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Introduction to Modeling and Simulation with MATLAB® and Python

Título: Introduction to Modeling and Simulation with MATLAB® and Python

Autor: Steven I. Gordon, Brian Guilfoos

Sinopse: Introduction to Modeling and Simulation with MATLAB and Python is intended for students and professionals in science, social science, and engineering that wish to learn the principles of computer modeling, as well as basic programming skills. The book content focuses on meeting a set of basic modeling and simulation competencies that were developed as part of several National Science Foundation grants. Even though computer science students are much more expert programmers, they are not often given the opportunity to see how those skills are being applied to solve complex science and engineering problems and may also not be aware of the libraries used by scientists to create those models. The book interleaves chapters on modeling concepts and related exercises with programming concepts and exercises. The authors start with an introduction to modeling and its importance to current practices in the sciences and engineering. They introduce each of the programming environments and the syntax used to represent variables and compute mathematical equations and functions. As students gain more programming expertise, the authors return to modeling concepts, providing starting code for a variety of exercises where students add additional code to solve the problem and provide an analysis of the outcomes. In this way, the book builds both modeling and programming expertise with a "just-in-time" approach so that by the end of the book, students can take on relatively simple modeling example on their own. Each chapter is supplemented with references to additional reading, tutorials, and exercises that guide students to additional help and allows them to practice both their programming and analytical modeling skills. In addition, each of the programming related chapters is divided into two parts - one for MATLAB and one for Python. In these chapters, the authors also refer to additional online tutorials that students can use if they are having difficulty with any of the topics. The book culminates with a set of final project exercise suggestions that incorporate both the modeling and programming skills provided in the rest of the volume. Those projects could be undertaken by individuals or small groups of students. The companion website at http://www.intromodeling.com provides updates to instructions when there are substantial changes in software versions, as well as electronic copies of exercises and the related code. The website also offers a space where people can suggest additional projects they are willing to share as well as comments on the existing projects and exercises throughout the book. Solutions and lecture notes will also be available for qualifying instructors.

Contexto da obra

Quando a classificação é mais ampla, o contexto do livro costuma depender ainda mais de autoria, tema e edição. “Introduction to Modeling and Simulation with MATLAB® and Python”, de Steven I. Gordon, Brian Guilfoos, publicado pela editora Chapman and Hall/CRC, em 2017 e com 210 páginas, integra a categoria Livros Variados. Por isso, autoria, edição e tema acabam tendo ainda mais peso na forma de apresentar o livro.

Editora: Chapman and Hall/CRC

Páginas: 210

Ano: 2017

Edição: 1

Linguagem: pt_BR

ISBN: 9781498773874

ISBN13: 9781498773874

    Sobre a editora

    Os livros da editora Chapman and Hall/CRC oferecem uma experiência de leitura focada em áreas técnicas e científicas, especialmente em estatística aplicada, programação para análise de dados e modelagem matemática. O catálogo privilegia obras que combinam rigor teórico com exemplos práticos, frequentemente envolvendo softwares como R, SAS, MATLAB e Python. A linguagem tende a ser didática e detalhada, adequada para leitores acadêmicos, pesquisadores e profissionais que buscam aprofundamento em temas como análise estatística, bioinformática, modelagem computacional e programação científica. Há títulos que exploram desde fundamentos conceituais até aplicações avançadas, com um equilíbrio entre explicações teóricas e exercícios práticos, o que sugere um público com interesse em aprendizado progressivo e aplicado.

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