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APPLIED ENGINEERING MATHEMATICS

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68,27 €

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CANTIDAD

Referencia: Código 8707


DESCRIPCIÓN:

Junio de 2020  -  Brian Vick  -  Refª 8708

Los estudiantes universitarios de ingeniería necesitan buenas habilidades matemáticas. Este libro de texto respalda esta necesidad poniendo un fuerte énfasis en la visualización y los métodos y herramientas necesarios en toda la ingeniería.

CONTENIDO:

Brian Vick

Junio de 2020       Páginas: 232

Código 8708      ISBN/EAN: 9780367432768

Book Description

Undergraduate engineering students need good mathematics skills. This textbook supports this need by placing a strong emphasis on visualization and the methods and tools needed across the whole of engineering. The visual approach is emphasized, and excessive proofs and derivations are avoided. The visual images explain and teach the mathematical methods. The book’s website provides dynamic and interactive codes in Mathematica to accompany the examples for the reader to explore on their own with Mathematica or the free Computational Document Format player, and it provides access for instructors to a solutions manual.

    • Strongly emphasizes a visual approach to engineering mathematics
    • Written for years 2 to 4 of an engineering degree course
    • Website offers support with dynamic and interactive Mathematica code and instructor’s solutions manual

Brian Vick is an associate professor at Virginia Tech in the United States and is a longtime teacher and researcher. His style has been developed from teaching a variety of engineering and mathematical courses in the areas of heat transfer, thermodynamics, engineering design, computer programming, numerical analysis, and system dynamics at both undergraduate and graduate levels.

Table of Contents

1. Overview

2. Physical Processes

3. Modeling of Physical Processes

4. Calculus

5. Linear Algebra

6. Non-Linear Algebraic Equations: Root Finding and Optimization

7. Introduction to Ordinary Differential Equations

8. Laplace Transforms

9. Numerical Solutions of Ordinary Differential Equations

10. First Order Ordinary Differential Equations

11. Second Order Ordinary Differential Equations

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