A traditional book with a modern feel, market-leading APPLIED MATHEMATICS FOR THE MANAGERIAL, LIFE, AND SOCIAL SCIENCES, Seventh Edition, teaches by application and uses real-world examples to motivate students. It combines solid theory with innovative technology, includes a robust supplement package, and offers unmatched flexibility that caters to both traditional and modern practitioners. Accessible for majors and non-majors alike, the Seventh Edition utilizes an intuitive approach that marries real-life instances to what would otherwise be abstract concepts. This is the focus of the…mehr
A traditional book with a modern feel, market-leading APPLIED MATHEMATICS FOR THE MANAGERIAL, LIFE, AND SOCIAL SCIENCES, Seventh Edition, teaches by application and uses real-world examples to motivate students. It combines solid theory with innovative technology, includes a robust supplement package, and offers unmatched flexibility that caters to both traditional and modern practitioners. Accessible for majors and non-majors alike, the Seventh Edition utilizes an intuitive approach that marries real-life instances to what would otherwise be abstract concepts. This is the focus of the insightful Portfolios, which highlight the careers of real people and discuss how they use math in their professions. Numerous exercises ensure that students have a solid understanding of concepts before advancing to the next topic. By offering a powerful array of supplements such as Enhanced WebAssign, the Seventh Edition enables students to maximize their study time and succeed in class.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Soo T. Tan has published numerous papers in Optimal Control Theory and Numerical Analysis. He received his S.B. degree from Massachusetts Institute of Technology, his M.S. degree from the University of Wisconsin-Madison, and his Ph.D. from the University of California at Los Angeles. "One of the most important lessons I learned from my early experience teaching these courses is that many of the students come into these courses with some degree of apprehension. This awareness led to the intuitive approach I have adopted in all of my texts."
Inhaltsangabe
1. FUNDAMENTALS OF ALGEBRA. 1.1 Real Numbers; 1.2 Polynomials; 1.3 Factoring Polynomials; 1.4 Rational Expressions; 1.5 Integral Exponents; 1.6 Solving Equations; 1.7 Rational Exponents and Radicals; 1.8 Quadratic Equations; 1.9 Inequalities and Absolute Value. 2. FUNCTIONS AND THEIR GRAPHS. 2.1 The Cartesian Coordinate System and Straight Lines; 2.2 Equations of Lines; 2.3 Functions and Their Graphs; 2.4 The Algebra of Functions; 2.5 Linear Functions; 2.6 Quadratic Functions; 2.7 Functions and Mathematical Models; 2.8 The Method of Least Squares (Optional). 3. EXPONENTIAL AND LOGARITHMIC FUNCTIONS. 3.1 Exponential Functions; 3.2 Logarithmic Functions; 3.3 Exponential Functions as Mathematical Models. 4. MATHEMATICS OF FINANCE. 4.1 Compound Interest; 4.2 Annuities; 4.3 Amortization and Sinking Funds; 4.4 Arithmetic and Geometric Progressions. 5. SYSTEMS OF LINEAR EQUATIONS AND MATRICES. 5.1 Systems of Linear Equations: An Introduction; 5.2 Systems of Linear Equations: Unique Solutions; 5.3 Systems of Linear Equations: Underdetermined.and Overdetermined Systems; 5.4 Matrices; 5.5 Multiplication of Matrices; 5.6 The Inverse of a Square Matrix. 6. LINEAR PROGRAMMING. 6.1 Graphing Systems of Linear Inequalities in Two Variables; 6.2 Linear Programming Problems; 6.3 Graphical Solution of Linear Programming Problems; 6.4 The Simplex Method: Standard Maximization Problems; 6.5 The Simplex Method: Standard Minimization Problems. 7. SETS AND PROBABILITY. 7.1 Sets and Set Operations; 7.2 The Number of Elements in a Finite Set; 7.3 The Multiplication Principle; 7.4 Permutations and Combinations; 7.5 Experiments, Sample Spaces, and Events; 7.6 Definition of Probability; 7.7 Rules of Probability. 8. ADDITIONAL TOPICS IN PROBABILITY. 8.1 Use of Counting Techniques in Probability; 8.2 Conditional Probability and Independent Events; 8.3 Bayes' Theorem; 8.4 Distributions of Random Variables; 8.5 Expected Value; 8.6 Variance and Standard Deviation. 9. THE DERIVATIVE. 9.1 Limits; 9.2 One-Sided Limits and Continuity; 9.3 The Derivative; 9.4 Basic Rules of Differentiation; 9.5 The Product and Quotient Rules; Higher Order Derivatives; 9.6 The Chain Rule; 9.7 Differentiation of Exponential and Logarithmic Functions; 9.8 Marginal Functions in Economics. 10. APPLICATIONS OF THE DERIVATIVE. 10.1 Applications of the First Derivative; 10.2 Applications of the Second Derivative; 10.3 Curve Sketching; 10.4 Optimization I; 10.5 Optimization II. 11. INTEGRATION. 11.1 Antiderivatives and the Rules of Integration; 11.2 Integration by Substitution; 11.3 Area and the Definite Integral; 11.4 The Fundamental Theorem of Calculus; 11.5 Evaluating Definite Integrals; 11.6 Area between Two Curves; 11.7 Applications of the Definite Integral to Business and Economics. 12. CALCULUS OF SEVERAL VARIABLES. 12.1 Functions of Several Variables; 12.2 Partial Derivatives; 12.3 Maxima and Minima of Functions of Several Variables.
1. FUNDAMENTALS OF ALGEBRA. 1.1 Real Numbers; 1.2 Polynomials; 1.3 Factoring Polynomials; 1.4 Rational Expressions; 1.5 Integral Exponents; 1.6 Solving Equations; 1.7 Rational Exponents and Radicals; 1.8 Quadratic Equations; 1.9 Inequalities and Absolute Value. 2. FUNCTIONS AND THEIR GRAPHS. 2.1 The Cartesian Coordinate System and Straight Lines; 2.2 Equations of Lines; 2.3 Functions and Their Graphs; 2.4 The Algebra of Functions; 2.5 Linear Functions; 2.6 Quadratic Functions; 2.7 Functions and Mathematical Models; 2.8 The Method of Least Squares (Optional). 3. EXPONENTIAL AND LOGARITHMIC FUNCTIONS. 3.1 Exponential Functions; 3.2 Logarithmic Functions; 3.3 Exponential Functions as Mathematical Models. 4. MATHEMATICS OF FINANCE. 4.1 Compound Interest; 4.2 Annuities; 4.3 Amortization and Sinking Funds; 4.4 Arithmetic and Geometric Progressions. 5. SYSTEMS OF LINEAR EQUATIONS AND MATRICES. 5.1 Systems of Linear Equations: An Introduction; 5.2 Systems of Linear Equations: Unique Solutions; 5.3 Systems of Linear Equations: Underdetermined.and Overdetermined Systems; 5.4 Matrices; 5.5 Multiplication of Matrices; 5.6 The Inverse of a Square Matrix. 6. LINEAR PROGRAMMING. 6.1 Graphing Systems of Linear Inequalities in Two Variables; 6.2 Linear Programming Problems; 6.3 Graphical Solution of Linear Programming Problems; 6.4 The Simplex Method: Standard Maximization Problems; 6.5 The Simplex Method: Standard Minimization Problems. 7. SETS AND PROBABILITY. 7.1 Sets and Set Operations; 7.2 The Number of Elements in a Finite Set; 7.3 The Multiplication Principle; 7.4 Permutations and Combinations; 7.5 Experiments, Sample Spaces, and Events; 7.6 Definition of Probability; 7.7 Rules of Probability. 8. ADDITIONAL TOPICS IN PROBABILITY. 8.1 Use of Counting Techniques in Probability; 8.2 Conditional Probability and Independent Events; 8.3 Bayes' Theorem; 8.4 Distributions of Random Variables; 8.5 Expected Value; 8.6 Variance and Standard Deviation. 9. THE DERIVATIVE. 9.1 Limits; 9.2 One-Sided Limits and Continuity; 9.3 The Derivative; 9.4 Basic Rules of Differentiation; 9.5 The Product and Quotient Rules; Higher Order Derivatives; 9.6 The Chain Rule; 9.7 Differentiation of Exponential and Logarithmic Functions; 9.8 Marginal Functions in Economics. 10. APPLICATIONS OF THE DERIVATIVE. 10.1 Applications of the First Derivative; 10.2 Applications of the Second Derivative; 10.3 Curve Sketching; 10.4 Optimization I; 10.5 Optimization II. 11. INTEGRATION. 11.1 Antiderivatives and the Rules of Integration; 11.2 Integration by Substitution; 11.3 Area and the Definite Integral; 11.4 The Fundamental Theorem of Calculus; 11.5 Evaluating Definite Integrals; 11.6 Area between Two Curves; 11.7 Applications of the Definite Integral to Business and Economics. 12. CALCULUS OF SEVERAL VARIABLES. 12.1 Functions of Several Variables; 12.2 Partial Derivatives; 12.3 Maxima and Minima of Functions of Several Variables.
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