Engineers need to be familiar with the fundamental principles and concepts in materials and structures in order to be able to design structurers to resist failures. For 4 decades, this book has provided engineers with these fundamentals.

Thoroughly updated, the book has been expanded to cover everything on materials and structures that engineering students are likely to need. Starting with basic mechanics, the book goes on to cover modern numerical techniques such as matrix and finite element methods. There is also additional material on composite materials, thick shells, flat plates and the vibrations of complex structures. Illustrated throughout with worked examples, the book also provides numerous problems for students to attempt.
New edition introducing modern numerical techniques, such as matrix and finite element methods
Covers requirements for an engineering undergraduate course on strength of materials and structures

"Read even the first chapter of this extraordinary book and you'll find yourself cheering, screaming, jumping up and down with excitement. The companies described in this book are decades ahead of the reengineers -- and you don't need to be a Bill Gates or a Jack Welch to put their ideas into practice today." -- George Gendron, editor in chief, Inc.

"Companies that practice open-book management seem to have captured some sort of lightning in a bottle." -- Chris Lee, Training

"This book should be required reading in corporate America." -- Chicago Tribune

"If you want to give your preconceived notions a good kick in the you-know-where, give Case the opportunity to articulate the merits of open-book management." -- Entrepreneur

Open-book management is not so much a technique as a way of thinking, a process that actively involves employees in the financial life of the company. Numerous companies have already found that employees who are informed and aware of the company's financial situation are motivated to seek solutions to problems and assume a greater degree of responsibility for its performance. John Case begins by examining the current competitive climate and the history of established management techniques. He shows how the traditional treatment of workers as "hired hands" with little involvement or responsibility beyond their own area is no longer effective in today's ever more competitive global environment.

Case clearly and carefully explains the principles of open-book management: timely sharing of crucial financial information with employees; educating the employees to understand and apply the information; empowering employees to apply the information to their own work; and offering employees a stake in the successful implementation of their ideas. Open-book management will take different forms at every company, Case notes, but he offers a wide range of suggestions and guidelines for implementing these principles. He concludes with a series of in-depth case studies, featuring companies of various sizes and financial situations that have successfully implemented open-book management. Open-Book Management is the indispensable guide to teaching employees how to think and act like owners.

1.1. What This Book is About This book is a study of * subrecursive programming systems, * efficiency/program-size trade-offs between such systems, and * how these systems can serve as tools in complexity theory. Section 1.1 states our basic themes, and Sections 1.2 and 1.3 give a general outline of the book. Our first task is to explain what subrecursive programming systems are and why they are of interest. 1.1.1. Subrecursive Programming Systems A subrecursive programming system is, roughly, a programming language for which the result of running any given program on any given input can be completely determined algorithmically. Typical examples are: 1. the Meyer-Ritchie LOOP language [MR67,DW83], a restricted assem- bly language with bounded loops as the only allowed deviation from straight-line programming; 2. multi-tape 'lUring Machines each explicitly clocked to halt within a time bound given by some polynomial in the length ofthe input (see [BH79,HB79]); 3. the set of seemingly unrestricted programs for which one can prove 1 termination on all inputs (see [Kre51,Kre58,Ros84]); and 4. finite state and pushdown automata from formal language theory (see [HU79]). lOr, more precisely, the collection of programs, p, ofsome particular general-purpose programming language (e. g., Lisp or Modula-2) for which there is a proof in some par- ticular formal system (e.g., Peano Arithmetic) that p halts on all inputs.

"Inc." magazine calls it one of "the best, clearest guides to the numbers" on the market. Readers agree, saying it's exactly "what i need to know" and calling it a "must-read" for decision makers without expertise in finance. Since its release in 2006, "Financial Intelligence" has become a favorite among managers who need a guided tour through the numbers - helping them to understand not only what the numbers really mean, but also why they matter. This new, completely updated edition brings the numbers up to date and continues to teach the basics of finance to managers who need to use financial data to drive their business. It also addresses issues that have become even more important in recent years - including questions around the financial crisis and those around broader financial and accounting literacy. Accessible, jargon-free, and filled with entertaining stories of real companies, "Financial Intelligence" gives non-financial managers the confidence to understand the nuance beyond the numbers - to help bring everyday work to a new level.

1.1. What This Book is About This book is a study of * subrecursive programming systems, * efficiency/program-size trade-offs between such systems, and * how these systems can serve as tools in complexity theory. Section 1.1 states our basic themes, and Sections 1.2 and 1.3 give a general outline of the book. Our first task is to explain what subrecursive programming systems are and why they are of interest. 1.1.1. Subrecursive Programming Systems A subrecursive programming system is, roughly, a programming language for which the result of running any given program on any given input can be completely determined algorithmically. Typical examples are: 1. the Meyer-Ritchie LOOP language [MR67,DW83], a restricted assem- bly language with bounded loops as the only allowed deviation from straight-line programming; 2. multi-tape 'lUring Machines each explicitly clocked to halt within a time bound given by some polynomial in the length ofthe input (see [BH79,HB79]); 3. the set of seemingly unrestricted programs for which one can prove 1 termination on all inputs (see [Kre51,Kre58,Ros84]); and 4. finite state and pushdown automata from formal language theory (see [HU79]). lOr, more precisely, the collection of programs, p, ofsome particular general-purpose programming language (e. g., Lisp or Modula-2) for which there is a proof in some par- ticular formal system (e.g., Peano Arithmetic) that p halts on all inputs.

Algorithmic learning theory is mathematics about computer programs which learn from experience. This involves considerable interaction between various mathematical disciplines including theory of computation, statistics, and c- binatorics. There is also considerable interaction with the practical, empirical ?elds of machine and statistical learning in which a principal aim is to predict, from past data about phenomena, useful features of future data from the same phenomena. The papers in this volume cover a broad range of topics of current research in the ?eld of algorithmic learning theory. We have divided the 29 technical, contributed papers in this volume into eight categories (corresponding to eight sessions) re?ecting this broad range. The categories featured are Inductive Inf- ence, Approximate Optimization Algorithms, Online Sequence Prediction, S- tistical Analysis of Unlabeled Data, PAC Learning & Boosting, Statistical - pervisedLearning, LogicBasedLearning, andQuery&ReinforcementLearning. Below we give a brief overview of the ?eld, placing each of these topics in the general context of the ?eld. Formal models of automated learning re?ect various facets of the wide range of activities that can be viewed as learning. A ?rst dichotomy is between viewing learning as an inde?nite process and viewing it as a ?nite activity with a de?ned termination. Inductive Inference models focus on inde?nite learning processes, requiring only eventual success of the learner to converge to a satisfactory conclusion.

As an HR manager, you're expected to use financial data to make decisions, allocate resources, and budget expenses. But if you're like many human resource practitioners, you may feel uncertain or uncomfortable incorporating financials into your day-to-day work. Using the groundbreaking formula they introduced in their book Financial Intelligence: A Manager's Guide to Knowing What the Numbers Really Mean, Karen Berman and Joe Knight present the essentials of finance specifically for HR experts. Drawing on their work training tens of thousands of managers and employees at leading organizations worldwide, the authors provide a deep understanding of the basics of financial management and measurement, along with hands-on activities to practice what you are reading. You'll discover: * Why the assumptions behind financial data matter * What your company's income statement, balance sheet, and cash flow statement really reveal * Which financials may be needed when you're developing a human capital strategy * How to calculate return on investment * Ways to use financial information to better support your business units and do your own job * How to instill financial intelligence throughout your team Authoritative and accessible, Financial Intelligence for HR Professionals, empowers you to "talk numbers" confidently with your boss, colleagues, and direct reports -- and understand how the financials impact your part of the business.

This Is A New Release Of The Original 1697 Edition.

This volume is comprised of four books: Of the Creation of the World; The Center or Circle of the Life of Man: or, the Human Egg of Generation; The Angelical Guide, or the Lott of Man: showing all the Chances and Contingencies in this present World; and the Experimental Knowledge of several Examples; proving the Truth and Certainty of these our Angelical Lotts. Each book includes charts to illustrate key points. Due to the age and scarcity of the original we reproduced, some pages may be spotty, faded or difficult to read.

This volume is comprised of four books: Of the Creation of the World; The Center or Circle of the Life of Man: or, the Human Egg of Generation; The Angelical Guide, or the Lott of Man: showing all the Chances and Contingencies in this present World; and the Experimental Knowledge of several Examples; proving the Truth and Certainty of these our Angelical Lotts. Each book includes charts to illustrate key points. Due to the age and scarcity of the original we reproduced, some pages may be spotty, faded or difficult to read.

This volume is comprised of four books: Of the Creation of the World; The Center or Circle of the Life of Man: or, the Human Egg of Generation; The Angelical Guide, or the Lott of Man: showing all the Chances and Contingencies in this present World; and the Experimental Knowledge of several Examples; proving the Truth and Certainty of these our Angelical Lotts. Each book includes charts to illustrate key points. Due to the age and scarcity of the original we reproduced, some pages may be spotty, faded or difficult to read.

This volume is comprised of four books: Of the Creation of the World; The Center or Circle of the Life of Man: or, the Human Egg of Generation; The Angelical Guide, or the Lott of Man: showing all the Chances and Contingencies in this present World; and the Experimental Knowledge of several Examples; proving the Truth and Certainty of these our Angelical Lotts. Each book includes charts to illustrate key points. Due to the age and scarcity of the original we reproduced, some pages may be spotty, faded or difficult to read.

Over the last decade companies have struggled to balance the human dimension of business with the need to be aggressive, competitive, and profitable. Of all the management solutions considered, one philosophy, open-book management, has proven its power to transform organizations and enhance morale and productivity again and again.But what was it about a seemingly risky philosophy, in which all of a company's financial numbers are revealed to every employee, that compelled companies as dissimilar as multibillion-dollar RR Donnelley and modest-sized Crisp publications, to undertake such a drastic rethinking of company management? Was it the increased profits other companies, such as Amoco Canada, were experiencing due to their employees' new financial involvement in the company? Or was it he improved production that Bagel Works, Inc., and Dixie Ironworks, Inc., realized through employee joint accountability? Perhaps it was the enhanced employee morale that still other companies were achieving now that their employees were partners who designed their own bonus packages. Likely, it was all these reasons and dozens more that convinced hundreds of companies to adopt open-book management to help reduce costs, improve quality, and boost sales, all while creating an environment that reinvented and revitalized the role of the employee.In this practical and highly accessible book, John Case, the leading authority and foremost chronicler of open-book management, shows how to put the open-book philosophy to work. The Open-Book Experience explains how to identify critical numbers, how to bring the corporate financials down to earth, and how to set up a system that gets everyone in the business working to improve performance. It describes how companies both large and small have actually implemented open-book management--how they got started, how they overcame obstacles, and how they taught employees to understand the business. Using a step-by-step methodology gleaned from the experiences of more than 100 successful companies, and revealing tools and techniques such as electronic scoreboards and collaborative "games," Case shows how open-book management can work for any company wanting to bridge the age-old gap between concern for people and the need for rigorous performance measurement and improvement.