Dieses Fachbuch erläutert die Verfahren, Methoden und Anwendungen der Differential- und Integralrechnung anhand praktischer Beispiele aus der Betriebs- und Wirtschaftswissenschaft, den Bio- und Sozialwissenschaften. Fundamentals of Calculus als Einführung in die Differential- und Integralrechnung präsentiert Schlüsselthemen und richtet sich an eine Vielzahl von Lesern, u. a. an Unternehmen, Ökonomen, Ökologen und Sozialwissenschaftler. In jedem Kapitel werden praxisrelevante Beispiele aus unterschiedlichsten Themenbereichen vorgestellt, die Lösungen Schritt für Schritt erläutert.…mehr
Dieses Fachbuch erläutert die Verfahren, Methoden und Anwendungen der Differential- und Integralrechnung anhand praktischer Beispiele aus der Betriebs- und Wirtschaftswissenschaft, den Bio- und Sozialwissenschaften.
Fundamentals of Calculus als Einführung in die Differential- und Integralrechnung präsentiert Schlüsselthemen und richtet sich an eine Vielzahl von Lesern, u. a. an Unternehmen, Ökonomen, Ökologen und Sozialwissenschaftler.
In jedem Kapitel werden praxisrelevante Beispiele aus unterschiedlichsten Themenbereichen vorgestellt, die Lösungen Schritt für Schritt erläutert. Wichtige Informationen werden durch spezielle Verfahren präzisiert, so beispielsweise durch mathematische Symbole, die immer wieder auftauchen und so das Verständnis festigen.
Darüber hinaus werden finite Elemente zur Lösung von Differential- und Integalrechnungen im Hinblick auf Potenz-, Quotienten- und Multiplikationsregeln erklärt, die auch sonst in der Mathematik Anwendung finden. Informationen zur historischen Entwicklung der Differential- und Integralrechnung runden jedes Kapitel ab.
CARLA C. MORRIS, PhD, is Assistant Professor of Mathematics in the Associate in Arts Program at the University of Delaware. A member of The Institute for Operations Research and the Management Sciences and the Mathematical Association of America, Dr. Morris teaches courses ranging from college algebra to calculus and statistics. ROBERT M. STARK, PhD, is Professor Emeritus in the Departments of Mathematical Sciences and Civil and Environmental Engineering at the University of Delaware. Dr. Stark's teaching and research interests include applied probability, mathematical optimization, operations research, and mathematics education.
Inhaltsangabe
Preface ix About the Authors xiii 1 Linear Equations and Functions 1 1.1 Solving Linear Equations 2 1.2 Linear Equations and their Graphs 7 1.3 Factoring and the Quadratic Formula 16 1.4 Functions and their Graphs 25 1.5 Laws of Exponents 34 1.6 Slopes and Relative Change 37 2 The Derivative 43 2.1 Slopes of Curves 44 2.2 Limits 46 2.3 Derivatives 52 2.4 Differentiability and Continuity 59 2.5 Basic Rules of Differentiation 63 2.6 Continued Differentiation 66 2.7 Introduction to Finite Differences 70 3 Using The Derivative 76 3.1 Describing Graphs 77 3.2 First and Second Derivatives 83 3.3 Curve Sketching 92 3.4 Applications of Maxima and Minima 95 3.5 Marginal Analysis 103 4 Exponential and Logarithmic Functions 109 4.1 Exponential Functions 109 4.2 Logarithmic Functions 113 4.3 Derivatives of Exponential Functions 119 4.4 Derivatives of Natural Logarithms 121 4.5 Models of Exponential Growth and Decay 123 4.6 Applications to Finance 129 5 Techniques of Differentiation 138 5.1 Product and Quotient Rules 139 5.2 The Chain Rule and General Power Rule 144 5.3 Implicit Differentiation and Related Rates 147 5.4 Finite Differences and Antidifferences 153 6 Integral Calculus 166 6.1 Indefinite Integrals 168 6.2 Riemann Sums 174 6.3 Integral Calculus - The Fundamental Theorem 178 6.4 Area Between Intersecting Curves 184 7 Techniques of Integration 192 7.1 Integration by Substitution 193 7.2 Integration by Parts 196 7.3 Evaluation of Definite Integrals 199 7.4 Partial Fractions 201 7.5 Approximating Sums 205 7.6 Improper Integrals 210 8 Functions of Several Variables 214 8.1 Functions of Several Variables 215 8.2 Partial Derivatives 217 8.3 Second-Order Partial Derivatives - Maxima and Minima 223 8.4 Method of Least Squares 228 8.5 Lagrange Multipliers 231 8.6 Double Integrals 235 9 Series and Summations 240 9.1 Power Series 241 9.2 Maclaurin and Taylor Polynomials 245 9.3 Taylor and Maclaurin Series 250 9.4 Convergence and Divergence of Series 256 9.5 Arithmetic and Geometric Sums 263 10 Applications to Probability 269 10.1 Discrete and Continuous Random Variables 270 10.2 Mean and Variance; Expected Value 278 10.3 Normal Probability Density Function 283 Answers to Odd Numbered Exercises 295 Index 349
Preface ix About the Authors xiii 1 Linear Equations and Functions 1 1.1 Solving Linear Equations 2 1.2 Linear Equations and their Graphs 7 1.3 Factoring and the Quadratic Formula 16 1.4 Functions and their Graphs 25 1.5 Laws of Exponents 34 1.6 Slopes and Relative Change 37 2 The Derivative 43 2.1 Slopes of Curves 44 2.2 Limits 46 2.3 Derivatives 52 2.4 Differentiability and Continuity 59 2.5 Basic Rules of Differentiation 63 2.6 Continued Differentiation 66 2.7 Introduction to Finite Differences 70 3 Using The Derivative 76 3.1 Describing Graphs 77 3.2 First and Second Derivatives 83 3.3 Curve Sketching 92 3.4 Applications of Maxima and Minima 95 3.5 Marginal Analysis 103 4 Exponential and Logarithmic Functions 109 4.1 Exponential Functions 109 4.2 Logarithmic Functions 113 4.3 Derivatives of Exponential Functions 119 4.4 Derivatives of Natural Logarithms 121 4.5 Models of Exponential Growth and Decay 123 4.6 Applications to Finance 129 5 Techniques of Differentiation 138 5.1 Product and Quotient Rules 139 5.2 The Chain Rule and General Power Rule 144 5.3 Implicit Differentiation and Related Rates 147 5.4 Finite Differences and Antidifferences 153 6 Integral Calculus 166 6.1 Indefinite Integrals 168 6.2 Riemann Sums 174 6.3 Integral Calculus - The Fundamental Theorem 178 6.4 Area Between Intersecting Curves 184 7 Techniques of Integration 192 7.1 Integration by Substitution 193 7.2 Integration by Parts 196 7.3 Evaluation of Definite Integrals 199 7.4 Partial Fractions 201 7.5 Approximating Sums 205 7.6 Improper Integrals 210 8 Functions of Several Variables 214 8.1 Functions of Several Variables 215 8.2 Partial Derivatives 217 8.3 Second-Order Partial Derivatives - Maxima and Minima 223 8.4 Method of Least Squares 228 8.5 Lagrange Multipliers 231 8.6 Double Integrals 235 9 Series and Summations 240 9.1 Power Series 241 9.2 Maclaurin and Taylor Polynomials 245 9.3 Taylor and Maclaurin Series 250 9.4 Convergence and Divergence of Series 256 9.5 Arithmetic and Geometric Sums 263 10 Applications to Probability 269 10.1 Discrete and Continuous Random Variables 270 10.2 Mean and Variance; Expected Value 278 10.3 Normal Probability Density Function 283 Answers to Odd Numbered Exercises 295 Index 349
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