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This aims to supply a Borland Delphi translation of Alan Miller's Random Module for FORTRAN-90. This translation has been done with Dr Miller's approval and is being made FREELY available to all Delphi Developers, though we do ask the Alan Miller and ESB
Consultancy be given due credit.
It includes the following Random Number Generators:
- Normal (Gaussian)
- Gamma
- Chi-squared
- Exponential
- Weibull
- Beta
- t
- Multivariate Normal
- Generalized inverse Gaussian
- Binomial (2 different ones)
- Negative Binomial
- von Mises
- Cauchy
Includes full Delphi Source and Demo.
delphi c- builder random math mathematics stats statistics random numbers normal poisson gaussian
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LeoPicture provides a convenient instrumentation for manipulating images to broad specter of customers from digital photography amateurs to web designers and scientists.
General features:
Open and save image files in *.bmp;*.jpg;*.tif;*.gif;*.png;*.emf;*.exf;*.wmf formats.
Enhance, correct colors, zoom, deform and paint in image.
Select and modify part of image.
Copy/paste image or selected area(s).
Print and print preview images.
Analyze color distribution and symmetry patterns in image and create MS Word report.
Intuitive, colorful, rich and transparent user interface
All intermediate variants of picture are displayed at once in array of thumbnails and any of them can be called to active field by one click.
Flexible and multivariate options for selection of area(s) in picture including automatic take of area around clicked point.
Image enhancement.
Change brightness, contrast, saturation, sharpness, scale up and filter noise of the whole image or selected area(s).
Fill area with transparent color, change color, add and extract color.
Put text label with selected color and font size and face on image.
Fix red eye.
Heal old documents (lines and text).
Spread the color gamma of the picture.
Zoom, change size, rotate, mirror and deform image.
Switch on a lens cursor for close observation of part of area without zooming whole picture.
digital image digital photo image paint image enchantment digital images enhancement painting deformation zooming labeling
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The Matrix ActiveX Component is a useful tool that can simplify the use of matrix operations for mathematical computations in application development.
It provides for matrix operations such as addition, subtraction, multiplication, inversion, transpose, and computation of determinant, LU and Cholesky decompositions. Advanced edition additionally supports QR and Singular Value (SVD) decompositions, Eigenvalue and Eigenvector computation for symmetric and non symmetric matrices.
Advanced II edition now supports operations with complex matrices.
The Matrix ActiveX Component delivers all the speed, numerical stability, robustness and scalability you could ask for, significantly reducing development time and allowing you to focus on the actual goals of your application. Without compromising speed, it uses an object-oriented approach to matrix math computation, it provides you with the Matrix and CMatrix Classes containing all the Properties, Methods that you'll need when deploying your numerical exploration. You may be developing a statistical package, or you might want fast 3D graphics transformations, or you may need to solve simultaneous equations, multivariate linear regressions, or to solve EigenValues and EigenVectors problems, Matrix ActiveX Component can do all of this and more.
matrix math eigenvalues eigenvalue eigenvectors eigenvector qr cholesky lu decomposition svd
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Aura® Is the automated expert system for multivariate statistical forecasting. It combines the unique power of full automated multivariate statistical analysis in unlimited dimensions with the remarkable ease of use. Be you the experienced mathematician or just a novice in forecasting with immediate and very practical goals, Aura® is just for you. It can both offer the instant forecast by one mouse click or expand for you many levels of complicated model trees that stay behind a few final digits.
You can watch accurate and attractive charts, detailed tables and very sophisticated multilevel model descriptions linked with intuitive hypertext links designed not to get you lost in this abundance of models. You can instantly import tremendous amounts of data both from the desktop applications and external databases, analyze them with one mouse click and store to disk with unique speed in native format as well as export results for the further use in many formats.
If you are software developer not interested in these visual features, then even more you can benefit from Aura® power and flexibility, because it offers you many levels of simple and effective open user APIs to access custom data sources, incorporate additional forecasting models, store results in the external databases of your choice or just embed the whole engine into your custom application and enjoy all its power through the customized web interface which best fits your needs.
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Growing collection of advanced forecasting algorithms. Currently implemented:
ARIMA with automatic best parameter set search and smart seasonal trend detection.
Stepwise multivariate regression with the selection of the best regression subset over the whole bar history.
Proven backhistory. Model is recalculated on each historical time step using only those data which were available prior to actual historical trade date, so you see performance exactly same as you would observe on real trades.
Full intraday capable solutions available on the synchronous with datastream basis.
Real-time speed in model training. Models have accuracy comparable to most advanced neural network solvers while retaining the training speed allowing recalculate on the fly.
Ready to use professional style Expert Advisors, Indicators and System Testers.
Open scripts for for writing your own trading strategies using direct algorithmic calls.
Full automated installer integrated with Equis Metastock® versions 7 and 8. Just plug-and-play.
stock market financial forecasting trading prediction collection advanced forecasting algorithms equis metastock
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MadCalc is a full featured graphing calculator application for your PC running Windows. With MadCalc you can graph rectangular, parametric, and polar equations. Plot multiple equations at once. Change the colors of graphs and the background. Use the immediate window feature to evaluate complex multivariate expressions. Teachers can use MadCalc to create handouts for your classroom. Students can use it instead of that tiny calculator screen while you are doing your calculus homework. MadCalc supports all the commonly used functions including trigonometric functions, inverse trigonometric functions, hyperbolic functions, logarithms, and rounding and absolute value functions. MadCalc allows you to export your work as bitmap files for printing or editing. MadCalc allows you to zoom in and out on graphs or set the scale in terms of x and y explicitly or scroll just by clicking on the graph and dragging it. MadCalc provides all the essential graphing functionality without the complexity, cost, or overhead of something like Mathematica or MatLab.
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DataFit is a tool used to perform nonlinear regression (curve fitting), statistical analysis and data plotting. What sets DataFit apart from similar curve fitting and regression programs is its ease of use. DataFit is driven by a well-designed graphical interface, so there are no complicated instructions to remember and no programs to write. Data entry is achieved through a standard spreadsheet interface, which supports ASCII and ODBC data source import, as well as cutting and pasting data from the clipboard. With DataFit, you can perform linear or nonlinear regression on data containing up to 20 independent variables. You can choose from more than 600 pre-defined equations, which are commonly used in statistical, scientific and engineering applications, or create your own equations. Solved equations are sorted according to goodness-of-fit. DataFit also includes forward selection, backward elimination, stepwise selection and manual variable selection modes to help determine which independent variables should be included in your regression model for multivariate datasets. Results include completely customizable 2D and 3D plots, fitted parameters with confidence intervals, input vs. estimated data and goodness-of-fit information. Plots can be saved as templates, which allows them to be applied to new plots in order to instantly give them your own custom appearance. Data tables, supporting interpolation and extrapolation (projections), can be exported in ASCII, Excel or HTML format. You can also automatically export source code in BASIC or C to utilize any solved equation in a program that you have written. Macro capability allows curve fitting operations to be performed non-graphically, either in batch mode or by calling DataFit from an external program. With the combination of an intuitive interface, online help and wide range of features, it is a tool that is used effectively by both beginners and experts.
curve fitting data plotting nonlinear parameter estimation regression statistics math science
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statistiXL is a powerful new data analysis package that runs as an add-in to Windows versions of Microsoft Excel. statistiXL has been entirely designed and written by scientists in order to meet the demanding needs of anyone requiring access to a robust, versatile statistical analysis package that is quick to learn and easy to use. With its wealth of features, Excel provides an ideal environment for data input, manipulation and calculation and by leveraging this familiar environment, statistiXL greatly extends this feature set to encompass high powered statistical analysis without the need to learn how to use an entirely new application from scratch. Data stored in existing spreadsheets can instantly be subjected to a wide range of statistical tests (many frequently not seen in other analysis packages). Tests provided by statistiXL include (but are not limited to), Analysis of Variance, Cluster Analysis, Contingency Tables, Correlation (Simple, Partial, Multiple and Canonical), Linear and Circular Descriptive Statistics, Classification and Grouping Discriminant Analysis, Factor Analysis, Goodness of Fit Tests such as Binomial, Circular, Normal and Poisson, Simple and Multiple Linear Regression, Nonparametric Tests such as Friedman, Kruskal-Wallis and Mann-Whitney, Principal Component Analysis, Univariate and Multivariate t-Tests. statistiXL also produces a wide range of plots including Box and Whisker Plots, Scatter Plots, Clustering Dendrograms, Normal Probability Plots and many others. Numerous options exist for formatting the standard results that are outputted by statistiXL and because these results are placed into Excel spreadsheets, you can use the tools that you are already familiar with to arrange and format textual and graphical output even further, changing fonts, rearranging cells, altering the scale on the axis of a graph etc etc. You can even subject the results to further analysis using either statistiXL or any of Excels numerous built in functions.
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The LAB Fit is a software for Windows developed for treatment and analysis of experimental data. At LABFit program you are able to:
1) Treat similar data (grouped and ungrouped dataset, one or two samples);
2) Treat non-similar data;
3) Determine propagated error (error propagation up to eight independent variables);
4) Plot 2D and 3D graph (normal, parametric, imported dataset, contour of maps);
5) Execute math calculations (system of linear equations, roots of function, non-linear equation, ordinary differential equation - ODE up to fifth order, system of differential equations - up to five first order ODE, calculator, etc);
6) Extract data (x;y) from a 2D graph (digitizing);
7) Curve Fit (almost 500 functions at the library, with 1 and 2 independent variables, functions finder, option that let you write the fit function, rejection of data, confidence and prediction bands).
The LAB Fit has a menu for curve fitting and the main programs of this menu use nonlinear regression. The LABFit fits functions of one and several independent variables (from 1 up to 6), admitting uncertainties at the dependent variable (Y) and also at the independent variables (X). At the LAB Fit library there are more than 200 functions of one independent variable and almost 280 functions with two independent variables. The user disposes of a finder functions program. If necessary, there is an option so that the user can write its own fit function. Once determined the fit parameters, it's possible to extrapolate the fit function and, for the 2D and 3D cases, the graph of the obtained function is shown. For the 2D case, beyond the extrapolation possibility, the user can even include error bars and confidence bands to the graph. The LAB Fit has also a menu destined to the treatment of similar data, non-similar data and error propagation. Beyond that, there is a third menu with general tools like to plot a function informed by user.
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