Gromicho joaquim (21 risultati)

Condizione: Good. : Este libro, escrito por Joaquim António dos Santos Gromicho, explora la optimización cuasiconvexa y la teoría de la localización. Originalmente presentada como la tesis doctoral del autor en Rotterdam en 1995, esta obra incluye referencias bibliográficas y un resumen en neerlandés. El libro forma parte de la serie de investigación del Instituto Tinbergen, número 90, y aborda temas de programación convexa y funciones convexas, siendo relevante para estudiantes y profesionales en el campo de la investigación operativa y la optimización matemática. EAN: 9789051703214 Tipo: Libros Categoría: Tecnología|Ciencias Título: Quasiconvex Optimization and Location Theory Autor: Joaquim António dos Santos Gromicho Editorial: Thesis Pub Idioma: en Páginas: 196 Formato: tapa blanda.…

Condizione: Good. Dissertatie.

paperback. Condizione: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Paperback. Condizione: New. This practical guide to optimization combines mathematical theory with hands-on coding examples to explore how Python can be used to model problems and obtain the best possible solutions. Presenting a balance of theory and practical applications, it is the ideal resource for upper-undergraduate and graduate students in applied mathematics, data science, business, industrial engineering and operations research, as well as practitioners in related fields. Beginning with an introduction to the concept of optimization, this text presents the key ingredients of an optimization problem and the choices one needs to make when modeling a real-life problem mathematically. Topics covered range from linear and network optimization to convex optimization and optimizations under uncertainty. The book's Python code snippets, alongside more than 50 Jupyter notebooks on the author's GitHub, allow students to put the theory into practice and solve problems inspired by real-life challenges, while numerous exercises sharpen students' understanding of the methods discussed.…

Condizione: New. In.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Condizione: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Condizione: Brand New. 387 pages. 10.00x7.01x0.50 inches. In Stock.

Condizione: New.

Condizione: New.

Paperback. Condizione: New. This practical guide to optimization combines mathematical theory with hands-on coding examples to explore how Python can be used to model problems and obtain the best possible solutions. Presenting a balance of theory and practical applications, it is the ideal resource for upper-undergraduate and graduate students in applied mathematics, data science, business, industrial engineering and operations research, as well as practitioners in related fields. Beginning with an introduction to the concept of optimization, this text presents the key ingredients of an optimization problem and the choices one needs to make when modeling a real-life problem mathematically. Topics covered range from linear and network optimization to convex optimization and optimizations under uncertainty. The book's Python code snippets, alongside more than 50 Jupyter notebooks on the author's GitHub, allow students to put the theory into practice and solve problems inspired by real-life challenges, while numerous exercises sharpen students' understanding of the methods discussed.…

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This practical guide to optimization combines mathematical theory with hands-on coding examples to explore how Python can be used to model problems and obtain the best possible solutions. Presenting a balance of theory and practical applications, it is the ideal resource for upper-undergraduate and graduate students in applied mathematics, data science, business, industrial engineering and operations research, as well as practitioners in related fields. Beginning with an introduction to the concept of optimization, this text presents the key ingredients of an optimization problem and the choices one needs to make when modeling a real-life problem mathematically. Topics covered range from linear and network optimization to convex optimization and optimizations under uncertainty. The book's Python code snippets, alongside more than 50 Jupyter not Elektronisches Buch on the author's GitHub, allow students to put the theory into practice and solve problems inspired by real-life challenges, while numerous exercises sharpen students' understanding of the methods discussed.…

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Erasmus Univ. 1995 sewed, 196 pp. Thesis with Stellingen Perfect copy (code Sc-52).

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.