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Book Categories |
Part I Chance-Constrained and Shastic Optimization
Scenario Approximations of Chance Constraints
Optimization Models with Probabilistic Constraints
Theoretical Framework for Comparing Several Shastic Optimization Approaches
Optimization of Risk Measures
Part II Robust Optimization and Random Sampling
Sampled Convex Programs and Probabilistically Robust Design
Tetris: A Study of Randomized Constraint Sampling
Near Optimal Solutions to Least-Squares Problems with Shastic Uncertainty
The Randomized Ellipsoid Algorithm for Constrained Robust Least Squares Problems
Randomized Algorithms for Semi-Infnite Programming Problems
Part III Probabilistic Methods in Identifcation and Control
A Learning Theory Approach to System Identifcation and Shastic Adaptive Control
Probabilistic Design of a Robust Controller Using a Parameter-Dependent Lyapunov Function
Probabilistic Robust Controller Design: Probable Near Minimax Value and Randomized Algorithms
Sampling Random Transfer Functions
Nonlinear Systems Stability via Random and Quasi-Random Methods
Probabilistic Control of Nonlinear Uncertain Systems
Fast Randomized Algorithms for Probabilistic Robustness Analysis
References
| Price | Condition | Delivery | Seller | Action |
| $171.84 | Digital |
| WonderClub |
Vickie Brinkman
reviewed Probabilistic and Randomized Methods for Design under Uncertainty on February 07, 2016
Probabilistic and Randomized Methods for Design under Uncertainty
Henry Petroski is a prolific and talented writer, who turns case studies into gripping page turners.
I find myself interested in several books lately, and each happens (upon inspection) to have been written by Petroski. This coincidence was spurred when I found Design Paradigms outside an office, and took it home with me.
This book must not be passed up by anybody with an interest in design, and is a great starting place for people who want an introduction to a multitude of relatable and informative engineering concepts.
I adore this book!
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Add Probabilistic and Randomized Methods for Design under Uncertainty, In many engineering design and optimization problems, the presence of uncertainty in the data is a central and critical issue. Different fields of engineering use different ways to describe this uncertainty and adopt a variety of techniques to devise desi, Probabilistic and Randomized Methods for Design under Uncertainty to the inventory that you are selling on WonderClubX
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Add Probabilistic and Randomized Methods for Design under Uncertainty, In many engineering design and optimization problems, the presence of uncertainty in the data is a central and critical issue. Different fields of engineering use different ways to describe this uncertainty and adopt a variety of techniques to devise desi, Probabilistic and Randomized Methods for Design under Uncertainty to your collection on WonderClub |
