Título : | métodos matemáticos para economistas. | Tipo de documento: | texto impreso | Autores: | Glass, Colin J., Autor | Editorial: | Bogotá; McGraw-Hill | Fecha de publicación: | 1980. | Número de páginas: | 294 p. | ISBN/ISSN/DL: | 968451420 | Idioma : | Español (spa) | Materias: | Economía
| Palabras clave: | Matemáticas para economistas , Matrices (Matemáticas) - Álgebra. | Clasificación: | 519.93 / G517m | Resumen: | Representación matemática de relaciones económicas , Modelo de equilibrio estático , Álgebra matricial , Modelos económicos lineales en forma matricial , Diferenciación de funciones de una variable , Aplicaciones de las derivadas en economía , Aplicaciones de la maximización y minimización en economía , Diferenciación parcial y total , Optimo sin restricción , Optimo restringido , Integración y funciones exponenciales. |
| ![](data:image/jpeg;base64,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) |