Mathematical Analysis Peng

Mathematical Analysis, Volume II  eBooks & eLearning

Posted by readerXXI at Feb. 24, 2024
Mathematical Analysis, Volume II

Mathematical Analysis, Volume II
Teo Lee Peng
English | 2024 | ISBN: n/a | 650 Pages | True PDF | 22 MB
Proceedings of 3rd International Conference on Mathematical Modeling and Computational Science: ICMMCS 2023

Sheng-Lung Peng, "Proceedings of 3rd International Conference on Mathematical Modeling and Computational Science: ICMMCS 2023 "
English | ISBN: 9819936101 | 2023 | 580 pages | PDF | 16 MB

Tensor Analysis for Engineers: Transformations - Mathematics - Applications  eBooks & eLearning

Posted by Free butterfly at Oct. 14, 2024
Tensor Analysis for Engineers: Transformations - Mathematics - Applications

Tensor Analysis for Engineers: Transformations - Mathematics - Applications by Mehrzad Tabatabaian PEng
English | July 18, 2023 | ISBN: 1683929640 | 234 pages | MOBI | 24 Mb

Underwater Wireless Power Transfer: Smart Ocean Energy Converters  eBooks & eLearning

Posted by roxul at Dec. 20, 2018
Underwater Wireless Power Transfer: Smart Ocean Energy Converters

Taofeek Orekan and Peng Zhang, "Underwater Wireless Power Transfer: Smart Ocean Energy Converters"
English | ISBN: 3030025616 | 2019 | 106 pages | PDF, EPUB | 33 MB
Nonlinear Expectations and Stochastic Calculus under Uncertainty: with Robust CLT and G-Brownian Motion

Nonlinear Expectations and Stochastic Calculus under Uncertainty: with Robust CLT and G-Brownian Motion by Shige Peng
English | PDF,EPUB | 2019 | 216 Pages | ISBN : 3662599023 | 22.72 MB

This book is focused on the recent developments on problems of probability model uncertainty by using the notion of nonlinear expectations and, in particular, sublinear expectations. It provides a gentle coverage of the theory of nonlinear expectations and related stochastic analysis. Many notions and results, for example, G-normal distribution, G-Brownian motion, G-Martingale representation theorem, and related stochastic calculus are first introduced or obtained by the author.

Sliding Mode Control of Uncertain Parameter-Switching Hybrid Systems (repost)  eBooks & eLearning

Posted by interes at July 7, 2019
Sliding Mode Control of Uncertain Parameter-Switching Hybrid Systems (repost)

Sliding Mode Control of Uncertain Parameter-Switching Hybrid Systems (Wiley Series in Dynamics and Control of Electromechanical Systems) by Ligang Wu, Peng Shi, Xiaojie Su
English | 2014 | ISBN: 1118862597 | 288 pages | PDF | 4 MB
The Statistics and Machine Learning with R Workshop: Unlock the power of efficient data science modeling with this hands-on gui

The Statistics and Machine
Learning with R Workshop
by Liu Peng

English | 2023 | ISBN: 180324030X | 516 pages | True PDF EPUB | 41.42 MB

The Statistics and Machine Learning with R Workshop  eBooks & eLearning

Posted by Free butterfly at July 20, 2024
The Statistics and Machine Learning with R Workshop

The Statistics and Machine Learning with R Workshop: Unlock the power of efficient data science modeling with this hands-on guide by Liu Peng
English | October 25, 2023 | ISBN: 180324030X | 516 pages | EPUB | 15 Mb
Data Science: Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Part II

Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part II by Beiji Zou, Qilong Han, Guanglu Sun, Weipeng Jing, Xiaoning Peng, Zeguang Lu
English | 2017 | ISBN: 9811063877 | 587 Pages | PDF | 86.1 MB

This two volume set (CCIS 727 and 728) constitutes the refereed proceedings of the Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017 (originally ICYCSEE) held in Changsha, China, in September 2017.

Advances in the Base Force Element Method  eBooks & eLearning

Posted by nebulae at Feb. 26, 2019
Advances in the Base Force Element Method

Yijiang Peng and Yinghua Liu, "Advances in the Base Force Element Method"
English | ISBN: 9811357757 | 2019 | 484 pages | PDF, EPUB | 56 MB