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Schaum's Outline of Electric Circuits / 7th edition
2017 || Paperback || Mahmood Nahvi e.a. || McGraw-Hill
Tough Test Questions? Missed Lectures? Not Enough Time? Textbook too pricey?Fortunately, there's Schaum's. This all-in-one-package includes more than 500 fully-solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to 25 detailed videos featuring math instructors who explain how to solve the most commonly tested problems-it's just like having your own virtual tutor! You'll find everything you need to build your confidence, skills, ...
Robotics, Vision and Control / 2nd edition
Fundamental Algorithms In MATLAB (R) Second, Completely Revised, Extended And Updated Edition : 118
2017 || Paperback || Peter Corke || Springer
Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. The research community has developed a large body of such algorithms but for a newcomer to the field this can be quite daunting. For over 20 years the author has maintained two open-source MATLAB (R) Toolboxes, one for robotics and one for vision.
They provide implementations of many important algorithms and allow users to work with real problems, not...
Applied Statistics and Probability for Engineers / 7th edition
2019 || Paperback || Douglas C. Montgomery e.a. || Wiley
Applied Statistics and Probability for Engineers provides a practical approach to probability and statistical methods. Students learn how the material will be relevant in their careers by including a rich collection of examples and problem sets that reflect realistic applications and situations. This product focuses on real engineering applications and real engineering solutions while including material on the bootstrap, increased emphasis on the use of p-value, coverage of equivalence testin...
Measurements and their Uncertainties
A practical guide to modern error analysis
2021 || Paperback || Thomas Ifan || Oxford University Press
This short guide to modern error analysis is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed. The necessary concepts are introduced where needed and illustrated graphically. The book emphasises the use of computers for error calculations and data fitting.