城市交通网络中的随机混合均衡行为建模，赵晖，高自友，本文研究了随机系统中同时包含竞争行为与合作行为的混合交通平衡。在目标系统中，同时考虑三类不同性质的局中人，即具有随机用户

三维大气海洋原始方程解在有限时间爆破，王术，郑琳，本文研究了无粘的三维大气海洋原始模型的解在有限时间内爆破的问题。通过构造特解的方法来简化三维模型,然后找到推导出来的简化�

有限厚垒应变纤锌矿AlGaN/GaN异质结中的电子迁移率及其压力效应，武维，班士良，基于力平衡方程，考虑界面和半空间模光学声子对电子的散射，讨论室温及高于室温下，有限厚垒应变纤锌矿氮化物AlGaN/GaN异质结中的电

解一维二阶双曲方程的一个新型四阶紧致差分格式，丁恒飞，张玉新，在本文中，我们提出了一个解一维二阶非齐次线性双曲方程的新型四阶紧致差分格式，且给出了其稳定性分析，最后，数值例子验证了此

ethod while keeping a balanced approach between its mathematical formulation, programming implementation and as its application using commercial software. The computer implementation is carried out using MATLAB, while the practical applications are carried out in both MATLAB and Abaqus. MATLAB is a high-level language specially designed for dealing with matrices, making it particularly suited for programming the finite element method. In addition, it also allows the reader to focus on the finite element method by alleviating the programming burden. Experience has shown that books that include programming examples that can be implemented are of benefit to beginners. This book also includes detailed step-by-step procedures for solving problems with Abaqus interactive and keyword editions.

This book is an outgrowth of lectures in Mathematics 240, "Applied Stochastic Processes," which I have taught a number of times at Duke University. The majority of the students in the course are graduate students from departments other than mathematics, including computer science, economics, business, biological sciences, psychology, physics, statistics, and engineering. There have also been graduate students from the mathematics department as well as some advanced undergraduates. The mathematical background of the students varies greatly, and the particular areas of stochastic processes that are relevant for their research also vary greatly.

《空间谱估计理论与算法》ch5 《阵列信号处理及Matlab实现》ch4 用的求解函数是《空间谱》ch5中的表达形式 可成功运行

Reusable Firmware Development A Practical Approach to APIs, HALs and Drivers 英文epub 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries. A new section (3.7) on COMPOUND RANDOM VARIABLES, that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions. A new section (4.11) on HIDDDEN MARKOV CHAINS, including the forward and backward approaches for computing the joint probability mass function of the signals, as well as the Viterbi algorithm for determining the most likely sequence of states. Simplified Approach for Analyzing Nonhomogeneous Poisson processes Additional results on queues relating to the (a) conditional distribution of the number found by an M/M/1 arrival who spends a time t in the system,; (b) inspection paradox for M/M/1 queues (c) M/G/1 queue with server breakdown Many new examples and exercises.

C Programming A Modern Approach, 2nd Edition(Part 2)