[PDF.90lt] Applied Interval Analysis: With Examples in Parameter and State Estimation, Robust Control and Robotics
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Applied Interval Analysis: With Examples in Parameter and State Estimation, Robust Control and Robotics
Luc Jaulin, Michel Kieffer, Olivier Didrit, Eric Walter
[PDF.kn71] Applied Interval Analysis: With Examples in Parameter and State Estimation, Robust Control and Robotics
Applied Interval Analysis: With Luc Jaulin, Michel Kieffer, Olivier Didrit, Eric Walter epub Applied Interval Analysis: With Luc Jaulin, Michel Kieffer, Olivier Didrit, Eric Walter pdf download Applied Interval Analysis: With Luc Jaulin, Michel Kieffer, Olivier Didrit, Eric Walter pdf file Applied Interval Analysis: With Luc Jaulin, Michel Kieffer, Olivier Didrit, Eric Walter audiobook Applied Interval Analysis: With Luc Jaulin, Michel Kieffer, Olivier Didrit, Eric Walter book review Applied Interval Analysis: With Luc Jaulin, Michel Kieffer, Olivier Didrit, Eric Walter summary
| #19053526 in Books | Springer | 2012-08-30 | 2012-12-21 | Original language:English | PDF # 1 | 9.25 x.91 x6.10l,1.23 | File type: PDF | 379 pages | ||1 of 1 people found the following review helpful.| Nice applied introduction|By Keiichi Ito|Interval analysis can be considered as an algebraic method to propagate uncertainty of inputs through a function, just like you would do with error analysis in Physics. As in automatic differentiation, the function must not be black-box to apply this method. The book provides a very clear explanation of the method and its application t||From the reviews:|"Applied Interval Analysis is the right book at the right time to move computing with intervals into the mainstream of engineering, financial, and scientific computing."|G. William Walster, Interval Technology Engineering
At the core of many engineering problems is the solution of sets of equa tions and inequalities, and the optimization of cost functions. Unfortunately, except in special cases, such as when a set of equations is linear in its un knowns or when a convex cost function has to be minimized under convex constraints, the results obtained by conventional numerical methods are only local and cannot be guaranteed. This means, for example, that the actual global minimum ...
You can specify the type of files you want, for your device.Applied Interval Analysis: With Examples in Parameter and State Estimation, Robust Control and Robotics | Luc Jaulin, Michel Kieffer, Olivier Didrit, Eric Walter. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.
