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
Dew Lab Studio 2025
Written on
We are happy to announce availability of Dew Lab Studio 2025 with support for Embarcadero Rad Studio Athens 12.2. This version delivers latest performance optimizations from Intel OneAPI and more improvements to the Debugger Visualizer. This time it was also the DSP Master which received substantial improvements to performance of numerical peak interpolation and management of peaks in the frequency spectrum in general.
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.)