Thistitle is a Pearson Global Edition. The Editorial team at Pearson has workedclosely with educators around the world to include content which is especiallyrelevant to students outside the United States. This book is ideal for one- ortwo-semester or two- or three-quarter courses covering topics in collegealgebra, finite mathematics, and calculus for students in business, economics,and the life and social sciences. Introductory Mathematical Analysis for Business, Economics, and the Life andSocial Sciences provides a mathematical foundation for students in avariety of fields and majors.…mehr
Thistitle is a Pearson Global Edition. The Editorial team at Pearson has workedclosely with educators around the world to include content which is especiallyrelevant to students outside the United States. This book is ideal for one- ortwo-semester or two- or three-quarter courses covering topics in collegealgebra, finite mathematics, and calculus for students in business, economics,and the life and social sciences. Introductory Mathematical Analysis for Business, Economics, and the Life andSocial Sciences provides a mathematical foundation for students in avariety of fields and majors. Haeussler, Paul, and Wood establish an emphasison algebraic calculations that sets this text apart from other introductory,applied mathematics books. Because the process of calculating variables buildsskills in mathematical modeling, this emphasis paves the way for students tosolve real-world problems that use calculus. ThebookGÇÖs comprehensive structureGÇöcovering college algebra in Chapters 0 through4, finite mathematics in Chapters 5 through 9, and calculus in Chapters 10through 17GÇöoffers instructors flexibility in how they use the material based onthe course theyGÇÖre teaching, the semester theyGÇÖre at, or what the studentsGÇÖbackground allows and their needs dictate. MyLab-«Math is not included. Students, if MyLab Math is a recommended/mandatory component of the course,please ask your instructor for the correct ISBN. MyLab Math should only bepurchased when required by an instructor. Instructors, contact your Pearsonrepresentative for more information.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
CHAPTER 0 Review of Algebra 0.1 Sets of Real Numbers 0.2 Some Properties of RealNumbers 0.3 Exponents and Radicals 0.4 Operations with AlgebraicExpressions 0.5 Factoring 0.6 Fractions 0.7 Equations, in ParticularLinear Equations 0.8 Quadratic Equations Chapter 0 Review CHAPTER 1 Applications and MoreAlgebra 1.1 Applications of Equations 1.2 Linear Inequalities 1.3 Applications of Inequalities 1.4 Absolute Value 1.5 Summation Notation 1.6 Sequences Chapter 1 Review CHAPTER 2 Functions and Graphs 2.1 Functions 2.2 Special Functions 2.3 Combinations of Functions 2.4 Inverse Functions 2.5 Graphs in RectangularCoordinates 2.6 Symmetry 2.7 Translations and Reflections 2.8 Functions of Several Variables Chapter 2 Review CHAPTER 3 Lines, Parabolas, andSystems 3.1 Lines 3.2 Applications and LinearFunctions 3.3 Quadratic Functions 3.4 Systems of Linear Equations 3.5 Nonlinear Systems 3.6 Applications of Systems ofEquations Chapter 3 Review CHAPTER 4 Exponential and LogarithmicFunctions 4.1 Exponential Functions 4.2 Logarithmic Functions 4.3 Properties of Logarithms 4.4 Logarithmic and ExponentialEquations Chapter 4 Review PART II FINITE MATHEMATICS CHAPTER 5 Mathematics of Finance 5.1 Compound Interest 5.2 Present Value 5.3 Interest CompoundedContinuously 5.4 Annuities 5.5 Amortization of Loans 5.6 Perpetuities Chapter 5 Review CHAPTER 6 Matrix Algebra 6.1 Matrices 6.2 Matrix Addition and ScalarMultiplication 6.3 Matrix Multiplication 6.4 Solving Systems by ReducingMatrices 6.5 Solving Systems by ReducingMatrices (continued) 6.6 Inverses 6.7 Leontiefs Input--OutputAnalysis Chapter 6 Review CHAPTER 7 Linear Programming 7.1 Linear Inequalities in TwoVariables 7.2 Linear Programming 7.3 The Simplex Method 7.4 Artificial Variables 7.5 Minimization 7.6 The Dual Chapter 7 Review CHAPTER 8 Introduction toProbability and Statistics 8.1 Basic Counting Principle andPermutations 8.2 Combinations and OtherCounting Principles 8.3 Sample Spaces and Events 8.4 Probability 8.5 Conditional Probability andStochastic Processes 8.6 Independent Events 8.7 Bayes Formula Chapter 8 Review CHAPTER 9 Additional Topics inProbability 9.1 Discrete Random Variables andExpected Value 9.2 The Binomial Distribution 9.3 Markov Chains Chapter 9 Review PART III CALCULUS CHAPTER 10 Limits and Continuity 10.1 Limits 10.2 Limits (Continued) 10.3 Continuity 10.4 Continuity Applied toInequalities Chapter 10 Review CHAPTER 11 Differentiation 11.1 The Derivative 11.2 Rules for Differentiation 11.3 The Derivative as a Rate ofChange 11.4 The Product Rule and theQuotient Rule 11.5 The Chain Rule Chapter 11 Review CHAPTER 12 AdditionalDifferentiation Topics 12.1 Derivatives of LogarithmicFunctions 12.2 Derivatives of ExponentialFunctions 12.3 Elasticity of Demand 12.4 Implicit Differentiation 12.5 Logarithmic Differentiation 12.6 Newtons Method 12.7 Higher-Order Derivatives Chapter 12 Review CHAPTER 13 Curve Sketching 13.1 Relative Extrema 13.2 Absolute Extrema on a ClosedInterval 13.3 Concavity 13.4 The Second-Derivative Test 13.5 Asymptotes 13.6 Applied Maxima and Minima Chapter 13 Review CHAPTER 14 Integration 14.1 Differentials 14.2 The Indefinite Integral 14.3 Integration with InitialConditions 14.4 More Integration Formulas 14.5 Techniques of Integration 14.6 The Definite Integral 14.7 The Fundamental Theorem ofCalculus Chapter 14 Review CHAPTER 15 Applications ofIntegration 15.1 Integration by Tables 15.2 Approximate Integration 15.3 Area Between Curves 15.4 Consumers and ProducersSurplus 15.5 Average Value of a Function 15.6 Differential Equations 15.7 More Applications ofDifferential Equations 15.8 Improper Integrals Chapter 15 Review CHAPTER 16 Continuous RandomVariables 16.1 Continuous Random Variables 16.2 The Normal Distribution 16.3 The Normal Approximation tothe Binomial Distribution Chapter 16 Review CHAPTER 17 Multivariable Calculus 17.1 Partial Derivatives 17.2 Applications of PartialDerivatives 17.3 Higher-Order Partial Derivatives 17.4 Maxima and Minima forFunctions of Two Variables 17.5 Lagrange Multipliers 17.6 Multiple Integrals Chapter 17 Review APPENDIX A Compound InterestTables APPENDIX B Table of SelectedIntegrals APPENDIX C Areas Under theStandard Normal Curve
CHAPTER 0 Review of Algebra 0.1 Sets of Real Numbers 0.2 Some Properties of RealNumbers 0.3 Exponents and Radicals 0.4 Operations with AlgebraicExpressions 0.5 Factoring 0.6 Fractions 0.7 Equations, in ParticularLinear Equations 0.8 Quadratic Equations Chapter 0 Review CHAPTER 1 Applications and MoreAlgebra 1.1 Applications of Equations 1.2 Linear Inequalities 1.3 Applications of Inequalities 1.4 Absolute Value 1.5 Summation Notation 1.6 Sequences Chapter 1 Review CHAPTER 2 Functions and Graphs 2.1 Functions 2.2 Special Functions 2.3 Combinations of Functions 2.4 Inverse Functions 2.5 Graphs in RectangularCoordinates 2.6 Symmetry 2.7 Translations and Reflections 2.8 Functions of Several Variables Chapter 2 Review CHAPTER 3 Lines, Parabolas, andSystems 3.1 Lines 3.2 Applications and LinearFunctions 3.3 Quadratic Functions 3.4 Systems of Linear Equations 3.5 Nonlinear Systems 3.6 Applications of Systems ofEquations Chapter 3 Review CHAPTER 4 Exponential and LogarithmicFunctions 4.1 Exponential Functions 4.2 Logarithmic Functions 4.3 Properties of Logarithms 4.4 Logarithmic and ExponentialEquations Chapter 4 Review PART II FINITE MATHEMATICS CHAPTER 5 Mathematics of Finance 5.1 Compound Interest 5.2 Present Value 5.3 Interest CompoundedContinuously 5.4 Annuities 5.5 Amortization of Loans 5.6 Perpetuities Chapter 5 Review CHAPTER 6 Matrix Algebra 6.1 Matrices 6.2 Matrix Addition and ScalarMultiplication 6.3 Matrix Multiplication 6.4 Solving Systems by ReducingMatrices 6.5 Solving Systems by ReducingMatrices (continued) 6.6 Inverses 6.7 Leontiefs Input--OutputAnalysis Chapter 6 Review CHAPTER 7 Linear Programming 7.1 Linear Inequalities in TwoVariables 7.2 Linear Programming 7.3 The Simplex Method 7.4 Artificial Variables 7.5 Minimization 7.6 The Dual Chapter 7 Review CHAPTER 8 Introduction toProbability and Statistics 8.1 Basic Counting Principle andPermutations 8.2 Combinations and OtherCounting Principles 8.3 Sample Spaces and Events 8.4 Probability 8.5 Conditional Probability andStochastic Processes 8.6 Independent Events 8.7 Bayes Formula Chapter 8 Review CHAPTER 9 Additional Topics inProbability 9.1 Discrete Random Variables andExpected Value 9.2 The Binomial Distribution 9.3 Markov Chains Chapter 9 Review PART III CALCULUS CHAPTER 10 Limits and Continuity 10.1 Limits 10.2 Limits (Continued) 10.3 Continuity 10.4 Continuity Applied toInequalities Chapter 10 Review CHAPTER 11 Differentiation 11.1 The Derivative 11.2 Rules for Differentiation 11.3 The Derivative as a Rate ofChange 11.4 The Product Rule and theQuotient Rule 11.5 The Chain Rule Chapter 11 Review CHAPTER 12 AdditionalDifferentiation Topics 12.1 Derivatives of LogarithmicFunctions 12.2 Derivatives of ExponentialFunctions 12.3 Elasticity of Demand 12.4 Implicit Differentiation 12.5 Logarithmic Differentiation 12.6 Newtons Method 12.7 Higher-Order Derivatives Chapter 12 Review CHAPTER 13 Curve Sketching 13.1 Relative Extrema 13.2 Absolute Extrema on a ClosedInterval 13.3 Concavity 13.4 The Second-Derivative Test 13.5 Asymptotes 13.6 Applied Maxima and Minima Chapter 13 Review CHAPTER 14 Integration 14.1 Differentials 14.2 The Indefinite Integral 14.3 Integration with InitialConditions 14.4 More Integration Formulas 14.5 Techniques of Integration 14.6 The Definite Integral 14.7 The Fundamental Theorem ofCalculus Chapter 14 Review CHAPTER 15 Applications ofIntegration 15.1 Integration by Tables 15.2 Approximate Integration 15.3 Area Between Curves 15.4 Consumers and ProducersSurplus 15.5 Average Value of a Function 15.6 Differential Equations 15.7 More Applications ofDifferential Equations 15.8 Improper Integrals Chapter 15 Review CHAPTER 16 Continuous RandomVariables 16.1 Continuous Random Variables 16.2 The Normal Distribution 16.3 The Normal Approximation tothe Binomial Distribution Chapter 16 Review CHAPTER 17 Multivariable Calculus 17.1 Partial Derivatives 17.2 Applications of PartialDerivatives 17.3 Higher-Order Partial Derivatives 17.4 Maxima and Minima forFunctions of Two Variables 17.5 Lagrange Multipliers 17.6 Multiple Integrals Chapter 17 Review APPENDIX A Compound InterestTables APPENDIX B Table of SelectedIntegrals APPENDIX C Areas Under theStandard Normal Curve
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