College Mathematics for Business Economics Life Sciences and Social Sciences 14th Edition Barnett Solutions Manual
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College Mathematics for Business Economics Life Sciences and Social Sciences 14th Edition Barnett Solutions Manual.
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Product details:
- ISBN-10 : 0134674146
- ISBN-13 : 978-0134674148
- Author:
College Mathematics for Business, Economics, Life Sciences, and Social Sciences offers you more built-in guidance than any other applied calculus text available. Its coverage of the construction of mathematical models helps you develop critical tools for solving application problems. Technology coverage is optional, but discussions on using graphing calculators and spreadsheets are included where appropriate.
Table of contents:
I. A LIBRARY OF ELEMENTARY FUNCTIONS Linear Equations and Graphs
1.1 Linear Equations and Inequalities
1.2 Graphs and Lines
1.3 Linear Regression
Chapter 1 Summary and Review Review Exercises 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 Summary and Review Review Exercises
II. FINITE MATHEMATICS 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 Summary and Review Review Exercises 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 Summary and Review Review Exercises Linear Inequalities and Linear Programming
5.1 Linear 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 Summary and Review Review Exercises Linear Programming: The Simplex Method
6.1 The Table Method: An Introduction to the Simplex Method
6.2 The Simplex Method: Maximization with Problem Constraints of the Form ≤
6.3 The Dual Problem: Minimization with Problem Constraints of the Form ≥
6.4 Maximization and Minimization with Mixed Problem Constraints
…
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