Game Development and Simulation with Unreal Technology explores the use of Unreal Engine 4 (UE4) for the development of real-time digital interactive contents to be used in computerized games or simulations. The engine is considered in three main iterations: from the basic use of the engine to build games and simulation content out of the box, to intermediate design of interactive content by building on the pre-supplied contents from the base engine, and through advanced implementations geared toward a comprehensive understanding of the power of the Unreal Engine. This is one of the first books on developing interactive content for games, entertainment, and simulation to cover the newly released UE4. Industry-level game concepts in level design, coding, and programming, networking, and multiplayer concepts are covered. The book presents beginner- through advanced-level concepts in designing and developing games with the Unreal Engine 4. It includes small/mid-scale projects developed as concept examples throughout the book, which can be used in more comprehensive and entertaining interactive computer simulations and games. The book is organized into three parts. Part 1 covers the basics of the unreal engine, including an overview of each subcomponent of the engine, an overview of the UE4 project templates, and the main features each provides. Part 2 delves into more advanced topics in the new UE4 material pipeline, including layered materials and different shading models. Part 3 walks you through the steps of building your own games with UE4. It also provides advanced coverage of Blueprint systems in UE4. Each chapter includes do-it-yourself extensions to the concept modules presented to solidify your understanding of the concepts and techniques. Exercises and summaries are also included at the end of each chapter to help take your understanding of Unreal Engine 4 to the next level. Table of Contents SECTION I Unreal Technology Basics: Introductory Development T

SOFA A Multi-Model Framework for Interactive Physical Simulation 英中对照 翻译版本 有目录

软件定义网络中的链接状态路由 创建一个模拟软件定义的网络并运行成本最低的路径Dijkstra的算法。 内容 描述 该项目旨在在小型自助流量网络上使用OpenFlow模拟SDN LSRouting和数据传递。 TestNet-用于使用实现OpenFlow协议的交换机创建和测试软件定义的网络。 网络是使用自定义拓扑预设创建的，其中每个交换机到交换机的链路都分配有权重。 LSRouting-使用Dijkstra的成本最低的路径算法执行链路状态路由。 该算法的结果用于配置网络中每个交换机中的流表条目。 安装指南 克隆存储库，在VM上安装Python软件包，然后运行run.py脚本。 查看详细的。

SPICE A Guide to Circuit Simulation and Analysis using pspice.pdf

OceanSurface：使用Tessendorf算法和OpenGL模拟的实时海洋表面

本文件包括： 1、基本的微机保护算法仿真程序（m文件）。 2、电力系统简单故障matlab仿真线路(simulink文件)。 3、程序参考课本（pdf）。

用matlab来写的光波传播的数值模拟，光学的好书，做科研的人可以参考一下

《Principles of Communication System Simulation with Wireless Aplications》书中附带的源代码，虽然可以在网上找到，但是链接不是那么好找。费了一番功夫，找出来给大家共享。 The hands-on, example-rich guide to modeling and simulating advanced communications systems. Simulation is an important tool used by engineers to design and implement advanced communication systems that deliver optimal performance. This book is a hands-on, example-rich guide to modeling and simulating advanced communications systems. The authors take a systems-level approach, integrating digital communications, channel modeling, coding, elementary statistical estimation techniques, and other essential facets of modeling and simulation. This is the first book to present complete simulation models built with MATLAB that can serve as virtual laboratories for predicting the impact of system design changes. Coverage includes: Role of simulation in communication systems engineering Simulation approaches and methodologies Signal and system representations, filter models, noise generation, Monte Carlo simulation, and postprocessing Advanced techniques for modeling and simulating nonlinear and time-varying systems Waveform level and discrete channel models Performance estimation via Monte Carlo simulation Semianalytic simulation techniques Variance reduction techniques Co-channel interference in wireless communication systems, and more The authors also present detailed case studies covering phase-locked loops, CDMA systems, multichannel nonlinear systems, as well as a start-to-finish simulation of an advanced cellular radio system. Prentice Hall Series in Communications Engineering & Emerging Technologies, Theodore S. Rappaport, Editor Support File(s) Prepared by: William H. Tranter Department of Electrical and Computer Engineering Virginia Tech - Mail Code 0350 Blacksburg, VA 24061 email: btranter@vt.edu Revision Dates: March, 20, 2004 June 14, 2004 The collection of folders contained herein provide the MATLAB source code for all progr

This book has two principal aims: to teach scientific programming and to introduce stochastic modelling. Stochastic modelling, indeed mathematical modelling more generally, is intimately linked to scientific programming because the numerical techniques of scientific programming enable the practical application of mathematical models to real-world problems. In the context of stochastic modelling, simulation is the numerical technique that enables us to analyse otherwise intractable models.

应用matlab仿真程序进行了mimo信道的仿真，包含两个matlab程序