1 Introduction 2 Deterministic Dynamic Programming and Viscosity Solutions 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 6.2 Risk-Neutral Optimal Control 6.3 Risk-Sensitive Optimal Control 6.4 Control of a Two Level Atom 6.5 Control of a Trapped Atom
Outline Introduction People, Product, Process, and Project What is a Project? What is Project Management? How Project Management Relates to Other Disciplines History of Project Management
14.1 INTRODUCTION 14.2 WHAT IS DATA 14.3 DESCRIBING VARIABLES 14.4 THE CONCEPT OF A STATISTICAL DISTRIBUTION 14.5 SUMMARY 14.6 THE NATURE OF A SAMPLE 14.8 DESCRIBING SAMPLE DATA 14.7 DATA ANALYSIS USING SAMPLE DATA 14.9 INVESTIGATING RELATIONSHIPS BETWEEN VARIABLES