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Introductory  Mathematical  Analysis for Business, Economics and the Life and social Sciences - Ernest F Haeussler, Richard S. Paul, R.J. Wood

Introductory Mathematical Analysis for Business, Economics and the Life and social Sciences

International Edition
Buch | Softcover
1056 Seiten
2004 | 11th edition
Pearson (Verlag)
978-0-13-127629-1 (ISBN)
CHF 115,15 inkl. MwSt
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Suitable for courses in Mathematics for Business and Mathematical Methods in Business, this text provides a mathematical foundation for students in business, economics, and the life and social sciences. It covers such diverse areas as business, economics, biology, medicine, sociology, psychology, statistics, earth science, and archaeology.
For courses in Mathematics for Business and Mathematical Methods in Business.

This classic text continues to provide a mathematical foundation for students in business, economics, and the life and social sciences. Abundant applications cover such diverse areas as business, economics, biology, medicine, sociology, psychology, ecology, statistics, earth science, and archaeology. Its depth and completeness of coverage enables instructors to tailor their courses to studentsÕ needs. The authors frequently employ novel derivations that are not widespread in other books at this level.

Each chapter concludes with a Review and a Mathematical Snapshot.

Chapter 0 Algebra Review 0.1 Sets of Real Numbers 0.2 Some Properties of Real Numbers 0.3 Exponents and Radicals 0.4 Operations with Algebraic Expressions 0.5 Factoring 0.6 Fractions 0.7 Linear Equations 0.8 Quadratic Equations Mathematical Snapshot


Chapter 1 Applications of Equations and Inequalities


1.1 Applications of Equations



1.2 Linear Inequalities



1.3 Applications of Inequalities



1.4 Absolute Value



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 Rectangular Coordinates



2.6 Symmetry



2.7 Translations and Reflection



Chapter 3 Lines, Parabolas, and Systems


3.1 Lines



3.2 Applications and Linear Functions



3.3 Quadratic Functions



3.4 Systems of Linear Equations



3.5 Nonlinear Systems



3.6 Applications of Systems of Equations



Chapter 4 Exponential and Logarithmic Functions


4.1 Exponential Functions



4.2 Logarithmic Functions



4.3 Properties of Logarithms



4.4 Logarithmic and Exponential Equations



Chapter 5 Mathematics of Finance


5.1 Compound Interest



5.2 Present Value



5.3 Annuities



5.4 Amortization of Loans



Chapter 6 Matrix Algebra


6.1 Matrices



6.2 Matrix Addition and Scalar Multiplication



6.3 Matrix Multiplication



6.5 Solving Systems by Reducing Matrices



6.5 Method of Reduction (continued)



6.6 Inverses



6.6 Leontief's Input-Output Analysis



Chapter 7 Linear Programming


7.1 Linear Inequalities in Two Variables



7.2 Linear Programming



7.3 Multiple Optimum Solutions



7.4 The Simplex Method



7.5 Degeneracy, Unbounded Solutions, and Multiple Optimum Solutions



7.6 Artificial Variables



7.7 Minimization



7.8 The Dual



Chapter 8 Introduction to Probability


8.1 Basic Counting Principle and Permutations



8.2 Combinations and Other Counting Principles



8.3 Sample Spaces and Events



8.4 Probability



8.5 Conditional Probability and Stochastic Processes



8.6 Independent Events



8.7 Bayes' Formula



Chapter 9 Additional Topics in Probability


9.1 Discrete Random Variables



9.2 The Binomial Distribution



9.3 Markov Chains



Chapter 10 Limits and Continuity


10.1 Limits



10.2 Limits (Continued)



10.3 Interest Compounded Continuously



10.4 Continuity



10.5 Continuity Applied to Inequalities



Chapter 11 Differentiation


11.1 The Derivative



11.2 Rules for Differentiation



11.3 The Derivative as a Rate of Change



11.4 Differentiability and Continuity



11.5 Product and Quotient Rules



11.6 The Chain Rule and the Power Rule



Chapter 12 Additional Differentiation Topics


12.1 Derivatives of Logarithmic Functions



12.2 Derivatives of Exponential Functions



12.3 Elasticity of Demand



12.4 Implicit Differentiation



12.5 Logarithmic Differentiation



12.6 Newton's Method



12.7 Higher Order Derivatives



Chapter 13 Curve Sketching


13.1 Relative Extrema



13.2 Absolute Extrema on a Closed Interval



13.3 Concavity



13.4 The Second Derivative Test



13.5 Asymptotes



13.6 Applied Maxima and Minima



Chapter 14 Integration


14.1 Differentials



14.2 The Indefinite Integral



14.3 Integration with Initial Conditions



14.4 Some Integration Formulas



14.5 Techniques of Integration



14.6 Summation



14.7 The Definite Integral



14.8 The Fundamental Theorem of Calculus



14.9 Approximate Integration



14.10 Area



14.11 Area Between Curves



14.12 Consumers' and Producers' Surplus



Chapter 15 Further Methods and Applications of Integration


15.1 Integration by Parts



15.2 Integration by Partial Fractions



15.3 Integration by Tables



15.4 Average Value of a Function



15.5 Differential Equations



15.6 More Applications of Differential Equations



15.7 Improper Integrals



Chapter 16 Continuous Random Variables


16.1 Continuous Random Variables



16.2 The Normal Distribution



16.3 The Normal Approximation to the Binomial Distribution



Chapter 17 Multivariable Calculus


17.1 Functions of Several Variables



17.2 Partial Derivatives



17.3 Applications of Partial Derivatives



17.4 Implicit Partial Differentiation



17.5 Higher Order Partial Derivatives



17.6 The Chain Rule



17.7 Maxima and Minima for Functions of Two Variables



17.8 Lagrange Multipliers



17.9 Lines of Regression



17.10 A Comment on Homogeneous Functions



17.11 Multiple Integrals



Answers to Odd-Numbered Problems


Index

Erscheint lt. Verlag 13.5.2004
Sprache englisch
Maße 204 x 254 mm
Gewicht 1762 g
Themenwelt Mathematik / Informatik Mathematik Analysis
ISBN-10 0-13-127629-8 / 0131276298
ISBN-13 978-0-13-127629-1 / 9780131276291
Zustand Neuware
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