Mathematics for business analysis / Paul Turner, Justine Wood.
Editor: Duxbury : Mercury Learning and Information, 2023Descripción: 1 onloine resource (377 pages)Tipo de contenido:- text
- computer
- online resource
- 9781683929376
- 9781683929369
- HF5691 .T87 2023
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Libro mb | Biblioteca de Mayagüez Acceso en línea | HF5691 .T87 2023 (Navegar estantería(Abre debajo)) | c. 1 Ebook | Disponible | 52000003299354 |
Descripciones mejoradas de Syndetics:
Designed for students, faculty, and professionals, this book describes the role of mathematics in the world of economics and business. Beginning with the fundamental nature of numbers and progressing into more complex realms like hyperreal numbers and the intricacies of set theory, this book constructs a strong foundational understanding of mathematical concepts. The book uses PYTHON code throughout the text to illustrate problems numerically. As readers advance, the text seamlessly integrates essential topics such as linear simultaneous equations, which are pivotal in analyzing market equilibrium, and covers the mechanics of matrices for solving larger equation systems. Furthermore, chapters dedicated to calculus, especially its applications in economics and the innovative use of infinitesimal methods, equip learners with tools to tackle profit maximization challenges, factor optimization, and beyond. Later chapters unfold the world of differential and difference equations, revealing their significance in analyzing dynamic systems. All these concepts are illuminated through practical examples and numerous images from economics and business, ensuring relevance and clarity.
Includes bibliographical references and index.
Chapter 1: Sets, Numbers, and Algebra -- Chapter 2: Lines, Curves, Functions, and Equations -- Chapter 3: Simultaneous Equations -- Chapter 4: Derivatives and Differentiation -- Chapter 5: Optimization -- Chapter 6: Optimization of Multivariable Functions -- Chapter 7: Integration -- Chapter 8: Matrices -- Chapter 9: First-Order Differential Equations -- Chapter 10: Second-Order Differential Equations -- Chapter 11: Difference Equations -- Appendix A: Coding in Python -- Appendix B: Odd Numbered Exercises Answers -- Index.
"In developing this book, we have drawn on our experiences of teaching mathematics to economics and business students over a long period of time. This is, more often than not, a challenging task because mathematics can be viewed as unpopular with students, who may regard it as a chore rather than a pleasure. Nevertheless, we believe that teaching mathematics as part of economics and business programs can be of immense value to the students concerned and can even be enjoyable for the staff involved. What is needed is a clear program of study and a willingness to explain the subject from basics rather than as just a set of unrelated techniques. This is what we attempt to do in this book"-- Provided by publisher.