Titlebook: Optimization and Decision Science; ODS, Virtual Confere Raffaele Cerulli,Mauro Dell‘Amico,Antonio Sforza Book 2021 The Editor(s) (if applic

難免

書目名稱Optimization and Decision Science影響因子(影響力)




書目名稱Optimization and Decision Science影響因子(影響力)學(xué)科排名




書目名稱Optimization and Decision Science網(wǎng)絡(luò)公開度




書目名稱Optimization and Decision Science網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Optimization and Decision Science被引頻次




書目名稱Optimization and Decision Science被引頻次學(xué)科排名




書目名稱Optimization and Decision Science年度引用




書目名稱Optimization and Decision Science年度引用學(xué)科排名




書目名稱Optimization and Decision Science讀者反饋




書目名稱Optimization and Decision Science讀者反饋學(xué)科排名

是限制

Optimization and Decision Science978-3-030-86841-3Series ISSN 2523-7047 Series E-ISSN 2523-7055

Palter

Raffaele Cerulli,Mauro Dell‘Amico,Antonio SforzaOffers new and original contributions on optimization, decisions science and prescriptive analytics.Describes models and methods for addressing a wide diversity of real-world applications.Is aimed pri

hurricane

AIRO Springer Serieshttp://image.papertrans.cn/o/image/703204.jpg

怎樣才咆哮

Jargon

pessimism

A Heuristic Approach for the Human Migration Problemblem is characterized by a variational inequality formulation. Due to the high complexity of this problem, in order to efficiently solve realistic instances a heuristic method is proposed. The presented algorithms are tested and compared over a number of randomly generated instances.

獨(dú)輪車

Integer Programming Reformulations in Interval Linear Programmingndently perturbed within the given lower and upper bounds. Many tasks in interval linear programming, such as describing the feasible set or computing the range of optimal values, can be solved by the orthant decomposition method, which reduces the interval problem to a set of linear-programming sub

pessimism

On the Optimal Generalization Error for Weighted Least Squares Under Variable Individual Supervisionoptimized, for the case in which distinct examples can be associated with one among .?>?2 different supervision times, and weighted least squares is used for learning. The analysis extends the one made in one section of ., which was limited to the case .?=?2. The results show that, for the specific

AND

On Braess’ Paradox and Average Quality of Service in Transportation Network Cooperative Gamesall network performance. Here the paradox is investigated under a cooperative game-theoretic setting, in contrast to the non-cooperative one typically adopted in the literature. A family of cooperative games on networks is considered, whose utility function, defined in terms of a traffic assignment