This concisely written text in finite mathematics gives a sequential, distinctly applied presentation of topics, employing a pedagogical approach that is ideal for freshmen and sophomores in business, the social sciences, and the liberal arts. The work opens with a brief review of sets and numbers, followed by an introduction to data sets, counting arguments, and the Binomial Theorem, which sets the foundation for elementary probability theory and some basic statistics. Further chapters treat graph theory as it relates to modelling, matrices and vectors, and linear programming. Requiring only two years of high school algebra, this book's many examples and illuminating problem sets - with selected solutions - will appeal to a wide audience of students and teachers.
Rezensionen / Stimmen
"The present textbook gives a concise introduction to finite mathematics. It covers the topics counting, discrete probability, graph theory, linear equations, and linear programming...It is well written and easy to read, with many examples and applications." --International Mathematical News "This concise book us desugbed for a one semester introductory course in finite mathematics and its applications for freshmen and sophomore students in business, management, and the social sciences...The author presents examples as "sample problems" in the body of every section, and these are usually followed by "your turn" exercises designed to test the reader's comprehension." --ZENTRALBLATT MATH "[A Beginner's Guide to Finite Mathematics] is suitable for self-studying the topic "finite mathematics" without visiting a course because of requiring little mathematical background beyond high school algebra. I would recommend this book to everyone who wants to have a first look at applied discrete mathematics." --Simulation News Europe
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Lower undergraduate
Produkt-Hinweis
Illustrationen
Maße
Höhe: 23.5 cm
Breite: 15.5 cm
Dicke: 19 mm
Gewicht
ISBN-13
978-0-8176-4270-9 (9780817642709)
DOI
10.1007/978-1-4757-3814-8
Schweitzer Klassifikation
Preface * Numbers and Sets * Counting * Probability * Relations and Functions * Graph Theory * Matrices * Linear Programming * Bibliography * Answers to Group A Exercises * Index
