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Mechanics and Dynamical Systems with Mathematica(r) (Softcover Reprint of the Original 1st 2000)

Mechanics and Dynamical Systems with Mathematica®

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"Mechanics and Dynamical Systems with Mathematica®" by Nicola Bellomo, Luigi Preziosi, Antonio Romano is a mathematics book and learning resource focused on Dynamics. Best for teachers, students, and readers looking for stronger mathematical understanding.

Modeling and Applied Mathematics Modeling the behavior of real physical systems by suitable evolution equa tions is a relevant, maybe the fundamental, aspect of the interactions be tween mathematics and applied sciences. Modeling is, however, only the first step toward the mathematical description and simulation of systems belonging to real world. Indeed, once the evolution equation is proposed, one has to deal with mathematical problems and develop suitable simula tions to provide the description of the real system according to the model. Within this framework, one has an evolution equation and the re lated mathematical problems obtained by adding all necessary conditions for their solution. Then, a qualitative analysis should be developed: this means proof of existence of solutions and analysis of their qualitative be havior. Asymptotic analysis may include a detailed description of stability properties. Quantitative analysis, based upon the application ofsuitable methods and algorithms for the solution of problems, ends up with the simulation that is the representation of the dependent variable versus the independent one. The information obtained by the model has to be compared with those deriving from the experimental observation of the real system. This comparison may finally lead to the validation of the model followed by its application and, maybe, further generalization.

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Best For: Students and professionals in physics and applied mathematics focusing on mechanical systems.
Focus: Modeling and mathematical description of physical systems using evolution equations and simulation techniques.
Covers: The formulation of evolution equations for real physical systems and the subsequent mathematical analysis and simulation.
Why It Matters: Provides a foundation for understanding and simulating the behavior of mechanical and dynamical systems through applied mathematics.

"Mechanics and Dynamical Systems with Mathematica®" by Nicola Bellomo, Luigi Preziosi, Antonio Romano is a mathematics book and learning resource focused on Dynamics. Best for teachers, students, and readers looking for stronger mathematical understanding.

Topic: Dynamics

Author: Nicola Bellomo, Luigi Preziosi, Antonio Romano

Who this is for:

  • Teachers and classroom instructors
  • Students building subject mastery
  • Readers looking for practical learning support

Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.

Modeling and Applied Mathematics Modeling the behavior of real physical systems by suitable evolution equa tions is a relevant, maybe the fundamental, aspect of the interactions be tween mathematics and applied sciences. Modeling is, however, only the first step toward the mathematical description and simulation of systems belonging to real world. Indeed, once the evolution equation is proposed, one has to deal with mathematical problems and develop suitable simula tions to provide the description of the real system according to the model. Within this framework, one has an evolution equation and the re lated mathematical problems obtained by adding all necessary conditions for their solution. Then, a qualitative analysis should be developed: this means proof of existence of solutions and analysis of their qualitative be havior. Asymptotic analysis may include a detailed description of stability properties. Quantitative analysis, based upon the application ofsuitable methods and algorithms for the solution of problems, ends up with the simulation that is the representation of the dependent variable versus the independent one. The information obtained by the model has to be compared with those deriving from the experimental observation of the real system. This comparison may finally lead to the validation of the model followed by its application and, maybe, further generalization.

AuthorNicola Bellomo, Luigi Preziosi, Antonio Romano
PublisherBirkhäuser
Published2012-10-14
ISBN-139781461271017
BindingPaperback
Pages417
LanguageEnglish
SubjectsMathematics
TopicDynamics
SeriesModeling and Simulation in Science, Engineering and Technolo

Format: Paperback

Length: 417 pages

Language: English

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