Titlebook: Structural Optimization; Fundamentals and App Uri Kirsch Book 1993 Springer-Verlag Berlin Heidelberg 1993 Design.Fundament.Konstruieren.Opt

CLAST

書目名稱Structural Optimization影響因子(影響力)




書目名稱Structural Optimization影響因子(影響力)學科排名




書目名稱Structural Optimization網(wǎng)絡公開度




書目名稱Structural Optimization網(wǎng)絡公開度學科排名




書目名稱Structural Optimization被引頻次




書目名稱Structural Optimization被引頻次學科排名




書目名稱Structural Optimization年度引用




書目名稱Structural Optimization年度引用學科排名




書目名稱Structural Optimization讀者反饋




書目名稱Structural Optimization讀者反饋學科排名

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BOOST

別炫耀

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o decades. The purpose of the book is to introduce the fundamentals and applications of optimum structural design. Much work has been done in this area recently and many studies have been published. The book is an attempt to collect together selected topics of this literature and to present them in

ODIUM

革新

ulty in studying structural optimization is that integration of concepts used in several areas. such as structural analysis. numerical optimization and engineering design. is necessary in order to solve a specific problem. To facilitate the study of these topics. the book discusses in detail alternative probl978-3-540-55919-1978-3-642-84845-2

得罪

tific cross-fertilization by surveying cutting-edge applications of quantum optics and optomechanics in gravitational wave detection, tests of fundamental physics, searches for dark matter, geophysical monitoring, and ultraprecise clocks. Complete with worked examples and exercises, this book provid

Ingrained

Uri Kirsch no wavefunction is represented more than once in the entire set of measurement instances. Then take the full set of individual particle counts and show they agree with the implications of standard QM. The exposition makes several connections to Mike Horne’s interests, collaborations and work. The s

同時發(fā)生

Uri Kirschthe form of an SDN-governed swarm to conduct the mobile surveillance task with joint efforts under the consistent control of the centric SDN controller. In addition, mobile nodes are equipped with TensorFlow-based image recognition feature, capable of transmitting the recognized results of harmful c