Kirjojen hintavertailu – 12 859 829 kirjaa ja 27 kauppaa

Kirjailija

Xinyu Shao

Kirjat ja teokset yhdessä paikassa: 2 kirjaa, julkaisuja vuosilta 2019–2020, suosituimpiin kuuluu Surrogate Model-Based Engineering Design and Optimization. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

2 kirjaa

Kirjojen julkaisuvuodet: 2019–2020.

Surrogate Model-Based Engineering Design and Optimization

Surrogate Model-Based Engineering Design and Optimization

Ping Jiang; Qi Zhou; Xinyu Shao

Springer Verlag, Singapore
2020
nidottu
This book covers some of the most popular methods in design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization. Surrogate or metamodels are now frequently used in complex engineering product design to replace expensive simulations or physical experiments. They are constructed from available input parameter values and the corresponding output performance or quantities of interest (QOIs) to provide predictions based on the fitted or interpolated mathematical relationships. The book highlights a range of methods for ensembling surrogate and multi-fidelity models, which offer a good balance between surrogate modeling accuracy and building cost. A number of real-world engineering design problems, such as three-dimensional aircraft design, are also provided to illustrate the ability of surrogates for supporting complex engineering design. Lastly, illustrative examples are included throughout to help explain the approaches in a more “hands-on” manner.
Surrogate Model-Based Engineering Design and Optimization

Surrogate Model-Based Engineering Design and Optimization

Ping Jiang; Qi Zhou; Xinyu Shao

Springer Verlag, Singapore
2019
sidottu
This book covers some of the most popular methods in design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization. Surrogate or metamodels are now frequently used in complex engineering product design to replace expensive simulations or physical experiments. They are constructed from available input parameter values and the corresponding output performance or quantities of interest (QOIs) to provide predictions based on the fitted or interpolated mathematical relationships. The book highlights a range of methods for ensembling surrogate and multi-fidelity models, which offer a good balance between surrogate modeling accuracy and building cost. A number of real-world engineering design problems, such as three-dimensional aircraft design, are also provided to illustrate the ability of surrogates for supporting complex engineering design. Lastly, illustrative examples are included throughout to help explain the approaches in a more “hands-on” manner.