Описание: This textbook introduces beginning to intermediate science and engineering students to programming with Python. It encourages a stronger understanding of programming concepts through numerous science and engineering examples and Jupyter notebook problems, connecting programming tools and structures with real-world research and analysis.
Автор: Morrison, Faith A. Название: Uncertainty analysis for engineers and scientists ISBN: 1108745741 ISBN-13(EAN): 9781108745741 Издательство: Cambridge Academ Рейтинг: Цена: 6970.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Whether you are new to the sciences or an experienced engineer, this useful text provides a practical approach to performing error analysis.
Автор: Bazeley Pat Название: Practical Introduction to Mixed Methods for Business and Man ISBN: 1526462494 ISBN-13(EAN): 9781526462497 Издательство: Sage Publications Рейтинг: Цена: 5226.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An introduction to mixed methods research, explaining the types of research questions that mixed methods are best suited to answering and guiding students through using this method successfully in their own research-based dissertation or project.
Автор: Essick John Название: Hands-On Introduction to LabVIEW for Scientists and Engineers ISBN: 0190853069 ISBN-13(EAN): 9780190853068 Издательство: Oxford Academ Рейтинг: Цена: 11403.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Departing from the style of typical manuals, Hands-On Introduction to LabVIEW for Scientists and Engineers, Fourth Edition, uses a learn-by-doing approach to guide students through using this powerful laboratory tool. It helps students-who are not assumed to have prior experience-master the computer-based skills they need to carry out effective experiments.
The essential introduction to the principles and applications of feedback systems--now fully revised and expanded
This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems.
Karl str m and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. str m and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness.
Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback
Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots
Provides exercises at the end of every chapter
Comes with an electronic solutions manual
An ideal textbook for undergraduate and graduate students
Indispensable for researchers seeking a self-contained resource on control theory
Описание: Quantum Mechanics: An Introduction for Device Physicists and Electrical Engineers, Third Edition provides a complete course in quantum mechanics for students of semiconductor device physics and electrical engineering.
Автор: Anthony Cordingley, C?line Frigau Manning Название: Collaborative Translation: From the Renaissance to the Digital Age ISBN: 1350006025 ISBN-13(EAN): 9781350006027 Издательство: Bloomsbury Academic Рейтинг: Цена: 20592.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
For centuries, the art of translation has been misconstrued as a solitary affair. Yet, from Antiquity to the Middle Ages, groups of translators comprised of specialists of different languages formed in order to transport texts from one language and culture to another. Collaborative Translation uncovers the collaborative practices occluded in Renaissance theorizing of translation to which our individualist notions of translation are indebted. Leading translation scholars as well as professional translators have been invited here to detail their experiences of collaborative translation, as well as the fruits of their research into this neglected form of translation.
This volume offers in-depth analysis of rich, sometimes explosive, relationships between authors and their translators. Their negotiations of cooperation and control, assistance and interference, are shown here to shape the translation of prominent modern authors such as G nter Grass, Vladimir Nabokov and Haruki Murakami.
The advent of printing, the cultural institutions and the legal and political environment that regulate the production of translated texts have each formalized many of the inherently social and communicative practices of translation. Yet this publishing regime has been profoundly disrupted by the technologies that are currently revolutionizing collaborative translation techniques. This volume details the impact that this technological and environmental evolution is having upon the translator, proliferating sites and communities of collaboration, transforming traditional relationships with authors and editors, revisers, stage directors, actors and readers.
Автор: Holickэ Milan Название: Introduction to Probability and Statistics for Engineers ISBN: 3642433782 ISBN-13(EAN): 9783642433788 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book sets out fundamental principles of the probability theory, supplemented by theoretical models of random variables, evaluation of experimental data, sampling theory, distribution updating and tests of statistical hypotheses.
Описание: An introduction to mixed methods research, explaining the types of research questions that mixed methods are best suited to answering and guiding students through using this method successfully in their own research-based dissertation or project.
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