Download or read book Introducci n al modelado matem tico con MatLab written by de Armas Costa, Ricardo Joaquín and published by Universidad de la Salle. This book was released on 2017-07-17 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducción al Matlab es producto del trabajo de aula y la constante reflexión en tono a los procesos de enseñanza-aprendizaje en el área de matemáticas, realizada por los autores. El objetivo de esta obra es orientar a los profesores de matemáticas en procesos didácticos para la construcción de conceptos básicos del cálculo, desde el tránsito de distintos registros de representación. Se ofrace a los estudiantes una metodología para potenciar las habilidades de modelado matemático que contribuyan al aprendizaje de tipo estratégico como fundamento del trabajo científico. Las actividades de modelación que se relacionan en el libro se han planteado de formar gradual (desde lo visual, lo numérico y lo algebraico), entendiendo que muchos de los conceptos matemáticos tienen diferentes niveles de abstracción. Por ello, este libro matemático se ha orientado a complementar complementar el trabajo presencial o a guiar el trabajo independiente de estudiantes de los primeros cursos de cálculo universitario, en el sentido de iniciarlos en los procesos de modelado desde una visión educativa. El material propuesto también sirve como base para el desarrollo de cursos libres o electivos, alusivos a procesos de modelación, con estudiantes de los primeros semestres de universidad. Para el manejo de los recursos tecnológicos se usa el Software Matlab, dada su importancia en la academia, la investigación y la industria.

Download or read book Introducci n al modelamiento y simulaci n en Ingenier a Qu mica written by Nicolás Ríos Ratkovich and published by Universidad de los Andes. This book was released on 2020-05-01 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Esta obra introduce al lector en las bases de la teoría matemática y en los distintos métodos computacionales de modelamiento y simulación en Ingeniería, los cuales incluyen ejemplos para ayudar a entender la implementación de los diversos métodos de solución. El libro aborda el manejo de matlab®, software de preferencia por su practicidad y facilidad para la resolución de problemas; allí se presentan los principales conceptos, así como la apariencia de la consola, la creación de variables, la realización de operaciones básicas y el diseño de scripts y funciones. Luego, se hace una aproximación a la resolución de problemas matemáticos de carácter no lineal, lineal, diferencial, de diferencias parciales y ecuaciones algebro-diferenciales, así como también se aborda el método mesh para modelamiento matemático de torres de destilación. Es importante resaltar que para la comprensión del texto se debe contar con conocimientos en cálculo, ecuaciones diferenciales, equilibrio de fases, mecánica hidráulica, ingeniería de reacciones, fenómenos de transporte y separación de fases. La obra es fundamental para quienes se estén formando en Ingeniería Química, tanto para la adquisición de conocimientos en el área del modelamiento y simulación, como para aumentar el nivel de habilidades blandas.

Download or read book Introducci n r pida a MatLab y Simulink para ciencia e ingenier a written by Gil Rodríguez, Manuel and published by Ediciones Díaz de Santos. This book was released on 2003-01-01 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: MatLab es el principal estándar de Cálculo, de uso generalizado en todas lasramas de la Ciencia y la Ingeniería, utilizado en todas las universidadesdel mundo. Este manual incluye lo esencial de MatLab y Simulink, que ya nocambian con las versiones que van saliendo. El desarrollo del contenido deeste libro se realiza mediante una transición progresiva, para que personasde diferentes titulaciones puedan seguirlo y comprenderlo en un tiemporelativamente corto. En el mercado actual de libros sobre MatLab faltaba unmanual sencillo de iniciación y eminentemente práctico, a la vez queprogresivo y con profundidad, para alcanzar y tratar con problemas deCálculo avanzado, habituales en la ciencia y la ingeniería

Download or read book Matlab una introducci n con ejemplos pr cticos written by Amos Gilat and published by Reverte. This book was released on 2021-04-01 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Este libro ofrece una guía práctica para el estudiante, profesor, científico, ingeniero o, simplemente, cualquier lector interesado en el software MATLAB que quiera adentrarse paulatinamente en el manejo y comprensión de la nueva versión 7 de este programa científico. Comenzando con un repaso de los aspectos más básicos, el libro cubre gran parte de lo que un usuario de MATLAB necesita para aplicarlo de forma efectiva en cualquier campo de las ciencias: desde operaciones aritméticas simples con escalares, hasta la creación y uso de arrays, gráficos en dos y tres dimensiones, curvas de ajuste e interpolación, programación, aplicaciones en el cálculo numérico, etc.

Download or read book Introducci n al Machine Learning con MATLAB written by Erik Cuevas Jiménez and published by Marcombo. This book was released on 2021-07-05 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: El Machine Learning representa una herramienta importante para la exploración y la extracción de conocimiento. Su principal objetivo es construir modelos que permitan describir posibles patrones estructurales en la información a partir de los datos, con el objetivo de tomar decisiones o hacer predicciones. En la última década, el número de usuarios de Machine Learning ha crecido de forma espectacular, pero muchos han presentado grandes dificultades a la hora de generar un plan adecuado que les permita pasar de los conceptos fundamentales a la solución de problemas en sus áreas de interés. El objetivo de este libro es brindar una visión particular de los principales métodos de Machine Learning y de su implementación, es decir, proveer de los principales conceptos en los que se basan estos métodos y aplicarlos a problemas típicos del procesamiento de datos. El libro se fundamenta en MATLAB, el cual es considerado hoy en día como un estándar en la programación científica e industrial. MATLAB contiene, dentro de sus funciones, poderosos métodos numéricos que pueden ser adaptados a aplicaciones particulares. Bajo estas condiciones, el usuario puede estar más concentrado en la estructura de su aplicación que en la programación misma. Asimismo, el libro es el resultado de un desmantelamiento completo del plan de estudios estándar del Machine Learning en sus componentes más fundamentales, así como de un reensamblaje de esas piezas, cuidadosamente pulidas y organizadas. Contiene descripciones intuitivas y, a su vez, rigurosas de los conceptos imprescindibles para analizar información a partir de datos. Todo esto deviene en una lectura que le permitirá: -Entender los principales conceptos en los que se basa el Machine Learning. -Implementar los métodos de Machine Learning. -Usar los diferentes recursos online que incluyen código fuente y bases de datos. -Comprender las principales técnicas de programación con MATLAB orientadas a la implementación de aplicaciones de Machine Learning. Sin importar si tiene poca o mucha experiencia en programación, con este libro obtendrá las habilidades teóricas y prácticas para emplear el Machine Learning en su totalidad. Hágase con su ejemplar y descubra los detalles estructurales de la información de sus propios proyectos para predecir y manipular con precisión su comportamiento futuro.

Download or read book Introduction to Modeling and Simulation with MATLAB and Python written by Steven I. Gordon and published by CRC Press. This book was released on 2017-07-12 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Pr cticas de m todos matem ticos para la ingenier a I written by Fernando Giménez and published by . This book was released on 1998 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book C lculo Cient fico con MATLAB y Octave written by A. Quarteroni and published by Springer. This book was released on 2006-09-18 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Este libro de texto es una introducción al Cálculo Científico, que ilustra varios métodos numéricos para la solución con computador de ciertas clases de problemas matemáticos. Los autores muestran cómo calcular los ceros o las integrales de funciones continuas, resolver sistemas lineales, aproximar funciones por polinomios y construir aproximaciones precisas para la solución de ecuaciones diferenciales. Para hacer la presentación concreta y atractiva, se ha adoptado el entorno de programación MATLAB como un fiel compañero. Se muestran todos los algoritmos introducidos a través del libro, suministrando de este modo una evaluación cuantitativa inmediata de sus propiedades teóricas como son la estabilidad, la precisión y la complejidad. El libro también contiene la solución de varios problemas planteados a través de ejercicios y ejemplos, a menudo surgidos de aplicaciones específicas. Se dedica una sección específica a temas que no fueron tratados en el libro y se indican algunas referencias bibliográficas para un tratamiento más completo de la materia.

Download or read book Aplicaciones matem ticas con MATLAB written by and published by . This book was released on 2013 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Introducci n a MATLAB y sus applicaciones written by Peregrina Quintela Estévez and published by . This book was released on 1997 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computational Intelligence for Engineering and Management Applications written by Prasenjit Chatterjee and published by Springer Nature. This book was released on 2023-04-29 with total page 925 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises select proceedings of the 1st International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA - 2022). This book emphasizes applications of computational intelligence including machine intelligence, data analytics, and optimization algorithms for solving fundamental and advanced engineering and management problems. This book serves as a valuable resource for researchers, industry professionals, academicians, and doctoral scholars in engineering, production, thermal, materials, design, computer engineering, natural sciences, and management who work on computational intelligence. The book also serves researchers who are willing to use computational intelligence algorithms in real-time applications.

Download or read book Exploratory Data Analysis with MATLAB written by Wendy L. Martinez and published by CRC Press. This book was released on 2017-08-07 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA Reviews Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data

Download or read book Simulation of ODE PDE Models with MATLAB OCTAVE and SCILAB written by Alain Vande Wouwer and published by Springer. This book was released on 2014-06-07 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB shows the reader how to exploit a fuller array of numerical methods for the analysis of complex scientific and engineering systems than is conventionally employed. The book is dedicated to numerical simulation of distributed parameter systems described by mixed systems of algebraic equations, ordinary differential equations (ODEs) and partial differential equations (PDEs). Special attention is paid to the numerical method of lines (MOL), a popular approach to the solution of time-dependent PDEs, which proceeds in two basic steps: spatial discretization and time integration. Besides conventional finite-difference and element techniques, more advanced spatial-approximation methods are examined in some detail, including nonoscillatory schemes and adaptive-grid approaches. A MOL toolbox has been developed within MATLAB®/OCTAVE/SCILAB. In addition to a set of spatial approximations and time integrators, this toolbox includes a collection of application examples, in specific areas, which can serve as templates for developing new programs. Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB provides a practical introduction to some advanced computational techniques for dynamic system simulation, supported by many worked examples in the text, and a collection of codes available for download from the book’s page at www.springer.com. This text is suitable for self-study by practicing scientists and engineers and as a final-year undergraduate course or at the graduate level.

Download or read book Recent Advances in Electrical Engineering Electronics and Energy written by Miguel Botto Tobar and published by Springer Nature. This book was released on 2021-03-24 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the XV Multidisciplinary International Congress on Science and Technology (CIT 2020), held in Quito, Ecuador, on 26–30 October 2020, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in Science and Technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: • Electrical and Electronic• Energy and Mechanics

Download or read book A handbook on flood hazard mapping methodologies written by Andrés Díez Herrero and published by IGME. This book was released on 2009 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Electric Vehicle Machines and Drives written by K. T. Chau and published by John Wiley & Sons. This book was released on 2015-05-13 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely comprehensive reference consolidates the research and development of electric vehicle machines and drives for electric and hybrid propulsions • Focuses on electric vehicle machines and drives • Covers the major technologies in the area including fundamental concepts and applications • Emphasis the design criteria, performance analyses and application examples or potentials of various motor drives and machine systems • Accompanying website includes the simulation models and outcomes as supplementary material

Download or read book Mathematical Biology written by James D. Murray and published by Springer Science & Business Media. This book was released on 2007-06-12 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Biology is a richly illustrated textbook in an exciting and fast growing field. Providing an in-depth look at the practical use of math modeling, it features exercises throughout that are drawn from a variety of bioscientific disciplines - population biology, developmental biology, physiology, epidemiology, and evolution, among others. It maintains a consistent level throughout so that graduate students can use it to gain a foothold into this dynamic research area.