OptiVec for Delphi 7 5.2.4

OptiVec for Delphi 6 5.2.4 provides dozens of output settings and features. It is a complete, hand-optimized set of libraries with over 3500 vector and matrix functions, and complex-number math routines. OptiVec contains the fully vectorized forms of all operators and math functions of C/C++/Pascal/Delphi for all integer and floating-point (including complex) data types, plus many other real and complex math functions and routines for statistics, analysis, FFT techniques, curve fitting, interpolations, vector and matrix algebra, matrix decomposition, and graphics.

In parts, OptiVec overlaps with the well-known BLAS and LINPACK libraries, but features an easier nomenclature and a generally more efficient implementation. Learn why vectorized programming pays off on PCs and how the vector functions of OptiVec help you achieve the high performance of vectorized programming in your software.

The vectorized implementation in Assembler makes OptiVec functions, on the average, 2-3 times faster than compiled source code of the same functionality. In many instances, the numerical accuracy is improved as well.

Functions:

1. VectorLib  Vector functions
2. MatrixLib  Matrix functions
3. CMATH  Complex number math functions (also available separately)

Major Features:

1. Debug library, detecting violations of vector / matrix boundaries, allowing to track and avoid resulting memory faults, whose cause previously was very difficult to locate. Read more here.
2. Multi-processor optimized library, scaling with the number of available processor cores. Read here for details and considerations about using OptiVec on multi-processor computers.
3. Compatibility with latest compiler versions 
4. Vectorized form of arithmetic operators and math functions.
5. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular value decomposition, eigenvalues.
6. Fast Fourier Transform techniques for efficient convolutions, correlation analyses, spectral filtering, etc., both one- and two-dimensional.
7. Curve fitting for a wide range of model functions from simple linear regression to non-linear models with multiple data sets.
8. Statistics.
9. Analysis (derivatives, integrals, extrema, interpolation).
10. Graphical representation of data in Cartesian coordinates.
11. Complex number math, both in cartesian and polar format.
    

Requirements: Borland Delphi 7