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Finite Mathematics Models and Applications.

Detalles Bibliográficos
Autor principal: Morris, Carla C.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2015.
Colección:New York Academy of Sciences Ser.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1.7 Unit Conversions and Dimensional Analysis
  • Historical Notes and Comments
  • Chapter 2: Mathematics of Finance
  • 2.1 Simple and Compound Interest
  • 2.2 Ordinary Annuity
  • 2.3 Amortization
  • 2.4 Arithmetic and Geometric Sequences
  • Historical Notes
  • Chapter 3: Matrix Algebra
  • 3.1 Matrices
  • 3.2 Matrix Notation, Arithmetic, and Augmented Matrices
  • 3.3 Gauss-Jordan Elimination
  • 3.4 Matrix Inversion and Input-Output Analysis
  • Historical Notes
  • Chapter 4: Linear Programming
  • Geometric Solutions
  • Introduction
  • 4.1 Graphing Linear Inequalities
  • 4.2 Graphing Systems of Linear Inequalities
  • 4.3 Geometric Solutions to Linear Programs
  • Historical Notes
  • Chapter 5: Linear Programming
  • Simplex Method
  • 5.1 The Standard Maximization Problem (SMP)
  • 5.2 Tableaus and Pivot Operations
  • 5.3 Optimal Solutions and The Simplex Method
  • 5.4 Dual Programs
  • 5.5 Non-SMP Linear Programs
  • Historical Notes
  • Chapter 6: Linear Programming
  • Application Models
  • Product Mix and Feed Mix Problems
  • Fluid Blending Problem
  • Assignment Problems
  • Transportation Problem
  • The Knapsack Problem
  • The Trim Problem
  • A Caterer Problem
  • Another Planning Horizon
  • Historical Notes
  • Chapter 7: Set and Probability Relationships
  • 7.1 Sets
  • 7.2 Venn Diagrams
  • 7.3 Tree Diagrams
  • 7.4 Combinatorics
  • 7.5 Mathematical Probability
  • 7.6 Bayes' Rule and Decision Trees
  • Historical Notes
  • Further Reading
  • Chapter 8: Random Variables and Probability Distributions
  • 8.1 Random Variables
  • 8.2 Bernoulli Trials and the Binomial Distribution
  • 8.3 The Hypergeometric Distribution
  • 8.4 The Poisson Distribution
  • Historical Notes
  • Chapter 9: Markov Chains
  • 9.1 Transition Matrices and Diagrams
  • 9.2 Transitions
  • 9.3 Regular Markov Chains
  • 9.4 Absorbing Markov Chains
  • Historical Notes
  • Chapter 10: Mathematical Statistics
  • 10.1 Graphical Descriptions of Data
  • 10.2 Measures of Central Tendency and Dispersion
  • 10.3 The Uniform Distribution
  • 10.4 The Normal Distribution
  • 10.5 Normal Distribution Applications
  • 10.6 Developing and Conducting a Survey
  • Historical Notes
  • Chapter 11: Enrichment in Finite Mathematics
  • 11.1 Game Theory
  • Historical Notes
  • 11.2 Applications in Finance and Economics
  • 11.3 Applications in Social and Life Sciences
  • 11.4 Monte Carlo Method