Showing 4 open source projects for "php binary tree"

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  • 1
    Delphi : VRCalc++ OOSL (Script) and more

    Delphi : VRCalc++ OOSL (Script) and more

    Delphi : VRCalc++ OOSL & + (Paged List, TextEditor, VRAstroVision ...)

    Vincent Radio {Adrix.NT} Sources Library & Applications : Delphi C++ Java VRCalc++ C# VRCalc++ Object Oriented Scripting Language - Engine Source Pascal Code - Delphi Packages Build Prjs - VRCalc++ Scripted System Std RT Library - Guides & Docs (CHM, PDF, DOCX) - VCL & FMX (FireMonkey) Support - Script Test Code (Lang RTL VCL FMX) - Visual Stage Project : VCL & FMX Paged Lists & Iterators : Delphi C++ Java C# Multi-Dim Arrays & Direct Graph Classes : Delphi C++ Java VRCalc++...
    Downloads: 3 This Week
    Last Update:
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  • 2
    XML Tree Editor

    XML Tree Editor

    Basic cross-platform tree view XML editor

    XMLTreeEdit displays XML files as tree views and allows basic operations: adding, editting and deleting text nodes and their attributes. The main goal is providing a simple tool to create/edit XML configuration files for users without knowledge of XML. Built in Free Pascal Lazarus, which allows easy compilation for different target platforms. Currently binary executables were produced and tested on Windows (XP, 7) and Ubuntu Linux (GTK2).
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    Downloads: 54 This Week
    Last Update:
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  • 3
    PAS2PHP

    PAS2PHP

    Transpiles/Converts Pascal to Working PHP Source Code

    ...The key to coding for PAS2PHP is to understand the limitations of PHP. Read the example code provided, and always check the outputed PHP code to understand how this works. As a guide to what PAS2PHP can achieve... my web site is written in Pascal, and then converted to PHP. (The code is in the source package). PAS2PHP uses the Pascal Parse Tree Classes (PasTree) which comes with FreePascal, and therefore the parsing limits are defined by this library.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Neural Libs

    Neural Libs

    Neural network library for developers

    This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
    Downloads: 0 This Week
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