Algebraic Function Fitting System

An Algebraic Function Fitting System is a function fitting system that implements an algebraic function fitting algorithm to solve an algebraic function fitting task (that accepts an algebraic function family).

• Example(s):
  • a Least Squares-based Function Fitting System, such as scipy.optimize.leastsq.
  • a MathWorks Optimization Toolbox.
  • a Logistic Regression Training System.
  • …
• Counter-Example(s):
  • Decision Tree Learning System.
  • an Ensemble Learning-based System.
• See: Regularization.

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References

2013

• http://www.mathworks.com/help/optim/ug/writing-objective-functions.html
  • QUOTE: Many Optimization Toolbox™ solvers minimize a scalar function of a multidimensional vector. The objective function is the function the solvers attempt to minimize. Several solvers accept vector-valued objective functions, and some solvers use objective functions you specify by vectors or matrices.

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