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Posted to user@commons.apache.org by Phil Steitz <ph...@gmail.com> on 2011/10/23 05:29:41 UTC
[math] Re: binomial random generator
On 10/22/11 8:15 PM, Ahmed Abdeen Hamed wrote:
> Hello friends,
>
> I am using the following code in a program I am writing:
> private static JDKRandomGenerator rg = new JDKRandomGenerator();
> private static RandomDataImpl randBinomial = new RandomDataImpl(rg);
>
> However, it is slowing down things very much. When I replace generator with
> a java.util.Random object it works fine without the performance issues. Is
> that expected with this library? Is there any work around? My programs are
> very time consuming and I have been repeatedly running them. I really need
> some tips if there is anything I can do to enhance the performance.
That depends on how you are using randBinomial above. Can you share
the code that uses randBinomial and what you mean by "replace
generator with a java.util.Random object?" It will also help to
describe what exactly you are trying to accomplish with the code.
Phil
>
> Thanks very much!
> Ahmed
>
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Re: [math] Re: binomial random generator
Posted by Ted Dunning <te...@gmail.com>.
On Sat, Oct 22, 2011 at 8:40 PM, Ahmed Abdeen Hamed <ahmed.elmasri@gmail.com
> wrote:
> ...
> Thanks very much for your quick response. I am doing some simulations that
> produce probailities which are in turn must be compared to certains rates.
> Here is an example of what I am doing:
>
> if (randBinomial.nextBinomial(1, Simulation.MRATE)==1) {
> // the condition can be replaced by the following uncommented condition
> //randM.nextDouble() < Simulation.M_RATE;
>
I see no need to use the fancy binomial generator here. The place that it
becomes interesting is where n >> 1. For your problem, what you have is
really better.
> if (gt[i] == 0) {
> gt[i] = 1;
> } else {
> gt[i] = 0;
> }
>
This can probably be replaced by
gt[i] = 1 - gt[i]
(depending on what the original contents are, that is).
Re: [math] Re: binomial random generator
Posted by Ahmed Abdeen Hamed <ah...@gmail.com>.
Thanks Phil! This was most helpful and it has gotten so much faster than
using the JDK generator. More importantly, I tried 10 experiments and they
didn't break. I have 250 experiments that they must all pass. I will let you
know if I need more assistance. For now, thank you and to everyone who
contributed to this chain!
Ahmed
On Mon, Oct 24, 2011 at 12:58 AM, Phil Steitz <ph...@gmail.com> wrote:
> On 10/23/11 9:51 PM, Ahmed Abdeen Hamed wrote:
> > Hi Phil,
> >
> > Thank you for your response. The answer you provided gave me only half of
> > what I need. The other half is how to get this boolean value with a given
> > probability much the same as nextBonimial?
>
> Sorry, I misread your code. To do that, I would just use
> gen.nextDouble() with a test against Simulation.M_RATE as the
> commented out code does.
>
> Phil
>
Re: [math] Re: binomial random generator
Posted by Phil Steitz <ph...@gmail.com>.
On 10/23/11 9:51 PM, Ahmed Abdeen Hamed wrote:
> Hi Phil,
>
> Thank you for your response. The answer you provided gave me only half of
> what I need. The other half is how to get this boolean value with a given
> probability much the same as nextBonimial?
Sorry, I misread your code. To do that, I would just use
gen.nextDouble() with a test against Simulation.M_RATE as the
commented out code does.
Phil
>
> Thanks very much!
> Ahmed
>
> On Mon, Oct 24, 2011 at 12:19 AM, Phil Steitz <ph...@gmail.com> wrote:
>
>> On 10/22/11 8:40 PM, Ahmed Abdeen Hamed wrote:
>>> Hi Phil,
>>>
>>> Thanks very much for your quick response. I am doing some simulations
>> that
>>> produce probailities which are in turn must be compared to certains
>> rates.
>>> Here is an example of what I am doing:
>>>
>>> if (randBinomial.nextBinomial(1, Simulation.MRATE)==1) {
>>>
>>> // the condition can be replaced by the following uncommented condition
>>>
>>> //randM.nextDouble() < Simulation.M_RATE;
>>>
>>> if (gt[i] == 0) {
>>>
>>> gt[i] = 1;
>>>
>>> } else {
>>>
>>> gt[i] = 0;
>>>
>>> }
>>>
>>> }
>>>
>>> Please let me know if I am using Binomial object and its method
>> correctly.
>>
>> As Ted pointed out, you should not be generating values from the
>> Binomial distribution here. That distribution is for the number of
>> successes in a given number of Bernoulli trials. The degenerate
>> case, where the number of trials is 1, can be much more efficiently
>> handled just generating a random boolean, which can be generated by
>> a RandomGenerator directly. As Luc pointed out, there are better
>> PRNGs in [math] than the JDK-supplied generator. To use, for
>> example, a Well generator, just do
>>
>> RandomGenerator gen = new Well19937c();
>>
>> and then
>>
>> gen.nextBoolean();
>>
>> to generate (pseudo-)random boolean values.
>>
>> Phil
>>
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Re: [math] Re: binomial random generator
Posted by Ahmed Abdeen Hamed <ah...@gmail.com>.
Hi Phil,
Thank you for your response. The answer you provided gave me only half of
what I need. The other half is how to get this boolean value with a given
probability much the same as nextBonimial?
Thanks very much!
Ahmed
On Mon, Oct 24, 2011 at 12:19 AM, Phil Steitz <ph...@gmail.com> wrote:
> On 10/22/11 8:40 PM, Ahmed Abdeen Hamed wrote:
> > Hi Phil,
> >
> > Thanks very much for your quick response. I am doing some simulations
> that
> > produce probailities which are in turn must be compared to certains
> rates.
> > Here is an example of what I am doing:
> >
> > if (randBinomial.nextBinomial(1, Simulation.MRATE)==1) {
> >
> > // the condition can be replaced by the following uncommented condition
> >
> > //randM.nextDouble() < Simulation.M_RATE;
> >
> > if (gt[i] == 0) {
> >
> > gt[i] = 1;
> >
> > } else {
> >
> > gt[i] = 0;
> >
> > }
> >
> > }
> >
> > Please let me know if I am using Binomial object and its method
> correctly.
>
> As Ted pointed out, you should not be generating values from the
> Binomial distribution here. That distribution is for the number of
> successes in a given number of Bernoulli trials. The degenerate
> case, where the number of trials is 1, can be much more efficiently
> handled just generating a random boolean, which can be generated by
> a RandomGenerator directly. As Luc pointed out, there are better
> PRNGs in [math] than the JDK-supplied generator. To use, for
> example, a Well generator, just do
>
> RandomGenerator gen = new Well19937c();
>
> and then
>
> gen.nextBoolean();
>
> to generate (pseudo-)random boolean values.
>
> Phil
>
Re: [math] Re: binomial random generator
Posted by Phil Steitz <ph...@gmail.com>.
On 10/22/11 8:40 PM, Ahmed Abdeen Hamed wrote:
> Hi Phil,
>
> Thanks very much for your quick response. I am doing some simulations that
> produce probailities which are in turn must be compared to certains rates.
> Here is an example of what I am doing:
>
> if (randBinomial.nextBinomial(1, Simulation.MRATE)==1) {
>
> // the condition can be replaced by the following uncommented condition
>
> //randM.nextDouble() < Simulation.M_RATE;
>
> if (gt[i] == 0) {
>
> gt[i] = 1;
>
> } else {
>
> gt[i] = 0;
>
> }
>
> }
>
> Please let me know if I am using Binomial object and its method correctly.
As Ted pointed out, you should not be generating values from the
Binomial distribution here. That distribution is for the number of
successes in a given number of Bernoulli trials. The degenerate
case, where the number of trials is 1, can be much more efficiently
handled just generating a random boolean, which can be generated by
a RandomGenerator directly. As Luc pointed out, there are better
PRNGs in [math] than the JDK-supplied generator. To use, for
example, a Well generator, just do
RandomGenerator gen = new Well19937c();
and then
gen.nextBoolean();
to generate (pseudo-)random boolean values.
Phil
>
> Thanks again!
>
> Ahmed
>
>
> On Sat, Oct 22, 2011 at 11:29 PM, Phil Steitz <ph...@gmail.com> wrote:
>
>> On 10/22/11 8:15 PM, Ahmed Abdeen Hamed wrote:
>>> Hello friends,
>>>
>>> I am using the following code in a program I am writing:
>>> private static JDKRandomGenerator rg = new JDKRandomGenerator();
>>> private static RandomDataImpl randBinomial = new RandomDataImpl(rg);
>>>
>>> However, it is slowing down things very much. When I replace generator
>> with
>>> a java.util.Random object it works fine without the performance issues.
>> Is
>>> that expected with this library? Is there any work around? My programs
>> are
>>> very time consuming and I have been repeatedly running them. I really
>> need
>>> some tips if there is anything I can do to enhance the performance.
>> That depends on how you are using randBinomial above. Can you share
>> the code that uses randBinomial and what you mean by "replace
>> generator with a java.util.Random object?" It will also help to
>> describe what exactly you are trying to accomplish with the code.
>>
>> Phil
>>> Thanks very much!
>>> Ahmed
>>>
>>
>> ---------------------------------------------------------------------
>> To unsubscribe, e-mail: user-unsubscribe@commons.apache.org
>> For additional commands, e-mail: user-help@commons.apache.org
>>
>>
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Re: [math] Re: binomial random generator
Posted by Luc Maisonobe <Lu...@free.fr>.
Le 23/10/2011 09:47, Andy Turner a écrit :
> Hi,
Hello All,
You could also give a try to other random generators provided by Apache
Commons Math. Did you try the Well generators like Well1024a for example
? These generators are tailored towards large simulation like
Monte-Carlo ones.
Luc
>
> Ahmed, I may be doing something similar. I have simulation models driven by probabilities (values between 0 and 1). In this range I used fixed decimal precision probabilities by using BigDecimal. I have written code that does a pseudo random test of a specific value in the range to return true or false. I beleive this is without bias. For example for a test value of 0.75, 25% of the time it is likely to return true. I've copied the test code for this below. It is part of the generic package I have developed which I release via the following URL:
> http://www.geog.leeds.ac.uk/people/a.turner/src/andyt/java/generic/
> (If you go to get the code, please get it from the subversion repository as the bundled release is out of date.)
>
> I have another method that returns a pseudo random BigDecimal at a given decimal place precision within a specified range. This might also be useful to you if you really need to have the value rather than perform a test.
>
> A while ago I offered my code to math (because it does BigDecimal exponentiation). I took some steps towards fullfilling the requirements for its inclusion, but because of other demands on my time, I have not managed to complete this which I am still keen to do this...
>
> I hope this helps. Please let me know if it does. It may be that you are doing something more complicated and this would need adapting to work with non uniform distributions you are using.
>
> Best wishes,
>
> Andy
>
> Here are the two methods I use for the random test, the private one is for internal working:
>
> /**
> * Effectively this is the same as generating a random number between 0 and
> * 1 and comparing it with probability and if it were higher then return
> * false and otherwise return true
> * @param a_Random
> * @param probability 0 <= probability <=1
> * @return true or false based on a random uniform test of probability
> */
> public static boolean randomUniformTest(
> Random a_Random,
> BigDecimal probability,
> int decimalPlaces,
> RoundingMode a_RoundingMode) {
> // Special case probability <= 0
> if (probability.compareTo(BigDecimal.ZERO) != 1) {
> if (probability.compareTo(BigDecimal.ZERO) == 0) {
> return false;
> } else {
> System.out.println(
> "Warning probabilty negative in "
> + Generic_BigDecimal.class
> + ".randomUniformTest(Random,BigDecimal). "
> + "Returning false.");
> return false;
> }
> }
> // Special case probability >= 1
> if (probability.compareTo(BigDecimal.ONE) != -1) {
> if (probability.compareTo(BigDecimal.ONE) == 0) {
> return true;
> } else {
> System.out.println(
> "Warning probabilty greater > 1 in "
> + Generic_BigDecimal.class
> + ".randomUniformTest(Random,BigDecimal). "
> + "Returning true.");
> return true;
> }
> }
> // Set decimalPlace precision to maximum of decimalPlaces and
> // probability.scale();
> int probabilityScale = probability.scale();
> if (decimalPlaces < probabilityScale) {
> System.out.println(
> "Input decimalPlaces < probabilty.scale() in "
> + Generic_BigDecimal.class
> + ".randomUniformTest(Random,BigDecimal). "
> + "Set decimalPlaces = probabilty.scale().");
> decimalPlaces = probabilityScale;
> }
> BigDecimal midTestValue = new BigDecimal("0.5");
> BigDecimal half_BigDecimal = new BigDecimal("0.5");
> BigDecimal two_BigDecimal = new BigDecimal("2.0");
> if (probability.compareTo(midTestValue) == 0) {
> return a_Random.nextBoolean();
> }
> if (probability.compareTo(midTestValue) == -1) {
> return randomTest(
> a_Random,
> probability,
> BigDecimal.ZERO,
> BigDecimal.ONE,
> midTestValue,
> half_BigDecimal,
> two_BigDecimal,
> decimalPlaces,
> a_RoundingMode);
> } else {
> return !randomTest(
> a_Random,
> BigDecimal.ONE.subtract(probability),
> BigDecimal.ZERO,
> BigDecimal.ONE,
> midTestValue,
> half_BigDecimal,
> two_BigDecimal,
> decimalPlaces,
> a_RoundingMode);
> }
> }
> private static boolean randomTest(
> Random a_Random,
> BigDecimal probability,
> BigDecimal minTestValue,
> BigDecimal maxTestValue,
> BigDecimal midTestValue,
> BigDecimal half_BigDecimal,
> BigDecimal two_BigDecimal,
> int decimalPlaces,
> RoundingMode a_RoundingMode) {
> if (probability.compareTo(midTestValue) == 0) {
> return a_Random.nextBoolean();
> }
> boolean above = a_Random.nextBoolean();
> if (above) {
> if (probability.compareTo(midTestValue) == 1) {
> // Test
> BigDecimal newMinTestValue = midTestValue;
> BigDecimal newMidTestValue = divide(
> newMinTestValue.add(maxTestValue),
> two_BigDecimal,
> decimalPlaces,
> a_RoundingMode);
> return randomTest(
> a_Random,
> probability,
> newMinTestValue,
> maxTestValue,
> newMidTestValue,
> half_BigDecimal,
> two_BigDecimal,
> decimalPlaces,
> a_RoundingMode);
> } else {
> return false;
> }
> } else {
> if (probability.compareTo(midTestValue) == 1) {
> return true;
> } else {
> //Test
> BigDecimal newMaxTestValue = midTestValue;
> BigDecimal newMidTestValue = divide(
> newMaxTestValue.add(minTestValue),
> two_BigDecimal,
> decimalPlaces,
> a_RoundingMode);
> return randomTest(
> a_Random,
> probability,
> minTestValue,
> newMaxTestValue,
> newMidTestValue,
> half_BigDecimal,
> two_BigDecimal,
> decimalPlaces,
> a_RoundingMode);
> }
> }
> }
>
> ________________________________________
> From: Ahmed Abdeen Hamed [ahmed.elmasri@gmail.com]
> Sent: 23 October 2011 04:40
> To: Commons Users List
> Subject: Re: [math] Re: binomial random generator
>
> Hi Phil,
>
> Thanks very much for your quick response. I am doing some simulations that
> produce probailities which are in turn must be compared to certains rates.
> Here is an example of what I am doing:
>
> if (randBinomial.nextBinomial(1, Simulation.MRATE)==1) {
>
> // the condition can be replaced by the following uncommented condition
>
> //randM.nextDouble() < Simulation.M_RATE;
>
> if (gt[i] == 0) {
>
> gt[i] = 1;
>
> } else {
>
> gt[i] = 0;
>
> }
>
> }
>
> Please let me know if I am using Binomial object and its method correctly.
>
> Thanks again!
>
> Ahmed
>
>
> On Sat, Oct 22, 2011 at 11:29 PM, Phil Steitz <ph...@gmail.com> wrote:
>
>> On 10/22/11 8:15 PM, Ahmed Abdeen Hamed wrote:
>>> Hello friends,
>>>
>>> I am using the following code in a program I am writing:
>>> private static JDKRandomGenerator rg = new JDKRandomGenerator();
>>> private static RandomDataImpl randBinomial = new RandomDataImpl(rg);
>>>
>>> However, it is slowing down things very much. When I replace generator
>> with
>>> a java.util.Random object it works fine without the performance issues.
>> Is
>>> that expected with this library? Is there any work around? My programs
>> are
>>> very time consuming and I have been repeatedly running them. I really
>> need
>>> some tips if there is anything I can do to enhance the performance.
>>
>> That depends on how you are using randBinomial above. Can you share
>> the code that uses randBinomial and what you mean by "replace
>> generator with a java.util.Random object?" It will also help to
>> describe what exactly you are trying to accomplish with the code.
>>
>> Phil
>>>
>>> Thanks very much!
>>> Ahmed
>>>
>>
>>
>> ---------------------------------------------------------------------
>> To unsubscribe, e-mail: user-unsubscribe@commons.apache.org
>> For additional commands, e-mail: user-help@commons.apache.org
>>
>>
> ---------------------------------------------------------------------
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> For additional commands, e-mail: user-help@commons.apache.org
>
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RE: [math] Re: binomial random generator
Posted by Andy Turner <A....@leeds.ac.uk>.
Hi,
Ahmed, I may be doing something similar. I have simulation models driven by probabilities (values between 0 and 1). In this range I used fixed decimal precision probabilities by using BigDecimal. I have written code that does a pseudo random test of a specific value in the range to return true or false. I beleive this is without bias. For example for a test value of 0.75, 25% of the time it is likely to return true. I've copied the test code for this below. It is part of the generic package I have developed which I release via the following URL:
http://www.geog.leeds.ac.uk/people/a.turner/src/andyt/java/generic/
(If you go to get the code, please get it from the subversion repository as the bundled release is out of date.)
I have another method that returns a pseudo random BigDecimal at a given decimal place precision within a specified range. This might also be useful to you if you really need to have the value rather than perform a test.
A while ago I offered my code to math (because it does BigDecimal exponentiation). I took some steps towards fullfilling the requirements for its inclusion, but because of other demands on my time, I have not managed to complete this which I am still keen to do this...
I hope this helps. Please let me know if it does. It may be that you are doing something more complicated and this would need adapting to work with non uniform distributions you are using.
Best wishes,
Andy
Here are the two methods I use for the random test, the private one is for internal working:
/**
* Effectively this is the same as generating a random number between 0 and
* 1 and comparing it with probability and if it were higher then return
* false and otherwise return true
* @param a_Random
* @param probability 0 <= probability <=1
* @return true or false based on a random uniform test of probability
*/
public static boolean randomUniformTest(
Random a_Random,
BigDecimal probability,
int decimalPlaces,
RoundingMode a_RoundingMode) {
// Special case probability <= 0
if (probability.compareTo(BigDecimal.ZERO) != 1) {
if (probability.compareTo(BigDecimal.ZERO) == 0) {
return false;
} else {
System.out.println(
"Warning probabilty negative in "
+ Generic_BigDecimal.class
+ ".randomUniformTest(Random,BigDecimal). "
+ "Returning false.");
return false;
}
}
// Special case probability >= 1
if (probability.compareTo(BigDecimal.ONE) != -1) {
if (probability.compareTo(BigDecimal.ONE) == 0) {
return true;
} else {
System.out.println(
"Warning probabilty greater > 1 in "
+ Generic_BigDecimal.class
+ ".randomUniformTest(Random,BigDecimal). "
+ "Returning true.");
return true;
}
}
// Set decimalPlace precision to maximum of decimalPlaces and
// probability.scale();
int probabilityScale = probability.scale();
if (decimalPlaces < probabilityScale) {
System.out.println(
"Input decimalPlaces < probabilty.scale() in "
+ Generic_BigDecimal.class
+ ".randomUniformTest(Random,BigDecimal). "
+ "Set decimalPlaces = probabilty.scale().");
decimalPlaces = probabilityScale;
}
BigDecimal midTestValue = new BigDecimal("0.5");
BigDecimal half_BigDecimal = new BigDecimal("0.5");
BigDecimal two_BigDecimal = new BigDecimal("2.0");
if (probability.compareTo(midTestValue) == 0) {
return a_Random.nextBoolean();
}
if (probability.compareTo(midTestValue) == -1) {
return randomTest(
a_Random,
probability,
BigDecimal.ZERO,
BigDecimal.ONE,
midTestValue,
half_BigDecimal,
two_BigDecimal,
decimalPlaces,
a_RoundingMode);
} else {
return !randomTest(
a_Random,
BigDecimal.ONE.subtract(probability),
BigDecimal.ZERO,
BigDecimal.ONE,
midTestValue,
half_BigDecimal,
two_BigDecimal,
decimalPlaces,
a_RoundingMode);
}
}
private static boolean randomTest(
Random a_Random,
BigDecimal probability,
BigDecimal minTestValue,
BigDecimal maxTestValue,
BigDecimal midTestValue,
BigDecimal half_BigDecimal,
BigDecimal two_BigDecimal,
int decimalPlaces,
RoundingMode a_RoundingMode) {
if (probability.compareTo(midTestValue) == 0) {
return a_Random.nextBoolean();
}
boolean above = a_Random.nextBoolean();
if (above) {
if (probability.compareTo(midTestValue) == 1) {
// Test
BigDecimal newMinTestValue = midTestValue;
BigDecimal newMidTestValue = divide(
newMinTestValue.add(maxTestValue),
two_BigDecimal,
decimalPlaces,
a_RoundingMode);
return randomTest(
a_Random,
probability,
newMinTestValue,
maxTestValue,
newMidTestValue,
half_BigDecimal,
two_BigDecimal,
decimalPlaces,
a_RoundingMode);
} else {
return false;
}
} else {
if (probability.compareTo(midTestValue) == 1) {
return true;
} else {
//Test
BigDecimal newMaxTestValue = midTestValue;
BigDecimal newMidTestValue = divide(
newMaxTestValue.add(minTestValue),
two_BigDecimal,
decimalPlaces,
a_RoundingMode);
return randomTest(
a_Random,
probability,
minTestValue,
newMaxTestValue,
newMidTestValue,
half_BigDecimal,
two_BigDecimal,
decimalPlaces,
a_RoundingMode);
}
}
}
________________________________________
From: Ahmed Abdeen Hamed [ahmed.elmasri@gmail.com]
Sent: 23 October 2011 04:40
To: Commons Users List
Subject: Re: [math] Re: binomial random generator
Hi Phil,
Thanks very much for your quick response. I am doing some simulations that
produce probailities which are in turn must be compared to certains rates.
Here is an example of what I am doing:
if (randBinomial.nextBinomial(1, Simulation.MRATE)==1) {
// the condition can be replaced by the following uncommented condition
//randM.nextDouble() < Simulation.M_RATE;
if (gt[i] == 0) {
gt[i] = 1;
} else {
gt[i] = 0;
}
}
Please let me know if I am using Binomial object and its method correctly.
Thanks again!
Ahmed
On Sat, Oct 22, 2011 at 11:29 PM, Phil Steitz <ph...@gmail.com> wrote:
> On 10/22/11 8:15 PM, Ahmed Abdeen Hamed wrote:
> > Hello friends,
> >
> > I am using the following code in a program I am writing:
> > private static JDKRandomGenerator rg = new JDKRandomGenerator();
> > private static RandomDataImpl randBinomial = new RandomDataImpl(rg);
> >
> > However, it is slowing down things very much. When I replace generator
> with
> > a java.util.Random object it works fine without the performance issues.
> Is
> > that expected with this library? Is there any work around? My programs
> are
> > very time consuming and I have been repeatedly running them. I really
> need
> > some tips if there is anything I can do to enhance the performance.
>
> That depends on how you are using randBinomial above. Can you share
> the code that uses randBinomial and what you mean by "replace
> generator with a java.util.Random object?" It will also help to
> describe what exactly you are trying to accomplish with the code.
>
> Phil
> >
> > Thanks very much!
> > Ahmed
> >
>
>
> ---------------------------------------------------------------------
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> For additional commands, e-mail: user-help@commons.apache.org
>
>
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Re: [math] Re: binomial random generator
Posted by Ahmed Abdeen Hamed <ah...@gmail.com>.
Hi Phil,
Thanks very much for your quick response. I am doing some simulations that
produce probailities which are in turn must be compared to certains rates.
Here is an example of what I am doing:
if (randBinomial.nextBinomial(1, Simulation.MRATE)==1) {
// the condition can be replaced by the following uncommented condition
//randM.nextDouble() < Simulation.M_RATE;
if (gt[i] == 0) {
gt[i] = 1;
} else {
gt[i] = 0;
}
}
Please let me know if I am using Binomial object and its method correctly.
Thanks again!
Ahmed
On Sat, Oct 22, 2011 at 11:29 PM, Phil Steitz <ph...@gmail.com> wrote:
> On 10/22/11 8:15 PM, Ahmed Abdeen Hamed wrote:
> > Hello friends,
> >
> > I am using the following code in a program I am writing:
> > private static JDKRandomGenerator rg = new JDKRandomGenerator();
> > private static RandomDataImpl randBinomial = new RandomDataImpl(rg);
> >
> > However, it is slowing down things very much. When I replace generator
> with
> > a java.util.Random object it works fine without the performance issues.
> Is
> > that expected with this library? Is there any work around? My programs
> are
> > very time consuming and I have been repeatedly running them. I really
> need
> > some tips if there is anything I can do to enhance the performance.
>
> That depends on how you are using randBinomial above. Can you share
> the code that uses randBinomial and what you mean by "replace
> generator with a java.util.Random object?" It will also help to
> describe what exactly you are trying to accomplish with the code.
>
> Phil
> >
> > Thanks very much!
> > Ahmed
> >
>
>
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