First-order sequential convex programming using approximate diagonal QP subproblems
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Publication:381733
DOI10.1007/s00158-011-0739-3zbMath1274.90378OpenAlexW2126966989MaRDI QIDQ381733
Albert A. Groenwold, L. F. P. Etman, Jacobus E. Rooda
Publication date: 15 November 2013
Published in: Structural and Multidisciplinary Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00158-011-0739-3
trust region methoddiagonal quadratic approximationsequential approximate optimization (SAO)reciprocal intervening variablessequential convex programming (SCP)sequential quadratic programming (SQP)
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Explicit model of dual programming and solving method for a class of separable convex programming problems ⋮ Positive definite separable quadratic programs for non-convex problems ⋮ An algorithm for the topology optimization of geometrically nonlinear structures ⋮ The Lagrange method and SAO with bounds on the dual variables ⋮ Enhanced sequential approximate programming using second order reliability method for accurate and efficient structural reliability-based design optimization ⋮ On sequential approximate simultaneous analysis and design in classical topology optimization
Uses Software
Cites Work
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- Incomplete series expansion for function approximation
- Sequential approximate optimization using dual subproblems based on incomplete series expansions
- Approximated approximations for SAO
- Enhanced two-point diagonal quadratic approximation methods for design optimization
- Review of options for structural design sensitivity analysis. I: Linear systems
- Lagrange multipliers and nonlinear programming
- A Class of Globally Convergent Optimization Methods Based on Conservative Convex Separable Approximations
- Numerical methods for large-scale nonlinear optimization
- A quadratic approximation for structural topology optimization
- Structural optimization: A new dual method using mixed variables
- The method of moving asymptotes—a new method for structural optimization
- Structural weight optimization by dual methods of convex programming
- Algorithm 778: L-BFGS-B
- A modification of convex approximation methods for structural optimization
- Trust Region Methods
- Very large scale optimization by sequential convex programming
- GALAHAD, a library of thread-safe Fortran 90 packages for large-scale nonlinear optimization
- Efficient approximation concepts using second order information
- Large-scale topology optimization in 3D using parallel computing
- A combined convex approximation -- interior point approach for large scale nonlinear programming
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