Optimization and Its Applications in Control and Data Sciences

Edited by Boris Goldengorin ()

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

Date: 2016
ISBN: 978-3-319-42056-1
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Chapters in this book:

A New Adaptive Conjugate Gradient Algorithm for Large-Scale Unconstrained Optimization

Neculai Andrei

On Methods of Terminal Control with Boundary-Value Problems: Lagrange Approach

Anatoly Antipin and Elena Khoroshilova

Optimization of Portfolio Compositions for Small and Medium Price-Taking Traders

Alexander S. Belenky and Lyudmila Egorova

Indirect Maximum Likelihood Estimation

Daniel Berend and Luba Sapir

Lagrangian Duality in Complex Pose Graph Optimization

Giuseppe C. Calafiore, Luca Carlone and Frank Dellaert

State-Feedback Control of Positive Switching Systems with Markovian Jumps

Patrizio Colaneri, Paolo Bolzern, José C. Geromel and Grace S. Deaecto

Matrix-Free Convex Optimization Modeling

Steven Diamond and Stephen Boyd

Invariance Conditions for Nonlinear Dynamical Systems

Zoltán Horváth, Yunfei Song and Tamás Terlaky

Modeling of Stationary Periodic Time Series by ARMA Representations

Anders Lindquist and Giorgio Picci

A New Two-Step Proximal Algorithm of Solving the Problem of Equilibrium Programming

Sergey I. Lyashko and Vladimir V. Semenov

Nonparametric Ellipsoidal Approximation of Compact Sets of Random Points

Sergey I. Lyashko, Dmitry A. Klyushin, Vladimir V. Semenov, Maryna V. Prysiazhna and Maksym P. Shlykov

Extremal Results for Algebraic Linear Interval Systems

Daniel N. Mohsenizadeh, Vilma A. Oliveira, Lee H. Keel and Shankar P. Bhattacharyya

Applying the Gradient Projection Method to a Model of Proportional Membership for Fuzzy Cluster Analysis

Susana Nascimento

Algorithmic Principle of Least Revenue for Finding Market Equilibria

Yurii Nesterov and Vladimir Shikhman

The Legendre Transformation in Modern Optimization

Roman A. Polyak

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DOI: 10.1007/978-3-319-42056-1

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