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

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ISBN-10: 0131139487

ISBN-13: 9780131139480

Edition: 11th 2005

Authors: Ernest F. Haeussler, Richard S. Paul, R. J. Wood

List price: $144.00
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Description:

Introductory Mathematical Analysis continues to provide a mathematical foundation for students in business, economics, and the life and social sciences. The abundant applications in the book cover such diverse areas as business, economics, biology, medicine, sociology, psychology, ecology, statistics, earth science, and archaeology.For anyone interested in learning more about introductory mathematical analysis.
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Book details

List price: $144.00
Edition: 11th
Copyright year: 2005
Publisher: Prentice Hall PTR
Publication date: 4/8/2004
Binding: Hardcover
Pages: 1056
Size: 8.19" wide x 9.29" long x 1.50" tall
Weight: 4.576
Language: English

Each chapter concludes with a Review and a Mathematical Snapshot
Algebra Review
Sets of Real Numbers
Some Properties of Real Numbers
Exponents and Radicals
Operations with Algebraic Expressions
Factoring
Fractions
Linear Equations
Quadratic Equations Mathematical Snapshot
Applications of Equations and Inequalities
Applications of Equations
Linear Inequalities
Applications of Inequalities
Absolute Value
Functions and Graphs
Functions
Special Functions
Combinations of Functions
Inverse Functions
Graphs in Rectangular Coordinates
Symmetry
Translations and Reflection
Lines, Parabolas, and Systems
Lines
Applications and Linear Functions
Quadratic Functions
Systems of Linear Equations
Nonlinear Systems
Applications of Systems of Equations
Exponential and Logarithmic Functions
Exponential Functions
Logarithmic Functions
Properties of Logarithms
Logarithmic and Exponential Equations
Mathematics of Finance
Compound Interest
Present Value
Annuities
Amortization of Loans
Matrix Algebra
Matrices
Matrix Addition and Scalar Multiplication
Matrix Multiplication
Solving Systems by Reducing Matrices
Method of Reduction (continued)
Inverses
Leontief's Input-Output Analysis
Linear Programming
Linear Inequalities in Two Variables
Linear Programming
Multiple Optimum Solutions
The Simplex Method
Degeneracy, Unbounded Solutions, and Multiple Optimum Solutions
Artificial Variables
Minimization
The Dual
Introduction to Probability
Basic Counting Principle and Permutations
Combinations and Other Counting Principles
Sample Spaces and Events
Probability
Conditional Probability and Stochastic Processes
Independent Events
Bayes' Formula
Additional Topics in Probability
Discrete Random Variables
The Binomial Distribution
Markov Chains
Limits and Continuity
Limits
Limits (Continued)
Interest Compounded Continuously
Continuity
Continuity Applied to Inequalities
Differentiation
The Derivative
Rules for Differentiation
The Derivative as a Rate of Change
Differentiability and Continuity
Product and Quotient Rules
The Chain Rule and the Power Rule
Additional Differentiation Topics
Derivatives of Logarithmic Functions
Derivatives of Exponential Functions
Elasticity of Demand
Implicit Differentiation
Logarithmic Differentiation
Newton's Method
Higher Order Derivatives
Curve Sketching
Relative Extrema
Absolute Extrema on a Closed Interval
Concavity
The Second Derivative Test
Asymptotes
Applied Maxima and Minima
Integration
Differentials
The Indefinite Integral
Integration with Initial Conditions
Some Integration Formulas
Techniques of Integration
Summation
The Definite