C++ Algorithm Series: Dynamic Programming Technics Publications, 2019 Know the basics of C++ and want to further sharpen your skills? Then follow along with C++ expert Advait Jayant in this next course in the C++ Algorithm Series, and master Dynamic Programming (DP). If you need to first develop a fundamental knowledge of C++, watch this excellent video on C++ . Also here are all of Advait Jayant's highly-rated videos on O'Reilly, including the full C++ Algorithm Series . The following six topics will be covered through a combination of lecture and hands-on to further your knowledge of dynamic programming in C++: Dynamic Programming Overview and the Top Down Approach . This first topic in the C++ Dynamic Programming course explains in detail the concept of dynamic programming. Follow along with Advait in this hands-on session, and apply dynamic programming to creating the Fibonacci Series in C++. Also practice the top down approach in C++ to dynamic programming using the Memoization optimization technique. Bottom Up Approach to Dynamic Programming . This second topic in the C++ Dynamic Programming course explains how to apply the bottom up approach to Dynamic Programming. Follow along with Advait in this hands-on session and apply dynamic programming to creating the Fibonacci Series using the bottom up approach in C++. One-Dimensional Approach to Dynamic Programming . This third topic in the C++ Dynamic Programming course explains how to apply the one-dimensional approach to Dynamic Programming. Follow along with Advait in this C++ hands-on session. Dynamic Programming in Practice: The Wine Problem . This fourth topic in the C++ Dynamic Programming course explains how to apply the two-dimensional approach in Dynamic Programming. Follow along with Advait in this hands-on session and solve the Wine Problem (a challenge in maximizing profit) using a combination of the bottom up approach and the Memoization optimization technique in C++. Dynamic Programming in Practice: The Grid Problem . This fifth topic in the C++ Dynamic Programming course explains how to apply dynamic programming to the Grid Problem. Follow along with Advait in this hands-on session and solve the Grid Problem using the bottom up approach in C++. Dynamic Programming in Practice: The Rod Cutting Problem . This sixth topic in the C++ Dynamic Programming course explains how to apply dynamic programming to the Rod Cutting Problem. Follow along with Advait in this hands-on session and solve the Rod Cutting Problem using dynamic programming in C++. |
