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Introduction to Modeling and Simulation with MATLAB® and Python

Langbeschreibung
The book introduces the principles of mathematical modeling in science, engineering, and social science as well as basic skills of computer programming. The book is aimed at majors in STEM disciplines that need to understand how to create, analyze, and test mathematical models.
Inhaltsverzeichnis
Chapter 1 Introduction to Computational Modeling Chapter 2 Introduction to Programming Environments Chapter 3 Deterministic Linear Models Chapter 4 Array Mathematics in MATLAB (R) and Python Chapter 5 Plotting Chapter 6 Problem Solving Chapter 7 Conditional Statements Chapter 8 Iteration and Loops Chapter 9 Nonlinear and Dynamic Models Chapter 10 Estimating Models from Empirical Data Chapter 11 Stochastic Models Chapter 12 Functions Chapter 13 Verification, Validation, and Errors Chapter 14 Capstone Projects
Dr. Steven I Gordon is a Professor Emeritus at The Ohio State University in the City and Regional Planning and Environmental Science Programs. He also serves as the Senior Education Lead at the Ohio Supercomputer Center. In that and other roles at OSC, he has focused primarily on the integration of computational science into the curricula at higher education institutions in Ohio and throughout the U.S. He has worked with multiple institutions through a variety of grants from the National Science Foundation including the XSEDE and Blue Waters Projects.
ISBN-13:
9781498773881
Veröffentl:
2017
Seiten:
210
Autor:
Steven I. Gordon
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
2 - DRM Adobe
Sprache:
Englisch

61,49 €*

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