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 Barnett, Raymond A., author.
 Thirteenth edition, Global edition.  Harlow, Essex, England : Pearson, [2015]
 Description
 Book — 1040 pages : illustrations ; 28 cm
 Summary

 Diagnostic Prerequisite Test PART ONE: A LIBRARY OF ELEMENTARY FUNCTIONS
 1. Linear Equations and Graphs 1.1 Linear Equations and Inequalities 1.2 Graphs and Lines 1.3 Linear Regression
 Chapter 1 Review Review Exercises
 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 Exercises PART TWO: FINITE MATHEMATICS
 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 Exercises
 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 GaussJordan 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 InputOutput Analysis
 Chapter 4 Review Review Exercises
 5. 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 Review Review Exercises
 6. 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 Minimization with Problem Constraints of the form => 6.4 Maximization and Minimization with Mixed Problem Constraints
 Chapter 6 Review Review Exercises
 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 Exercises
 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 Exercises
 9. Markov Chains 9.1 Properties of Markov Chains 9.2 Regular Markov Chains 9.3 Absorbing Markov Chains
 Chapter 9 Review Review Exercises PART THREE: CALCULUS
 10. Limits and the Derivative 10.1 Introduction to Limits 10.2 Infinite Limits and Limits at Infinity 10.3 Continuity 10.4 The Derivative 10.5 Basic Differentiation Properties 10.6 Differentials 10.7 Marginal Analysis in Business and Economics
 Chapter 10 Review Review Exercises
 11. Additional Derivative Topics 11.1 The Constant e and Continuous Compound Interest 11.2 Derivatives of Logarithmic and Exponential Functions 11.3 Derivatives of Products and Quotients 11.4 The Chain Rule 11.4 Implicit Differentiation 11.5 Related Rates 11.7 Elasticity of Demand
 Chapter 11 Review Review Exercises
 12. Graphing and Optimization 12.1 First Derivative and Graphs 12.2 Second Derivative and Graphs 12.3 L'Hopital's Rule 12.4 Curve Sketching Techniques 12.5 Absolute Maxima and Minima 12.6 Optimization
 Chapter 12 Review Review Exercises
 13. Integration 13.1 Antiderivatives and Indefinite Integrals 13.2 Integration by Substitution 13.3 Differential Equations Growth and Decay 13.4 The Definite Integral 13.5 The Fundamental Theorem of Calculus
 Chapter 13 Review Review Exercises
 14. Additional Integration Topics 14.1 Area Between Curves 14.2 Applications in Business and Economics 14.3 Integration by Parts 14.4 Other Integration Methods
 Chapter 14 Review Review Exercises
 15. Multivariable Calculus 15.1 Functions of Several Variables 15.2 Partial Derivatives 15.3 Maxima and Minima 15.4 Maxima and Minima Using Lagrange Multipliers 15.5 Method of Least Squares 15.6 Double Integrals Over Rectangular Regions 15.7 Double Integrals Over More General Regions
 Chapter 15 Review Review Exercises APPENDICES A. Basic Algebra Review A.1 Algebra and Real Numbers A.2 Operations on Polynomials A.3 Factoring Polynomials A.4 Operations on Rational Expressions A.5 Integer Exponents and Scientific Notation A.6 Rational Exponents and Radicals A.7 Quadratic Equations B. Special Topics B.1 Sequences, Series, and Summation Notation B.2 Arithmetic and Geometric Sequences B.3 Binomial Theorem C. Tables Table I. Basic Geometric Formulas Table II. Integration Formulas Answers Index Applications Index A Library of Elementary Functions.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
Science Library (Li and Ma)
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QA37.3 .B37 2015  Unknown 
 Harshbarger, Ronald J., 1938 author.
 12th edition.  Boston, MA : Cengage Learning, [2019]
 Description
 Book — XV, 901 pages, pages AP 145, A 167, I 118 : illustrations ; 29 cm
 Summary

 0. ALGEBRAIC CONCEPTS. Sets. The Real Numbers. Integral Exponents. Radicals and Rational Exponents. Operations with Algebraic Expressions. Factoring. Algebraic Fractions.
 1. LINEAR EQUATIONS AND FUNCTIONS. Solutions of Linear Equations and Inequalities in One Variable. Functions. Linear Functions. Graphs and Graphing Utilities. Solutions of Systems of Linear Equations. Applications of Functions in Business and Economics.
 2. QUADRATIC AND OTHER SPECIAL FUNCTIONS. Quadratic Equations. Quadratic Functions: Parabolas. Business Applications Using Quadratics. Special Functions and Their Graphs. Modeling Fitting Curves to Data with Graphing Utilities (optional).
 3. MATRICES. Matrices. Multiplication of Matrices. GaussJordan Elimination: Solving Systems of Equations. Inverse of a Square Matrix Matrix Equations. Applications of Matrices: Leontief InputOutput Models.
 4. INEQUALITIES AND LINEAR PROGRAMMING. Linear Inequalities in Two Variables. Linear Programming: Graphical Methods. The Simplex Method: Maximization. The Simplex Method: Duality and Minimization. The Simplex Method with Mixed Constraints.
 5. EXPONENTIAL AND LOGARITHMIC FUNCTIONS. Exponential Functions. Logarithmic Functions and Their Properties. Equations and Applications with Exponential and Logarithmic Functions.
 6. MATHEMATICS OF FINANCE. Simple Interest Sequences. Compound Interest Geometric Sequences. Future Values of Annuities. Present Values of Annuities. Loans and Amortization.
 7. INTRODUCTION TO PROBABILITY. Probability Odds. Unions and Intersections of Events: OneTrial Experiments. Conditional Probability: The Product Rule. Probability Trees and Bayes'' Formula. Counting: Permutations and Combinations. Permutations, Combinations, and Probability. Markov Chains.
 8. FURTHER TOPICS IN PROBABILITY DATA DESCRIPTION. Binomial Probability Experiments. Data Description. Discrete Probability Distributions The Binomial Distribution. Normal Probability Distribution. The Normal Curve Approximation to the Binomial Distribution.
 9. DERIVATIVES. Limits. Continuous Functions Limits at Infinity. Rates of Change and Derivatives. Derivative Formulas. The Product Rule and the Quotient Rule. The Chain Rule and the Power Rule. Using Derivative Formulas. HigherOrder Derivatives. Applications: Marginals and Derivatives.
 10. APPLICATIONS AND DERIVATIVES. Relative Maxima and Minima: Curve Sketching. Concavity: Points of Inflection. Optimization in Business and Economics. Applications of Maxima and Minima. Rational Functions: More Curve Sketching.
 11. DERIVATIVES CONTINUED. Derivatives of Logarithmic Functions. Derivatives of Exponential Functions. Implicit Differentiation. Related Rates. Applications in Business and Economics.
 12. INDEFINITE INTEGRALS. Indefinite Integrals. The Power Rule. Integrals Involving Exponential and Logarithmic Functions. Applications of the Indefinite Integral in Business and Economics. Differential Equations.
 13. DEFINITE INTEGRALS: TECHNIQUES OF INTEGRATION. Area Under a Curve. The Definite Integral: The Fundamental Theorem of Calculus. Area Between Two Curves. Applications of Definite Integrals in Business and Economics. Using Tables of Integrals. Integration by Parts. Improper Integrals and Their Applications. Numerical Integration Methods: The Trapezoidal Rule and Simpson''s Rule.
 14. FUNCTIONS OF TWO OR MORE VARIABLES. Functions of Two or More Variables. Partial Differentiation. Applications of Functions of Two Variables in Business and Economics. Maxima and Minima. Maxima and Minima of Functions Subject to Constraints: Lagrange Multipliers. APPENDICES. A. Graphing Calculator Guide. B. Excel Guide. C. Areas Under the Standard Normal Curve.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

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HF5691 .H3184 2019  Unknown 
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