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Mario Paz, Young Hoon Kim ... 634 pages - Publisher: Springer; 6th edition (November, 2018) ... Language: English - ISBN-10: 3319947427 - ISBN-13: 978-3319947426.

The sixth edition of Structural Dynamics: Theory and Computation is the complete and comprehensive text in the field. It presents modern methods of analysis and techniques adaptable to computer programming clearly and easily. The book is ideal as a text for advanced undergraduates or graduate students taking a first course in structural dynamics. It is arranged in such a way that it can be used for a one- or two-semester course, or span the undergraduate and graduate levels. In addition, this text will serve the practicing engineer as a primary reference. The text differs from the standard approach of other presentations in which topics are ordered by their mathematical complexity. This text is organized by the type of structural modeling. The author simplifies the subject by presenting a single degree-of-freedom system in the first chapters, then moves to systems with many degrees-of-freedom in the following chapters. Finally, the text moves to applications of the first chapters and special topics in structural dynamics.

This revised textbook intends to provide enhanced learning materials for students to learn structural dynamics, ranging from basics to advanced topics, including their application. When a line-by-line programming language is included with solved problems, students can learn course materials easily and visualize the solved problems using a program. Among several programming languages, MATLAB has been adopted by many academic institutions across several disciplines. Many educators and students in the U.S. and many international institutions can readily access MATLAB, which has an appropriate programming language to solve and simulate problems in the textbook. It effectively allows matrix manipulations and plotting of data. Therefore, multi-degree-of freedom problems can be solved in conjunction with the finite element method using MATLAB. 

The revised version will include: Solved 34 examples in Chapters 1 through 22 along with MATLAB codes. + Basics of earthquake design with current design codes (ASCE 7-16 and IBC 2018). + Additional figures obtained from MATLAB codes to illustrate time-variant structural behavior and dynamic characteristics (e.g., time versus displacement and spectral chart).

B. S. Grewal ... 1597 pages - Publisher: Mercury Learning and Information; (September, 2018) ... Language: English - AmazonSIN: B07HHJ611G.

This book is intended as an introduction to numerical methods for scientists and engineers. Providing an excellent balance of theoretical and applied topics, it shows the numerical methods used with C, C++, and MATLAB.

Brief Table of Contents: 1: Approximations and Errors in Computation. 2: Solution of Algebraic and Transcendental Equations. 3: Solution of Simultaneous Algebraic Equations. 4: Matrix Inversion and the Eigenvalue Problem. 5: Empirical Laws and Curve-Fitting. 6: Finite Differences. 7: Interpolation. 8: Numerical Differentiation and Integration. 9: Difference Equations. 10: Numerical Solution of Ordinary Differential Equations. 11: Numerical Solution of Partial Differential Equations. 12: Linear Programming. 13: A Brief Review of Computers. 14: Numerical Methods Using C. 15: Numerical Methods Using C++. 16: Numerical Methods Using MATLAB. Appendix A: Useful Information. Appendix B: Answers to Exercises. Appendix C: Bibliography. Index.

Thomas Cleff ... 497 pages - Publisher: Springer; (July, 2019) ... Language: English - AmazonSIN: B07V82V6L6.

This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.

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