Mathematical modeling
Meerschaert's new edition strengthens his position as the survey text of choice for mathematical modeling courses, adding ample instructor support and leveraging on-line delivery for solutions manuals and software ancillaries. From genetic engineering to hurricane prediction, mathematical model...
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| Format: | eBook |
| Language: | English |
| Published: |
Waltham, MA
Academic Press/Elsevier
2013, 2013
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| Edition: | Fourth edition |
| Subjects: | |
| Online Access: | |
| Collection: | Elsevier ScienceDirect eBooks - Collection details see MPG.ReNa |
Table of Contents:
- I.OPTIMIZATION MODELS
- 1.One Variable Optimization
- 1.1.The five-step Method
- 1.2.Sensitivity Analysis
- 1.3.Sensitivity and Robustness
- 1.4.Exercises
- 2.Multivariable Optimization
- 2.1.Unconstrained Optimization
- 2.2.Lagrange Multipliers
- 2.3.Sensitivity Analysis and Shadow Prices
- 2.4.Exercises
- 3.Computational Methods For Optimization
- 3.1.One Variable Optimization
- 3.2.Multivariable Optimization
- 3.3.Linear Programming
- 3.4.Discrete Optimization
- 3.5.Exercises
- II.DYNAMIC MODELS
- 4.Introduction To Dynamic Models
- 4.1.Steady State Analysis
- 4.2.Dynamical Systems
- 4.3.Discrete Time Dynamical Systems
- 4.4.Exercises
- 5.Analysis Of Dynamic Models
- 5.1.Eigenvalue Methods
- 5.2.Eigenvalue Methods for Discrete Systems
- 5.3.Phase Portraits
- 5.4.Exercises
- 6.Simulation Of Dynamic Models
- 6.1.Introduction to Simulation
- 6.2.Continuous-Time Models
- 6.3.The Euler Method
- 6.4.Chaos and Fractals
- 6
- Includes bibliographical references and index