Finite Mathematics for Business, Economics, Life Sciences and Social Sciences: Pearson New International Edition


12e édition

VitalSource eBook (VitalBook) - En anglais 54,00 € DRM

Spécifications


Éditeur
Pearson Education
Édition
12
Auteur
Raymond A. Barnett, Michael R. Ziegler, Karl E. Byleen,
Langue
anglais
BISAC Subject Heading
MAT012000 MATHEMATICS / Geometry
BIC subject category (UK)
PBM Geometry
Code publique Onix
05 Enseignement supérieur
Date de première publication du titre
01 novembre 2013
Subject Scheme Identifier Code
Classification thématique Thema: Géométrie

VitalSource eBook


Date de publication
01 novembre 2013
ISBN-13
9781292036847
Ampleur
Nombre de pages de contenu principal : 560
Code interne
1292036842
Protection technique e-livre
DRM

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Sommaire


Part One: A Library of Elementary Functions

 

Chapter 1: Linear Equations and Graphs

1-1 Linear Equations and Inequalities

1-2 Graphs and Lines

1-3 Linear Regression

Chapter 1 Review

Review Exercise

 

Chapter 2: Functions and Graphs

2-1 Functions

2-2 Elementary Functions: Graphs and Transformations

2-3 Quadratic Functions

2-4 Polynomial and Rational Functions

2-5 Exponential Functions

2-6 Logarithmic Functions

Chapter 2 Review

Review Exercise

 

Part Two: Finite Mathematics

 

Chapter 3: Mathematics of Finance

3-1 Simple Interest

3-2 Compound and Continuous Compound Interest

3-3 Future Value of an Annuity; Sinking Funds

3-4 Present Value of an Annuity; Amortization

Chapter 3 Review

Review Exercise

 

Chapter 4: Systems of Linear Equations; Matrices

4-1 Review: Systems of Linear Equations in Two Variables

4-2 Systems of Linear Equations and Augmented Matrices

4-3 Gauss-Jordan Elimination

4-4 Matrices: Basic Operations

4-5 Inverse of a Square Matrix

4-6 Matrix Equations and Systems of Linear Equations

4-7 Leontief Input-Output Analysis

Chapter 4 Review

Review Exercise

 

Chapter 5: Linear Inequalities and Linear Programming

5-1 Inequalities in Two Variables

5-2 Systems of Linear Inequalities in Two Variables

5-3 Linear Programming in Two Dimensions: A Geometric Approach

Chapter 5 Review

Review Exercise

 

Chapter 6: Linear Programming: Simplex Method

6-1 A Geometric Introduction to the Simplex Method

6-2 The Simplex Method: Maximization with Problem Constraints of the Form ≥

6-3 The Dual; Minimization with Problem Constraints of the form ≥

6-4 Maximization and Minimization with Mixed Problem Constraints

Chapter 6 Review

Review Exercise

 

Chapter 7: Logic, Sets, and Counting

7-1 Logic

7-2 Sets

7-3 Basic Counting Principles

7-4 Permutations and Combinations

Chapter 7 Review

Review Exercise

 

Chapter 8: Probability

8-1 Sample Spaces, Events, and Probability

8-2 Union, Intersection, and Complement of Events; Odds

8-3 Conditional Probability, Intersection, and Independence

8-4 Bayes' Formula

8-5 Random Variables, Probability Distribution, and Expected Value

Chapter 8 Review

Review Exercise

 

Chapter 9: Markov Chains

9-1 Properties of Markov Chains

9-2 Regular Markov Chains

9-3 Absorbing Markov Chains

Chapter 9 Review

Review Exercise

 

Chapter 10: Games and Decisions

10-1 Strictly Determined Games

10-2 Mixed Strategy Games

10-3 Linear Programming and 2 x 2 Games--Geometric Approach

10-4 Linear Programming and m x n Games--Simplex Method and the Dual

Chapter 10 Review

Review Exercise

 

 

 

Answers

Index

Applications Index

A Library of Elementary Functions




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