MtxVec v6
Develop with Delphi, C# or C++ and deliver the code speed of assembler.
Comprehensive and fast numerical math library
Support for VS.NET, Embarcadero Delphi and C++ Builder
Statistical and DSP add-ons
Latest News
New release of Dew Debugger Visualizer
Written on
We are happy to announce the availability of Dew Debugger Visualizer v2. The debugger visualizer is a part of the MtxVec product and is available from Rad Studio XE3 forward, if TeeChart support is checked during the installation. Its features and capabilities are best described and demonstrated by the new "Users Manual". Check out new features and bug fixes.
Some of those features are available also for VS.NET users, if they have installed Dew Lab Studio 2024 SDK for .NET
Numerical library for Delphi and .NET developers
Dew Research develops mathematical software for advanced scientific computing trusted by many customers. MtxVec for Delphi, C++ Builder or .NET is alternative for products like Matlab, LabView, OMatrix, SciLab, etc. We offer a high performance math library, statistics library and digital signal processing library (dsp library) for:
- Embarcadero/CodeGear Delphi and C++Builder numerical libraries and components
- Microsoft .NET components -- including Visual Studio add-ons and a .NET numerical library for C++, C#, and Visual Basic
Product Features
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A comprehensive set of mathematical, signal processing and statistical functions
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Substantial performance improvements of floating point math by exploiting the SSE4.2, AVX, AVX2, AVX512 instruction sets offered by modern CPUs.
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Solutions based on it scale linearly with core count which makes it ideal for massively parallel systems.
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Improved compactness and readability of code.
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Support for native 64bit execution gives free way to memory hungry applications
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Significantly shorter development times by protecting the developer from a wide range of possible errors.
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Direct integration with TeeChart© to simplify and speed up the charting.
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No royalty fees for distribution of compiled binaries in products you develop
Optimized Functions
Performance Secrets
Code vectorization
The program achieves substantial performance improvements in floating point arithmetic by exploiting the CPU Streaming SIMD Extensions: SSE4.2, AVX, AVX2 and AVX512 instruction sets. (SIMD = Single Instruction Multiple Data.)