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Lovelock
A classic fictionalised biography of the enigmatic Olympic athlete Jack Lovelock. Jack Lovelock has been called the first modern athlete. He became famous internationally when he broke the world record to take the gold medal in the 1500 metres event at the Berlin Olympic Games in 1936. His unexpected victory against 'the greatest field of milers ever assembled' has all the hallmarks of a great discovery. A medical student, he treated his body as a human laboratory. Yet a mystery remains. In 1949 a few days before his 40th birthday, Jack Lovelock was killed when he fell beneath a train in New York. The enigma of his death becomes the key to McNeish's quest for the 'real' Lovelock - a man who in the author's words 'covered his traces as adroitly as he ran'. Lovelock, based on wide research but written as a fictional diary, was nominated for the 1986 Booker Prize. This edition includes the 'Berlin Diary', McNeish's journal written in Germany while researching the novel and an afterword, which contains a sobering commentary on Lovelock's death.
Tensors, Differential Forms, and Variational Principles
Incisive, self-contained account of tensor analysis and the calculus of exterior differential forms, interaction between the concept of invariance and the calculus of variations. Emphasis is on analytical techniques. Includes problems.
Calculus
Calculus: Single Variable, 8th Edition promotes active learning by providing students across multiple majors with a variety of problems with applications from the physical sciences, medicine, economics, engineering, and more. Designed to promote critical thinking to solve mathematical problems while highlighting the practical value of mathematics, the textbook brings calculus to real life with engaging and relevant examples, numerous opportunities to master key mathematical concepts and skills, and a student-friendly approach that reinforces the conceptual understanding necessary to reduce complicated problems to simple procedures. Developed by the Harvard University Calculus Consortium, Calculus focuses on the Rule of Four—viewing problems graphically, numerically, symbolically, and verbally—with particular emphasis placed on introducing a variety of perspectives for students with different learning styles. The eighth edition provides more problem sets, up-to-date examples, and a range of new multi-part graphing questions and visualizations powered by GeoGebra that reinforce the Rule of Four and strengthen students’ comprehension.
Complex Variable Methods in Elasticity
Plane strain and generalized plane stress boundary value problems of linear elasticity are discussed as well as functions of a complex variable, basic equations of 2-dimensional elasticity, plane and half-plane problems, more. 1971 edition. Includes 26 figures.
Sequences, Combinations, Limits
Focusing on theory more than computations, this 3-part text covers sequences, definitions, and methods of induction; combinations; and limits, with introductory problems, definition-related problems, and problems related to computation limits. Answers and hints to the test problems are provided; "road signs" mark passages requiring particular attention. 1969 edition.
Matrix-geometric Solutions in Stochastic Models
Topics include matrix-geometric invariant vectors, buffer models, queues in a random environment and more.
Statistics of Extremes
Universally acknowledged as the classic text in its field, this volume covers order statistics and their exceedances; exact distribution of extremes; analytical study of extremes; the 1st asymptotic distribution; uses of the 1st, 2nd, and 3rd asymptotes; and the range summary. 1958 edition. Includes 44 tables and 97 graphs.
Mathematics: The Man-Made Universe
Highly readable volume covers number theory, topology, set theory, geometry, algebra, and analysis, plus the primes, fundamental theory of arithmetic, probability, and more. Solutions manual available upon request. 1994 edition.
Lambda-Matrices and Vibrating Systems
Features aspects and solutions of problems of linear vibrating systems with a finite number of degrees of freedom. Starts with development of necessary tools in matrix theory, followed by numerical procedures for relevant matrix formulations and relevant theory of differential equations. Minimum of mathematical abstraction; assumes a familiarity with matrix theory, elementary calculus. 1966 edition.
