the Academic NEST

Jagmohan L. Humar ... 996 pages - Publisher: CRC Press; 2nd edition (April, 2002) ... Language: English - ISBN-10: 9058092461 - ISBN-13: 978-9058092465 

This major textbook provides comprehensive coverage of the analytical tools required to determine the dynamic response of structures. The topics covered include: formulation of the equations of motion for single- as well as multi-degree-of-freedom discrete systems using the principles of both vector mechanics and analytical mechanics; free vibration response; determination of frequencies and mode shapes; forced vibration response to harmonic and general forcing functions; dynamic analysis of continuous systems;and wave propagation analysis. The key assets of the book include comprehensive coverage of both the traditional and state-of-the-art numerical techniques of response analysis, such as the analysis by numerical integration of the equations of motion and analysis through frequency domain. The large number of illustrative examples and exercise problems are of great assistance in improving clarity and enhancing reader comprehension. The text aims to benefit students and engineers in the civil, mechanical and aerospace sectors.

Ferdinand P. Beer, E. Russell Johnston, Jr., John T. Dewolf, David F. Mazurek ... 832 pages - Publisher: McGraw-Hill; 6th edition (January, 2011) ... Language: English - ISBN-10: 0073380288 - ISBN-13: 978-0073380285.

Beer and Johnston's Mechanics of Materials is the uncontested leader for the teaching of solid mechanics. Used by thousands of students around the globe since its publication in 1981, Mechanics of Materials, provides a precise presentation of the subject illustrated with numerous engineering examples that students both understand and relate to theory and application. The tried and true methodology for presenting material gives your student the best opportunity to succeed in this course. From the detailed examples, to the homework problems, to the carefully developed solutions manual, you and your students can be confident the material is clearly explained and accurately represented. If you want the best book for your students, we feel Beer, Johnston's Mechanics of Materials, 6th edition is your only choice.

Makoto Ohsaki, Kiyohiro Ikeda ... 269 pages - Publisher: Springer; (June, 2007) ... Language: English - ISBN-10: 0387681833 - ISBN-13: 978-0567088147 ...

This book focuses on the optimization of a geometrically-nonlinear structure under stability constraint. It presents a deep insight into optimization-based and computer-assisted stability design of discrete structures. Coverage combines design sensitivity analysis developed in structural optimization and imperfection-sensitivity analysis developed in stability analysis.

Klaus-Jurgen Bathe ... 1037 pages - Publisher: Prentice Hall; (1996) ... Language: English - ISBN-10: 8126529989 - ISBN-13: 978-8126529988

For courses in finite element methods, finite element analysis taught in departments of Civil, Mechanical, Aerospace, Agriculture, and Mechanics departments. Course for which this book is appropriate is usually taught to seniors or graduate students. Comprehensive: this text explores the full range of finite element methods used in engineering practice for actual applications in computer-aided design. It provides not only an introduction to finite element methods and the commonality in the various techniques, but explores state-of-the-art methods as well with a focus on what are deemed to become "classical techniques" procedures that will be standard and authoritative for finite element analysis for years to come.

Xian Liu, Wei Wu, Fulvio Tonon ... 382 pages - Publisher: ASCE; (May, 2010) ... Language: English - ISBN-10: 0784411077 - ISBN-13: 978-0784411070 ...

The pressure exerted by the population increase, the sensitivity toward the environment, and the ever-increasing cost of the land, are just some of the reasons why underground excavations are necessary to societys health and future providing room for services, transportation of people and goods, water supply and disposal, sanitation, and storage.

The topics in this course come from an analysis of real requirements in data scientist job listings from the biggest tech employers. We'll cover the machine learning, AI, and data mining techniques real employers are looking for, including: Deep Learning / Neural Networks (MLP's, CNN's, RNN's) with TensorFlow and Keras + Sentiment analysis + Image recognition and classification + Regression analysis + K-Means Clustering + Principal Component Analysis + Train/Test and cross validation + Bayesian Methods + Decision Trees and Random Forests + Multivariate Regression + Multi-Level Models + Support Vector Machines + Reinforcement Learning + Collaborative Filtering + K-Nearest Neighbor + Bias/Variance Tradeoff + Ensemble Learning + Term Frequency / Inverse Document Frequency + Experimental Design and A/B Tests.