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Algorithms for Continuous Optimization : The State of the Art
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Table of Contents
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Book Overview
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Chapter 1
General Optimality Conditions via a Separation Scheme
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Chapter 2
Linear Equations in Optimisation
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Chapter 3
Generalized and Sparse Least Squares Problems
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Chapter 4
Algorithms for Solving Nonlinear Systems of Equations
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Chapter 5
An Overview of Unconstrained Optimization
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Chapter 6
Nonquadratic Model Methods in Unconstrained Optimization
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Chapter 7
Algorithms for General Constrained Nonlinear Optimization
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Chapter 8
Exact Penalty Methods
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Chapter 9
Stable Barrier-Projection and Barrier-Newton Methods for Linear and Nonlinear Programming
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Chapter 10
Large-scale Nonlinear Constrained Optimization: a Current Survey
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Chapter 11
ABS Methods for Nonlinear Optimization
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Chapter 12
A Condensed Introduction to Bundle Methods in Nonsmooth Optimization
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Chapter 13
Computational Methods For Linear Programming
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Chapter 14
Infeasible Interior Point Methods for Solving Linear Programs
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Chapter 15
Algorithms for Linear Complementarity Problems
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Chapter 16
A Homework Exercise — The “Big-M” Problem
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Chapter 17
Deterministic Global Optimization
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Chapter 18
On Automatic Differentiation and Continuous Optimization
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Chapter 19
Neural Networks and Unconstrained Optimization
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Chapter 20
Parallel Nonlinear Optimization: Limitations, Challenges, and Opportunities
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
Citations
dimensions_citation
16
Dimensions
Readers on
mendeley
9
Mendeley
Book overview
1. General Optimality Conditions via a Separation Scheme
2. Linear Equations in Optimisation
3. Generalized and Sparse Least Squares Problems
4. Algorithms for Solving Nonlinear Systems of Equations
5. An Overview of Unconstrained Optimization
6. Nonquadratic Model Methods in Unconstrained Optimization
7. Algorithms for General Constrained Nonlinear Optimization
8. Exact Penalty Methods
9. Stable Barrier-Projection and Barrier-Newton Methods for Linear and Nonlinear Programming
10. Large-scale Nonlinear Constrained Optimization: a Current Survey
11. ABS Methods for Nonlinear Optimization
12. A Condensed Introduction to Bundle Methods in Nonsmooth Optimization
13. Computational Methods For Linear Programming
14. Infeasible Interior Point Methods for Solving Linear Programs
15. Algorithms for Linear Complementarity Problems
16. A Homework Exercise — The “Big-M” Problem
17. Deterministic Global Optimization
18. On Automatic Differentiation and Continuous Optimization
19. Neural Networks and Unconstrained Optimization
20. Parallel Nonlinear Optimization: Limitations, Challenges, and Opportunities
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
1
syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Carnegie Mellon University
1
Unknown