Re: [SPAM] Re: [flexcoders] Re: decimal numbers in financial applications

2006-08-18 Thread Samuel D. Colak
Title: Re: [SPAM] Re: [flexcoders] Re: decimal numbers in financial applications





Read the WIKI on floating multiplication particularly towards the bottom. Thats the reason why you get an error during arithmetic operations.

As I said, usually FP is 2^64-1 (double precision) - single is 2^32-1 and used most of the time unless specified  hence long (datatype) single (datatype) under c/c#/c++.

Since flash (I believe) was coded ontop of c++, it depends on the mapping between datatypes as to which one prevails most of the time. Long / double precision numbers take a hell of a lot of cpu processing (hence the release of celeron processors of intel using a less intensive FPU)  I could understand why its not the default type.

Matt  the datatype NUMBER  how is this translated into a datatype such as long etc?

Regards
Samuel 


On 18/8/06 03:54, Gordon Smith [EMAIL PROTECTED] wrote:

 



 Normally this is guaranteed to 2^64 1 

The Number data type is based on the IEEE-754 double-precision standard. It uses 64 bits to store a floating point number.

However, only 52 bits are used for the binary significand; 11 are for the binary exponent, and 1 is for the sign. So it cannot store integers up to 2^64 -1 exactly; only up to 2^52 - 1. It can of course also store some integers (and non-integers) much larger than 2^64 - 1, such as 1e100.

- Gordon






From: flexcoders@yahoogroups.com [mailto:[EMAIL PROTECTED] On Behalf Of Samuel D. Colak
Sent: Thursday, August 17, 2006 3:58 PM
To: flexcoders@yahoogroups.com
Subject: Re: [SPAM] Re: [flexcoders] Re: decimal numbers in financial applications
 


Guys,

FP precision is based upon the machine capabilities. Normally this is guaranteed to 2^64 1 as FP is usually encoded using 2*32 bit registers on mac and on PC 32 bit. Big or Small Edian aside, the IEEE ratification is standard amongst all OS platforms however some have extended the format to cater for there own nuances. 

Try http://www.psc.edu/general/software/packages/ieee/ieee.html

Now when you perform arithmetic on 2 DP numbers, there are some failures which occur. Check out http://en.wikipedia.org/wiki/Floating_point for why.

Regards
Samuel

PS. So it isnt a fault with flexs use of the data type  it is just inherent to all OSs.


On 17/8/06 23:20, Anatole Tartakovsky [EMAIL PROTECTED] wrote:





Ryan,
With double, precision should not be an issue - usually money datatype is limited to 18 digits and in most practical applications is limited to 11-12 digits. If you work with doubles (16+ correct digits) t would take quite a few operations to get precision under 12 digits. In terms of individual operations, in order to get 1 cent rounding error for the original case 

1.9199289457264239899814128875732421875 * amount, the amount has to be over 
50. 

You decide if it is practical or not 

Regards,
Anatole



On 8/17/06, ryanm [EMAIL PROTECTED] wrote: 
 Apparently you acknowledge that it would work but need to keep BigDecimal
 for other reasons.

I get the impresson that they want some calculations to be done real 
time on the client, and for that a BigDecimal object would be needed in the 
client as well as on the server.

ryanm 






 
 




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RE: [SPAM] Re: [flexcoders] Re: decimal numbers in financial applications

2006-08-18 Thread Gordon Smith












You seem to be confused about integer data
types versus floating-point data types. 



ActionScript supports three numeric data types:



 int: a signed 32-bit
integer

 uint:: an unsigned
32-bit integer

 Number: a 64-bit
floating-point number, the same as a double in Java



ActionScript does not have a 64-bit integer
type, or a 32-bit floating-point type (a float in Java).



A Number/double takes up 64 bits, but the value
2^64 - 1 has no relevance to the Number type. A Number cannot even store this value
exactly.



2^64 - 1 is the largest value that can be
stored in an unsigned 64-bit integer data type. But that isn't what a Number is,
and ActionScript doesn't have a 64-bit integer data type.



Similarly, 2^32 - 1 is the largest value
that can be stored in an 32-bit integer data type (uint). But it can't even be
stored exactly by a float.



- Gordon











From: flexcoders@yahoogroups.com [mailto:flexcoders@yahoogroups.com] On Behalf Of Samuel D. Colak
Sent: Friday, August 18, 2006
12:27 AM
To: flexcoders@yahoogroups.com
Subject: Re: [SPAM] Re:
[flexcoders] Re: decimal numbers in financial applications











Read the WIKI on floating
multiplication particularly towards the bottom. Thats the reason why you
get an error during arithmetic operations.

As I said, usually FP is 2^64-1 (double precision) - single is 2^32-1 and used
most of the time unless specified  hence long (datatype) single
(datatype) under c/c#/c++.

Since flash (I believe) was coded ontop of c++, it depends on the mapping
between datatypes as to which one prevails most of the time. Long / double
precision numbers take a hell of a lot of cpu processing (hence the release of
celeron processors of intel using a less intensive FPU)  I could
understand why its not the default type.

Matt  the datatype NUMBER  how is this translated into a datatype
such as long etc?

Regards
Samuel 


On 18/8/06 03:54, Gordon Smith [EMAIL PROTECTED]com
wrote:







 Normally this is guaranteed to 2^64 1 

The Number data type is based on the IEEE-754
double-precision standard. It uses 64 bits to store a floating point number.

However, only 52 bits are used for the binary significand; 11 are for the
binary exponent, and 1 is for the sign. So it cannot store integers up to 2^64
-1 exactly; only up to 2^52 - 1. It can of course also store some integers (and
non-integers) much larger than 2^64 - 1, such as 1e100.

- Gordon








From: [EMAIL PROTECTED]ups.com
[mailto:flexcoders@yahoogroups.com]
On Behalf Of Samuel D. Colak
Sent: Thursday, August 17, 2006
3:58 PM
To: [EMAIL PROTECTED]ups.com
Subject: Re: [SPAM] Re:
[flexcoders] Re: decimal numbers in financial applications



Guys,

FP precision is based upon the machine capabilities. Normally this is
guaranteed to 2^64 1 as FP is usually encoded using 2*32 bit registers
on mac and on PC 32 bit. Big or Small Edian aside, the IEEE ratification is
standard amongst all OS platforms however some have extended the format to
cater for there own nuances. 

Try http://www.psc.edu/general/software/packages/ieee/ieee.html

Now when you perform arithmetic on 2 DP numbers, there are some failures which
occur. Check out http://en.wikipedia.org/wiki/Floating_point
for why.

Regards
Samuel

PS. So it isnt a fault with flexs use of the data type  it is
just inherent to all OSs.


On 17/8/06 23:20, Anatole Tartakovsky anatole.tartakovsky@gmail.com
wrote:








Ryan,
With double, precision should not be an issue - usually money
datatype is limited to 18 digits and in most practical applications is limited
to 11-12 digits. If you work with doubles (16+ correct digits) t would take
quite a few operations to get precision under 12 digits. In terms of individual
operations, in order to get 1 cent rounding error for the original case 

1.9199289457264239899814128875732421875 * amount, the
amount has to be over 
50. 

You decide if it is practical or not 

Regards,
Anatole



On 8/17/06, ryanm
[EMAIL PROTECTED]net wrote: 
 Apparently you acknowledge that it would work but need to keep BigDecimal
 for other reasons.

I get the impresson that they want some calculations to be done real 
time on the client, and for that a BigDecimal object would be needed in
the 
client as well as on the server.

ryanm 






















__._,_.___





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Re: [SPAM] Re: [flexcoders] Re: decimal numbers in financial applications

2006-08-17 Thread ryanm
 Apparently you acknowledge that it would work but need to keep BigDecimal
 for other reasons.

I get the impresson that they want some calculations to be done real 
time on the client, and for that a BigDecimal object would be needed in the 
client as well as on the server.

ryanm 



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Re: [SPAM] Re: [flexcoders] Re: decimal numbers in financial applications

2006-08-17 Thread Anatole Tartakovsky



Ryan,
With double, precision should not be an issue - usually money datatype is limited to 18 digits and in most practical applications is limited to 11-12 digits. If you work with doubles (16+ correct digits)t would takequite afew operations to get precision under 12 digits. In terms of individual operations, in order to get 1 cent rounding error for the original case


1.9199289457264239899814128875732421875 * amount, the amount has to be over 
 50. 

You decide if it is practical or not 

Regards,
Anatole

On 8/17/06, ryanm [EMAIL PROTECTED] wrote:







 Apparently you acknowledge that it would work but need to keep BigDecimal for other reasons.
I get the impresson that they want some calculations to be done real time on the client, and for that a BigDecimal object would be needed in the client as well as on the server.ryanm 

 

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Re: [SPAM] Re: [flexcoders] Re: decimal numbers in financial applications

2006-08-17 Thread Samuel D. Colak
Title: Re: [SPAM] Re: [flexcoders] Re: decimal numbers in financial applications






Guys,

FP precision is based upon the machine capabilities. Normally this is guaranteed to 2^64 1 as FP is usually encoded using 2*32 bit registers on mac and on PC 32 bit. Big or Small Edian aside, the IEEE ratification is standard amongst all OS platforms however some have extended the format to cater for there own nuances. 

Try http://www.psc.edu/general/software/packages/ieee/ieee.html

Now when you perform arithmetic on 2 DP numbers, there are some failures which occur. Check out http://en.wikipedia.org/wiki/Floating_point for why.

Regards
Samuel

PS. So it isnt a fault with flexs use of the data type  it is just inherent to all OSs.


On 17/8/06 23:20, Anatole Tartakovsky [EMAIL PROTECTED] wrote:

 



Ryan,
With double, precision should not be an issue - usually money datatype is limited to 18 digits and in most practical applications is limited to 11-12 digits. If you work with doubles (16+ correct digits) t would take quite a few operations to get precision under 12 digits. In terms of individual operations, in order to get 1 cent rounding error for the original case 

1.9199289457264239899814128875732421875 * amount, the amount has to be over 
50. 

You decide if it is practical or not 

Regards,
Anatole



On 8/17/06, ryanm [EMAIL PROTECTED] wrote: 
 Apparently you acknowledge that it would work but need to keep BigDecimal
 for other reasons.

I get the impresson that they want some calculations to be done real 
time on the client, and for that a BigDecimal object would be needed in the 
client as well as on the server.

ryanm 









__._,_.___





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RE: [SPAM] Re: [flexcoders] Re: decimal numbers in financial applications

2006-08-17 Thread Gordon Smith












 Normally this is guaranteed to 2^64 1 



The Number data type is based on the
IEEE-754 double-precision standard. It uses 64 bits to store a floating point
number.



However, only 52 bits are used for the
binary significand; 11 are for the binary exponent, and 1 is for the sign. So it
cannot store integers up to 2^64 -1 exactly; only up to 2^52 - 1. It can of
course also store some integers (and non-integers) much larger than 2^64 - 1,
such as 1e100.



- Gordon











From: flexcoders@yahoogroups.com [mailto:flexcoders@yahoogroups.com] On Behalf Of Samuel D. Colak
Sent: Thursday, August 17, 2006
3:58 PM
To: flexcoders@yahoogroups.com
Subject: Re: [SPAM] Re:
[flexcoders] Re: decimal numbers in financial applications












Guys,

FP precision is based upon the machine capabilities. Normally this is
guaranteed to 2^64 1 as FP is usually encoded using 2*32 bit registers
on mac and on PC 32 bit. Big or Small Edian aside, the IEEE ratification is
standard amongst all OS platforms however some have extended the format to
cater for there own nuances. 

Try http://www.psc.edu/general/software/packages/ieee/ieee.html

Now when you perform arithmetic on 2 DP numbers, there are some failures which
occur. Check out http://en.wikipedia.org/wiki/Floating_point
for why.

Regards
Samuel

PS. So it isnt a fault with flexs use of the data type  it is
just inherent to all OSs.


On 17/8/06 23:20, Anatole Tartakovsky anatole.tartakovsky@gmail.com
wrote:







Ryan,
With double, precision should not be an issue - usually money
datatype is limited to 18 digits and in most practical applications is limited
to 11-12 digits. If you work with doubles (16+ correct digits) t would take
quite a few operations to get precision under 12 digits. In terms of individual
operations, in order to get 1 cent rounding error for the original case 

1.9199289457264239899814128875732421875 * amount, the
amount has to be over 
50. 

You decide if it is practical or not 

Regards,
Anatole



On 8/17/06, ryanm
[EMAIL PROTECTED]net wrote: 

 Apparently you acknowledge that it would work but
need to keep BigDecimal
 for other reasons.

I get the impresson that they want some calculations to be done real 
time on the client, and for that a BigDecimal object would be needed in
the 
client as well as on the server.

ryanm 

















__._,_.___





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Re: [SPAM] RE: [flexcoders] Re: decimal numbers in financial applications

2006-08-16 Thread ryanm
 We worked closely with many enterprise customers, including financial
 ones, during our development phase and beta period, and support for
 decimal arithmetic was not a priority for them. I've also read many
 thousands of FlexCoders and Beta list emails during the Flex 1, 1.5, and
 2 cycles, and I recall only a handful raising this issue.

The last app I worked on that dealt with money did all of the money 
calculations on the server side and used asynch calls to get pages of 
precalculated data for display. On the rare occasion that something needed 
to be calculated on the client, I just split the number at the decimal and 
dealt with each piece as an integer.

ryanm 



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