Practical Mathematical Optimization
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Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-319-77586-9
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Citations
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Cited by:
- Dominic Kafka & Daniel N. Wilke, 2021. "Resolving learning rates adaptively by locating stochastic non-negative associated gradient projection points using line searches," Journal of Global Optimization, Springer, vol. 79(1), pages 111-152, January.
- Mirko Ginocchi & Ferdinanda Ponci & Antonello Monti, 2021. "Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started," Energies, MDPI, vol. 14(24), pages 1-59, December.
- Giovanni Amici & Paolo Brandimarte & Francesco Messeri & Patrizia Semeraro, 2023. "Multivariate L\'evy Models: Calibration and Pricing," Papers 2303.13346, arXiv.org, revised Jul 2023.
Book Chapters
The following chapters of this book are listed in IDEAS- Jan A. Snyman & Daniel N. Wilke, 2018. "Introduction," Springer Optimization and Its Applications, in: Practical Mathematical Optimization, edition 2, chapter 0, pages 3-40, Springer.
- Jan A. Snyman & Daniel N. Wilke, 2018. "Line Search Descent Methods For Unconstrained Minimization," Springer Optimization and Its Applications, in: Practical Mathematical Optimization, edition 2, chapter 0, pages 41-69, Springer.
- Jan A. Snyman & Daniel N. Wilke, 2018. "Standard Methods For Constrained Optimization," Springer Optimization and Its Applications, in: Practical Mathematical Optimization, edition 2, chapter 0, pages 71-112, Springer.
- Jan A. Snyman & Daniel N. Wilke, 2018. "Basic Example Problems," Springer Optimization and Its Applications, in: Practical Mathematical Optimization, edition 2, chapter 0, pages 113-167, Springer.
- Jan A. Snyman & Daniel N. Wilke, 2018. "Some Basic Optimization Theorems," Springer Optimization and Its Applications, in: Practical Mathematical Optimization, edition 2, chapter 0, pages 169-193, Springer.
- Jan A. Snyman & Daniel N. Wilke, 2018. "New Gradient-Based Trajectory And Approximation Methods," Springer Optimization and Its Applications, in: Practical Mathematical Optimization, edition 2, chapter 0, pages 197-250, Springer.
- Jan A. Snyman & Daniel N. Wilke, 2018. "Surrogate Models," Springer Optimization and Its Applications, in: Practical Mathematical Optimization, edition 2, chapter 0, pages 251-271, Springer.
- Jan A. Snyman & Daniel N. Wilke, 2018. "Gradient-Only Solution Strategies," Springer Optimization and Its Applications, in: Practical Mathematical Optimization, edition 2, chapter 0, pages 273-310, Springer.
- Jan A. Snyman & Daniel N. Wilke, 2018. "Practical Computational Optimization Using Python," Springer Optimization and Its Applications, in: Practical Mathematical Optimization, edition 2, chapter 0, pages 311-340, Springer.
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