Uncertain Differential Equations: Springer Uncertainty Research
Autor Kai Yaoen Limba Engleză Hardback – 6 sep 2016
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 310.19 lei 6-8 săpt. | |
| Springer Berlin, Heidelberg – 12 iun 2018 | 310.19 lei 6-8 săpt. | |
| Hardback (1) | 316.00 lei 6-8 săpt. | |
| Springer Berlin, Heidelberg – 6 sep 2016 | 316.00 lei 6-8 săpt. |
Preț: 316.00 lei
Preț vechi: 395.00 lei
-20% Nou
Puncte Express: 474
Preț estimativ în valută:
60.48€ • 64.21$ • 50.10£
60.48€ • 64.21$ • 50.10£
Carte tipărită la comandă
Livrare economică 25 decembrie 24 - 08 ianuarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783662527276
ISBN-10: 3662527278
Pagini: 300
Ilustrații: XIII, 158 p.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.42 kg
Ediția:1st ed. 2016
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Uncertainty Research
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3662527278
Pagini: 300
Ilustrații: XIII, 158 p.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.42 kg
Ediția:1st ed. 2016
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Uncertainty Research
Locul publicării:Berlin, Heidelberg, Germany
V-ar putea interesa
-
The Computational BrainPatricia S. Churchland-20%Preț: 282.01 lei352.51 lei -
-13%Preț: 335.19 lei386.77 lei -
-20%Preț: 247.24 lei309.06 lei -
-20%Preț: 369.26 lei461.58 lei -
-20%Preț: 201.66 lei252.08 lei -
-20%Preț: 171.11 lei213.89 lei -
-20%Preț: 306.35 lei382.94 lei -
-23%Preț: 1253.93 lei1628.48 lei -
Nature-Inspired Computing and Optimization: Theory and ApplicationsSrikanta Patnaik-20%Preț: 1008.06 lei1260.07 lei -
-20%Preț: 626.58 lei783.22 lei -
Applications of Sliding Mode Control in Science and EngineeringSundarapandian Vaidyanathan-20%Preț: 627.98 lei784.98 lei -
-20%Preț: 322.86 lei403.58 lei -
The Impact of Information on Modern HumansElena G. Popkova-20%Preț: 337.92 lei422.40 lei -
-20%Preț: 636.13 lei795.17 lei -
-20%Preț: 636.00 lei795.00 lei -
-20%Preț: 288.35 lei360.43 lei -
Applications of Learning Classifier SystemsLarry Bull-20%Preț: 944.77 lei1180.96 lei -
Knowledge Representation Techniques: A Rough Set ApproachPatrick Doherty-20%Preț: 1216.28 lei1520.35 lei -
Introduction to Learning Classifier SystemsRyan J. Urbanowicz-20%Preț: 335.49 lei419.36 lei -
Uncertain Renewal ProcessesKai Yao-15%Preț: 495.33 lei582.74 lei
Cuprins
Introduction.- Uncertain Variable.- Uncertain Process.- Contour Process.- Uncertain Calculus.- Uncertain Differential Equation.- Uncertain Calculus with Renewal Process.- Uncertain Differential Equation with Jumps.- Multi-Dimensional Uncertain Differential Equation.- High-Order Uncertain Differential Equation.
Recenzii
“The book under review is the first textbook on this topic. … The book is well organized and endowed with many illustrative examples. It is suitable for mathematicians interested in the finance theory.” (Andrzej Nowak, zbMATH 1378.60009, 2018)
Textul de pe ultima copertă
This book introduces readers to the basic concepts of and latest findings in the area of differential equations with uncertain factors. It covers the analytic method and numerical method for solving uncertain differential equations, as well as their applications in the field of finance. Furthermore, the book provides a number of new potential research directions for uncertain differential equation. It will be of interest to researchers, engineers and students in the fields of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, automation, economics, and management science.
Caracteristici
The first book available on uncertain differential equations Covers uncertain differential equation with jumps Covers multi-dimensional uncertain differential equation Covers high-order uncertain differential equation Includes supplementary material: sn.pub/extras