Finite Mathematics Models and Applications.
Autor principal: | |
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Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Newark :
John Wiley & Sons, Incorporated,
2015.
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Colección: | New York Academy of Sciences Ser.
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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