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Friday, September 20, 2019 , ,
Gianluca Ranzi, Raymond Ian Gilbert ... 576 pages - Publisher: CRC Press; (August, 2014) ... Language: English - ISBN-10: 0415526442 - ISBN-13: 978-0415526449

Structural Analysis: Principles, Methods and Modelling outlines the fundamentals involved in analyzing engineering structures, and effectively presents the derivations used for analytical and numerical formulations. This text explains practical and relevant concepts, and lays down the foundation for a solid mathematical background that incorporates MATLAB (no prior knowledge of MATLAB is necessary), and includes numerous worked examples. Effectively Analyze Engineering Structures Divided into four parts, the text focuses on the analysis of statically determinate structures. It evaluates basic concepts and procedures, examines the classical methods for the analysis of statically indeterminate structures, and explores the stiffness method of analysis that reinforces most computer applications and commercially available structural analysis software. In addition, it covers advanced topics that include the finite element method, structural stability, and problems involving material nonlinearity.
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Thursday, September 19, 2019 , , , ,
MoonJung Cho, Wendy L. Martinez ... 286 pages - Publisher: Chapman and Hall/CRC; (December, 2014) ... Language: English - ISBN-10: 1466596562 - ISBN-13: 978-1466596566

Fulfilling the need for a practical user’s guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version of MATLAB and its extensive functionality for statistics. Assuming a basic knowledge of statistics and probability as well as a fundamental understanding of linear algebra concepts, this book: Covers capabilities in the main MATLAB package, the Statistics Toolbox, and the student version of MATLAB * Presents examples of how MATLAB can be used to analyze data * Offers access to a companion website with data sets and additional examples * Contains figures and visual aids to assist in application of the software *Explains how to determine what method should be used for analysis. Statistics in MATLAB: A Primer is an ideal reference for undergraduate and graduate students in engineering, mathematics, statistics, economics, biostatistics, and computer science. It is also appropriate for a diverse professional market, making it a valuable addition to the libraries of researchers in statistics, computer science, data mining, machine learning, image analysis, signal processing, and engineering.
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Thursday, September 19, 2019 , ,
Russell C. Hibbeler ... 720 pages - Publisher: Pearson; 9th edition (July, 2014) ... Language: English - ISBN-10: 0133942848 - ISBN-13: 978-0133942842.

Structural Analysis is intended for use in Structural Analysis courses. It is also suitable for individuals planning a career as a structural engineer. Structural Analysis provides readers with a clear and thorough presentation of the theory and application of structural analysis as it applies to trusses, beams, and frames. Emphasis is placed on teaching students to both model and analyze a structure. Hibbeler's problem solving methodology, Procedures for Analysis, provides readers with a logical, orderly method to follow when applying theory.

Teaching and Learning Experience: To provide a better teaching and learning experience, for both instructors and students, this text provides: Current Material: To keep your course current and relevant, the Ninth Edition includes new discussions and a new chapter. Problem Solving: A variety of problem types, at varying levels of difficulty, stress practical situations encountered in professional practice. Visualization: The photorealistic art program is designed to help students visualize difficult concepts. Review and Student Support: A thorough end of chapter review provides students with a concise tool for reviewing chapter contents. Triple Accuracy Checking: The accuracy of the text and problem solutions has been thoroughly checked by three other parties.
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