Pde Toolbox Primer For Engineering Applications With Matlab Basics
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PDE Toolbox Primer for Engineering Applications with MATLAB® Basics
Partial differential equations (PDEs) describe technological phenomena and processes used for the analysis, design, and modeling of technical products. Solutions of spatial and transient PDEs are realized by using the PDE Toolbox included in the MATLAB® software. MATLAB® is introduced here as an essential foundation for PDE, and the Modeler of the PDE Toolbox, with appropriate explanatory solutions, is applied to engineering problems in mechanics, heat/mass transfer, tribology, materials science, physics, and biotechnology. The appendixes contain collections of commands and functions used to solve actual engineering problems. FEATURES Includes the PDE Modeler interface with example solutions of two- and three-dimensional PDEs Presents methodologies for all types of PDEs as representative of any engineering problem Describes the ordinate differential equation (ODE) solver for initial value and boundary value problems (IVP and BVP) through practical examples from mechanics and the thermodynamic properties of materials Covers the basics of MATLAB® to solve both ODEs and PDEs Reviews spatially the one-dimensional PDE solver with actual engineering examples PDE Toolbox Primer for Engineering Applications with MATLAB® Basics is aimed at scientists, students, professionals, practitioners, self-taught readers, and researchers who need concise and clear information to study and apply MATLAB® software and the PDE Toolbox in engineering.
ODE, BVP, and 1D PDE Solvers for Scientific and Engineering Problems With MATLAB Basics
In the academic field, engineers, scientists, educators, and students are faced with a persistent challenge: the gap between theoretical knowledge and practical implementation in solving real-world engineering problems. The scarcity of focused resources tailored to mastering MATLAB® and its specialized solvers for Ordinary Differential Equations (ODEs) and One-Dimensional Partial Differential Equations (1D PDEs) has left many individuals struggling to bridge this educational chasm. The disconnect between the theory learned in the classroom and the ability to effectively address engineering challenges in the real world has become a significant hurdle. The definitive solution to the academic conundrum of this lack of a focused resource is the book, ODE, BVP, and 1D PDE Solvers for Scientific and Engineering Problems with MATLAB Basics, which draws on years of teaching experience. This groundbreaking book provides a structured and holistic learning path designed to empower both novice learners and seasoned professionals. It takes readers on a comprehensive journey, commencing with the fundamentals of MATLAB® software and culminating in the mastery of its application in solving ODEs and 1D PDEs for a broad range of engineering problems.
A MATLAB® Primer for Technical Programming for Materials Science and Engineering
Author: Leonid Burstein
language: en
Publisher: Woodhead Publishing
Release Date: 2020-02-06
A MATLAB® Primer for Technical Programming for Materials Science and Engineering draws on examples from the field, providing the latest information on this programming tool that is targeted towards materials science. The book enables non-programmers to master MATLAB® in order to solve problems in materials science, assuming only a modest mathematical background. In addition, the book introduces programming and technical concepts in a logical manner to help students use MATLAB® for subsequent projects. This title offers materials scientists who are non-programming specialists with a coherent and focused introduction to MATLAB®. - Provides the necessary background, alongside examples drawn from the field, to allow materials scientists to effectively master MATLAB® - Guides the reader through programming and technical concepts in a logical and coherent manner - Promotes a thorough working familiarity with MATLAB® for materials scientists - Gives the information needed to write efficient and compact programs to solve problems in materials science, tribology, mechanics of materials and other material-related disciplines