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The Nevron Diagram for .NET is a fully managed, extensible and powerful diagramming framework, which can help you create interactive and feature rich diagram and map solutions in WinForms and ASP.NET projects. The product is based on the solid Model – View – Controller architecture, which ensures the scalability of its object model. The API is designed to be as native and intuitive as possible. Extensive Document Object Model (DOM) helps you model virtually any type of diagram. The DOM implements core diagramming elements - drawing documents, library documents, masters, layers, shapes, groups, connectors, ports etc. You can subclass any DOM element and extend its capabilities. Drawings can be exported to various raster and scalable graphics formats (.png, .bmp, .jpg, etc.). Documents can be serialized in XML, binary and SOAP formats. Lots of automatic layouts. The product has full AJAX support, VS design time support, ESRI map import and provides advanced capabilities for stunning visual impact, which you will not find in any other product - including commercial standalone diagramming applications.
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System Hotkeys
compare diagram
Linear Algebra
circle solver
file system utilities
use case diagram
non linear editing
linear solver
Tickets System
winforms diagram -------------------------
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Nevron Diagram for .NET: http://www.nevron.com/downloads/demos/dotnetvision/dotnetvisiondemo.zip
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The physic of the real world can be formulated into mathematical form using differential equations. Differential equation and systems of differential equations are the natural language trough we can describe any real devices like electronic circuit, automatic controls, elettro-magnetic wave emission or any other engineering problems. The purpose of OpenDDPT project is to build a software that can aids people to build automatically these control devices. The strategy used by this software is based on the concept that differential equations generally are parameters dependent so we can found optimal control parameters using an optimization template. The optimization tool-box used by OpenDDPT is an innovative non-convex second-order method that replaces the hessian structure (the hessian matrix has heavy memory storage and an expensive computational-cost) with directional-derivatives , reducing the second order information computational cost of one order without approximation.Control's local informations (i.e. gradient and it's directional derivate) are found trough an extended form of the back-propagation rule used for neural-network and that new extended form can perform not only weighted-sum and sigmoidal saturations but also multiplication ,addition, time-delay and any non-linearity and it can be used as a generic expression for realizing any non linear discrete time control device.
OpenDDPT: http://openddpt.sourceforge.net/download/download.php
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