ISBN 9780201611298,Mathematics for the Modern World

Mathematics for the Modern World

Publisher:

Addison Wesley

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ISBN 9780201611298
Publisher

Addison Wesley

Publication Year 1999
ISBN-13

ISBN 9780201611298

ISBN-10 0201611295
Binding

Paperback

Number of Pages 718 Pages
Language (English)
Subject

Electronics & communications engineering

Editorial Reviews - Mathematics for the Modern World Booknews Offers seven independent chapters with sufficient depth of coverage in each chapter to allow instructors to select several chapters for a semester-length course. Two early sections introduce themes of problem solving and estimation, which are reinforced throughout the text. Coverage includes sets and logic, finance, geometry, graph theory, probability, statistics, and decision theory. Includes side bars with historical notes, calculator information, and computer instruction, material on technology, a total of some 2,800 exercises of different types, and group and individual projects. The author is affiliated with Olivet Nazarene University. Annotation c. Book News, Inc., Portland, OR (booknews.com) Features - Mathematics for the Modern World Table of Contents Table of Contents Introduction. Problem Solving. Estimation. 1. Sets and Logic. Sets. Set Operations. Sets and Venn Diagrams. Inductive and Deductive Logic. Logic Statements. Compound Statements. Conditional Statements. More Conditionals. Analyzing Logic Arguments. Logical Circuits. Review. 2. Finance. Compound Interest. Geometric Sequences. Annuities. Loans. Loan Amortization. Logarithms and Finance. Review. 3. Geometry. Length and Area. Polygons. Solids: Volume and Surface Area. Polyhedral. Rigid Motions. Symmetry. Tilings. Euclidean and Non-Euclidean Geometry. Fractals. Review. 4. Graph Theory. Introduction to Graphs. Edge Paths. Edge Cycles. Vertex Cycles. The Traveling Salesman Problem. Approximations to the Traveling Salesman Problem. Trees. Instant Insanity. Review. 5. Probability. Basic Probability Ideas. Rules of Probability. Probabilities of Unions and Intersections. Conditional Probability and Independence. Bayes' Formula. Permutations and Combinations. Probability and Counting Formulas. Expected Value. Binomial Experiments. Review. 6. Statistics. What is Statistics? Organizing Data. Displaying Data. Measures of Central Tenden

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