Advances in Mathematical Methods and High Performance Computing. 1st ed. 2019

種類:

電子ブック

責任表示:

edited by Vinai K. Singh, David Gao, Andreas Fischer

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2019

著者名:

• Singh, Vinai K.
• Gao, David.
• Fischer, Andreas.
• SpringerLink (Online service)

シリーズ名:

Advances in Mechanics and Mathematics ; 41

ISBN:

9783030024871 [3030024873]    

注記:

Chapter 1- CanonicalDuality-Triality: UnifiedUnderstanding Modeling, Problems,and NP-Hardness in Multi-Scale Optimization -- Chapter 2- Numerical Investigation of Stochastic Neural Field Equations -- Chapter 3- Nonstationary signal decomposition for dummies -- Chapter 4- Modeling the socio-economic waste generation factors using artificial neural network: A case study of Gurugram (Haryana State, India) -- Chapter 5- Regularization of Highly ill-Conditioned RBF Asymmetric Collocation Systems in Fractional Models -- Chapter 6- The Effect of Toxin and Human Impact on Marine Ecosystem -- Chapter 7- A Computational Study of Reduction Techniques for the Minimum Connectivity Inference Problem -- Chapter 8- Approximate Controllability of Nonlocal Impulsive Stochastic Differential Equations with Delay -- Chapter 9- Convergence of an Operator Splitting Scheme for Abstract Stochastic Evolution Equations -- Chapter 10- Modified Post-Widder Operators Preserving Exponential Functions -- Chapter 11- The Properties of Certai
This special volume of the conference will be of immense use to the researchers and academicians. In this conference, academicians, technocrats and researchers will get an opportunity to interact with eminent persons in the field of Applied Mathematics and Scientific Computing. The topics to be covered in this International Conference are comprehensive and will be adequate for developing and understanding about new developments and emerging trends in this area. High-Performance Computing (HPC) systems have gone through many changes during the past two decades in their architectural design to satisfy the increasingly large-scale scientific computing demand. Accurate, fast, and scalable performance models and simulation tools are essential for evaluating alternative architecture design decisions for the massive-scale computing systems. This conference recounts some of the influential work in modeling and simulation for HPC systems and applications, identifies some of the major challenges, and outlines future re

ローカル注記:

学内専用E-BOOKS (local access only)