Optimization and Its Applications in Control and Data Sciences - Springer Optimization and Its Applications
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Published By Springer International Publishing

9783319420547, 9783319420561

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The Legendre Transformation in Modern Optimization

Optimization and Its Applications in Control and Data Sciences - Springer Optimization and Its Applications ◽

10.1007/978-3-319-42056-1_15 ◽

2016 ◽

pp. 437-507 ◽

Cited By ~ 2

Author(s):

Roman A. Polyak

Keyword(s):

Legendre Transformation ◽

Modern Optimization

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

Optimization and Its Applications in Control and Data Sciences - Springer Optimization and Its Applications ◽

10.1007/978-3-319-42056-1_2 ◽

2016 ◽

pp. 17-49 ◽

Cited By ~ 3

Author(s):

Anatoly Antipin ◽

Elena Khoroshilova

Keyword(s):

Boundary Value Problems ◽

Boundary Value ◽

Terminal Control ◽

Lagrange Approach

Algorithmic Principle of Least Revenue for Finding Market Equilibria

Optimization and Its Applications in Control and Data Sciences - Springer Optimization and Its Applications ◽

10.1007/978-3-319-42056-1_14 ◽

2016 ◽

pp. 381-435

Author(s):

Yurii Nesterov ◽

Vladimir Shikhman

Keyword(s):

Market Equilibria

Lagrangian Duality in Complex Pose Graph Optimization

Optimization and Its Applications in Control and Data Sciences - Springer Optimization and Its Applications ◽

10.1007/978-3-319-42056-1_5 ◽

2016 ◽

pp. 139-184

Author(s):

Giuseppe C. Calafiore ◽

Luca Carlone ◽

Frank Dellaert

Keyword(s):

Lagrangian Duality ◽

Graph Optimization ◽

Pose Graph Optimization

Extremal Results for Algebraic Linear Interval Systems

Optimization and Its Applications in Control and Data Sciences - Springer Optimization and Its Applications ◽

10.1007/978-3-319-42056-1_12 ◽

2016 ◽

pp. 341-351 ◽

Cited By ~ 1

Author(s):

Daniel N. Mohsenizadeh ◽

Vilma A. Oliveira ◽

Lee H. Keel ◽

Shankar P. Bhattacharyya

Keyword(s):

Linear Interval ◽

Linear Interval Systems ◽

Interval Systems

Indirect Maximum Likelihood Estimation

Optimization and Its Applications in Control and Data Sciences - Springer Optimization and Its Applications ◽

10.1007/978-3-319-42056-1_4 ◽

2016 ◽

pp. 119-138

Author(s):

Daniel Berend ◽

Luba Sapir

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation

Matrix-Free Convex Optimization Modeling

Optimization and Its Applications in Control and Data Sciences - Springer Optimization and Its Applications ◽

10.1007/978-3-319-42056-1_7 ◽

2016 ◽

pp. 221-264 ◽

Cited By ~ 9

Author(s):

Steven Diamond ◽

Stephen Boyd

Keyword(s):

Convex Optimization ◽

Optimization Modeling ◽

Matrix Free

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

Optimization and Its Applications in Control and Data Sciences - Springer Optimization and Its Applications ◽

10.1007/978-3-319-42056-1_10 ◽

2016 ◽

pp. 315-325 ◽

Cited By ~ 21

Author(s):

Sergey I. Lyashko ◽

Vladimir V. Semenov

Keyword(s):

Proximal Algorithm ◽

Equilibrium Programming

Invariance Conditions for Nonlinear Dynamical Systems

Optimization and Its Applications in Control and Data Sciences - Springer Optimization and Its Applications ◽

10.1007/978-3-319-42056-1_8 ◽

2016 ◽

pp. 265-280 ◽

Cited By ~ 2

Author(s):

Zoltán Horváth ◽

Yunfei Song ◽

Tamás Terlaky

Keyword(s):

Dynamical Systems ◽

Nonlinear Dynamical Systems ◽

Nonlinear Dynamical

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

Optimization and Its Applications in Control and Data Sciences - Springer Optimization and Its Applications ◽

10.1007/978-3-319-42056-1_1 ◽

2016 ◽

pp. 1-16

Author(s):

Neculai Andrei

Keyword(s):

Unconstrained Optimization ◽

Conjugate Gradient ◽

Large Scale ◽

Conjugate Gradient Algorithm ◽

Gradient Algorithm ◽

Large Scale Unconstrained Optimization

Optimization and Its Applications in Control and Data Sciences - Springer Optimization and Its ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

The Legendre Transformation in Modern Optimization

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

Algorithmic Principle of Least Revenue for Finding Market Equilibria

Lagrangian Duality in Complex Pose Graph Optimization

Extremal Results for Algebraic Linear Interval Systems

Indirect Maximum Likelihood Estimation

Matrix-Free Convex Optimization Modeling

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

Invariance Conditions for Nonlinear Dynamical Systems

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

Optimization and Its Applications in Control and Data Sciences - Springer Optimization and Its Applications
Latest Publications