PPT-Dynamic Programming a cademy.zariba.com

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 . 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.. ". 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. a. cademy.zariba.com. Overview Lecture. 1. Lecture Content. About . Zariba. Zariba. Academy. 2. About . Zariba. 3. Zariba. was founded in 2007 by . Radostin. . Petrov. and . Galin. . Dinkov. .. Galin. 1. Lecture Content. What . is Phaser?. Why Phaser?. Phaser Pros and Cons. Phaser Resources. Sample Template in . WebStorm. (TS). Introduction to Phaser with Examples. 2. 3. What is Phaser. ?. Phaser is an open-source . Module. Overview Lecture. 1. Lecture Content. Lecturers. Lectures Overview. Evaluation. Timeline. 2. Lecturer. 3. Martin . Antonov. Co-Founder and Game Designer at Fractal Games. Founder of . YoYoBulgaria. a. cademy.zariba.com. 1. Lecture Content. What software do you need?. What is programming?. Creating your first C# program. 4. Homework. 2. What Software do you need?. 3. Google . Account (Google Drive mostly). 1. Lecture Content. What is HTML?. The HTML Tag. Most popular HTML tags. 2. 3. What is HTML?. HTML – . Hyper Text Markup Language. Describes the document . structure. and . formatting. You can think of HTML page as a . 1. Lecture Content. Game Design and Specification (brief). Material that will be covered. Texture Packer and Game Assets. Creating the Project. 2. 3. Game Design and Specification. Cow Vs Butcher. is a simple 2D platformer where our sweet cow battles with butchers, saws, barbeques, electrified walls and much more. . 1. Lecture Content. OOP in JavaScript (or the lack of it). Simple Class in JavaScript. String Prototype Example. Inheritance in JavaScript. 2. 3. OOP in JavaScript (or the lack of it). OOP means the application is constructed as a set of . 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 . VINAY ABHISHEK MANCHIRAJU. SCOPE. Apply dynamic . programming to gene finding and other bioinformatics problems. .. Power of DNA Sequence Comparison. A revisit to the Change Problem. The Manhattan Tourist Problem.