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Anya is a physician in a small town in Indiana. She is now widowed as a result of a drunk driving accident three years ago. She is running her medical practice and taking care of her four children with the help of friends and family. Anya decides to go to Hollywood California to learn how to inject botox. As she is walking in the hotel lobby one day on her way to class, Anya makes eye contact with a gorgeous man (Gavin). Little does she know how her life will change with this chance meeting. Gavin is a famous movie star and the world's most eligible bachelor. While walking through the lobby where he is doing business at the Reagent Beverly Wilshire, he catches the eye of the most beautiful woman he has ever seen (Anya). He decides that he wants to get to know her and pursue her. He finds out quickly that she is very different from his other pursuits. For one thing she comes with four children and for another.she doesn't believe in premarital sex. Gavin, who is a 48 year old bachelor, decides to pursue a relationship making them Hollywood's Hottest Couple.
The main idea of statistical convergence is to demand convergence only for a majority of elements of a sequence. This method of convergence has been investigated in many fundamental areas of mathematics such as: measure theory, approximation theory, fuzzy logic theory, summability theory, and so on. In this monograph we consider this concept in approximating a function by linear operators, especially when the classical limit fails. The results of this book not only cover the classical and statistical approximation theory, but also are applied in the fuzzy logic via the fuzzy-valued operators. The authors in particular treat the important Korovkin approximation theory of positive linear operators in statistical and fuzzy sense. They also present various statistical approximation theorems for some specific real and complex-valued linear operators that are not positive. This is the first monograph in Statistical Approximation Theory and Fuzziness. The chapters are self-contained and several advanced courses can be taught.
The research findings will be useful in various applications including applied and computational mathematics, stochastics, engineering, artificial intelligence, vision and machine learning. This monograph is directed to graduate students, researchers, practitioners and professors of all disciplines.
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