PPT-Chapter 11 Dynamic Programming

Dynamic Programming Dynamic programming is a useful mathematical technique for making a sequence of interrelated decisions It provides a systematic procedure for determining the optimal combination of decisions. Dynamic Programming. 11.1 A Prototype Example for Dynamic Programming. The stagecoach problem. Mythical fortune-seeker . travels . West by stagecoach to join the gold rush in the mid-1900s. The origin . ". Thus, I thought . dynamic programming . was a good name. It was something not even a Congressman could object to. So I used it as an umbrella for my . activities". - Richard E. Bellman. Origins. A method for solving complex problems by breaking them into smaller, easier, sub problems. 1. Lecture Content. Fibonacci Numbers Revisited. Dynamic Programming. Examples. Homework. 2. 3. Fibonacci Numbers Revisited. Calculating the n-. th. Fibonacci Number with recursion has proved to be . The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand Basic Algorithm Design Techniques. Divide and conquer. Dynamic Programming. Greedy. Common Theme: To solve a large, complicated problem, break it into many smaller sub-problems.. Dynamic Programming. Presentation for use with the textbook, . Algorithm Design and Applications. , by M. T. Goodrich and R. Tamassia, Wiley, 2015. Application: DNA Sequence Alignment. DNA sequences can be viewed as strings of .