Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences, Global Edition

Höfundur Raymond A. Barnett; Michael R. Ziegler; Karl E. Byleen; Christopher J. Stocker

Útgefandi Pearson International Content

Snið Page Fidelity

Print ISBN 9781292264202

Útgáfa 14

Höfundarréttur 2019

4.890 kr.

Description

Efnisyfirlit

  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Chapter 1 Functions and Graphs
  • 1.1 Functions
  • 1.2 Elementary Functions: Graphs and Transformations
  • 1.3 Quadratic Functions
  • 1.4 Polynomial and Rational Functions
  • 1.5 Exponential Functions
  • 1.6 Logarithmic Functions
  • Chapter 1 Summary and Review
  • Review Exercises
  • Chapter 2 Mathematics of Finance
  • 2.1 Simple Interest
  • 2.2 Compound and Continuous Compound Interest
  • 2.3 Future Value of an Annuity; Sinking Funds
  • 2.4 Present Value of an Annuity; Amortization
  • Chapter 2 Summary and Review
  • Review Exercises
  • Chapter 3 Systems of Linear Equations; Matrices
  • 3.1 Review: Systems of Linear Equations in Two Variables
  • 3.2 Systems of Linear Equations and Augmented Matrices
  • 3.3 Gauss–jordan Elimination
  • 3.4 Matrices: Basic Operations
  • 3.5 Inverse of a Square Matrix
  • 3.6 Matrix Equations and Systems of Linear Equations
  • 3.7 Leontief Input–output Analysis
  • Chapter 3 Summary and Review
  • Review Exercises
  • Chapter 4 Linear Inequalities and Linear Programming
  • 4.1 Linear Inequalities in Two Variables
  • 4.2 Systems of Linear Inequalities in Two Variables
  • 4.3 Linear Programming in Two Dimensions: a Geometric Approach
  • Chapter 4 Summary and Review
  • Review Exercises
  • Chapter 5 Linear Programming: The Simplex Method
  • 5.1 The Table Method: an Introduction to the Simplex Method
  • 5.2 The Simplex Method: Maximization with Problem Constraints of the Form …
  • 5.3 The Dual Problem: Minimization with Problem Constraints of the Form ú
  • 5.4 Maximization and Minimization with Mixed Problem Constraints
  • Chapter 5 Summary and Review
  • Review Exercises
  • Chapter 6 Logic, Sets, and Counting
  • 6.1 Logic
  • 6.2 Sets
  • 6.3 Basic Counting Principles
  • 6.4 Permutations and Combinations
  • Chapter 6 Summary and Review
  • Review Exercises
  • Chapter 7 Probability
  • 7.1 Sample Spaces, Events, and Probability
  • 7.2 Union, Intersection, and Complement of Events; Odds
  • 7.3 Conditional Probability, Intersection, and Independence
  • 7.4 Bayes’ Formula
  • 7.5 Random Variable, Probability Distribution, and Expected Value
  • Chapter 7 Summary and Review
  • Review Exercises
  • Chapter 8 Markov Chains
  • 8.1 Properties of Markov Chains
  • 8.2 Regular Markov Chains
  • 8.3 Absorbing Markov Chains
  • Chapter 8 Summary and Review
  • Review Exercises
  • Chapter 9 Data Description and Probability Distributions
  • 9.1 Graphing Data
  • 9.2 Measures of Central Tendency
  • 9.3 Measures of Dispersion
  • 9.4 Bernoulli Trials and Binomial Distributions
  • 9.5 Normal Distributions
  • Chapter 9 Summary and Review
  • Review Exercises
  • Chapter 10 Games and Decisions
  • 10.1 Strictly Determined Games
  • 10.2 Mixed-strategy Games
  • 10.3 Linear Programming and 2 : 2 Games: a Geometric Approach
  • 10.4 Linear Programming and M : N Games: Simplex Method and the Dual Problem
  • Chapter 10 Summary and Review
  • Review Exercises
  • Appendix A Linear Equations and Graphs
  • A.1 Linear Equations and Inequalities
  • A.2 Graphs and Lines
  • A.3 Linear Regression
  • Appendix B Basic Algebra Review
  • B.1 Real Numbers
  • B.2 Operations on Polynomials
  • B.3 Factoring Polynomials
  • B.4 Operations on Rational Expressions
  • B.5 Integer Exponents and Scientific Notation
  • B.6 Rational Exponents and Radicals
  • B.7 Quadratic Equations
  • Appendix C Special Topics
  • C.1 Sequences, Series, and Summation Notation
  • C.2 Arithmetic and Geometric Sequences
  • C.3 Binomial Theorem
  • Appendix D Area under the Standard Normal Curve
  • Answers
  • Index
  • Index of Applications
  • Back Cover
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