 S1. Filters: devices of signal processing  Classic Filter  Optimal Filter  Adaptive Filter  S2. Adaptive filtering applications  S3. Stochastic processes  Partial characteristic: Autocorrelation Matrix (ACM)  PSD  Linear parametric model  S4. Mean Square Information Space

Theory Particle model Transmission Line model Effective Medium model Applications

have attempted to test Porters theory of generIc strategy and link it to performance, but the results vary. Simlarly, it is easy to believe that a firm cannot be successful without certain resources and/or apabilities Efforts have been made to test the resource-based theory and to ue capabilities to firm performance, again with varying results These two theories and related research streams have

第一部分 算法篇 第一章 最优化问题与数学基础 第二章 线性规划和单纯形方法 第三章 对偶线性规划 第四章 无约束最优化计算方法 第五章 约束最优化方法 第六章 直接搜索方法 第二部分 应用篇 2.1 单纯形算法 2.2 修正单纯形算法 3.1 对偶单纯形算法 4.1 下降迭代算法 4.2 黄金分割算法..... 4.3 两点三次插值算法.... 4.4 模式算法....... 4.5 最速下降算法 4.6 牛顿算法 4.7 FR共轭梯度算法 4.8 SR1算法 4.9 DFP算法 4.10 信赖域算法 5.1外点（罚函数）法

According to the evolutionary theory of sleep, evolution equipped us with a regular pattern of sleeping and waking for the same reason. The theory does not

Eco514 Game Theory Lecture 15: Sequential Equilibrium Marciano Siniscalchi November 11, 1999 Introduction The theory of extensive games is built upon a key notion, that of sequential rationality, and a key insight, the centrality of off-equilibrium beliefs. The definition of sequential equilibrium

Eco514Game Theory Lecture 3: Nash Equilibrium Marciano Siniscalchi September 23, 1999 Introduction Nash equilibrium has undoubtedly proved to be the most influential idea in game theory. enabled fundamental breakthroughs in economics and the social sciences. Its development was a major intellectual achievement; what is perhaps more important, it Recent foundational research has emphasized the subtleties in the interpretation of Nash

Eco514 Game Theory Lecture 12: Repeated Games(1) Marciano Siniscalchi October 26, 1999 Introduction [By and large, I will follow OR, Chap. 8, so I will keep these notes to a minimum.] The theory of repeated games is double-edged sword. On one hand, it indicates how payoff profiles that are not consistent with Nash equilibrium in a simultaneous-move game might be achieved when the latter is played repeatedly, in a manner consistent with Nash or

⚫ Combinatorics (组合) ⚫ Basic Counting Techniques ⚫ Recurrence Relations ⚫ Binomial Coefficients ⚫ Number Theory ⚫ Prime Number ⚫ Congruences ⚫ Fermat’s Theorem ⚫ Euler’s Theorem

Introduction to Markov Chain Monte Carlo Charles J. Geyer • History • Markov Chains • Intuitions of MCMC • Elementary Theory of MCMC • The Metropolis-Hastings-Green Algorithm MCMC using Hamiltonian dynamics Radford M. Neal • History • Hamiltonian Dynamics • MCMC from Hamiltonian dynamics • HMC in practice and theory • Extensions of and Variations on HMC