Nonlinear Rescaling: Theory and Methods

Roman A. Polyak
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Roman A. Polyak: School of Mathematical Sciences

Chapter Chapter 7 in Introduction to Continuous Optimization, 2021, pp 281-343 from Springer

Abstract: Abstract The first result on Nonlinear Rescaling (NR) theory and methods were obtained in the early 1980s. The purpose was finding an alternative for SUMT free from its well-known shortcomings (see Chapter 5 ). Roughly speaking, for inequality-constrained optimization, the NR is to SUMT as AL is to Courant’s penalty method for ECO. Unfortunately, the NR results were published almost 10 years later.

Date: 2021
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DOI: 10.1007/978-3-030-68713-7_7

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