Classical Loop-in-Loop Chains

Classical Loop-in-Loop Chains
Author: J.R. Smith
Publisher: Springer Science & Business Media
Total Pages: 204
Release: 2013-04-18
Genre: Science
ISBN: 1468491326

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ThiS is not only a book of instruction in chainmaking but it is also a work celebrating man's continuous creativity over thousands of years. At times something that man creates has far-reach ing effects; an example that quickly comes to mind is the wheel, which has enabled many devel opments, from pottery to computers. At this point it is important to note that these same wheels could not have been made without metal tools. From early Neolithic times on gold was a favorite choice in the making of jewelry. During the Neolithic period these "shining stones," probably alluvial, were prized. Actually gold was cold worked as if it were a stone. There is a surviving example of cold-worked gold from Catahuyuk (present day Turkey) estimated to have been made in 6500 B. C. There were only four metals on the earth's surface that were found in sufficient quantity to be used: gold, copper, silver, and meteoric iron. An understanding of the malleability of gold, and of the annealing effect of fire, changed jewelry making; new forms were found. Gold was no longer a piece of stone but a material that could be flattened and made very thin. Sheet and foil are the oldest forms of worked gold. The smiths' tools were stone, wood, and horn.

Classical Loop-in-loop Chains and Their Derivatives

Classical Loop-in-loop Chains and Their Derivatives
Author: Jean Reist Stark
Publisher: A&C Black
Total Pages: 0
Release: 2007
Genre: Chains (Jewelry)
ISBN: 9780713687699

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This is a comprehensive guide to making loop-in-loop chains in the classic manner. With clear instruction and foolproof illustrations, the authors show how to make dozens of variations on classic chains. The 'bible' on the subject.

Classical Loop-in-Loop Chains and Their Derivatives

Classical Loop-in-Loop Chains and Their Derivatives
Author: Jean Reist Stark
Publisher: Brynmorgen Press
Total Pages: 211
Release: 2003
Genre: Chains (Jewelry)
ISBN: 9780961598488

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"Clear step-by-step instructions will lead you through a total of 38 chain styles, all derived from the elegant loop-in-loop process. This edition also includes two dozen additions to the original text by the author."--Amazon.

Rigid Body Dynamics Algorithms

Rigid Body Dynamics Algorithms
Author: Roy Featherstone
Publisher: Springer
Total Pages: 276
Release: 2014-11-10
Genre: Education
ISBN: 1489975608

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Rigid Body Dynamics Algorithms presents the subject of computational rigid-body dynamics through the medium of spatial 6D vector notation. It explains how to model a rigid-body system and how to analyze it, and it presents the most comprehensive collection of the best rigid-body dynamics algorithms to be found in a single source. The use of spatial vector notation greatly reduces the volume of algebra which allows systems to be described using fewer equations and fewer quantities. It also allows problems to be solved in fewer steps, and solutions to be expressed more succinctly. In addition algorithms are explained simply and clearly, and are expressed in a compact form. The use of spatial vector notation facilitates the implementation of dynamics algorithms on a computer: shorter, simpler code that is easier to write, understand and debug, with no loss of efficiency.

Feedback Systems

Feedback Systems
Author: Karl Johan Åström
Publisher: Princeton University Press
Total Pages:
Release: 2021-02-02
Genre: Technology & Engineering
ISBN: 069121347X

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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 Åström 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. Åström 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

Classical Loop-in-loop Chains

Classical Loop-in-loop Chains
Author: Jean Reist Stark
Publisher:
Total Pages: 195
Release: 2019
Genre: Chains (Jewelry)
ISBN:

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Modern Robotics

Modern Robotics
Author: Kevin M. Lynch
Publisher: Cambridge University Press
Total Pages: 545
Release: 2017-05-25
Genre: Computers
ISBN: 1107156300

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A modern and unified treatment of the mechanics, planning, and control of robots, suitable for a first course in robotics.

Classical Mechanics

Classical Mechanics
Author: T. W. B. Kibble
Publisher: Imperial College Press
Total Pages: 504
Release: 2004
Genre: Science
ISBN: 9781860944352

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This is the fifth edition of a well-established textbook. It is intended to provide a thorough coverage of the fundamental principles and techniques of classical mechanics, an old subject that is at the base of all of physics, but in which there has also in recent years been rapid development. The book is aimed at undergraduate students of physics and applied mathematics. It emphasizes the basic principles, and aims to progress rapidly to the point of being able to handle physically and mathematically interesting problems, without getting bogged down in excessive formalism. Lagrangian methods are introduced at a relatively early stage, to get students to appreciate their use in simple contexts. Later chapters use Lagrangian and Hamiltonian methods extensively, but in a way that aims to be accessible to undergraduates, while including modern developments at the appropriate level of detail. The subject has been developed considerably recently while retaining a truly central role for all students of physics and applied mathematics.This edition retains all the main features of the fourth edition, including the two chapters on geometry of dynamical systems and on order and chaos, and the new appendices on conics and on dynamical systems near a critical point. The material has been somewhat expanded, in particular to contrast continuous and discrete behaviours. A further appendix has been added on routes to chaos (period-doubling) and related discrete maps. The new edition has also been revised to give more emphasis to specific examples worked out in detail.Classical Mechanics is written for undergraduate students of physics or applied mathematics. It assumes some basic prior knowledge of the fundamental concepts and reasonable familiarity with elementary differential and integral calculus.

Introduction to Effective Field Theory

Introduction to Effective Field Theory
Author: C. P. Burgess
Publisher: Cambridge University Press
Total Pages: 665
Release: 2020-12-10
Genre: Science
ISBN: 0521195470

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This advanced, accessible textbook on effective field theories uses worked examples to bring this important topic to a wider audience.

Foundations of Data Science

Foundations of Data Science
Author: Avrim Blum
Publisher: Cambridge University Press
Total Pages: 433
Release: 2020-01-23
Genre: Computers
ISBN: 1108617360

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This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.