Edward Lorenz, Father of Chaos Theory, Dies at 90 104
An anonymous reader writes "Professor Edward N. Lorenz, who discovered in 1961 that subtle changes in the initial conditions of a weather simulation program could cause very large differences in its results, died of cancer Wednesday at the age of 90. The contributions of the father of chaos theory, who coined the term 'the butterfly effect' and also discovered the Lorenz Attractor, are best summarized by the wording of the Kyoto Prize in 1991 which noted that his discovery of chaos theory 'profoundly influenced a wide range of basic sciences and brought about one of the most dramatic changes in mankind's view of nature since Sir Isaac Newton.'"
Re:Died of cancer... but why? (Score:4, Informative)
A great man whose contributions will be remembered for centuries to come has passed. I think I'm going to fire up a fractal generator and play with Lorenz Attractors now.
Overrated (Score:5, Informative)
Re:Overrated (Score:5, Informative)
1. Robotics. Most of academic robotics is pretty lame. The good people go into industry. Consider for example Michael Raibert and Big Dog. (Look on youtube.) This guy is a true genius, so he left MIT. Most robotics that you see in the media are really bad. Like Alan Alda talking to a robot that "has emotions".
2. Wavelets. First of all, was invented a long time ago. Its just another choice of basis. Not clear if they are the best for compression or denoising. Look closely and you will see that classical harmonic analysis provides a good competing answer. Jpeg2000 may be better than jpg but not clear if it is due to the use of wavelets, or because of the fact that they had like 40 people working on the lossless coding scheme, which is an ad hoc heuristic. And besides, how many of us are using jpg2000 ? Finally, people I know that work in it say "I just use the haar basis". Haar found this basis in something like 1912.
3. Chaos. By definition hard to appy to experimental science. As mention the mathematical theory is super hard. McMullen won a Fields medal for it. Work by Sullivan and Duordy is awesome, but they aren't claiming to connect it to experiments.
4. Catastrophe theory. This was the 60s and 70s version of wavelets. Hardly mentioned in the media anyone, and mostly the people who work on it are pure mathematicians.
5. Artificial intelligence. Goedel Escher Bach had our hopes up. But nothing ever happened. It' too hard. People claim breakthoughs all the time, but wheres the beef ?
6. Computer vision. A total mess. They don't even read each others papers and are busy reproducing each other's work, with tends to be some hacks that work only in limited conditions. Remember the MIT face recognition program after 9/11 that was at the Statue of Liberty ? They failed it!
"flow "- not form fluid dynamics (Score:5, Informative)
Re:Overrated (Score:2, Informative)
1. Robotics. Most of academic robotics is pretty lame. The good people go into industry. Consider for example Michael Raibert and Big Dog. (Look on youtube.) This guy is a true genius, so he left MIT. Most robotics that you see in the media are really bad. Like Alan Alda talking to a robot that "has emotions".
2. Wavelets. First of all, was invented a long time ago. Its just another choice of basis. Not clear if they are the best for compression or denoising. Look closely and you will see that classical harmonic analysis provides a good competing answer. Jpeg2000 may be better than jpg but not clear if it is due to the use of wavelets, or because of the fact that they had like 40 people working on the lossless coding scheme, which is an ad hoc heuristic. And besides, how many of us are using jpg2000 ? Finally, people I know that work in it say "I just use the haar basis". Haar found this basis in something like 1912.
3. Chaos. By definition hard to appy to experimental science. As mention the mathematical theory is super hard. McMullen won a Fields medal for it. Work by Sullivan and Duordy is awesome, but they aren't claiming to connect it to experiments.
4. Catastrophe theory. This was the 60s and 70s version of wavelets. Hardly mentioned in the media anyone, and mostly the people who work on it are pure mathematicians.
5. Artificial intelligence. Goedel Escher Bach had our hopes up. But nothing ever happened. It' too hard. People claim breakthoughs all the time, but wheres the beef ?
6. Computer vision. A total mess. They don't even read each others papers and are busy reproducing each other's work, with tends to be some hacks that work only in limited conditions. Remember the MIT face recognition program after 9/11 that was at the Statue of Liberty ? They failed it!
I'll talk about only what I know. In biology, from eco-systems to cellular processes, one sees a lot of non-linear dynamics, many of those appearing to conform to chaos theory. Chaos theory is beleived to be the closest thing we have to explaining those phenomenon. And yes, it is challenging.
An experiment (Score:5, Informative)
Re:Father of chaos theory? (Score:1, Informative)
Re:Overrated (Score:3, Informative)
I agree that a lot of chaos work produced not much more than chaos. But sometimes a paper can tell you what results to discard out of hand and that in itself is a contribution. From his seminal 1963 paper [allenpress.com],
Fractint (Score:2, Informative)
http://www.fractint.org/ [fractint.org]