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Toolboxes Available in 5.3 Package Name Title Summary ampl_toolbox AMPL An interface Scilab to load .nl interface files created by AMPL ANN_Toolbox ANN ANN Toolbox Toolbox apifun Apifun Check input arguments in macros. assert Assert A collection module of predicate (i.e., true–false) functions celestlab CelestLab CNES Space mechanics toolbox for mission analysis conmin Conmin A Scilab interface to the conmin optimization method csv_readwrite csv_readw fast rite dedicated scilab functions to read and write csv files CUTEr CUTEr Testing environment for optimization and linear algebra solvers dace_scilab DACE for This is a Scilab conversion Kriging of the well toolbox known DACE kriging toolbox for Matlab. dde_toolbox DDE Dynamic Toolbox Data Exchange client for Scilab edflib edflib load/write edf/bdf-files emd_toolbox Empirical Toolbox for Mode Empirical Decompos Mode ition Decompositio Toolbox n of 1-D, 2-D and more dimesional signals. femtruss FEMTruss A Truss finite element code for scilab Financial Financial Module is about risk measure and management, asset allocation, and pricing floatingpoint Floating Functions to Point manage Module floating point numbers fmincon Fmincon Nonlinearily constrained multivariable optimization solver fsmtbx Factorizati Fast on of factorization Structured of matrices Matrices with Toolbox displacement structure Global_Optim_toolbo A Toolbox Global x for optimization Unconstra toolbox for ined solving Global unconstraine Optimizati d polynomial on of optimization Polynomia problems l functions. grocer GROCER Comprehensi ve econometric toolbox guibuilder GUI A Graphic Builder User Interface Builder guimaker guimaker A toolbox for creating GUIs with a minimum of programming . HYDROGRv50 HYDROGR Models and function for operational hydrology intprbs Integratio Provides 23 n functions for Problems multidimensi Module onal integration. lolimot Lolimot A fast neural network - LOcal LInear MOdel Tree lowdisc Low Provides Discrepan Halton, Sobol cy and other Sequences sequences. lsitbx Linear Scilab 5 System toolbox for Inversion optimal Toolbox stable inversion of linear time- invariant systems. makematrix Make A collection Matrix of test matrices. MatrixMarket Matrix Read and Market Write Matrix Market formatted files Max_Plus_Algebra Max-Plus Collection of Algebra some theory Toolbox and applications in Max Plus Algebra MDPtoolbox MDPtoolb Markov ox Decision Processes toolbox metanet Metanet Graph and Network toolbox mingw MinGw Dynamic link toolbox with MinGW for Scilab on Windows minphase_toolbox Minphase Design a stable discrete IIR filter with arbitrary gain or phase. module_lycee Module Scilab pour Lycée les lycées NISP NISP Non Intrusive Spectral Projection NTG Network This module Topology is dedicated Generator to network topologies analysis. number Number Number theory related algorithms opc_client OPC Client OLE for Process Control Toolbox for Scilab optkelley Optkelley Scilab software for Iterative Methods for Optimization plotlib Plotting "Matlab-like" library Plotting library for Scilab quapro Quapro Linear and Linear Quadratic Programming RLDesign Control Simple GUI Design for Control Tool Design Using Root Locus scicobyla SciCOBYLA An interface to the COBYLA optimization method. scilab2c Scilab 2 C Translate Scilab code into C code scipad Scipad Scipad 7.20 7.20 simplex Simplex This package optimizati contains the on simplex toolbox optimization method SIVP Scilab SIVP intends Image to do image and Video processing Processing and video toolbox processing tasks sndfile_toolbox sndfile Read & write Toolbox sound files socket_toolbox Socket Basic socket functions for Scilab stftb Time Toolbox Frequency developed Toolbox for the analysis of non- stationary signals using time- frequency distributions. stixbox Stixbox Statistics toolbox for Scilab 5.2 swt Scilab mimic Wavelet matlab Toolbox wavelet toolbox toolbox_1 Toolbox To test the Test 1 Atoms system uncprb Unconstra Provide 35 ined unconstraine Optimizati d on optimization Problem problems Toolbox WriteXmlExcel WriteXmlE Write Excel xcel xml files xmltodocbook xmltodocb converts ook scilab 4.x help files to scilab 5 help files Toolboxes Available in 5.3 Description This toolbox allows you to load into Scilab .nl files created using AMPL (http://www.ampl.com). Once loaded into Scilab, you can use them like any other objective functions, get derivatives, constraints, etc. You can use Scilab optimization tools to find some solutions. You must compile ampl .mod files into .nl files before using this toolbox to load the file into Scilab. This represents a toolbox for artificial neural networks, based on my developments described in "Matrix ANN" book, under development, if interested send me an email at r.hristev@phys.canterbury.ac.nz Current features - Only layered feedforward networks are supported *directly* at the moment (for others use the "hooks" provided) - Unlimited number of layers - Unlimited number of neurons per each layer separately - User defined activation function (defaults to logistic) - User defined error function (defaults to SSE) - Algorithms implemented so far: * standard (vanilla) with or without bias, on-line or batch * momentum with or without bias, on-line or Purpose The goal of this module is to provide a set to function to check input arguments in macros. In functions with a variable number of input arguments, we often have the following source code, which checks that the number of input arguments provided by the user is consistent with the number of expected arguments : [lhs,rhs]=argn() if ( rhs < 2 | rhs > 5 ) then errmsg = msprintf(gettext("%s: Unexpected number of input arguments : %d provided while from %d to %d are expected."), "myfunnction", rhs,2,5); error(errmsg) end Writing this code is error-prone and boring. Moreover, this fragment of source code is duplicated in many functions, leading to small variations depending on the developer. In particular, this makes the localization of the error messages difficult, because the message can be slightly different depending on the function. It can also Purpose ---- The goal of this toolbox is to provide assert function. We emphasize the numerical issues, with the goal of testing numerical algorithms more easily. In particular, we provide a comparison function for two floating point numbers, which allows to assert that two numbers are "close" (including, but not limited to, equal). The function of the assert module are designed to be used in Scilab unit tests files (.tst files). The following is a list of the current features: * assert for true, equal statements * assert that two floating point numbers are "close". Use an relative or a absolute tolerance * provide a sorting function for double complex numbers with a mixed relative/absolute tolerance criteria. The following is a list of the current assert functions : * assert_almostequal : Check that computed and expected are numerically close. * assert_equal : Check that CelestLab is a library of space flight dynamics functions written in Scilab. This library has been developed and is maintained by CNES (Centre National d’Etudes Spatiales) for mission analysis purposes. The library is used by CNES for the trajectory analysis and orbit design of various missions. CelestLab gathers in ten modules about 200 functions that allow mission designers to perform various tasks such as: orbit propagation, attitude computation, elementary manoeuvre computation, change of reference frames, change of coordinates, three The CONMIN optimization method is currently used in NASTRAN (a professionnal finite element tool) and the optimization part of NASTRAN (the CONMIN tool) is currently public domain. The CONMIN fortran program has been written by G. Vanderplaats. This optimization method can solve efficiently constrained optimization problems. fast dedicated scilab functions to read and write csv files To compare speed: with default scilab functions: stacksize('max'); M = ones(1000, 1000); timer(); write_csv(M, TMPDIR + "/csv_write_1.csv"); timer() timer(); r = read_csv(TMPDIR + "/csv_write_1.csv") timer() with optimized functions: stacksize('max'); M = ones(1000, 1000); timer(); csv_write(M, TMPDIR + "/csv_write_1.csv"); timer() CUTEr is a versatile testing environment for optimization and linear algebra solvers. This toolbox is a scilab port of the original Matlab toolbox (http://hsl.rl.ac.uk/cuter-www/). DACE, Design and Analysis of Computer Experiments, is a Matlab toolbox for working with kriging approximations to computer models. Typical use of this software is to construct a kriging approximation model based on data from a computer experiment, and to use this approximation model as a surrogate for the computer model. The software also addresses the design of experiment problem, that is choosing the inputs at which to evaluate the computer model for constructing the kriging approximation. Dynamic Data Exchange client for Scilab to communicate with excel and some others DDE servers. see help & demos EDFlib is a programming library for C/C++ to read/write EDF+/BDF+ files. EDF means European Data Format. BDF is the 24-bits version of EDF. This is a gateway to load/write the EDF+/BDF+ files directly from scilab. Information about edflib can be found at http://www.teuniz.net/edflib/ Version 0.2.4 - new edflib version V1.07 Version 0.2.3 - new functions: edf_set_record_duration - new edflib version V1.05 Version 0.2.2 - new functions: edfseek, edftell, edfrewind, edfopen_file_readonly - the parameter edfsignal starts from 1! E.g. read Toolbox for Empirical Mode Decomposition of 1-D, 2-D and more dimensional signals. Summary from Wikipedia (http://en.wikipedia.org/wiki/Hilbert%E2%80%93Huang_transform): Using the EMD method, any complicated data set can be decomposed into a finite and often small number of components, which is a collection of intrinsic mode functions (IMF). An IMF represents a generally simple oscillatory mode as a counterpart to the simple harmonic function. By definition, an IMF is any function with the same number of extrema and zero crossings, with its envelopes being symmetric with respect to zero. The definition of an IMF guarantees a well- behaved Hilbert transform of the IMF. This decomposition method operating in the time domain is adaptive and highly efficient. Since the decomposition is based on the local characteristic time scale of the data, it can be applied to nonlinear and nonstationary processes. A Truss finite element code for scilab. In the demos directory, you will find some demos related to structural optimization, computation of partial derivatives and display of structures. The module is dedicated to finance. There are three main areas that are covered: (i) risk measure and management, (ii) asset allocation, and (iii) pricing. For what concerns the risk measure, some functions are dedicated to the computation of Value at Risk (VaR) and Expected Shortfall (ES). Backtest is also implemented in order to check the goodness of such risk measures. Both VaR and ES are also computed in an Extreme Value Theory framework (EVT). Furthermore, it is possible to estimate the parameters of the EVT density function (through maximum likelihood). The Mean Excess Function for graphical study of an EVT distribution is also implemented. The interest rate risk is faced by functions aimed at computing duration, convexity, and yield to maturity. Furthermore, Merton, Vasicek and Cox, Ingersoll and Ross interest rate models are implemented Floating Point toolbox Purpose The goal of this toolbox is to provide a collection of algorithms for floating point number management. This is more a learning tool than an operationnal component, although it might complement some features which are not provided by Scilab. The flps_systemgui function allows to see the distribution of floating point numbers graphically. By varying the rounding mode, the precision and the logscale, we can actually the distribution of a toy floating point number. Adding or suppressing the denormals can be instructive too. The functions allow to compute automatically the properties of the current Scilab system with respect to the doubles. It is similar in spirit to the number_properties functions, except that our functions are based on macros and that the returned values are made consistent with the references cited in the Purpose The goal of this toolbox is to provide a fmincon function in Scilab. The fmincon function is a nonlinearily constrained optimization solver. Currently, we use ipopt for the actual solver of fmincon. The current state of the function is experimental. Many features are yet to be implemented. We provide upgraded versions of the optimset and optimget functions, which manage options which are required by fmincon. The current implementation is able to manage the following use cases. We use a L-BFGS formula in order to compute an approximate of the Hessian of the Lagrangian. (0) The initial guess is provided in the x0 input argument. (1) The nonlinear objective function and the nonlinear constraints are provided. The fun and nonlcon function can be customized to configure the nonlinear objective function and nonlinear constraints. In this case, The Factorization of Structured Matrices Toolbox is a Scilab 5 toolbox for the fast factorization of matrices with displacement structure like, e.g., (block) Toeplitz matrices. Implemented algorithms: * Generalized Schur algorithm for fast LDL/Cholesky factorization of strongly regular hermitian matrices with displacement structure of Stein type * Fast LDL/Cholesky factorization of strongly regular (block) Toeplitz matrices * Fast QR factorization of (block) Toeplitz matrices Features: * Mainly written in C for speed * Implements real and complex arithmetic Current Limitations: * Source hasn't been optimized in any way Many problems in science and engineering can be reduced to the problem of finding optimum bounds for the range of a multivariable polynomial on a specified domain. Local optimization is an important tool for solving polynomial problems, but there is no guarantee of global optimality. For polynomial optimization problems, an alternate approach is based on the Bernstein form of the polynomial. If a polynomial is written in the Bernstein basis over a box, then the range of the polynomial is bounded by the values of the minimum and maximum Bernstein coefficients. Global optimization based on the Bernstein form does not require the iterative evaluation of the objective function. Moreover, the coefficients of the Bernstein form are needed to be computed only once, i.e., only on the initial domain box. The Bernstein coefficients for the subdivided domain boxes can then be obtained from the initial box itself. Capturing these beautiful properties of the Bernstein polynomials, global optimum for the polynomial on the given domain can be obtained. The toolbox is developed based on the above ideas. GROCER provides many standard econometric methods: ols, instrumental variables, VAR, specification and unit root tests, limited dependent variables methods, Johansen cointegration tests and VECM, GMM, statistical filters, basic methods on panel data, ARMA and VARMA estimations, GARCH ... GROCER provides also less standard ones: a pc-gets like function implementing in an automatic manner the "general-to-specific" methodology, various Markov-switching estimations, Bayesian Model Averaging estimation, dynamic GUI Builder is a Graphic User Interface Builder under Scilab. The program allows you to build your GUI quickly, and the code for the gui would be generated automatically. Version 1.0 limitation 1. The output GUI size is fixed 2. During the design, the user only have 1 chance to place the uicontrol. There are no way to resize, modify the properties, or undo the previous operation. All changes only could be done in the generated code. 3. Limited properties are user-defined a. Tag - Used as the pointer to the uicontrol b. String - Used as the display name at certains uicontol c. Callback - Whether the uicontrol needs a callback, if yes, the callback name would guimaker is a command line tool for creating graphical user interfaces (GUI) in Scilab. The GUIs are based on the available uicontrol objects in Scilab. Guimaker can be used either for generating GUIs within programs, or it can be used for creating Scilab source code which serve as a starting point for more advanced programming of GUIs. Changes in version 1.4: * Minor bug fixes. HYDROGR is a set of models and function to perform data analysis and modelling of hydrological time series. In particular HYDROGR contains the rainfall-runoff model GR4J developped in CEMAGREF (see http://www.cemagref.fr/webgr/index.htm). The functions are written in Scilab languages and C Purpose The goal of this toolbox is to provide integration test problems in order to test integration algorithms. This allows to test integration algorithms on a larger base of functions. Developping these functions is error- prone, so that using this module allows to save much time. Moreover, testing an algorithm leads to the difficulty of chosing a set of test functions. But all functions are not equally difficult to integrate; while some are simple, other might be particularily difficult, leading to poor results. Comparing two algorithms, each on a different set of functions will not lead to an accurate view of the algorithm. This module allows to compare the algorithms more precisely. In spirit, this module has the same motivations as the Unconstrained Optimization Scilab toolbox based on the More, Garbow and Hillstrom collection of functions. Overview The module currently The Lolimot model (LOcal LInear MOdel Tree) is a model from the neural network familly. It is able to learn every kind of non-linear relationship. Compared to a classical neural network, the learning phase of a LOLIMOT model is quite fast and deterministic. Once a model is learnt, you have an easy access to analytical derivatives of your model through a call to the function estim_der_lolimot. The goal of this toolbox is to provide a collection of low discrepancy sequences. These random numbers are designed to be used in a Monte-Carlo simulation. For example, low discrepancy sequences provide a higher convergence rate to the Monte-Carlo method when used in numerical integration. The toolbox takes into account the dimension of the problem, i.e. generate vectors with arbitrary size. The current prototype has the following features : * manage arbitrary number of dimensions, * skips a given number of elements in the sequence, * leaps (i.e. ignores) a given number of elements from call to call, * fast sequences based on compiled source code, * suggest optimal settings to use the best of the sequences, * object oriented programming. Overview of sequences * The Halton sequence, * The Sobol sequence, * The Faure sequence, * The Reverse The Linear System Inversion Toolbox is a Scilab 5 toolbox for stable inversion of linear time-invariant systems. The inverses are optimal in the sense that some norm criterion is minimized. Decision delays are also implemented for some cases. The goal of this toolbox is to provide a collection of test matrices. The current toolbox is able to generate the following matrices: * dingdong * Hadamard * inverse Hilbert * Hilbert * magic * Toeplitz * Candermonde * Pascal * border * Cauchy * circul * diagonali * Frank * Hankel * identity * Moler * Rosser * urandom * Wilkinson The toolbox contains the functions mminfo, mmread and mmwrite for reading and writing matrices on Matrix Market formatted files. This toolbox is collection of some theory in Max Plus Algebra. Examples: * finding solution Ax=Ay, Cx=Dy in maxplus algebra * finding eigenvalue and eigenvector in maxplus algebra * possible eigenvalue and eigenvector of interval matrice over maxplus algebra * maxplus cyle time vector, and many more The Markov Decision Processes (MDP) toolbox proposes functions related to the resolution of discrete-time Markov Decision Processes : finite horizon, value iteration, policy iteration, linear programming algorithms with some variants. Metanet is a toolbox of Scilab for graphs and networks computations. MinGW Compiler support for Scilab 5.3 and more on Windows There are 2 functions. log_fir() calculates phase of a minimum phase function having specified gain. It utilizes the fact that exp(a0+a1/z+a2/z^2+..) is the minimum phase function. The gain is exp(a0+a1*cos(w)+..) and the phase is exp(-(a1*sin(w)+..)). So by selecting a0,a1,.. from the specified gain, the phase can be obtained. piir() calculates the stable IIR filter from the specified phase. The method is shown in. M.Kisaka: Phase design of an IIR filter and its application to an inverse system, Proceeding of the 2006 IEEE international conference on control system,Munich, Germany,Oct.2619/2622(2006) "Scilab pour les lycées" est un module dédié pour les lycées (only in French). Il contient 56 fonctions pour le travail en classe du secondaire dans les domaines de l'arithmétique, des probabilités, des statistiques et des This toolbox allows to approximate a given model, which is associated with input random variables. The module provides the following components : * “nisp” provides function to configure the global behaviour of the toolbox. This allows to startup and shutdown the library, configure and quiery the verbose level or initialize the seed of the random number generator. * “randvar” is the class which allows to manage a random variable. Various types of random variables are available, including uniform, normal, exponential, etc... * “setrandvar”, is the class which allows to manage a set of random variables. Several methods are available to build a sampling from a set of random variables. We can use, for example, a Monte-Carlo sampling or a Sobol low discrepancy sequence. This feature allows to use the class as Design of Experiment tool (DOE). * “polychaos” is the class which allows This module is dedicated to network topology analysis for academic and research studies. It has been designed at the University of Luxembourg withing the Interdisciplinary Centre for Security, Reliability and Trust (Snt). The Centre carries out interdisciplinary research and graduate education in secure, reliable, and trustworthy ICT systems and services (http://wwwfr.uni.lu/interdisciplinary_centre_for_security_reliability_and_trust). This work was carried out as a part of the European Project EFIPSANS (http://www.efipsans.org). This module is an enhanced version of the toolbox NTG2.0 that run on Scilab 4.1.2. NTG3.0 is running on Scilab 5.2.1 (or >=). New functionalities have been added in order to enrich the capabilities of the module. NTG3.0 permits to generate random topologies in order to study the impact of routing algorithms on the effectiveness of transmission The goal of this toolbox is to provide several Number theory related algorithms. The following is a list of the current features: * primality test with * fast mass division * various uses of congruences * probable primality test with Miller-Rabin test * pseudo-prime test * greatest common divisor with * naive recursive or iterative Euclid's algorithm * brute force search for divisors * binary recursive or iterative algorithm * linear equation solver ax+by=d by extended Euclid's algorithm * least common multiple * list of primes lower than by either naive or fast Erathostene's sieve * factoring into primes by * either naive or fast trial division * Fermat's difference of squares * Pollard-rho * solver for linear equation ax = b mod m * modular inverse * power of an OPC client for Scilab (Windows) OPC is a set of standard OLE/COM interface protocols established by the OPC Foundation. The aim of OPC is to foster greater interoperability between automation/control applications, field systems/devices, and business/office applications in the process control industry. This toolbox for Scilab support OPC interface to exchange data with many software and hardware which also supporting OPC interface. see http://en.wikipedia.org/wiki/OLE_for_process_control for more informations. Purpose These Scilab files are implementations of the algorithms from the book 'Iterative Methods for Optimization', published by SIAM, by C. T. Kelley. The book, which describes the algorithms, is available from SIAM (service@siam.org). This toolbox provide the following algorithms: * optkelley_bfgswopt: Steepest descent/bfgs with polynomial line search. * optkelley_cgtrust: Steihaug Newton-CG-Trust region algorithm. * optkelley_diffhess: Compute a forward difference Hessian. * optkelley_dirdero: Finite difference directional derivative. * optkelley_gaussn: Damped Gauss-Newton with Armijo rule. * optkelley_gradproj: Gradient projection with Armijo rule, simple linesearch * optkelley_hooke: Hooke-Jeeves optimization. * optkelley_imfil: Unconstrained implicit filtering. * optkelley_levmar: Levenberg-Marquardt. * optkelley_mds: Multidirectional This library is supposed to help you to make plots as if you were using Matlab. Version 0.42 includes new macros (image, imagesc). By default all plotlib function names are defined with a leading underscore, for example _gcf, _gca, _plot, _surf, ... in order to differentiate these plotlib functions from the original scilab functions having the same name. If you want to use the classical names without underscores, which will break some native Scilab graphic functions, just add the line plotlibmode in your .scilab file, which can be edited by This toolbox defines linear quadratic programming solvers. The matrices defining the cost and constraints must be full, but the quadratic term matrix is not required to be full rank. This simple GUI allows the user to quickly view the response of a given tranfer function (SISO System) on different close loop gain by adjusting the slider. The user could also implement their on controller on the forward path by keying in the tranfer function of the controller. COBYLA is a derivative free non linear constrained optimization method. Sci2C is a tool capable to translate Scilab code into C code. It is a standalone toolbox of Scilab and it has been primarily developed to become the interface between the Scilab scientific software package and the hArtes design flow. The output C code is in a plain style and does not include any part of the Scilab interpreter thus making it small, efficient and easy to interface to the hArtes tool chain. In other words, the generated C code is standalone and minimal in the sense that Scilab interpreter is no longer needed and only the minimal number of C files which are necessary to execute the application are generated. It follows that the generated code can be embedded in processors or used as entries for other software. Sci2C is implemented in Scilab language, so it naturally becomes a Scilab toolbox available in the Scilab installation program and consequently it can be scipad (atoms format) This the simplex optimization method which performs optimization of non linear function. This optimization method doesn't use the derivative of the objective function. There is 2 versions of the simplex: - optim_nelder_mead: a classic script for optimization - step_nelder_mead: the call to the objective function is done outside of the script. Scilab needs a powerful image 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. Read & write sound files format wrapper on multiplatform C library sndfile http://www.mega- nerd.com/libsndfile/ supported format (read & write): Ogg Vorbis (Xiph Foundation) FLAC 16 bit AIFF (Apple/SGI 16 bit PCM) AIFF (Apple/SGI 32 bit float) AIFF (Apple/SGI 8 bit PCM) AU (Sun/Next 16 bit PCM) AU (Sun/Next 8-bit u-law) CAF (Apple 16 bit PCM) OKI Dialogic VOX ADPCM WAV (Microsoft 16 bit PCM) WAV Here is a SOCKET toolbox for Scilab. This toolbox enables communications between an instrument or server located via TCPIP protocol and Scilab. This Toolbox was ported from the Time-Frequency Toolbox http://tftb.nongnu.org/. The Time-Frequency Toolbox in C was also ported to scilab: http://www-lagis.univ-lille1.fr/~davy/toolbox/Ctftbeng.html The toolbox contains numerous algorithms which implements various kind of time-frequency analysis with a special emphasis on quadratic energy distributions of the Cohen and affine classes, along with their version enhanced by the reassignment method. The toolbox also includes signal generation procedures, processing/post- processing routines (with display utilities) and a number of demonstrations. Here you will find some notes on time-frequency analysis: http://www.math.nmsu.edu/~jlakey/tfa_notes.html 1.2 - some bugs are removed - sci_gateway added (Ctftb was ported to scilab) - new demos 1.1.1 - some bugs are removed 1.1 - some bugs are removed - tftb_window can be plotted - frspec and frpowerspec added Stixbox-1.2.5 is a statistics toolbox designed for the french examination agregation de mathematiques. This toolbox is based on the toolbox by Anders Holtsberg with extensions from the Paris Sud University. This toolbox is aimed to mimic matlab wavelet toolbox. Most of the functions are similiar to their counterparts in Matlab equivalents. 0.1.11 + Add unit_tests, some macros are removed, some bug fixes 0.1.10 + Add scal2frq, centfrq, cwtplot, wavedecplot 0.1.9 + Add denoise funtions: wden, wnoisest, wthresh, wnoise, thselect, ddencmp 0.1.8 + bug fixes for scilab 5, transformation of the help files 0.1.7 + works under scilab 5 Test the Atoms system It contains 4 functions : - t1_version() - t1_function1() - t1_function2() - t1_function3() Purpose The goal of this toolbox is to provide unconstrained optimization problems in order to test optimization algorithms. The More, Garbow and Hillstrom collection of test functions is widely used in testing unconstrained optimization software. The code for these problems is available in Fortran from the netlib software archives. The port from Fortran to Matlab was done by two undergraduate students at Brooklyn College, Livia Klein and Madhu Lamba, under the supervision of Chaya Gurwitz. Benoit Hamelin did the port from Matlab to Scilab v4 with m2sci and did some manual tuning of the result. Michael Baudin did the port from Scilab v4 to Scilab v5. I renamed the functions to avoid naming conflicts. I formatted the help pages to generate automatically the xml from the sources. Features Provides 35 unconstrained optimization problems. Writes datas to an Excel 2003 xml (OOo calc) file on any platforms. This module provides functions to help you to convert your old Scilab XML help files to the new Docbook based format.

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