Resolución de ecuaciones diferenciales no lineales utilizando el Método de Transformación diferencial PDF Download
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Author: Adrian Arboleda Arenas Publisher: ISBN: Category : Languages : es Pages :
Book Description
Resumen: En este trabajo mostraremos el concepto de transformacion diferencial, sus propiedades, teoremas, proposiciones que las soportan, al igual que el uso del metodo de transformacion diferencial (DTM, por sus siglas en ingles), metodo numerico y cuasi analítico para la solución de ecuaciones diferenciales no lineales, ordinarias y parciales. Mostraremos soluciones en series de potencias infinitas que representan a las soluciones exactas del problema, debido a la dificultad de encontrar en muchos casos soluciones por metodos analíticos. Tambiien se mostraran e ilustraran graficamente la convergencia de tales soluciones junto con la velocidad de dicha convergencia, comprobando asi la utilidad del metodo y la necesidad de su uso, dada la rapidez que presentan sus calculos. Encontraremos tambien soluciones a ecuaciones diferenciales especiales para problemas especificos de física e ingeniería.
Author: Charles Henry Edwards Publisher: Pearson Educación ISBN: 9789684444386 Category : Computers Languages : en Pages : 816
Book Description
For introductory courses in Differential Equations. This text provides the conceptual development and geometric visualization of a modern differential equations course while maintaining the solid foundation of algebraic techniques that are still essential to science and engineering students. It reflects the new excitement in differential equations as the availability of technical computing environments likeMaple, Mathematica, and MATLAB reshape the role and applications of the discipline. New technology has motivated a shift in emphasis from traditional, manual methods to both qualitative and computer-based methods that render accessible a wider range of realistic applications. With this in mind, the text augments core skills with conceptual perspectives that students will need for the effective use of differential equations in their subsequent work and study.
Author: Adrian Arboleda Arenas Publisher: ISBN: Category : Languages : es Pages :
Book Description
Resumen: En este trabajo mostraremos el concepto de transformacion diferencial, sus propiedades, teoremas, proposiciones que las soportan, al igual que el uso del metodo de transformacion diferencial (DTM, por sus siglas en ingles), metodo numerico y cuasi analítico para la solución de ecuaciones diferenciales no lineales, ordinarias y parciales. Mostraremos soluciones en series de potencias infinitas que representan a las soluciones exactas del problema, debido a la dificultad de encontrar en muchos casos soluciones por metodos analíticos. Tambiien se mostraran e ilustraran graficamente la convergencia de tales soluciones junto con la velocidad de dicha convergencia, comprobando asi la utilidad del metodo y la necesidad de su uso, dada la rapidez que presentan sus calculos. Encontraremos tambien soluciones a ecuaciones diferenciales especiales para problemas especificos de física e ingeniería.
Author: Encyclopaedia Britannica, Inc Publisher: Encyclopaedia Britannica, Inc. ISBN: 1615355162 Category : Juvenile Nonfiction Languages : en Pages : 2982
Book Description
The Britannica Enciclopedia Moderna covers all fields of knowledge, including arts, geography, philosophy, science, sports, and much more. Users will enjoy a quick reference of 24,000 entries and 2.5 million words. More then 4,800 images, graphs, and tables further enlighten students and clarify subject matter. The simple A-Z organization and clear descriptions will appeal to both Spanish speakers and students of Spanish.
Author: Inna Shingareva Publisher: Springer Science & Business Media ISBN: 370910517X Category : Mathematics Languages : en Pages : 372
Book Description
The emphasis of the book is given in how to construct different types of solutions (exact, approximate analytical, numerical, graphical) of numerous nonlinear PDEs correctly, easily, and quickly. The reader can learn a wide variety of techniques and solve numerous nonlinear PDEs included and many other differential equations, simplifying and transforming the equations and solutions, arbitrary functions and parameters, presented in the book). Numerous comparisons and relationships between various types of solutions, different methods and approaches are provided, the results obtained in Maple and Mathematica, facilitates a deeper understanding of the subject. Among a big number of CAS, we choose the two systems, Maple and Mathematica, that are used worldwide by students, research mathematicians, scientists, and engineers. As in the our previous books, we propose the idea to use in parallel both systems, Maple and Mathematica, since in many research problems frequently it is required to compare independent results obtained by using different computer algebra systems, Maple and/or Mathematica, at all stages of the solution process. One of the main points (related to CAS) is based on the implementation of a whole solution method (e.g. starting from an analytical derivation of exact governing equations, constructing discretizations and analytical formulas of a numerical method, performing numerical procedure, obtaining various visualizations, and comparing the numerical solution obtained with other types of solutions considered in the book, e.g. with asymptotic solution).
Author: Zura Kakushadze Publisher: Springer ISBN: 3030027929 Category : Business & Economics Languages : en Pages : 480
Book Description
The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.
Author: Adrian Arboleda Arenas
Author: Charles Henry Edwards
Author: Adrian Arboleda Arenas
Author: 
Author: Encyclopaedia Britannica, Inc
Author: Inna Shingareva
Author: Zura Kakushadze
Author: 
Author: Universidad de Chile. Departamento de Astronomía
Author: Angel de la Fuente
Author: Adelina Gutiérrez-Moreno