This exciting new teaching method, by the renowned piano pedagogue Hans-Günter Heumann is ideal for adults and young people looking to learn the piano from scratch, or for those returning to the piano after a break from playing. Using classical music as a basis for learning, this method introduces interesting, varied and well-known pieces right from the outset. The two method books have been carefully designed to progress in small manageable steps, beginning with simple fingering patterns and exercises, onto some of the most beautiful melodies and pieces from the baroque, classical and romantic eras, such as the Ode to Joy, Für Elise and the Blue Danube Waltz. Leading the student through a range of exercises, repertoire pieces, theory checks, tips on practicing, playing and technique, and composer biographies, the process of learning is made interesting, informed and fun. The four supplementary volumes present further material to help learning at each stage of the students' development, as well as offering up a wider range of beautiful pieces, for the solo pianist, or piano duet.

This book is primarily intended to meet the requirements for senior undergraduate and postgraduate students of Mechanical Engineering course at various Indian universities. Finite Element Method is a foundation course in Aerospace Engineering. The objective of this book is to present Finite Element Method in an easily understandable manner. This book is the outcome of extensive teaching of the subject at various levels by the author and his persuation by students and colleagues.

This book constructs the mathematical apparatus of classical mechanics from the beginning, examining basic problems in dynamics like the theory of oscillations and the Hamiltonian formalism. The author emphasizes geometrical considerations and includes phase spaces and flows, vector fields, and Lie groups. Discussion includes qualitative methods of the theory of dynamical systems and of asymptotic methods like averaging and adiabatic invariance.

The structures of many natural products are given in standard textbooks on organic chemistry as 'established facts'. Yet for those natural products whose structures were determined between 1860 and 1960 by classical chemical methods, the lines of evidence are frequently buried under any number of investigations that led to dead ends and to revised structure assignments. Since very little is known about the structure clarification of these products at present, this volume serves to shed light once again on the achievements of previous generations of chemists, who worked with minimal experimental tools. The selection of the 25 representative examples is subjective and arbitrary, dictated by the author's pleasure in recovering fundamental milestones in organic chemistry, with each chapter devoted to one organic compound. The time period covered, however, is more precisely defined: 1860 represents the advent of structure theory, prior to which there was no conceptual framework to address the 'structure' of a compound. One hundred years later, 1960 approximately marks the change from classical structure elucidation to the era in which structure elucidation is mainly based on spectroscopic evidence and X-ray crystallography. Since the emphasis of this work is on classical structure elucidation, work performed later than 1960 is only considered in exceptional cases. Rather than simply provide a history of structure elucidation of particular natural products, the author combines results from historic experiments to trace a line of evidence for those structures that are nowadays accepted as established. This line of evidence may follow the path put forward by the original contributors, yet in some cases the experimental facts have been combined to form another, hopefully shorter, line of evidence. As a result, readers are able to ascertain for themselves the 'facts behind the established structure assignments' of a number of important natural products.

Although much chemical analysis is centred around modern instrumentation, many methods developed during the nineteenth century are still relevant and applicable. These so called wet methods or classical methods are widely used in industry and often have the merit of being quick, cheap and reliable. These two volumes explore this topic by considering the role of chemical equilibrium in analysis before a thorough examination of volumetric and gravimetric analysis.

Classical Methods of Statistics is a guidebook combining theory and practical methods. It is especially conceived for graduate students and scientists who are interested in the applications of statistical methods to plasma physics. Thus it provides also concise information on experimental aspects of fusion-oriented plasma physics. In view of the first three basic chapters it can be fruitfully used by students majoring in probability theory and statistics. The first part deals with the mathematical foundation and framework of the subject. Some attention is given to the historical background. Exercises are added to help readers understand the underlying concepts. In the second part, two major case studies are presented which exemplify the areas of discriminant analysis and multivariate profile analysis, respectively. To introduce these case studies, an outline is provided of the context of magnetic plasma fusion research. In the third part an overview is given of statistical software; separate attention is devoted to SAS and S-PLUS. The final chapter presents several datasets and gives a description of their physical setting. Most of these datasets were assembled at the ASDEX Upgrade Tokamak. All of them are accompanied by exercises in form of guided (minor) case studies. The book concludes with translations of key concepts into several languages.

The volume analyses and develops David Makinson’s efforts to make classical logic useful outside its most obvious application areas. The book contains chapters that analyse, appraise, or reshape Makinson’s work and chapters that develop themes emerging from his contributions. These are grouped into major areas to which Makinsons has made highly influential contributions and the volume in its entirety is divided into four sections, each devoted to a particular area of logic: belief change, uncertain reasoning, normative systems and the resources of classical logic. Among the contributions included in the volume, one chapter focuses on the “inferential preferential method”, i.e. the combined use of classical logic and mechanisms of preference and choice and provides examples from Makinson’s work in non-monotonic and defeasible reasoning and belief revision. One chapter offers a short autobiography by Makinson which details his discovery of modern logic, his travels across continents and reveals his intellectual encounters and inspirations. The chapter also contains an unusually explicit statement on his views on the (limited but important) role of logic in philosophy.

Summability is a mathematical topic with a long tradition and many applications in, for example, function theory, number theory, and stochastics. It was originally based on classical analytical methods, but was strongly influenced by modern functional analytical methods during the last seven decades. The present book aims to introduce the reader to the wide field of summability and its applications, and provides an overview of the most important classical and modern methods used. Part I contains a short general introduction to summability, the basic classical theory concerning mainly inclusion theorems and theorems of the Silverman-Toeplitz type, a presentation of the most important classes of summability methods, Tauberian theorems, and applications of matrix methods. The proofs in Part I are exclusively done by applying classical analytical methods. Part II is concerned with modern functional analytical methods in summability, and contains the essential functional analytical basis required in later parts of the book, topologization of sequence spaces as K- and KF-spaces, domains of matrix methods as FK-spaces and their topological structure. In this part the proofs are of functional analytical nature only. Part III of the present book deals with topics in summability and topological sequence spaces which require the combination of classical and modern methods. It covers investigations of the constistency of matrix methods and of the bounded domain of matrix methods via Saks space theory, and the presentation of some aspects in topological sequence spaces. Lecturers, graduate students, and researchers working in summability and related topics will find this book a useful introduction and reference work.

This text emphasizes rigorous mathematical techniques for the analysis of boundary value problems for ODEs arising in applications. The emphasis is on proving existence of solutions, but there is also a substantial chapter on uniqueness and multiplicity questions and several chapters which deal with the asymptotic behavior of solutions with respect to either the independent variable or some parameter. These equations may give special solutions of important PDEs, such as steady state or traveling wave solutions. Often two, or even three, approaches to the same problem are described. The advantages and disadvantages of different methods are discussed. The book gives complete classical proofs, while also emphasizing the importance of modern methods, especially when extensions to infinite dimensional settings are needed. There are some new results as well as new and improved proofs of known theorems. The final chapter presents three unsolved problems which have received much attention over the years. Both graduate students and more experienced researchers will be interested in the power of classical methods for problems which have also been studied with more abstract techniques. The presentation should be more accessible to mathematically inclined researchers from other areas of science and engineering than most graduate texts in mathematics.

The latest developments in quantum and classical molecular dynamics, related techniques, and their applications to several fields of science and engineering. Molecular simulations include a broad range of methodologies such as Monte Carlo, Brownian dynamics, lattice dynamics, and molecular dynamics (MD).Features of this book:• Presents advances in methodologies, introduces quantum methods and lists new techniques for classical MD• Deals with complex systems: biomolecules, aqueous solutions, ice and clathrates, liquid crystals, polymers• Provides chemical reactions, interfaces, catalysis, surface phenomena and solidsAlthough the book is not formally divided into methods and applications, the chapters are arranged starting with those that discuss new algorithms, methods and techniques, followed by several important applications.