Analytical Performance Modeling for Computer Systems

Download or Read eBook Analytical Performance Modeling for Computer Systems PDF written by Y.C. Tay and published by Morgan & Claypool Publishers. This book was released on 2018-07-23 with total page 173 pages. Available in PDF, EPUB and Kindle.
Analytical Performance Modeling for Computer Systems
Author :
Publisher : Morgan & Claypool Publishers
Total Pages : 173
Release :
ISBN-10 : 9781681733906
ISBN-13 : 1681733900
Rating : 4/5 (06 Downloads)

Book Synopsis Analytical Performance Modeling for Computer Systems by : Y.C. Tay

Book excerpt: Engineering mechanics is one of the fundamental branches of science that is important in the education of professional engineers of any major. Most of the basic engineering courses, such as mechanics of materials, fluid and gas mechanics, machine design, mechatronics, acoustics, vibrations, etc. are based on engineering mechanics courses. In order to absorb the materials of engineering mechanics, it is not enough to consume just theoretical laws and theorems—a student also must develop an ability to solve practical problems. Therefore, it is necessary to solve many problems independently. This book is a part of a four-book series designed to supplement the engineering mechanics courses. This series instructs and applies the principles required to solve practical engineering problems in the following branches of mechanics: statics, kinematics, dynamics, and advanced kinetics. Each book contains between 6 and 8 topics on its specific branch and each topic features 30 problems to be assigned as homework, tests, and/or midterm/final exams with the consent of the instructor. A solution of one similar sample problem from each topic is provided. This first book contains seven topics of statics, the branch of mechanics concerned with the analysis of forces acting on construction systems without an acceleration (a state of the static equilibrium). The book targets the undergraduate students of the sophomore/junior level majoring in science and engineering.


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