Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
25.06.2009
Seitenzahl
170
Maße (L/B/H)
25,1/17,5/1 cm
Gewicht
318 g
Sprache
Englisch
ISBN
978-0-89871-679-5
This textbook provides undergraduate students with an introduction to optimization and its uses for relevant and realistic problems. The only prerequisite for readers is a basic understanding of multivariable calculus because additional material, such as explanations of matrix tools, are provided in a series of Asides both throughout the text at relevant points and in a handy appendix.
The Basics of Practical Optimization presents step-by-step solutions for five prototypical examples that fit the general optimization model, along with instruction on using numerical methods to solve models and making informed use of the results. It also includes information on how to optimize while adjusting the method to accommodate various practical concerns; three fundamentally different approaches to optimizing functions under constraints; and ways to handle the special case when the variables are integers.
The author provides four types of learn-by-doing activities through the book: Exercises meant to be attempted as they are encountered and that are short enough for in-class use; Problems for lengthier in-class work or homework; Computational Problems for homework or a computer lab session; and Implementations usable as collaborative activities in the computer lab over extended periods of time.
The accompanying Web site offers the Mathematica notebooks that support the Implementations.
The Basics of Practical Optimization presents:
- Step-by-step solutions for five prototypical examples that fit the general optimization model.
- Instruction on using numerical methods to solve models and making informed use of the results.
- Information on how to optimize while adjusting the method to accommodate various practical concerns.
- Three fundamentally different approaches to optimizing functions under constraints.
- Ways to handle the special case when the variables are integers.
- Exercises meant to be attempted as they are encountered and that are short enough for in-class use.
- Problems for lengthier in-class work or homework.
- Computational Problems for homework or a computer lab session.
- Implementations usable as collaborative activities in the computer lab over extended periods of time.
>The author provides four types of learn-by-doing activities through the book:
>The accompanying Web site offers the Mathematica notebooks that support the Implementations.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für dein Feedback
Wir nutzen dein Feedback, um unsere Produktseiten zu verbessern. Bitte habe Verständnis, dass wir dir keine Rückmeldung geben können. Falls du Kontakt mit uns aufnehmen möchtest, kannst du dich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice