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Could your recommend some good big integer calculation library in C/C++/Java and it is better to support logarithmetic.
Thanks.
For C/C++ I would recommend the GNU Multiple Precision Library.
For Java you might check the built-in math API. It provides by far less functionality than GMP, but depending on what you need, it might meet your requirements.
Java has classes for that in java.math. (BigInteger for instance.)
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Could someone recommend me lightweight, easy to use Java library for stochastic gradient descent optimization?
This may be a late reply. Try MLLib by apache (part of SPARK project) or WEKA. Only to optimize a linear regression, you might like to code yourself rather than going for a library.
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I'm looking (have looked on Google, no luck) for a Java library that can produce graphs of mathematical functions and equations. It would be great if I could us it as a JComponent for adding to frames, but I can do without. If there aren't any good ones I'll probably make one anyway.
Thanks in advance
Did you check jfreechart?
http://www.jfree.org/jfreechart/samples.html
As jfreechart uses data series you will have to sample your matchematical functions.
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I know you can use pHash from .NET or Java, but I would like a pure .NET (preferably) or Java implementation. Are there any others available? I am interested in the image hashing functionality specifically.
A perceptual hash is a way of creating a numeric hash of images and then being able to compare those hashs to see if the images are similar. It allows for really fast image recognition.
Here is an Java implementation of pHash for images by Elliot Shepherd.
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I need help in choosing the best library to implement the Kolmogorov-Smirnov Test (Two-Sample) in Java.
I have tried using JavaStatisticalClass.
Problem with this library is that I can't specify/choose the "Significance Level" by myself.
Do you have any suggestions of other libraries where I can chose the significance level?
Instead of specifying the significance level a priori you can determine the p-value using JavaStatisticalClass and compare this value with the intended significance.
How about jsc.goodnessfit.KolmogorovTest?
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there is a matrix library for java available http://math.nist.gov/javanumerics/jama/ is there anything similar in groovy?
You can easily use Java libraries inside Groovy code, just import and use. In addition, with a low effort, you could write your own DSL to wrap the JaMa library (and release it of course :)
you could have a look at the GroovyLab or Groovy-Matrix projects covering classes for Groovy math engineering:
http://code.google.com/p/groovylab/
http://code.google.com/p/groovy-matrix/
both projects seem a bit outdated, but it should certainly be not a big problem to push them to the latest Groovy version.