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Finite Mathematics An Applied Approach [Hardcover]

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  • Category: Books (Mathematics)
  • Author:  Sullivan, Michael
  • Author:  Sullivan, Michael
  • ISBN-10:  0470458275
  • ISBN-10:  0470458275
  • ISBN-13:  9780470458273
  • ISBN-13:  9780470458273
  • Publisher:  Wiley
  • Publisher:  Wiley
  • Pages:  864
  • Pages:  864
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Jun-2011
  • Pub Date:  01-Jun-2011
  • SKU:  0470458275-11-SPLV
  • SKU:  0470458275-11-SPLV
  • Item ID: 100482015
  • List Price: $243.95
  • Seller: ShopSpell
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  • Delivery by: Jul 04 to Jul 06
  • Notes: Brand New Book. Order Now.

Finite Mathematics: An Applied Approach, 11th Edition once again lives up to its reputation as a clearly written, comprehensive finite mathematics book. This Edition 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. 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.

1.1. Lines.

1.2. Pairs of Lines.

1.3. Applications to Business and Economics.

1.4. Scatter Diagrams; Linear Curve Fitting.

Chapter Review.

Chapter Project.

Chapter 2: Systems of Linear Equations.

2.1 Systems of Linear Equations: Substitution; Elimination.

2.2 Systems of Linear Equations: Gauss-Jordan Method.

2.3 Systems of m Linear Equations Containing n Variables.

Chapter Review.

Chapter Project.

Chapter 3: Matrices.

3.1 Matrix Algebra.

3.2 Multiplication of Matrices.

3.3 The Inverse of a Matrix.

3.4 Applications in Economics (the Leontief Model), Accounting, and Statistics (the Method of Least Squares).

Chapter Review.

Chapter Project.

Chapter 4: Linear Programming with Two Variables.