Basic Methods of Linear Functional Analysis

It is the aim of this book to take undergraduates in science and engineering to an acceptable level of competence in network analysis. The author assumes no previous knowledge of the subject. The book starts from basic physical ideas and progresses through essential network laws and theorems to Fourier and Laplace transform methods of analysing transient and steady-state problems. Traditional transient and alternating-current theory is covered prior to introducing transform methods, since the author believes that the gain in physical insight from such an approach is invaluable. Throughout, the relevance of the analysis to practical electric and electronic circuits is stressed. This book will be of value to students in universities and polytechnics in physics and electrical and electronics engineering departments.

It is the aim of this book to take undergraduates in science and engineering to an acceptable level of competence in network analysis. The author assumes no previous knowledge of the subject. The book starts from basic physical ideas and progresses through essential network laws and theorems to Fourier and Laplace transform methods of analysing transient and steady-state problems. Traditional transient and alternating-current theory is covered prior to introducing transform methods, since the author believes that the gain in physical insight from such an approach is invaluable. Throughout, the relevance of the analysis to practical electric and electronic circuits is stressed. This book will be of value to students in universities and polytechnics in physics and electrical and electronics engineering departments.

The place of money capital in the theory of the firm has remained a relatively neglected question in traditions of economic analysis. In this highly integrative work, issues in production, pricing, capital investment and financial theory are brought to new levels of interdependence. Developing a three-part argument, Money Capital in the Theory of the Firm deals successively with the theoretical issues and analytic motivation, the neoclassical tradition and postclassical perspectives. In doing so, it presents a self-contained foundation in the basic structures of microeconomic analysis relating to optimize decision making in the firm and in the accounting concepts and statistical apparatus of probability theory relevant to the neoclassical aspects of the argument. Additionally, the book provides the essential mathematical development of such advanced topics as utility functions defined over stochastic arguments, the equilibrium theory of financial asset prices and yields, the cost of mo

This book discusses a broad range of statistical design and analysis methods that are particularly well suited to pollution data. It explains key statistical techniques in easy-to-comprehend terms and

This is a textbook written for mechanical engineering students at first-year graduate level. As such, it emphasizes the development of finite element methods used in applied mechanics. The book starts with fundamental formulations of heat conduction and linear elasticity and derives the weak form (i.e. the principle of virtual work in elasticity) from a boundary value problem that represents the mechanical behaviour of solids and fluids. Finite element approximations are then derived from this weak form. The book contains many useful exercises and the author appropriately provides the student with computer programs in both BASIC and FORTRAN for solving them. Furthermore, a workbook is available with additional computer listings, and also an accompanying disc that contains the BASIC programs for use on IBM-PC microcomputers and their compatibles. Thus the usefulness and versatility of this text is enhanced by the student's ability to practise problem solving on accessible microcomputers

Provides a basic comprehensive treatment of the major electrical engineering problems associated with the design and operation of electric power systems. The major components of the power system are m

Introduces the basic concepts of robot manipulation--the fundamental kinematic and dynamic analysis of manipulator arms, and the key techniques for trajectory control and compliant motion control. Mat

In this volume, the author covers the mathematical methods appropriate to both linear-systems theory and signal processing. The text deals with a number of topics usually found in introductory linear-systems courses, such as complex numbers and Laplace transforms, and addresses additional topics such as complex variable theory and Fourier series and transforms. Although the discussion is mathematically self-contained, it assumes that the reader has a firm background in calculus and differential equations. Each chapter contains a number of worked examples plus exercises designed to allow the student to put concepts into practice. The author writes in a mathematically elegant yet relaxed and readable style, and provides interesting historical notes along the way. Undergraduate students of electrical engineering, applied mathematics, and related disciplines - and their teachers - will welcome this book.

Up until recently, Riemannian geometry and basic topology were not included, even by departments or faculties of mathematics, as compulsory subjects in a university-level mathematical education. The s

Recent advances in statistical methodology and computer automation are making canonical correlation analysis available to more and more researchers. This volume explains the basic features of this sop

An introductory textbook for senior/graduate couses in finite element analysis taught in all engineering departments. Covers the basic concepts of the finite element method and their application to th

The only self-contained modern laboratory manual for advanced undergraduate courses in instrumental analysis. Consists of over 50 experiments demonstrating the theory and practice of electrochemical m

This 1983 book records a fascinating analysis of the Solidarity movement in Poland. Alain Touraine here proposes an understanding of the place of social movements in contemporary society, and a fresh means of analysing them through 'sociological intervention'. In 1981 he and a team of researchers applied these research methods to the Solidarity movements. Groups of Solidarity activists were involved in a discourse over the nature and aims of their political and economic struggle. What emerges is a record of exceptional value in understanding the movement which transformed Polish society, placed firmly in the terms of the Solidarity activists' own understanding of their role, but equally relating this role to a broad analysis of the social structures of eastern Europe. This reflection on forty years of Communist regimes in Europe will appeal to a wide readership interested in Solidarity and Poland.

This book is intended to serve as a basic textbook on Schenkerian analysis, the analytical approach developed over a period of many years by the Austrian music theorist Heinrich Schenker (1868-1935).

Ecologists are making increasing use of computer methods in analyzing ecological data on plant and animal communities. Ecological problems naturally involve numerous variables and numerous individuals or samples. Multivariate techniques permit the summary of large, complex sets of data and provide the means to tackle many problems that cannot be investigated experimentally because of practical restraints. Ecologists are thus enabled to group similar species and similar sample sites together, and to generate hypotheses about environmental and historical factors that affect the communities. This timely book presents a full critical description of three methodologies - direct gradient analysis, ordination, and classification - from both theoretical and practical viewpoints. Both traditional and new methods are presented. Using a wide range of illustrative examples, Hugh Gauch provides an up-to-date synthesis of this field, which will be of interest to advanced students and ecologists. The

Using data drawn primarily from the American Southwest, Stephen Plog shows that there are basic problems with the methods archaeologists traditionally use to classify and analyse prehistoric pottery. Archaeologists have studied the painted designs and other stylistic (that is, non-functional) characteristics on different types of prehistoric artifacts in order to infer information about prehistoric social organization and cultural change. Such studies usually argue that the degree of similarity between the designs found on ceramic vessels at different prehistoric sites were occupied or from the amount of interaction between the people who occupied them. In Stylistic Variation in Prehistoric Ceramics, the author proposes that many factors, rather than just two, cause design or stylistic variation on artifacts. He demonstrates flaws in the logic and method of previous studies and suggests that the ways in which designs have been classified and understood are often inappropriate. Employin

Provides--in an organized and compact source--a comprehensive guide to the principles of sampling design and statistical analysis methods. Reviews the principles of inference, sampling and statistical

A simple, straightforward presentation of basic statistical methods and experimental designs with emphasis on how to compute essential statistics. Introduces principles of experimentation and explains

A classic textbook for an introductory course in nuclear reactor analysis that introduces the nuclear engineering student to the basic scientific principles of nuclear fission chain reactions and lays

Giddens's analysis of the writings of Marx, Durkheim and Weber has become the classic text for any student seeking to understand the three thinkers who established the basic framework of contemporary sociology. The first three sections of the book, based on close textual examination of the original sources, contain separate treatments of each writer. The author demonstrates the internal coherence of their respective contributions to social theory. The concluding section discusses the principal ways in which Marx can be compared with the other two authors, and discusses misconceptions of some conventional views on the subject.

This book provides a readable yet rigorous introduction to analytical methods with a focus on problem-solving skills. It stresses the fundamental concepts of chemical analysis and, through examples fr

This short book sets out the principles of the methods commonly employed in obtaining numerical solutions to mathematical equations and shows how they are applied in solving particular types of equations. Now that computing facilities are available to most universities, scientific and engineering laboratories and design shops, an introduction to numerical method is an essential part of the training of scientists and engineers. A course on the lines of Professor Wilkes's book is given to graduate or undergraduate students of mathematics, the physical sciences and engineering at many universities and the number will increase. By concentrating on the essentials of his subject and giving it a modern slant, Professor Wilkes has written a book that is both concise and that covers the needs of a great many users of digital computers; it will serve also as a sound introduction for those who need to consult more detailed works.

A standard reference on the application of network theory to the design of automatic control systems. The 1943 printing of The Analysis and Synthesis of Linear Servomechanisms was classified as rest

Enzymes, Volume 1: Nature's Chemical Machines offers beginning-mid undergraduate students a platform in basic enzymology, including pure enzyme preparation, data collection and analysis, and enzyme study. It supports wider biochemical studies through varied examples, and leads to deeper coverage of the topic in Enzymes, Volume 2: Enzymes at Work.

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Approximately 1 in 54 children in the U.S. will be diagnosed with an autism spectrum disorder (ASD) and that number is expected to rise, according to the CDC. Applied Behavior Analysis (ABA) is one of the most common interventions for those with ASD. One of the biggest problems facing the field of ABA-based interventions is ineffectiveness of intervention approaches due to the rigid application of ABA-based interventions. A Progressive Approach to Applied Behavior Analysis: The Autism Partnership Method provides practicing behavior analysts (e.g., BCBA, BCaBA, RBTs) and other clinicians with an in-depth introduction to a Progressive Approach to ABA and how it applies to common teaching methods within ABA-based interventions. This includes research and guidelines for implementing a Progressive Approach to ABA potentially increasing the likelihood of meaningful outcomes for the individuals with ASD. This will become the guide for practitioners on how to implement clinical judgement using

Offering a new perspective, this textbook demystifies the operation of electric machines by providing an integrated understanding of electromagnetic fields, electric circuits, numerical analysis, and computer programming. It presents fundamental concepts in a rigorous manner, emphasising underlying physical modelling assumptions and limitations, and provides detailed explanations of how to implement the finite element method to explore these concepts using Python. It includes explanations of the conversion of concepts into algorithms, and algorithms into code, and examples building in complexity, from simple linear-motion electromagnets to rotating machines. Over 100 theoretical and computational end-of-chapter exercises test understanding, with solutions for instructors and downloadable Python code available online. Ideal for graduates and senior undergraduates studying electric machines, electric machine design and control, and power electronic converters and power systems engineerin

Use the simplicity of dimensional analysis to make accurate drug calculations! Mulholland's The Nurse, The Math, The Meds, 5th Edition helps you overcome any math anxiety you may have by clearly explaining how to use the dimensional analysis method to minimize drug calculation errors. First, a review of basic math ensures that you remember essential math skills. The book then shows how to analyze and set up problems, estimate a reasonable answer, and evaluate the answer for accuracy. From nursing educator Susan J. Turner, this edition includes plenty of practice exercises as well as new Next Generation NCLEX(R) (NGN) case studies to prepare you for the NGN exam. UNIQUE! Useful FAQs and answers in each chapter are based on years of classroom questions compiled by the author. UNIQUE! Communication boxes show sample nurse-patient and nurse-prescriber dialogues that can help reduce medication errors. UNIQUE! Ask Yourself questions help you synthesize information and reinforce your comprehe

THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSISBy focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data analysis without the calculus background normally considered a prerequisite for this material. Now, students can use the best methods without needing advanced mathematical techniques. This approach goes beyond “frequentist” concepts of p-values and null hypothesis testing, using the full power of modern probability theory to solve real-world problems. The book offers a fully self-contained course, which demonstrates analysis techniques throughout with worked examples crafted specifically for students in the behavioral and neural sciences. The book presents two general algorithms that help students solve the measurement and model selection (also called “hypothesis testing”) problems most frequently encountered in real-world applications.

This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data analysis without the calculus background normally considered a prerequisite for this material. Now, students can use the best methods without needing advanced mathematical techniques. This approach goes beyond “frequentist” concepts of p-values and null hypothesis testing, using the full power of modern probability theory to solve real-world problems. The book offers a fully self-contained course, which demonstrates analysis techniques throughout with worked examples crafted specifically for students in the behavioral and neural sciences. The book presents two general algorithms that help students solve the measurement and model selection (also called “hypothesis testing”) problems most frequently encountered in real-world applications.