Kategoria BISAC: Mathematics >> Linear & Nonlinear Programming

Linear programming attracted the interest of mathematicians during and after World War II when the first computers were constructed and methods for solving large linear programming problems were sought in connection with specific practical problems for example, providing logistical support for the U.S. Armed Forces or modeling national economies. Early attempts to apply linear programming methods to solve practical problems failed to satisfy expectations. There were various reasons for the failure. One of them, which is the central topic of this book, was the inexactness of the data used...

Approximation theory and numerical analysis are central to the creation of accurate computer simulations and mathematical models. Research in these areas can influence the computational techniques used in a variety of mathematical and computational sciences.

This collection of contributed chapters, dedicated to renowned mathematician Gradimir V. Milovanovic, represent the recent work of experts in the fields of approximation theory and numerical analysis. These invited contributions describe new trends in these important areas of research including theoretic developments, new...

Il libro narra la vicenda di Rut, quindicenne, da poco trasferitasi con la famiglia in Germania al seguito del padre che lavora per un'azienda produttrice di Software. Nella nuova scuola Rut sta attraversando un periodo di crisi quando il padre, un giorno, le regala un computer nuovo. E' l'inizio di un'avventura. Nel computer e infatti installato Vim: un programma che ascolta, capisce e risponde alle domande di Rut, la quale finisce per confidargli le proprie difficolta a scuola, soprattutto nei confronti della matematica. Raccontata da Vim, quella che sembrava una disciplina astratta e...

Optimization has become an essential tool in addressing the limitation of resources and need for better decision-making in the medical field. Both continuous and discrete mathematical techniques are playing an increasingly important role in understanding several fundamental problems in medicine.

This volume presents a wide range of medical applications that can utilize mathematical computing. Examples include using an algorithm for considering the seed reconstruction problem in brachytherapy and using optimization-classification models to assist in the early prediction, diagnosis...

Optimization Theory and Methods can be used as a textbook for an optimization course for graduates and senior undergraduates. It is the result of the author's teaching and research over the past decade. It describes optimization theory and several powerful methods. For most methods, the book discusses an idea's motivation, studies the derivation, establishes the global and local convergence, describes algorithmic steps, and discusses the numerical performance.