Found in titles:

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