Mathematics with Applications
United States Edition
9th Edition
Published on 27. April 2006
Book
Hardback
1008 pages
978-0-321-33433-6 (ISBN)
Description
This edition of Mathematics with Applications continues to be an excellent learning tool for applied mathematics students. As always, the text includes the popular margin exercises as well as comprehensive review of algebraic topics, but with this revision comes the fresh insight of a new co-author. Also, at our customers' request, this textbook has additional calculus content, allowing the book to be all that you need and more.
More details
Edition
9th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 261 mm
Width: 211 mm
Thickness: 37 mm
Weight
1954 gr
ISBN-13
978-0-321-33433-6 (9780321334336)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Margaret L. Lial | Thomas W. Hungerford | John P. Holcomb
Mathematics with Applications
Book
01/2010
10th Edition
Pearson
€163.40
Article exhausted; check for reprint
Persons
Marge Lial has always been interested in math; it was her favorite subject in the first grade! Marge's intense desire to educate both her students and herself has inspired the writing of numerous best-selling textbooks. Marge, who received Bachelor's and Master's degrees from California State University at Sacramento, is now affiliated with American River College.
Marge is an avid reader and traveler. Her travel experiences often find their way into her books as applications, exercise sets, and feature sets. She is particularly interested in archeology. Trips to various digs and ruin sites have produced some fascinating problems for her textbooks involving such topics as the building of Mayan pyramids and the acoustics of ancient ball courts in the Yucatan.
Thomas W. Hungerford received his bachelor's degree from Holy Cross and his Ph.D. from the University of Chicago. He taught for many years at the
University of Washington (Seattle) before moving to Cleveland State University in 1980. He has been at Saint Louis University since 2003. He has written a number of research articles in algebra and several in mathematics education. Dr. Hungerford is the author or coauthor of more than a dozen mathematics textbooks, ranging from high school to graduate level, several of which are published by Addison-Wesley. He is active in promoting the effective use of technology in mathematics instruction. Dr. Hungerford has also been a referee and reviewer for various mathematical journals and has served on National Science Foundation panels for selecting grant recipients.
John P. Holcomb, Jr. received his bachelor's degree from St. Bonaventure University and his Ph.D. from the University at Albany, State University of New York. He taught for five years at Youngstown State University prior to arriving at Cleveland State University in Fall 2000. He is an associate professor and frequently collaborates with researchers in a variety of disciplines where he provides statistical analysis. Dr. Holcomb has also authored several papers in statistical education and is very active in the American Statistical Association and the Mathematical Association of America. He was named a Carnegie Scholar in 2000 by the Carnegie Foundation for the Advancement of Teaching and Learning and in 2003 received the Waller Award from the American Statistical Association for outstanding teaching of introductory statistics.
Marge is an avid reader and traveler. Her travel experiences often find their way into her books as applications, exercise sets, and feature sets. She is particularly interested in archeology. Trips to various digs and ruin sites have produced some fascinating problems for her textbooks involving such topics as the building of Mayan pyramids and the acoustics of ancient ball courts in the Yucatan.
Thomas W. Hungerford received his bachelor's degree from Holy Cross and his Ph.D. from the University of Chicago. He taught for many years at the
University of Washington (Seattle) before moving to Cleveland State University in 1980. He has been at Saint Louis University since 2003. He has written a number of research articles in algebra and several in mathematics education. Dr. Hungerford is the author or coauthor of more than a dozen mathematics textbooks, ranging from high school to graduate level, several of which are published by Addison-Wesley. He is active in promoting the effective use of technology in mathematics instruction. Dr. Hungerford has also been a referee and reviewer for various mathematical journals and has served on National Science Foundation panels for selecting grant recipients.
John P. Holcomb, Jr. received his bachelor's degree from St. Bonaventure University and his Ph.D. from the University at Albany, State University of New York. He taught for five years at Youngstown State University prior to arriving at Cleveland State University in Fall 2000. He is an associate professor and frequently collaborates with researchers in a variety of disciplines where he provides statistical analysis. Dr. Holcomb has also authored several papers in statistical education and is very active in the American Statistical Association and the Mathematical Association of America. He was named a Carnegie Scholar in 2000 by the Carnegie Foundation for the Advancement of Teaching and Learning and in 2003 received the Waller Award from the American Statistical Association for outstanding teaching of introductory statistics.
Content
Chapter 1 Algebra and Equations
1.1 The Real Numbers
1.2 Polynomials
1.3 Factoring
1.4 Rational Expressions
1.5 Exponents and Radicals
1.6 First-Degree Equations
1.7 Quadratic Equations
Case 1: Consumers Often Defy Common Sense
Chapter 2 Graphs, Lines, and Inequalities
2.1 Graphs
2.2 Equations of Lines
2.3 Linear Models
2.4 Linear Inequalities
2.5 Polynomial and Rational Inequalities
Case 2: Using Extrapolation to Predict Life Expectancy
Chapter 3 Functions and Graphs
3.1 Functions
3.2 Graphs of Functions
3.3 Applications of Linear Functions
3.4 Quadratic Functions
3.5 Applications of Quadratic Functions
3.6 Polynomial Functions
3.7 Rational Functions
Case 3: Architectural Arches
Chapter 4 Exponential and Logarithmic Functions
4.1 Exponential Functions
4.2 Applications of Exponential Functions
4.3 Logarithmic Functions
4.4 Logarithmic and Exponential Equations
Case 4: Characteristics of the Monkeyface Prickleback
Chapter 5 Mathematics of Finance
5.1 Simple Interest and Discount
5.2 Compound Interest
5.3 Future Value of an Annuity and Sinking Funds
5.4 Present Value of an Annuity and Amortization
Case 5: Time, Money, and Polynomials
Chapter 6 Systems of Linear Equations and Matrices
6.1 Systems of Linear Equations
6.2 The Gauss-Jordan Method
6.3 Basic Matrix Operations
6.4 Matrix Products and Inverses
6.5 Applications of Matrices
Case 6: Matrix Operations and Airline Route Maps
Chapter 7 Linear Programming
7.1 Graphing Linear Inequalities in Two Variables
7.2 Linear Programming: The Graphical Method
7.3 Applications of Linear Programming
7.4 The Simplex Method: Maximization
7.5 Maximization Applications
7.6 The Simplex Method: Duality and Minimization
7.7 The Simplex Method: Nonstandard Problems
Case 7: Cooking with Linear Programming
Chapter 8 Sets and Probability
8.1 Sets
8.2 Applications of Venn Diagrams
8.3 Introduction to Probability
8.4 Basic Concepts of Probability
8.5 Conditional Probability and Independent Events
8.6 Bayes' Formula
Case 8: Medical Diagnosis
Chapter 9 Counting, Probability Distributions, and Further Topics in Probability
9.1 Probability Distributions and Expected Value
9.2 The Multiplication Principle, Permutations, and Combinations
9.3 Applications of Counting
9.4 Binomial Probability
9.5 Markov Chains
9.6 Decision Making
Case 9: Optimal Inventory for a Service Truck
Chapter 10 Introduction to Statistics
10.1 Frequency Distributions and Measures of Central Tendency
10.2 Measures of Variation
10.3 Normal Distributions
10.4 Normal Approximation to the Binomial Distribution
Case 10: Statistics in the Law-The Castaneda Decision
Chapter 11 Differential Calculus
11.1 Limits
11.2 One-sided Limits and Limits Involving Infinity
11.3 Rates of Change
11.4 Tangent Lines and Derivatives
11.5 Techniques for Finding Derivatives
11.6 Derivatives of Products and Quotients
11.7 The Chain Rule
11.8 Derivatives of Exponential and Logarithmic Functions
11.9 Continuity and Differentiability
Case 11: Price Elasticity of Demand
Chapter 12 Applications of the Derivative
12.1 Derivatives and Graphs
12.2 The Second Derivative
12.3 Optimization Applications
12.4 Curve Sketching
Case 12: A Total Cost Model for a Training Program
Chapter 13 Integral Calculus
13.1 Antiderivatives
13.2 Integration by Substitution
13.3 Area and the Definite Integral
13.4 The Fundamental Theorem of Calculus
13.5 Applications of Integrals
13.6 Tables of Integrals (Optional)
13.7 Differential Equations
Case 13: Bounded Population Growth
Chapter 14 Multivariate Calculus
14.1 Functions of Several Variables
14.2 Partial Derivatives
14.3 Extrema of Functions of Several Variables
Case 14: Global Warming and the Method of Least Squares
1.1 The Real Numbers
1.2 Polynomials
1.3 Factoring
1.4 Rational Expressions
1.5 Exponents and Radicals
1.6 First-Degree Equations
1.7 Quadratic Equations
Case 1: Consumers Often Defy Common Sense
Chapter 2 Graphs, Lines, and Inequalities
2.1 Graphs
2.2 Equations of Lines
2.3 Linear Models
2.4 Linear Inequalities
2.5 Polynomial and Rational Inequalities
Case 2: Using Extrapolation to Predict Life Expectancy
Chapter 3 Functions and Graphs
3.1 Functions
3.2 Graphs of Functions
3.3 Applications of Linear Functions
3.4 Quadratic Functions
3.5 Applications of Quadratic Functions
3.6 Polynomial Functions
3.7 Rational Functions
Case 3: Architectural Arches
Chapter 4 Exponential and Logarithmic Functions
4.1 Exponential Functions
4.2 Applications of Exponential Functions
4.3 Logarithmic Functions
4.4 Logarithmic and Exponential Equations
Case 4: Characteristics of the Monkeyface Prickleback
Chapter 5 Mathematics of Finance
5.1 Simple Interest and Discount
5.2 Compound Interest
5.3 Future Value of an Annuity and Sinking Funds
5.4 Present Value of an Annuity and Amortization
Case 5: Time, Money, and Polynomials
Chapter 6 Systems of Linear Equations and Matrices
6.1 Systems of Linear Equations
6.2 The Gauss-Jordan Method
6.3 Basic Matrix Operations
6.4 Matrix Products and Inverses
6.5 Applications of Matrices
Case 6: Matrix Operations and Airline Route Maps
Chapter 7 Linear Programming
7.1 Graphing Linear Inequalities in Two Variables
7.2 Linear Programming: The Graphical Method
7.3 Applications of Linear Programming
7.4 The Simplex Method: Maximization
7.5 Maximization Applications
7.6 The Simplex Method: Duality and Minimization
7.7 The Simplex Method: Nonstandard Problems
Case 7: Cooking with Linear Programming
Chapter 8 Sets and Probability
8.1 Sets
8.2 Applications of Venn Diagrams
8.3 Introduction to Probability
8.4 Basic Concepts of Probability
8.5 Conditional Probability and Independent Events
8.6 Bayes' Formula
Case 8: Medical Diagnosis
Chapter 9 Counting, Probability Distributions, and Further Topics in Probability
9.1 Probability Distributions and Expected Value
9.2 The Multiplication Principle, Permutations, and Combinations
9.3 Applications of Counting
9.4 Binomial Probability
9.5 Markov Chains
9.6 Decision Making
Case 9: Optimal Inventory for a Service Truck
Chapter 10 Introduction to Statistics
10.1 Frequency Distributions and Measures of Central Tendency
10.2 Measures of Variation
10.3 Normal Distributions
10.4 Normal Approximation to the Binomial Distribution
Case 10: Statistics in the Law-The Castaneda Decision
Chapter 11 Differential Calculus
11.1 Limits
11.2 One-sided Limits and Limits Involving Infinity
11.3 Rates of Change
11.4 Tangent Lines and Derivatives
11.5 Techniques for Finding Derivatives
11.6 Derivatives of Products and Quotients
11.7 The Chain Rule
11.8 Derivatives of Exponential and Logarithmic Functions
11.9 Continuity and Differentiability
Case 11: Price Elasticity of Demand
Chapter 12 Applications of the Derivative
12.1 Derivatives and Graphs
12.2 The Second Derivative
12.3 Optimization Applications
12.4 Curve Sketching
Case 12: A Total Cost Model for a Training Program
Chapter 13 Integral Calculus
13.1 Antiderivatives
13.2 Integration by Substitution
13.3 Area and the Definite Integral
13.4 The Fundamental Theorem of Calculus
13.5 Applications of Integrals
13.6 Tables of Integrals (Optional)
13.7 Differential Equations
Case 13: Bounded Population Growth
Chapter 14 Multivariate Calculus
14.1 Functions of Several Variables
14.2 Partial Derivatives
14.3 Extrema of Functions of Several Variables
Case 14: Global Warming and the Method of Least Squares