Using Present Value Formulas to value Known Flows The Basic Building Blocks: Pure Discount Bonds Coupon Bonds, Current Yield, and Yield-To-Maturity Reading Bond Listings Why Yields for the Same Maturity Differ The Behavior of Bond Prices over Time
1 Introduction 2 Deterministic Dynamic Programming and Viscosity Solutions 2.1 Introduction 2.2 Value Functions are Viscosity Solutions 2.3 Comparison and Uniqueness 3 Stochastic Control 3.1 Some Probability Theory 3.2 Controlled State Space Models 3.3 Filtering 3.4 Dynamic Programming - Case I : Complete State Information 3.5 Dynamic Programming - Case II : Partial State Information 3.6 Two Continuous Time Problems 4 Robust Control 4.1 Introduction and Background 4.2 The Standard Problem of H∞ Control 4.3 The Solution for Linear Systems 4.4 Risk-Sensitive Stochastic Control and Robustness 5 Optimal Feedback Control of Quantum Systems 5.1 Preliminaries 5.2 The Feedback Control Problem 5.3 Conditional Dynamics 5.4 Optimal Control 5.5 Appendix: Formulas for the Two-State System with Feedback Example 6 Optimal Risk-Sensitive Feedback Control of Quantum Systems 6.1 System Model
• 6.1 Exponential pipe-friction formulas • 6.2 Single pipes • 6.3 Hydraulic and energy grade lines • 6.4 The siphon • 6.5 Pipes in series • 6.6 Pipes in parallel • 6.7 Networks of pipes
《数字信号处理》教学参考资料（Numerical Recipes in C，The Art of Scientific Computing Second Edition）Chapter 04.1 Integration of Functions 4.1 Classical Formulas for Equally Spaced Abscissas
§2.1. Functions of a Complex Variable §2.2. Mappings §2.3. The Exponential Function and its Mapping Properties §2.4. Limits §2.5. Theorems on Limits §2.6. Limits Involving the Point at Infinity §2.7. Continuity §2.8. Derivatives §2.9. Differentiation Formulas §2.10. Cauchy-Riemann Equations §2.11. Necessary and Sufficient Conditions for Differentiability §2.12. Polar Coordinates §2.13. Analytic Functions §2.14. Examples §2.15. Harmonic Functions
