Some Iteration Rules without Memory

  • Sándor Csibi
Part of the International Centre for Mechanical Sciences book series (CISM, volume 84)


In this chapter we present some simple algorithms, governed by memoryless regulators. While these procedures are of actual interest also in their own right, they serve in the present context also to give some preliminary ideas in what form may converge constraints be formulated. One may get, in this way, more insight into how the notions and constraints, introduced in Chapter 3, are motivated.


Machine Learn Reproduce Kernel Hilbert Space Iterative Learning Actual Interest Kernel Learn 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Wien 1975

Authors and Affiliations

  • Sándor Csibi
    • 1
  1. 1.Telecom. Res. Inst.T.U. of BudapestBudapestHungary

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