you using wavelet analysis tools freely in Scilab on most OSes including GNU/Linux, BSD and Windows. Scilab Wavelet Toolbox is designed to work with any Scilab Image Processing Toolbox like SIP or SIVP for displaying 2-D results. What Scilab Wavelet Toolbox supposed to do: Discrete Fast Wavelet Transform, daubechies wavelets 1-D single level signal decomposition and reconstruction 1-D multi-level signal decomposition and reconstruction 2-D single level image decomposition and reconstruction 2-D multi-level image decomposition and reconstruction.

Scilab is a scientific software package for numerical computations in a user-friendly environment. Main features * Hundreds of mathematical functions * High level programming language * 2-D and 3-D graphics * Advanced data structures and user defined data types * Xcos: hybrid dynamic systems modeler and simulator 2-D and 3-D visualization * Lines * Pie charts * Histograms * Surfaces * Animations * Graphics export in many formats: GIF, BMP, JPEG, SVG, PDF... Numerical computation * Linear algebra * Sparse matrices * Polynomials and rational functions * Simulation: explicit and implicit systems of differential equations solvers * Classic and robust control * Differentiable and non-differentiable optimization Data analysis * Interpolation, approximation * Signal Processing * Statistics Extended features * Graphs and Networks * Interface with Fortran, C, C++, Java * Functions for calling Scilab from C, C++, Fortran and Java * LabVIEW Gateway * A large number of modules available via ATOMS

The SDPA (SemiDefinite Programming Algorithm) is a software package for solving semidefinite program (SDP). It is based on a Mehrotra-type predictor-corrector infeasible primal-dual interior-point method. The SDPA handles the standard form SDP and its dual. It is implemented in C++ language utilizing the LAPACK for matrix computation. The SDPA incorporates dynamic memory allocation and deallocation. So, the maximum size of an SDP to be solved depends on the size of memory which users' computers install. The SDPA enjoys the following features: 1. Callable library of the SDPA is available. 2. Efficient method for computing the search directions when an SDP to be solved is large scale and sparse. 3. Block diagonal matrix structure and sparse matrix structure in data matrices are available. 4. Some information on infeasibility of a semidefinite program to be solved is provided.

This package contains functions to perform Bayesian inference using posterior simulation for a number of statistical models. Most simulation is done in compiled C++ written in the Scythe Statistical Library Version 1.0.3. All models return coda mcmc objects that can then be summarized using the coda package. Some useful utility functions such as density functions, pseudo-random number generators for statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization are provided.

sfft is a library to compute discrete Fourier transforms of signals with a sparse frequency domain, using an algorithm that is more efficient than other known FFT algorithms. It was developed by Haitham Hassanieh, Piotr Indyk, Dina Katabi, and Eric Price at the Computer Science and Artifical Intelligence Lab at MIT. Performance optimizations were developed by J. Schumacher at the Computer Science Department of ETH Zurich in 2013.

SLATEC is a comprehensive software library containing over 1400 general purpose mathematical and statistical routines written in Fortran 77.

A S-Lang module to plot graphs using grace. Grace is a popular plotting tool that produces publication quality plots. The S-Lang module interacts with grace via pipes.