Atnaujinkite slapukų nuostatas

El. knyga: Stochastic Methods for Estimation and Problem Solving in Engineering

Edited by

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

Utilizing mathematical algorithms is an important aspect of recreating real-world problems in order to make important decisions. By generating a randomized algorithm that produces statistic patterns, it becomes easier to find solutions to countless situations.

Stochastic Methods for Estimation and Problem Solving in Engineering provides emerging research on the role of random probability systems in mathematical models used in various fields of research. While highlighting topics, such as random probability distribution, linear systems, and transport profiling, this book explores the use and behavior of uncertain probability methods in business and science. This book is an important resource for engineers, researchers, students, professionals, and practitioners seeking current research on the challenges and opportunities of non-deterministic probability models.
Preface xii
Acknowledgment xvi
Chapter 1 A New Technique for Optimization of Product Acceptance Process in Terms of Misclassification Probability
1(32)
Nicholas A. Nechval
Konstantin N. Nechval
Chapter 2 Combination of Stochastic Methods for Solving ELD Problem of Thermal Power Generation System
33(28)
Dipankar Santra
Krishna Sarker
Jayanti Sarker
Anirban Mukherjee
Subrata Mondal
Chapter 3 Factors Influencing Patients' Satisfaction
61(13)
Soraia Oueida
Seifedine Kadry
Sorin Ionescu
Chapter 4 Stability of Linear Systems With Multitask Right-Hand Member
74(39)
G. V. Alferov
G. G. Ivanov
P. A. Efimova
A. S. Sharlay
Chapter 5 Stochastic Approximation-Based Transport Profiling for Big Data Movement Over Dedicated Connections
113(26)
Daqing Yun
Chase Q. Wu
Chapter 6 Stochastic Methods for Estimation and Problem Solving in Engineering: Stochastic Methods of Decision Making in Aviation
139(22)
Tetiana Shmelova
Chapter 7 Stochastic Methods in Microsystems Engineering
161(16)
Irina Stanciu
Chapter 8 Utilization of Social Networks for Human Resources Purposes
177(22)
Maryam Haghshenas
Abouzar Sadeghzadeh
Chapter 9 Stochastic Methods Applied to Structural Mechanics: Reliability and Optimization Methods
199(22)
Siham Ouhimmou
Related References 221(33)
Compilation of References 254(16)
About the Contributors 270(4)
Index 274