It optimized a matrix multiplication ... s algorithm from 1969 for the first time in that setting.” The breakthrough allows two 4×4 complex-valued matrices to be multiplied using 48 scalar ...

Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer ...

Imagine you are using the European transportation network and looking for the fastest and cheapest route to move as many goods as possible from Copenhagen to Milan. Kyng's algorithm can be applied ...

This study proposes a sub-band division algorithm for astronomical ultra-wide bandwidth signals based on RFSoC, whose flow chart is shown in Figure 1 ... with a length of 20, using the WFFT (Winograd ...

The O(parameter count) complexity in the algorithms mean that you have to make the matrices exponentially bigger to get incremental improvement.

It may seem like an obscure problem, but matrix multiplication is a fundamental computational operation. It’s incorporated into a large proportion of the algorithms people use every day for a variety ...

Using a new ... way to do matrix multiplication, a core problem in computing that affects thousands of everyday computer tasks. It has also found a way to speed up a key algorithm used in ...

To this end, [Ken Shirriff] set about reverse engineering the 8086’s multiplication algorithm. [Ken]’s efforts were achieved by using die photos of the 8086 chip. Taken under a microscope ...

[Click on image for larger view.] Figure 1: Traveling Salesman Problem Using an Evolutionary Algorithm in Action This article assumes you have intermediate or better programming skill but doesn't ...