Most Searched Titles

Practical internet of things security : design a security framework for an Internet connected ecosystem

Drew Van Duren,

A Brave New World Vulnerabilities, Attacks and Countermeasures Approaches to Secure Development Secure Design of IoT Devices Operational Security Life Cycle Cryptographic Fundamentals for IoT Security Engineering Identity and Access Management Solutions for the IoT Mitigating IoT Privacy Concerns Setting Up an IoT Compliance Monitoring Program Cloud Security for the IoT IoT Incident Response and Forensic Analysis. With the advent of the Internet of Things (IoT), businesses have to defend against new types of threat. The business ecosystem now includes the cloud computing infrastructure, mobile and fixed endpoints that open up new attack surfaces. It therefore becomes critical to ensure that cybersecurity threats are contained to a minimum when implementing new IoT services and solutions. This book shows you how to implement cybersecurity solutions, IoT design best practices, and risk mitigation methodologies to address device and infrastructure threats to IoT solutions. In this second edition, you will go through some typical and unique vulnerabilities seen within various layers of the IoT technology stack and also learn new ways in which IT and physical threats interact. You will then explore the different engineering approaches a developer/manufacturer might take to securely design and deploy IoT devices. Furthermore, you will securely develop your own custom additions for an enterprise IoT implementation. You will also be provided with actionable guidance through setting up a cryptographic infrastructure for your IoT implementations. You will then be guided on the selection and configuration of Identity and Access Management solutions for an IoT implementation. In conclusion, you will explore cloud security architectures and security best practices for operating and managing cross-organizational, multi-domain IoT deployments.

Date Published:2018

Flex : the art and science of leadership in a changing world

Hull, Jeffrey W.,

Mental Leadership -- Emotional Leadership --Somatic Leadership. "From one of the world's preeminent leadership coaches, an insightful, indispensable guide to effective leadership. For the first time, leadership expert Jeffrey Hull shares the secrets, strategies, and science underlying his, and his clients', successes. Interweaving real-life stories with practical tips and the latest evidence-based research, he equips readers with the insights they need to thrive in today's world. We are in the age of the postheroic leader. Once, to move up the corporate ladder and succeed at the top, you simply had to set goals, motivate the troops, delegate to underlings, and groom a successor--probably one who looked and behaved just like you. But this white knight has become an anachronism. Whether a person is twenty-five or fifty, if they're leading a team now, chances are that they're managing a kaleidoscope of people from a variety of cultures, across a range of ages, all of whom are wired together 24/7. These changing demographics and structures have led to a seismic shift in terms of the tools needed to successfully manage and grow within a company: charisma and strategic thinking abilities now matter less than qualities such as vulnerability and relatability. Based on his popular classes with Harvard Medical School physicians and New York University business students, Hull has identified the six key elements that leaders in this new workplace need to succeed, known as F.I.E.R.C.E.: Flexibility, Intentionality, Emotional Intelligence, Realness, Collaboration, and Engagement. From start-ups to universities to Fortune 500 companies, he's been able to help leaders across the board develop the skill sets that have advanced their careers and won them accolades"-- "From one of the world's preeminent leadership coaches, an insightful, indispensable guide to effective leadership"--

Date Published:2019

Acoustic breakout noise from non-circular muffler shells

Gudimella, Gowtham.

A theoretical treatment of sound transmission through the walls of non-circular muffler shell is done for plane mode transmission within the muffler shell. Non-circular muffler shells include distorted circular (due to the welding seam), elliptical (oval) and flat-oval shells. An analytical formulation has been developed in this thesis in order to predict the breakout noise with the acoustical and structural wave coupling phenomena. First, progressive wave model is chosen. Then, the Transverse Transmission Loss (TTL) is predicted at different frequencies of interest. This formulation is extended to the standing wave model by which results for anechoic, rigid end and open end boundary conditions are obtained. Transverse transmission loss (TTL) predicted, based on the analytical model, is compared and validated with computational results using a commercial 3-D numerical simulation (vibro-acoustic) software package like SYSNOISE. Same model is used for non-circular shell with flat-oval configuration. And also breakout noise obtained from different configurations like circular, elliptical, flat-oval, rectangular and square, all having the same equivalent radius, are compared. Finally, by incorporating effects of finite length of the muffler and end plates, analytical model has been developed for a circular shell. Parametric studies have been done wherever required to evolve the design guidelines which will be helpful for designers.

Date Published:2018

Formal verification of control system software

Garoche, Pierre-Loic,

An essential introduction to the analysis and verification of control systems softwareThe verification of control systems software is critical to a host of technologies and industries, from aeronautics and medical technology to the cars we drive--the failure of controller software can cost people their lives. In this authoritative and accessible book, Pierre-Lo�ic Garoche provides control engineers and computer scientists with an indispensable introduction to the formal techniques for analyzing and verifying this important class of software.Too often, control engineers are unaware of the issues surrounding the verification of software, while computer scientists tend to be unfamiliar with the specificities of controller software. Garoche provides a unified approach especially geared to graduate students in both fields, covering formal verification methods as well as the design and verification of controllers. He presents a wealth of new verification techniques for performing exhaustive analysis of controller software. These include new means to compute nonlinear invariants, the use of convex optimization tools, and methods for dealing with numerical imprecisions such as floating point computations occurring in the analyzed software.As the autonomy of these systems continues to increase--such as in autonomous cars, drones, and satellites and landers--the numerical functions in critical systems are growing ever more advanced. The techniques presented here are essential to support the formal analysis of the controller software being used in these new and emerging technolo.

Date Published:

Thrifty science : making the most of materials in the history of experiment

Werrett, Simon,

Introduction -- Thrifty science: oeconomy and experiment -- Making a home for experiment -- Shifty science: how to make use of things -- The power of lasting: maintenance and cleaning -- The broken world: repairs and recycling -- Secondhand science -- Auctions and the dismantling of science -- The palatial laboratory: economy and experiment -- Conclusion. If the twentieth century saw the rise of “Big Science,” then the seventeenth and eighteenth centuries were surely an age of thrift. As Simon Werrett’s new history shows, frugal early modern experimenters transformed their homes into laboratories as they recycled, repurposed, repaired, and reused their material possessions to learn about the natural world. Thrifty Science explores this distinctive culture of experiment and demonstrates how the values of the household helped to shape an array of experimental inquiries, ranging from esoteric investigations of glowworms and sour beer to famous experiments such as Benjamin Franklin’s use of a kite to show lightning was electrical and Isaac Newton’s investigations of color using prisms. Tracing the diverse ways that men and women put their material possessions into the service of experiment, Werrett offers a history of practices of recycling and repurposing that are often assumed to be more recent in origin. This thriving domestic culture of inquiry was eclipsed by new forms of experimental culture in the nineteenth century, however, culminating in the resource-hungry science of the twentieth. Could thrifty science be making a comeback today, as scientists grapple with the need to make their research more environmentally sustainable?

Date Published:2019

Engineering Agile big-data systems

Feeney, Kevin,

To be effective, data-intensive systems require extensive ongoing customization to reflect changing user requirements, organizational policies, and the structure and interpretation of the data they hold. Manual customization is expensive, time-consuming, and error-prone. In large complex systems, the value of the data can be such that exhaustive testing is necessary before any new feature can be added to the existing design. In most cases, the precise details of requirements, policies and data will change during the lifetime of the system, forcing a choice between expensive modification and continued operation with an inefficient design. Engineering Agile Big-Data Systems outlines an approach to dealing with these problems in software and data engineering, describing a methodology for aligning these processes throughout product life-cycles. It discusses tools which can be used to achieve these goals, and, in a number of case studies, shows how the tools and methodology have been used to improve a variety of academic and business systems.

Date Published:2018

ARM-based microcontroller projects using MBED

Ibrahim, Dogan,

ARM-based Microcontroller Projects Using mbed gives readers a good understanding of the basic architecture and programming of ARM-based microcontrollers using ARM’s mbed software. The book presents the technology through a project-based approach with clearly structured sections that enable readers to use or modify them for their application. Sections include: Project title, Description of the project, Aim of the project, Block diagram of the project, Circuit diagram of the project, Construction of the project, Program listing, and a Suggestions for expansion. This book will be a valuable resource for professional engineers, students and researchers in computer engineering, computer science, automatic control engineering and mechatronics. Includes a wide variety of projects, such as digital/analog inputs and outputs (GPIO, ADC, DAC), serial communications (UART, 12C, SPI), WIFI, Bluetooth, DC and servo motors Based on the popular Nucleo-L476RG development board, but can be easily modified to any ARM compatible processor Shows how to develop robotic applications for a mobile robot Contains complete mbed program listings for all the projects in the book.

Date Published:2019

Economics : principles, problems, and policies

McConnell, Campbell R.

Pt.1. An introduction to economics and the economy -- Pt.2. Macroeconomics Measurement and Basic Concepts -- Pt.3. Macroeconomic models and Fiscal Policy -- Pt.4. Money, Banking, and monetary policy -- Pt.5. Long-run perspectives and macroeconomic debates -- Pt.6. Microeconomics of product markets -- Pt.7. Microeconomics of resource markets -- Pt.8. Microeconomics of Government -- Pt.9. Microeconomics issues and policies -- Pt.10. International economics. McConnell and Brue’s Economics: Principles, Problems, and Policies is the leading Principles of Economics textbook because it is innovative and teaches students in a clear, unbiased way. The 17th Edition builds upon the tradition of leadership with three main goals: help the beginning student master the principles essential for understanding the economizing problem, specific economic issues, and the policy alternatives; help the student understand and apply the economic perspective and reason accurately and objectively about economic matters; and promote a lasting student interest in economics and the economy.

Date Published:2008

Quantitative financial risk management

Miller, Michael B.,

Overview of financial risk management -- Market risk: standard deviation -- Market risk: value at risk -- Market risk: expected shortfall, extreme value theory, and stress testing -- Market risk: portfolios and correlation -- Market risk: beyond portfolio correlation -- Market risk: risk attribution -- Credit risk -- Liquidity risk -- Bayesian analysis -- Behavioral economics and risk. "Our modern economy depends on financial markets. When financial markets work, they allow people to buy homes and save for retirement; they allow companies to provide the goods and services that we enjoy and depend on. When financial markets don't work, companies fail, people lose their homes, lose their savings, and lose their jobs. Yet financial markets continue to grow in size and complexity and the management of financial risk has never been more important. Quantitative Financial Risk Management is designed to teach students and risk professionals about financial risk management with an emphasis on financial models and mathematical techniques. Each chapter provides numerous sample problems and end of chapter questions. The book provides clear examples of how these models are used in practice and encourages readers to think about the limits and appropriate use of financial models"--

Date Published:2019

Digital startups in transition economies : challenges for management, entrepreneurship and education

Skala, Agnieszka,

Intro; Contents; List of Figures; List of Tables; Introduction; Chapter 1: The Startup as a Result of Innovative Entrepreneurship; 1.1 Entrepreneurship and Innovation; Innovators and Imitators; Innovative Entrepreneurship and Economic Development; Innovation and the Size of the Enterprise; 1.2 Innovative Entrepreneurship in the Digital Revolution Era; 1.3 Startups: Literature Research; 1.4 Startup Definition: A Discussion; 1.5 Spiral Definition of a Startup; 1.6 Chapter Summary; References; Chapter 2: Characteristics of Startups; 2.1 Desk Research: Literature Review. Global Startup Ecosystem 2015 RankingMoneyTree Report; The PwC Report: "The Startup Economy"; European Startup Monitor; Montreal Startup Ecosystem Report; Startup Research Worldwide: A Summary; 2.2 Own Research: "Polish Startups"; Method; The Questionnaire; Sample Selection; Pilot Study; Results of the 2015-2018 Research; 2.3 Own Research: Startups in the Visegr�ad Group Countries; Conditions for Startups: Macroeconomic Data; Conditions for Startups: Innovation and Business; Comparative Analysis of Startups in the Visegr�ad Countries; 2.4 The Main Characteristics Differentiating Start 2.5 The Characteristics of Startups Using the "Spiral Definition of a Startup" and the Main Differentiating Variables2.6 Chapter Summary; References; Chapter 3: Startups as a Challenge for Management and Education; 3.1 Contemporary Challenges for Management; 3.2 The Tradition of Management in Poland; 3.3 Startups as a Challenge for Management; 3.4 Lean Startup as a Proposal for the Methodology of Managing Startup Development; Discussion of Lean Startup as a Methodology for Managing a Startup; 3.5 Management Education; 3.6 Education for Entrepreneurship; 3.7 Education for Start. Education for Startups: Examples of Author's Own ImplementationsWarsaw University of Technology: Innovative Entrepreneurship; Warsaw University of Technology: "Startup Management"; SPIN Innovation Nest Entrepreneurship School: Workshops for Startups; 3.8 Chapter Summary; References; Chapter 4: Conclusions; In. This book responds to the growing demand for a scientific approach to the concept of startups, which are a manifestation of the digital revolution and an innovation-driven economy. With a focus on digital enterprises, the author presents empirical research carried out over 4 years in collaboration with the Startup Poland Foundation, and provides a developed universal definition of a startup. This book highlights the necessity of a clear definition, in order for startups to be treated as a permanent economic phenomenon, rather than a temporary whim. Addressing the crucial need for an effective startup management methodology and more education on this form of entrepreneurship, Digital Startups in Transition Economies offers guidance for those researching entrepreneurship and innovation, as well as entrepreneurs, public institutions, startup accelerators and technology transfer centres.

Date Published:2019

Digital and Kalman Filtering : an Introduction to Discrete-Time Filtering and Optimum Linear Estimation.

Bozic, S. M,

This text for advanced undergraduates and graduate students provides a concise introduction to increasingly important topics in electrical engineering: digital filtering, filter design, and applications in the form of the Kalman and Wiener filters. The first half focuses on digital filtering, covering FIR and IIR filter design and other concepts. The second half addresses filtering noisy data to extract a signal, with chapters on nonrecursive (FIR Wiener) estimation, recursive (Kalman) estimation, and optimum estimation of vector signals. The treatment is presented in tutorial form, but readers are assumed to be familiar with basic circuit theory, statistical averages, and elementary matrices. Central topics are developed gradually, including both worked examples and problems with solutions, and this second edition features new material and problems.

Date Published:2018

Customer accounting : creating value with customer analytics

Bonacchi, Massimiliano,

Intro; Foreword; Contents; Chapter 1: Introduction; 1.1 Customer-Centricity in a Fast-Evolving Landscape; 1.2 Motivation and Objectives of This Book; 1.3 Theoretical Framework: Organizational Architecture; 1.4 Outline of This Book; References; Chapter 2: Customer Analytics: Definitions, Measurement and Models; 2.1 Customer Analytics: Definitions of CP, CLV and CE; 2.2 CLV Formulae: Sources and Variations; 2.3 Applications of CLV in Subscription-Based Business Settings; 2.4 CLV Scorecard and Cohort Analysis: An Application in an SBE; 2.4.1 The CLV Scorecard as a Performance Measurement System. 2.4.2 Benefits of CLV Scorecard2.4.3 CLV Cohort Analysis: Rationale; 2.4.4 CLV Cohort Analysis: A Practical Illustration; 2.5 Conclusions and Implications; References; Chapter 3: Customer Analytics for Internal Decision-Making and Control; 3.1 Review of Accounting and Marketing Literature; 3.2 Evaluation of the Literature; 3.3 A Case Study on the Adoption of Customer Analytics; 3.3.1 Case Background and Research Methodology; 3.3.2 Organizational Structure; 3.3.3 The Performance Measurement System; 3.3.4 The Reward System; 3.3.5 Conclusions and Implications from the Case Study. 3.4 An Exploratory Cross-Sectional Survey on the Adoption of Customer Analytics3.4.1 Sample and Data Collection; 3.4.2 Descriptive Statistics and Univariate Analysis; 3.4.3 Multivariate Analysis; 3.4.4 Conclusions and Implications from the Survey; Appendix Chapter 3: Questionnaire; References; Chapter 4: Customer Equity for External Reporting and Valuation; 4.1 Customers as the Most Valuable (Intangible) Asset; 4.2 Customer Franchise Is Missing in IFRS/US GAAP Financial Statements: How to Value It?; 4.3 Describing SBEs Business Model Using Customer Metrics. 4.4 Valuing SBEs Using Publicly Disclosed Customer Metrics: A Parsimonious Model to Estimate Customer Equity4.5 Customer Equity and Stock Returns: Empirical Evidence; 4.6 Beyond GAAP: Customer Metrics Reporting; References; Chapter 5: Conclusions and Trends to Look Forward; 5.1 Looking Back and Looking Ahead; 5.2 Linking Online with Offline Commerce; 5.3 Enhanced Forms of Corporate Non-financial Reporting; 5.4 The Rising Impact of Artificial Intelligence on Modeling Customer Data; References. This book is designed to meet the needs of CFOs, accounting and financial professionals interested in leveraging the power of data-driven customer insights in management accounting and financial reporting systems. While academic research in Marketing has developed increasingly sophisticated analytical tools, the role of customer analytics as a source of value creation from an Accounting and Finance perspective has received limited attention. The authors aim to fill this gap by blending interdisciplinary academic rigor with practical insights from real-world applications. Readers will find thorough coverage of advanced customer accounting concepts and techniques, including the calculation of customer lifetime value and customer equity for internal decision-making and for external financial reporting and valuation. Beyond a professional audience, the book will serve as ideal companion reading for students enrolled in undergraduate, graduate, or MBA courses.

Date Published:2019

Lean entrepreneurship : innovation in the modern enterprise

Watt, George,

Introduction -- Their own worst enemy -- Unintended consequences -- Lean acceleration -- Inside the accelerator -- Innovation support structure -- Benefits beyond revenue -- Bootstrapping an incubation program -- Inspiring lean innovation -- Conclusion. Utilize this comprehensive guide in your organization to create a corporate incubator that protects innovative ideas from oppressive corporate proceses and culture and gives those ideas the resources and environment they need to grow and have the best possible chance to thrive. Innovation is hard. Ironically, innovation in a large enterprise can be even more difficult. Policies designed for mature businesses often crush emerging businesses along with the entrepreneurial spirit of the innovators. Procedures can make it difficult, even impossible, for innovative employees to get their ideas funded, or even seen. As a result, even companies with their roots in innovation can find themselves unable to innovate, with a devastating impact on employee morale and often resulting in the exodus of the most creative employees. In "Lean entrepreneurship" the authors leverage decades of personal experience innovating in large enterprises to explore the root causes of failure to innovate in established organizations, and offer a solution to the innovator's dilemma. The book includes a recipe for creating a repeatable program for innovating in large organizations, including tools, tips, and strategies developed by the authos as they created an innovative incubation program for a multi-billion-dollar technology company. It also offers a wealth of information to help aspiring intrapreneurs and entrepreneurs bring their ideas to life.

Date Published:2019

Natural computing for unsupervised learning

This book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and others. The book also includes information on the use of natural computing techniques for unsupervised learning tasks. It features several trending topics, such as big data scalability, wireless network analysis, engineering optimization, social media, and complex network analytics. It shows how these applications have triggered a number of new natural computing techniques to improve the performance of unsupervised learning methods. With this book, the readers can easily capture new advances in this area with a systematic understanding of the scope in depth. Readers can rapidly explore new methods and new applications at the junction between natural computing and unsupervised learning. Includes advances on unsupervised learning using natural computing techniques Reports on topics in emerging areas such as evolutionary multi-objective unsupervised learning Features natural computing techniques such as evolutionary multi-objective algorithms and many-objective swarm intelligence algorithms.

Date Published:2018

AI and Machine Learning for Coders : A Programmer's Guide to Artificial Intelligence

Moroney, Laurence, 26/09/2022.

The goal of the first half of the book is to help you learn how to use TensorFlow to build models with a variety of architectures. The only real prerequisite to this is understanding Python, and in particular Python notation for data and array processing. You might also want to explore Numpy, a Python library for numeric calculations. If you have no familiarity with these, they are quite easy to learn, and you can probably pick up what you need as you go along (although some of the array notation might be a bit hard to grasp). For the second half of the book, I generally will not teach the languages that are shown, but instead show how TensorFlow models can be used in them. So, for example, in the Android chapter (Chapter 13) you’ll explore building apps in Kotlin with Android studio, and in the iOS chapter (Chapter 14) you’ll explore building apps in Swift with Xcode. I won’t be teaching the syntax of these languages, so if you aren’t familiar with them, you may need a primer—Learning Swift by Jonathan Manning, Paris Buttfield-Addison, and Tim Nugent (O’Reilly) is a great choice. Foreword Preface Part I. Building Models 1. Introduction to TensorFlow 2. Introduction to Computer Vision 3. Going Beyond the Basics: Detecting Features in Images 4. Using Public Datasets with TensorFlow Datasets 5. Introduction to Natural Language Processing 6. Making Sentiment Programmable Using Embeddings 7. Recurrent Neural Networks for Natural Language Processing 8. Using TensorFlow to Create Text 9. Understanding Sequence and Time Series Data 10. Creating ML Models to Predict Sequences 11. Using Convolutional and Recurrent Methods for Sequence Models Part II. Using Models 12. An Introduction to TensorFlow Lite 13. Using TensorFlow Lite in Android Apps 14. Using TensorFlow Lite in iOS Apps 15. An Introduction to TensorFlow.js 16. Coding Techniques for Computer Vision in TensorFlow.js 17. Reusing and Converting Python Models to JavaScript 18. Transfer Learning in JavaScript 19. Deployment with TensorFlow Serving 20. AI Ethics, Fairness, and Privacy Index. If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving.

Date Published:2021

Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition

Jurafsky, Dan , 1962-

This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.

Date Published:2000

Speech and language processing

Jurafsky, Dan, 1962-

Pearson new international edition. An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology - at all levels and with all modern technologies - this book takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. Builds each chapter around one or more worked examples demonstrating the main idea of the chapter, usingthe examples to illustrate the relative strengths and weaknesses of various approaches. Adds coverage of statistical sequence labeling, information extraction, question answering and summarization, advanced topics in speech recognition, speech synthesis. Revises coverage of language modeling, formal grammars, statistical parsing, machine translation, and dialog processing. A useful reference for professionals in any of the areas of speech and language processing. -- Book Description from Website.

Date Published:2014

Machine learning I

Sana Rashid,

مشین لرننگ کی اقسام سپروائزڑلرننگ سپروائزڑلرننگ کی اقسام ان سپروائزڑلرننگ ان سپروائزڑلرننگ کی اقسام سیمی سپروائزڑلرننگ پروگرامنگ لینگویجز مشین لرننگ کی مارکیٹ میں مانگ اور سالانہ آمدنی مشین لرننگ اتنی مقبول کیوں ہے.

Date Published:2022

Machine learning II

Rashid, Sana,

1- اوورفٹنگ اورنڈرفٹنگ کیا ہے 2- ویلیڈیشن سیٹ اپروچ 3- کراس ویلیڈیشن کی اقسام 4- کی قدرکافیصلہ کیسےجائے 5- پائیتھن میں کراس ویلیڈیشن کانفاز 6- کیاہربارڈیٹاکوتقسیم کرناضروری ہے 7- ان سپروائزڈمشین لرننگ کی مشال 8- ان سپروائزڈ لرننگ کوکیوں استمعال کیا جاتاہے.

Date Published:2022

Schaum's outline of theory and problems of engineering mechanics : statics and dynamics

Nelson, E. W. (Eric William)

Rev. ed. of: Schaum's outline of theory and problems of engineering mechanics / by W.G. McLean and E.W. Nelson. 4th ed. c1988. Includes index. Students and professionals bought more than 300,000 copies of previous editions! This new edition draws on the best mathematical tool now available to solve problems. It applies the vector approach for elegance and simplicity in theory and problems whenever appropriate. Other times, for similarly adequate solutions, scalar methods are preferred. This study guide complements class texts and proves excellent for solo study and brushing up.

Date Published:1998