I expect you could tweak the "gradient reduction factors" to e.g. generate shallower stops, reduce the "repetitive diving" penalty, etc., but there was only one person on the planet who understood exactly how to tweak them to the desired effect.
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It's tech. Something better is always going to come along. If you were happy with the price and features at purchase, it's a win.Unfortunately…I bought a lightly used Genius and transmitter from my LDS 2 months ago on deep discount before this was announced.
They came out with a new transmitter too for the Sirius that isn’t backward compatible and the Genius transmitter is not forward compatible.
Us Genius AI owners just got boxed out of the future. Doh!
Sure. If it's really better. In this case, it's not exactly clear that something is better. It uses a different battery, but otherwise seems to perform the same basic function. I'm not sure I understand why this is necessarily better, and if it is indeed better, why couldn't it be backwards compatible.It's tech. Something better is always going to come along. If you were happy with the price and features at purchase, it's a win.
Uh, what has it got to be with the "late" part? Like Buhlman passed away so many years before Wienke, and the algorithm bearing his name was developed in the 60s, a modification on Haldane's theory from more than a 100 years ago?If you look closely I think you'll find that all those brands' algorithms were developed in collaboration with the late Dr. Wienke. I am guessing the "late" part there makes it difficult for them to update the models to the newer thinking, and quite possibly: even to update the code to the newer hardware.
There is an alternative that happens to be everybody's darling du jour, is royalty-free, and is pretty straightforward to implement. What's a vendor to do?
These works are all published and well established- some basic equations, it is not some smartphone app that needs updating and some periodical coding to iron bugs, whereas implementation to hardware is not as complex as you'd imagine.
I have never seen or heard that the full details of any of the RGBM decompression algorithms by Suunto, Mares, or Cressi are available in the public domain. The general information released by Suunto on their RGBM, Technical RGBM, Fused RGBM, and Fused RGBM 2 algorithms makes it clear that they were all developed with Bruce Wienke.Cite please. Show me where any flavour of RGBM is actually published, then talk.
Cite please. Show me where any flavour of RGBM is actually published, then talk.
Reduced gradient bubble model - PubMed
An approach to decompression modeling, the reduced gradient bubble model (RGBM), is developed from the critical phase hypothesis. The phase limit is introduced, extended, and applied within bubble-nucleation theory proposed by Yount. Much is different in the RGBM algorithm, on both theoretical...pubmed.ncbi.nlm.nih.gov
-- VPM AlgorithimEven today, in 2004, it can be demonstrated from commercial programs that the "full-up" RGBM is still underpinned by Yount and Hoffman's iterative algorithm. With the wide distribution of open source VPM, Wienke was placed under pressure to differentiate his product by customers who had paid for material that could be obtained virtually for free. Since 2002, this has resulted in a new RGBM model, publicized in dive industry print and venues.
Buhlmann with gradient factors, presets or presets and custom is expanding rapidly. It's not only RGBM brands like Suunto and Mares. Some brands have all their computers running Buhlmann, some are just breaking in with new models. A list, perhaps not complete, includes:... I'd ditch it and go ZH-L too,..