Theory of Stochastic Processes: with Applications to Financial Mathematics and Risk Theory
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Providing the necessary materials within a theoretical framework, this volume presents stochastic principles and processes, and related areas. Over 1000 exercises illustrate the concepts discussed, including modern approaches to sample paths and optimal stopping.
原價:
1300
售價:
407
現省:
893元
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Theoretical Introduction to Programming
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Including easily digested information about fundamental techniques and concepts in software construction, this book is distinct in unifying pure theory with pragmatic details. Driven by generic problems and concepts, with brief and complete illustrations from languages including C, Prolog, Java, Scheme, Haskell and HTML.
This book is intended to be both a how-to handbook and easy reference guide. Discussions of principle, worked examples and exercises are presented. All concepts outside introductory programming are explained with clear demarcation and dependencies so the experienced programmer can quickly locate material. Readable in a linear manner, with short mono-thematic to encourage dipping and reference. Also included are sections on open problems in software theory and practice.
While little other than a novice programmer's knowledge is explicitly assumed, a certain conceptual maturity, either through commercial programming or academic training is required – each language is introduced and explained briefly as needed.
原價:
1200
售價:
305
現省:
895元
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MODELING AND SIMULATION BASED SYSTEMS ENGINEERING
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Modeling and simulation (M&S) based systems engineering (MSBSE) is the extension of MBSE, which enhances the value of MBSE and the ability of digitally evaluating and optimizing the whole system through comprehensive applications of M&S technologies. This book puts together the recent research in MSBSE, and hopefully this will provide the researchers and engineers with reference cases in M&S technologies to support the R&D of complex products and systems.
Sample Chapter(s)
Preface
Chapter 1: Introduction
Contents:
Introduction (Lin Zhang and Chun Zhao)
Using Modeling and Simulation and Artificial Intelligence to Improve Complex Adaptive System Engineering (Andrew Talk, Philip Barry and Steven C Doskey)
DEVS and MBSE: A Review (Bernard P Zeigler)
XDEVS: A Hybrid System Modeling Framework (Kunyu Xie, Lin Zhang, Yuanjun Laili and Xiaohan Wang)
An Integrated Intelligent Modeling and Simulation Language for Model-Based Systems Engineering (Lin Zhang, Fei Ye, Kunyu Xie, Pengfei Gu, Xiaohan Wang, Yuanjun Laili, Chun Zhao, Xuesong Zhang, Minjie Chen, Tinggu Lin and Zhen Chen)
Modeling for Heterogeneous Objects Based on X Language: A Modeling Method of Algorithm-Hardware (Yue Liu and Chun Zhao)
Data-Driven Modeling Method with Reverse Process (Guodong Yi, Lifan Yi, Zaizhao Zhang and Chuihui Li)
Simulation-Oriented Model Reuse in Cyber-Physical Systems: A Method Based on Constrained Directed Graph (Wenzheng Liu, Heming Zhang, Chao Tang, Shuangfei Wu and Hongguang Zhu)
Model Maturity Towards Modeling and Simulation: Concepts, Index System Framework and Evaluation Method (Lin Zhang, Ying Liu, Yuanjun Laili and Weicun Zhang)
FPGA-Based Edge Computing: Task Modeling for Cloud-Edge Collaboration (Chuan Xiao and Chun Zhao)
Hybrid Intelligent Modeling Approach for Online Predicting and Simulating Surface Temperature of HVs (Ming Tie, Hong Fang, Jianlin Wang and Weihua Chen)
Knowledge-Driven Material Design Platform Based on the Whole-Process Simulation and Modeling (Gongzhuang Peng, Tie Li, Xiang Zhai, Wenzheng Liu and Heming Zhang)
A Model Validation Method Based on the Orthogonal Polynomial Transformation and Area Metric (Huan Zhang, Wei Li, Ping Ma and Ming Yang)
A Mixed Reality Simulation Evaluation Method for Complex System (Lijun Wang, Yang Xue, Yi Lv, Yufen Wu, Dawei Wang and Shuhong Xu)
Readership: Graduate students, engineers and researchers specializing in the fields of System Engineering.
原價:
3028
售價:
2877
現省:
151元
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MODELING AND SIMULATION FOR COLLECTIVE DYNAMICS
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The thematic program Quantum and Kinetic Problems: Modeling, Analysis, Numerics and Applications was held at the Institute for Mathematical Sciences at the National University of Singapore, from September 2019 to March 2020. Leading experts presented tutorials and special lectures geared towards the participating graduate students and junior researchers.
Readers will find in this significant volume four expanded lecture notes with self-contained tutorials on modeling and simulation for collective dynamics including individual and population approaches for population dynamics in mathematical biology, collective behaviors for Lohe type aggregation models, mean-field particle swarm optimization, and consensus-based optimization and ensemble Kalman inversion for global optimization problems with constraints.
This volume serves to inspire graduate students and researchers who will embark into original research work in kinetic models for collective dynamics and their applications.
Sample Chapter(s)
Foreword
Chapter 4: Consensus-based Optimization and Ensemble Kalman Inversion for Global Optimization Problems with Constraints
Contents:
Foreword
Preface
Individual and Population Approaches for Calibrating Division Rates in Population Dynamics: Application to the Bacterial Cell Cycle (Marie Doumic and Marc Hoffmann)
Collective Dynamics of Lohe Type Aggregation Models (Seung-Yeal Ha and Dohyun Kim)
Mean-field Particle Swarm Optimization (Sara Grassi, Hui Huang, Lorenzo Pareschi and Jinniao Qiu)
Consensus-based Optimization and Ensemble Kalman Inversion for Global Optimization Problems with Constraints (José Antonio Carrillo, Claudia Totzeck and Urbain Vaes)
Readership: Graduate students and researchers in computational and applied mathematics, mathematical biology, mathematical modeling, computational science and engineering.
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