eBook [PDF] Finite Mathematics and Applied Calculus 7th Edition By Stefan Waner, Steven Costenoble

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Finite Mathematics and Applied Calculus, 7th Edition By Stefan Waner, Steven Costenoble Get all 16 Chapters eBook PDF. Table of Contents Preface Chapter 0: Precalculus Review Introduction ... 0.1 Real Numbers 0.2 Exponents and Radicals 0.3 Multiplying and Factoring Algebraic Expressions 0.4 Rational Expressions 0.5 Solving Polynomial Equations 0.6 Solving Miscellaneous Equations 0.7 The Coordinate Plane 0.8 Logarithms Chapter 1: Functions and Applications Introduction 1.1 Functions from the Numerical, Algebraic, and Graphical Viewpoints 1.2 Functions and Models 1.3 Linear Functions and Models 1.4 Linear Regression Chapter 1 Review Chapter 2: Nonlinear Functions and Models Introduction 2.1 Quadratic Functions and Models 2.2 Exponential Functions and Models 2.3 Logarithmic Functions and Models 2.4 Logistic Functions and Models Chapter 2 Review Chapter 3: The Mathematics of Finance Introduction 3.1 Simple Interest 3.2 Compound Interest 3.3 Annuities, Loans, and Bonds Chapter 3 Review Chapter 4: Systems of Linear Equations and Matrices Introduction 4.1 Systems of Two Equations in Two Unknowns 4.2 Using Matrices to Solve Systems of Equations 4.3 Applications of Systems of Linear Equations Chapter 4 Review Chapter 5: Matrix Algebra and Applications Introduction 5.1 Matrix Addition and Scalar Multiplication 5.2 Matrix Multiplication 5.3 Matrix Inversion 5.4 Game Theory 5.5 Input-Output Models Chapter 5 Review Chapter 6: Linear Programming Introduction 6.1 Graphing Linear Inequalities 6.2 Solving Linear Programming Problems Graphically 6.3 The Simplex Method: Solving Standard Maximization Problems 6.4 The Simplex Method: Solving General Linear Programming Problems 6.5 The Simplex Method and Duality Chapter 6 Review Chapter 7: Sets and Counting Introduction 7.1 Sets and Set Operations 7.2 Cardinality 7.3 Decision Algorithms: The Addition and Multiplication Principles 7.4 Permutations and Combinations Chapter 7 Review Chapter 8: Probability Introduction 8.1 Sample Spaces and Events 8.2 Relative Frequency 8.3 Probability and Probability Models 8.4 Probability and Counting Techniques 8.5 Conditional Probability and Independence 8.6 Bayes' Theorem and Applications 8.7 Markov Systems Chapter 8 Review Chapter 9: Random Variables and Statistics Introduction 9.1 Random Variables and Distributions 9.2 Bernoulli Trials and Binomial Random Variables 9.3 Measures of Central Tendency 9.4 Measures of Dispersion 9.5 Normal Distributions Chapter 9 Review Chapter 10: Introduction to the Derivative Introduction 10.1 Limits: Numerical and Graphical Viewpoints 10.2 Limits and Continuity 10.3 Limits and Continuity: Algebraic Viewpoint 10.4 Average Rate of Change 10.5 The Derivative: Numerical and Graphical Viewpoints 10.6 The Derivative: Algebraic Viewpoint Chapter 10 Review Chapter 11: Techniques of Differentiation with Applications Introduction 11.1 Derivatives of Powers, Sums, and Constant Multiples 11.2 A First Application: Marginal Analysis 11.3 The Product and Quotient Rules 11.4 The Chain Rule 11.5 Derivatives of Logarithmic and Exponential Functions 11.6 Implicit Differentiation Chapter 11 Review Chapter 12: Further Applications of the Derivative Introduction 12.1 Maxima and Minima 12.2 Applications of Maxima and Minima 12.3 Higher Order Derivatives: Acceleration and Concavity 12.4 Analyzing Graphs 12.5 Related Rates 12.6 Elasticity Chapter 12 Review Chapter 13: The Integral Introduction 13.1 The Indefinite Integral 13.2 Substitution 13.3 The Definite Integral: Numerical and Graphical Viewpoints 13.4 The Definite Integral: Algebraic Viewpoint and the Fundamental Theorem of Calculus Chapter 13 Review Chapter 14: Further Integration Techniques and Applications of the Integral Introduction 14.1 Integration by Parts 14.2 Area between Two Curves and Applications 14.3 Averages and Moving Averages 14.4 Applications to Business and Economics: Consumers' and Producers' Surplus and Continuous Income 14.5 Improper Integrals and Applications 14.6 Differential Equations and Applications Chapter 14 Review Chapter 15: Functions of Several Variables Introduction 15.1 Functions of Several Variables from the Numerical, Algebraic, and Graphical Viewpoints 15.2 Partial Derivatives 15.3 Maxima and Minima 15.4 Constrained Maxima and Minima and Applications 15.5 Double Integrals and Applications Chapter 15 Review Chapter 16: Trigonometric Models Introduction 16.1 Trigonometric Functions, Models, and Regression 16.2 Derivatives of Trigonometric Functions and Applications 16.3 Integrals of Trigonometric Functions and Applications Chapter 16 Review Appendix A: Logic Appendix B: Area under a Normal Curve Answers to Selected Exercises Index Index of Companies and Agencies [Show More]

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