Hi *, Leonard Mada a écrit : > [...] >> *Thirteen Prevalent Misconceptions about Floating-Point Arithmetic:* >> 3. Arithmetic much more precise than the data it operates upon is >> needless, and wasteful. > > I have concerns that double is not appropriate anymore. It is not > appropriate for Sun, nor for IBM, nor for Google, nor for any > financial institution nor any government. > > Is it possible to use greater precision? And still attain reasonable > speed? > The answer is definitely yes. > > R, Matlab, other financial tools are orders of magnitude faster than > Calc. And work usually with greater precision than Calc anyway. > Therefore, it should be at least theoretically possible to speed up > Calc to work fast enough with higher precision. My 2 cents : it's also technically possible. There is, among others, the libgmp : http://gmplib.org/ . Its job is precisely to adapt storage to the kind of computing needed and to scale well, whatever the number of digit is.
> I am looking forward to see at least the double-extended data type. > And hopefully a long long (long64) integer. And some D(ecimal)-type > functions. And then maybe some IEEE 754r features. And maybe some > other great ideas. And probably I'll complain even then. ;) If you do that, you'll just move the problem, but you won't solve it. Regards, -- Michel Loiseleur --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
