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Mathematical modeling / Mark M. Meerschaert
Books/Textual Material | Academic Press | c1993.
Available at Gumberg 2nd Floor (QA401 .M48 1993)
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Gumberg 2nd Floor QA401 .M48 1993 AVAILABLE
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Imprint
Boston : Academic Press, c1993.
Descript
xiv, 287 p. : ill. ; 24 cm.
Bibliog.
Includes bibliographical references and index.
Contents
Pt. I. Optimization Models. 1. One-Variable Optimization. 1.1. The Five-Step Method. 1.2. Sensitivity Analysis. 1.3. Sensitivity and Robustness. 2. Multivariable Optimization. 2.1. Unconstrained Optimization. 2.2. Lagrange Multipliers. 2.3. Sensitivity Analysis and Shadow Prices. 3. Computational Methods for Optimization. 3.1. One-Variable Optimization. 3.2. Multivariable Optimization. 3.3. Linear Programming -- Pt. II. Dynamic Models. 4. Introduction to Dynamic Models. 4.1. Steady-State Analysis. 4.2. Dynamical Systems. 4.3. Discrete-Time Dynamical Systems. 5. Analysis of Dynamic Models. 5.1. Eigenvalue Methods. 5.2. Eigenvalue Methods for Discrete Systems. 5.3. Phase Portraits. 6. Simulation of Dynamic Models. 6.1. Introduction to Simulation. 6.2. Continuous-Time Models.
6.3. The Euler Method -- Pt. III. Probability Models. 7. Introduction to Probability Models. 7.1. Discrete Probability Models. 7.2. Continuous Probability Models. 8. Stochastic Models. 8.1. Markov Chains. 8.2. Markov Processes. 8.3. Linear Regression. 9. Simulation of Probability Models. 9.1. Monte Carlo Simulation. 9.2. The Markov Property. 9.3. Analytic Simulation.
Subject
ISBN
0124876501 (acid-free paper)
MARC
OCoLC
19990331130753.5
921020s1993 maua b 001 0 eng cam a
DLC DLC UKM DUQ WaOLN
DUQQ
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