University of Kabianga
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Mathematical modeling with Maple / William P. Fox, Naval Postgraduate School.

By: Material type: TextTextPublisher: Boston, MA, USA : Brooks/Cole Cengage Learning, [2012]Copyright date: ©2012Description: xiv, 578 pages : illustrations ; 27 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781111576516
  • 1111576513
Subject(s): Genre/Form: DDC classification:
  • 511/.8 23
LOC classification:
  • QA76.95 .F695 2012
Online resources:
Contents:
Introduction to Maple -- Introduction, overview, and the process of mathematical modeling -- Discrete dynamical models -- Model fitting -- Modeling with proportionality and geometric similarity -- Empirical model construction -- Modeling with linear programming -- Modeling with single-variable unconstrained optimization -- Models using unconstrained optimization: maximization and minimization with several variables -- Modeling optimization with constraints -- Modeling with linear systems of equations using linear algebra techniques -- Modeling first-order ordinary differential equations (ODEs) -- Modeling with systems of differential equations -- Classical probability and discrete probability modeling -- Continuous probability models -- Simulation modeling -- Modeling with game theory -- Answers to selected problems.
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Holdings
Item type Current library Call number Status Barcode
General Collection Main Campus Library General Stacks QA76.95 .F695 2012 (Browse shelf(Opens below)) Available 00024861
General Collection Main Campus Library General Stacks QA76.95 .F695 2012 (Browse shelf(Opens below)) Available 00023014

Includes bibliographical references and index.

Introduction to Maple -- Introduction, overview, and the process of mathematical modeling -- Discrete dynamical models -- Model fitting -- Modeling with proportionality and geometric similarity -- Empirical model construction -- Modeling with linear programming -- Modeling with single-variable unconstrained optimization -- Models using unconstrained optimization: maximization and minimization with several variables -- Modeling optimization with constraints -- Modeling with linear systems of equations using linear algebra techniques -- Modeling first-order ordinary differential equations (ODEs) -- Modeling with systems of differential equations -- Classical probability and discrete probability modeling -- Continuous probability models -- Simulation modeling -- Modeling with game theory -- Answers to selected problems.

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