Probability-Based Multi-objective Optimization for Material Selection

Probability-Based Multi-objective Optimization for Material Selection

AngličtinaPevná vazba
Zheng, Maosheng
Springer Verlag, Singapore
EAN: 9789811933509
Titul je vyprodán u vydavatele, prodej skončil
Neznámé datum dodání
2 633 Kč
Běžná cena: 2 925 Kč
Sleva 10 %
Chcete tento titul ještě dnes?
knihkupectví Megabooks Praha Korunní
není dostupné
Librairie Francophone Praha Štěpánská
není dostupné
knihkupectví Megabooks Ostrava
není dostupné
knihkupectví Megabooks Olomouc
není dostupné
knihkupectví Megabooks Plzeň
není dostupné
knihkupectví Megabooks Brno
není dostupné
knihkupectví Megabooks Hradec Králové
není dostupné
knihkupectví Megabooks České Budějovice
není dostupné
knihkupectví Megabooks Liberec
není dostupné

Podrobné informace

This book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection systematically, in which a brand new concept of preferable probability and its assessment as well as other treatments are introduced by authors for the first time. Hybrids of the new approach with experimental design methodologies, such as response surface methodology, orthogonal experimental design, and uniform experimental design, are all performed; the conditions of the material performance utility with desirable value and robust assessment are included; the discretization treatment of complicated integral in the evaluation is presented.

The authors wish this work will cast a brick to attract jade and would make its contributions to relevant fields as a paving stone.

This book can be used as a textbook for postgraduate and advanced undergraduate students in material relevant majors, and a reference book for scientists and engineers digging in the related fields.

EAN 9789811933509
ISBN 9811933502
Typ produktu Pevná vazba
Vydavatel Springer Verlag, Singapore
Datum vydání 13. srpna 2022
Stránky 147
Jazyk English
Rozměry 235 x 155
Země Singapore
Sekce Professional & Scholarly
Autoři Cui Ying; Teng, Haipeng; Wang Yi; Yu, Jie; Zheng, Maosheng
Ilustrace XV, 147 p. 17 illus., 2 illus. in color.
Edice 1st ed. 2023