Found in titles:

1. DMelt: Catalano.Statistics.Kernels.Polynomial [100%] (Java API)
2. DMelt: cern.jet.math.Polynomial [100%] (Java API)
3. DMelt: edu.jas.poly.Polynomial [100%] (Java API)
4. DMelt: flanagan.math.Polynomial [100%] (Java API)
5. DMelt: jsci.maths.polynomials.Polynomial [100%] (Java API)
6. DMelt: org.ddogleg.solver.Polynomial [100%] (Java API)
7. DMelt: cern.jet.math.tdouble.Polynomial [87%] (Java API)
8. DMelt: edu.princeton.cs.algs4.Polynomial [87%] (Java API)
9. DMelt: org.jscience.mathematics.function.Polynomial [87%] (Java API)
10. DMelt: org.spaceroots.mantissa.algebra.Polynomial [87%] (Java API)
11. DMelt: umontreal.iro.lecuyer.functions.Polynomial [87%] (Java API)
12. Jython Example: symbolic_sym2.py [75%] Using SymJa for polynomial evaluations
13. DMelt: org.spaceroots.mantissa.algebra.Polynomial.DivisionResult [75%] (Java API)
14. DMelt: org.spaceroots.mantissa.algebra.Polynomial.Double [75%] (Java API)
15. DMelt: org.spaceroots.mantissa.algebra.Polynomial.Rational [75%] (Java API)
16. Jython Example: openf_poly_regression.py [62%] Forecast using polynomial regression
17. Jython Example: stat_poly_regression.py [50%] Polynomial regression example. It shows PolySolve generator to fit X-Y data.
18. Jython Example: equa_apache.py [50%] Solving polynomial equations (quadratic, cubic etc.)