Bücher von Ronald J. Tallarida

Pocket Book of Integrals and Mathematical Formulas, 5th Edition covers topics ranging from precalculus to vector analysis and from Fourier series to statistics, presenting numerous worked examples to demonstrate the application of the formulas and methods. This popular pocket book is an essential source for students of calculus and higher mathematics courses. It also provides an easy-to-use, accessible reference for mathematicians, engineers, scientists, and others seeking vital mathematical formulas, concepts, and definitions. Enlarging the type without sacrificing special topics involving financial mathematics and number theory, this 5th Edition: Includes several classic calculus applications that illustrate the power and practical use of calculus Discusses an interesting offshoot of Fermat's last theorem, namely, "near misses" Reformats and revises the table of integrals for improved clarity and accuracy Through careful selection of topics and detail, Pocket Book of Integrals and Mathematical Formulas, 5th Edition remains a portable yet comprehensive resource for students and professionals, containing the most important mathematical formulas for engineering and scientific applications.

This book contains a collection of quantitative procedures in common use in pharmacology and related disciplines. In this new edition we have increased the number of procedures from 33 (in the first edition) to 48. An associated computer program is included for each procedure and its use is illustrated with the same worked example used in the text.

Another line of investigation is concerned with the kinetic theories of drug-receptor interaction, the effort there being to provide a general theory that is applicable to wide classes of drugs. Second, many students fail to appreciate the differences in and the limitations of the various theories, beginning with the classical theory of A.

Focuses on drug combinations and the various quantitative analyses needed to analyze drug combination dose-effect data and to design experiments with two or more compounds. This book contains the statistical methods, the theory, and the computation algorithms needed to analyze single and combination drug data.