PPT-Dynamic Programming Hidden Parameters and on Trees

CSE 417 22AU Lecture 15 Plan For This Week Today Ill walk through 2 more examples with you and maybe a little history Wednesday Practice Day its hard to learn just by watching well have you work through a problem or two in full detail. Daniel Trugman. , July . 2013. 2D Rough-Fault Dynamic Simulations. Homogenous background stress + complex fault geometry . . heterogeneity in tractions. Eliminates important source of uncertainty: fault geometry is a direct observable. 15 . Section . 3 . – . 4. Hidden Markov . Models. Terminology. Marginal Probability: . Joint Probability: . Conditional Probability: .  . It get’s big!. Conditional independence. Or equivalently: . ". 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. Excel . Perspective. Dynamic . Programming From . An Excel . Perspective. Dynamic Programming. From An Excel Perspective. Ranette Halverson, Richard . Simpson. Catherine . Stringfellow. Department of Computer Science. ". 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. Originally the “Tabular Method”. Key idea:. Problem solution has one or more . subproblems. that can be solved recursively. The . subproblems. are overlapping. The same . subproblem. will get solved multiple times. 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 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 .