Advanced Maths Library Integers and real rumbers, complex and hyper-complex numbers
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Advanced Maths Library Ranking & Summary

Advanced Maths Library Tags

Library number math Math Library complex equation complex queries complex arpeggio Complex grid complex complex Kaleidoscope complex numbers complex formula complex examination Whole Numbers and Integers Integers complex sum complex number complex functions Complex Dependencies Integer Number simplify complex task complex macro complex parse task solver complex algorithm complex calculation use complex entity model complex task complex environment test complex behavior Complex Array complex exponential complex orbital multiply complex numbers complex layout dynamical complex network complex experiments analysis interpret complex experiment Complex Operation complex merge scenario explore complex function complex function explorer evaluate protein complex protein complex prediction view protein complex complex substitution model Handle Complex Numbers complex spatial function complex function plotter complex network model complex sports Complex Schedules complex schemas

Advanced Maths Library Description

The Advanced Maths DLL itself contains many maths mappings in it, easily over 300. Many of these maths mappings have been hand crafted in assembler (Intel, though each "massaged" function has a standard C++ counter part in the sources) to optimise their speed.The Maths DLL directly supports: · Integers and real numbers (1-d). · Complex numbers (2-d). · Hyper-complex numbers (4-d). · Quaternions (4-d). · Any other 4-dimensional commutative ring with unity via tensor transformations. · 2x2, 4x4, 5x4 and pxq Matrices (2, 4 & n-dimensions). · 4- and n-Vectors (4 & n-dimensions). · Spherical polars (4-d). Although the Advanced Maths Library was primarily designed for generating fractals, the wide range of functions in it vary from the most basic (raising integers to powers) to the most complex (a Gamma mapping with a domain and range of the Complex Numbers or n-dimensional matrix transformations) mean it can be applied to any application that requires high speed, accurate mathematics.

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