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Finite Mathematics: An Applied Approach 11th edition [Kõva köide]

(Chicago State University)
  • Formaat: Hardback, 864 pages, kõrgus x laius x paksus: 257x211x36 mm, kaal: 1656 g
  • Ilmumisaeg: 31-Oct-2014
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 0470458275
  • ISBN-13: 9780470458273
Teised raamatud teemal:
  • Formaat: Hardback, 864 pages, kõrgus x laius x paksus: 257x211x36 mm, kaal: 1656 g
  • Ilmumisaeg: 31-Oct-2014
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 0470458275
  • ISBN-13: 9780470458273
Teised raamatud teemal:
Now in its Eleventh Edition, this text once again lives up to its reputation as a clearly written, comprehensive finite mathematics book. The Eleventh Edition of Finite Mathematics builds upon a solid foundation by integrating new features and techniques that further enhance student interest and involvement. All existing problems have been updated to provide relevance and timeliness. This new edition of Finite Mathematics contains the same elements such as Step-by-Step Examples, Exercise Sets, and Learning Objectives in every chapter. In an engaging and accessible style, this text demonstrates how mathematics applies to various fields of study. The text is packed with real data and real-life applications to business, economics, social and life sciences.
Chapter 1 Linear Equations
1(48)
1.1 Lines
2(20)
1.2 Pairs of Lines
22(8)
1.3 Applications in Business and Economics
30(5)
1.4 Scatter Diagrams; Linear Curve Fitting
35(7)
Chapter Review
42(3)
Chapter Project
45(4)
Chapter 2 Systems of Linear Equations
49(54)
2.1 Systems of Linear Equations: Substitution; Elimination
50(19)
2.2 Systems of Linear Equations: Gaussian Elimination
69(19)
2.3 Systems of m Linear Equations Containing n Variables
88(10)
Chapter Review
98(3)
Chapter Project
101(2)
Chapter 3 Matrices
103(72)
3.1 Matrix Algebra
104(17)
3.2 Multiplication of Matrices
121(14)
3.3 The Inverse of a Matrix
135(17)
3.4 Applications in Economics (the Leontief Model), Accounting, and Statistics (the Method of Least Squares)
152(18)
Chapter Review
170(2)
Chapter Project
172(3)
Chapter 4 Linear Programming with Two Variables
175(42)
4.1 Systems of Linear Inequalities
176(15)
4.2 A Geometric Approach to Linear Programming Problems with Two Variables
191(8)
4.3 Models Utilizing Linear Programming with Two Variables
199(10)
Chapter Review
209(4)
Chapter Project
213(4)
Chapter 5 Linear Programming: Simplex Method
217(76)
5.1 The Simplex Tableau; Pivoting
218(18)
5.2 The Simplex Method: Solving Maximum Problems in Standard Form
236(21)
5.3 Solving Minimum Problems Using the Duality Principle
257(12)
5.4 The Simplex Method for Problems Not in Standard Form
269(15)
Chapter Review
284(5)
Chapter Project
289(4)
Chapter 6 Finance
293(62)
6.1 Interest
294(7)
6.2 Compound Interest
301(15)
6.3 Annuities; Sinking Funds
316(13)
6.4 Present Value of an Annuity; Amortization
329(16)
6.5 Annuities and Amortization Using Recursive Sequences
345(4)
Chapter Review
349(3)
Chapter Project
352(3)
Chapter 7 Probability
355(66)
7.1 Sets
356(9)
7.2 The Number of Elements in a Set
365(8)
7.3 The Multiplication Principle
373(5)
7.4 Sample Spaces and the Assignment of Probabilities
378(13)
7.5 Properties of the Probability of an Event
391(12)
7.6 Expected Value
403(9)
Chapter Review
412(5)
Chapter Project
417(4)
Chapter 8 Additional Probability Topics
421(84)
8.1 Conditional Probability
422(11)
8.2 Independent Events
433(12)
8.3 Bayes' Theorem
445(12)
8.4 Permutations
457(8)
8.5 Combinations
465(15)
8.6 The Binomial Probability Model
480(16)
Chapter Review
496(5)
Chapter Project
501(4)
Chapter 9 Statistics
505(70)
9.1 Introduction to Statistics: Data and Sampling
506(3)
9.2 Representing Qualitative Data Graphically: Bar Graphs; Pie Charts
509(8)
9.3 Organizing and Displaying Quantitative Data
517(15)
9.4 Measures of Central Tendency
532(9)
9.5 Measures of Dispersion
541(12)
9.6 The Normal Distribution
553(12)
Chapter Review
565(7)
Chapter Project
572(3)
Chapter 10 Markov Chains; Games
575(58)
10.1 Markov Chains and Transition Matrices
576(11)
10.2 Regular Markov Chains
587(13)
10.3 Absorbing Markov Chains
600(11)
10.4 Two-Person Games
611(4)
10.5 Mixed Strategies
615(5)
10.6 Optimal Strategy in Two-Person Zero-Sum Games with 2 X 2 Matrices
620(7)
Chapter Review
627(4)
Chapter Project
631(2)
Chapter 11 Logic
633
11.1 Propositions
634(5)
11.2 Truth Tables
639(9)
11.3 Implications; The Biconditional Connective; Tautologies
648(7)
11.4 Arguments
655(6)
11.5 Logic Circuits
661(4)
Chapter Review
665(3)
Chapter Project
668
APPENDIX A REVIEW
1(1)
A.1 Real Numbers
1(15)
A.2 Algebra Essentials
16(12)
A.3 Exponents and Logarithms
28(6)
A.4 Recursively Defined Sequences: Geometric Sequences
34(8)
A.5 The Binomial Theorem
42
APPENDIX B USING LINDO TO SOLVE LINEAR PROGRAMMING PROBLEMS
1(1)
APPENDIX C GRAPHING UTILITIES
1(1)
C.1 The Viewing Rectangle
1(2)
C.2 Using a Graphing Utility to Graph Equations
3(3)
C.3 Square Screens
6(1)
C.4 Using a Graphing Utility to Graph Inequalities
7
Answers to Odd-Numbered Problems 1(1)
Photo Credits 1(1)
Subject Index 1
Michael Sullivan is Professor Emeritus in the Department of Mathematics and Computer Science at Chicago State University where he taught for 35 years before retiring a few years ago. Dr. Sullivan is a member of American Mathematical Society, the Mathematical Association of America, and the American Mathematical Association of Two Year Colleges. He is President of Text and Academic Authors Association and represents that organization on the Authors Coalition of America, Mike has been writing textbooks in mathematics for over 30 years. He currently has 13 books in print: 3 texts with John Wiley & Sons and 10 with Prentice-Hall. Six of these titles are co-authored with his son, Michael Sullivan III. He has four children: Kathleen, who teaches college mathematics; Michael, who teaches college mathematics, Dan who is a Prentice-Hall sales representative, and Colleen, who teaches middle school mathematics. Nine grandchildren round out the family.