Introduction to Continuous Optimization

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

in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu

Date: 2021
ISBN: 978-3-030-68713-7
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Chapters in this book:

Ch Chapter 1 Introduction

Roman A. Polyak

Ch Chapter 10 Finding Nonlinear Equilibrium

Roman A. Polyak

Ch Chapter 11 Applications and Numerical Results

Roman A. Polyak

Ch Chapter 2 Elements of Calculus and Convex Analysis

Roman A. Polyak

Ch Chapter 3 Few Topics in Unconstrained Optimization

Roman A. Polyak

Ch Chapter 4 Optimization with Equality Constraints

Roman A. Polyak

Ch Chapter 5 Basics in Linear and Convex Optimization

Roman A. Polyak

Ch Chapter 6 Self-Concordant Functions and IPM Complexity

Roman A. Polyak

Ch Chapter 7 Nonlinear Rescaling: Theory and Methods

Roman A. Polyak

Ch Chapter 8 Realizations of the NR Principle

Roman A. Polyak

Ch Chapter 9 Lagrangian Transformation and Interior Ellipsoid Methods

Roman A. Polyak

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DOI: 10.1007/978-3-030-68713-7

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