Journal of Global Optimization

An International Journal Dealing with Theoretical and Computational Aspects of Seeking Global Optima and Their Applications in Science, Management and Engineering

Volume 32, issue 2, June 2005

8 articles in this issue

Preface

Authors
- C. A. Floudas
- Content type: Preface
- Pages: 159 - 159
Local Optimization Method with Global Multidimensional Search

Authors
- Adil M. Bagirov
- Alexander M. Rubinov
- Jiapu Zhang
- Content type: OriginalPaper
- Pages: 161 - 179
Quartic Formulation of Standard Quadratic Optimization Problems

Authors
- Immanuel M. Bomze
- Laura Palagi
- Content type: OriginalPaper
- Pages: 181 - 205
Global Optimization Versus Integer Programming in Portfolio Optimization under Nonconvex Transaction Costs

Authors
- Hiroshi Konno
- Rei Yamamoto
- Content type: OriginalPaper
- Pages: 207 - 219
Convex Underestimation of Twice Continuously Differentiable Functions by Piecewise Quadratic Perturbation: Spline αBB Underestimators

Authors
- Clifford A. Meyer
- Christodoulos A. Floudas
- Content type: OriginalPaper
- Pages: 221 - 258
Accelerating Branch-and-Bound through a Modeling Language Construct for Relaxation-Specific Constraints

Authors
- Nikolaos V. Sahinidis
- Mohit Tawarmalani
- Content type: OriginalPaper
- Pages: 259 - 280
A Global Optimization RLT-based Approach for Solving the Hard Clustering Problem

Authors
- Hanif D. Sherali
- Jitamitra Desai
- Content type: OriginalPaper
- Pages: 281 - 306
Robust Solution of Nonconvex Global Optimization Problems

Authors
- Hoang Tuy
- Content type: OriginalPaper
- Pages: 307 - 323

Volume 32, issue 2, June 2005

Preface

Local Optimization Method with Global Multidimensional Search

Quartic Formulation of Standard Quadratic Optimization Problems

Global Optimization Versus Integer Programming in Portfolio Optimization under Nonconvex Transaction Costs

Convex Underestimation of Twice Continuously Differentiable Functions by Piecewise Quadratic Perturbation: Spline αBB Underestimators

Accelerating Branch-and-Bound through a Modeling Language Construct for Relaxation-Specific Constraints

A Global Optimization RLT-based Approach for Solving the Hard Clustering Problem

Robust Solution of Nonconvex Global Optimization Problems

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Volume 32, issue 2, June 2005

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