The Elements of Statics and Dynamics
Author | : Sidney Luxton Loney |
Publisher | : |
Total Pages | : 572 |
Release | : 1897 |
Genre | : Dynamics |
ISBN | : |
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Author | : Sidney Luxton Loney |
Publisher | : |
Total Pages | : 572 |
Release | : 1897 |
Genre | : Dynamics |
ISBN | : |
Author | : SL Loney |
Publisher | : Arihant Publications India limited |
Total Pages | : |
Release | : 2019-04-15 |
Genre | : |
ISBN | : 9351762572 |
The Classic Text Series is the only of its kind selection of classic pieces of work that started off as bestseller and continues to be the bestseller even today. These classic texts have been designed so as to work as elementary textbooks which play a crucial role in building the concepts from scratch as in-depth knowledge of concepts is necessary for students preparing for various entrance examinations.This book on Elements of Statics and Dynamics Part 1 (Statics)deals with graphically represented concepts of Statics. The present book has been divided into 18 chapters namely Introduction, Composition & Resolution of Forces, Parallel Forces, Moments, Couples, Equilibrium of a Rigid Body Acted on by Three Forces in a Plane, General Conditions of Equilibrium of a Body Acted on by Forces in One Plane, Centre of Gravity, Work, Machines, Friction, Miscellaneous, Some Additional Propositions and Vectors. Each chapter in the book contains relevant theoretical content for comprehensive understanding of the concepts along with number of solved examples with detailed explanations. At the end of each chapter, unsolved practice exercises have been provided to help aspirants revise the concepts discussed in the chapter.Answers and solutions to the practice exercises have been covered at the end of the book along with attachment containing terms used in the chapters.As the book covers all the elements of Statics (Part 1), hope this bookcovering Elements of Statics from the Classic Text Series will help the readers get in-depth insight intothe various elements of Statics.
Author | : S. L. Loney |
Publisher | : |
Total Pages | : 323 |
Release | : 2016 |
Genre | : Dynamics |
ISBN | : 9781781830789 |
Author | : Sl Loney |
Publisher | : |
Total Pages | : 0 |
Release | : 2023-02-27 |
Genre | : Study Aids |
ISBN | : 9789388127363 |
The "Classic Text Series" is a collection of books written by the most famous mathematicians of their time and has been proven over the years as the most preferred concept-building tool to learn mathematics. Arihant's imprints of these books are a way of presenting these timeless classics. Known as the early influencer on Ramanujan, SL LONELY was a great mathematician from 1800. The book "The Elements of Statistics And Dynamics" has been updated and deals with the modern treatment of complex concepts of Statics and Dynamics. Formulated as per the latest syllabus, this complete preparatory guide is compiled with detailed theories, Principle formulae, and a good collection of examples for an in-depth understanding of the concepts. The unique features accumulated in this book are: 1. Complete coverage of syllabus in 13 Chapters 2. Chapters are provided in a lucid manner 3. Enormous Examples for an in-depth understanding of topics 4. Works as an elementary textbook to build concepts 5. Chapterwise study for easy comprehension of concepts 6. Answers are provided at the end TABLE OF CONTENT: Velocity, Acceleration, Motion Under Gravity, The Laws of Motion, The Laws of Motion, Application to Simple Problems, Impulse, Work and Energy, Projectiles, Collision of Elastic Bodies, The Hodograph and Normal Accelerations, Motion on a Smooth Curve Under the Action of Gravity, Simple Harmonic Motion, Pendulums, Units and Dimensions, Vectors, Answers
Author | : Sidney Luxton Loney |
Publisher | : |
Total Pages | : 240 |
Release | : 1959 |
Genre | : Dynamics |
ISBN | : |
Author | : Sidney Luxton Loney |
Publisher | : |
Total Pages | : 318 |
Release | : 1891 |
Genre | : Dynamics |
ISBN | : |
Author | : Trevor Hastie |
Publisher | : Springer Science & Business Media |
Total Pages | : 545 |
Release | : 2013-11-11 |
Genre | : Mathematics |
ISBN | : 0387216065 |
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.