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Autor Tópico: C++ Algorithm Series Dynamic Programming  (Lida 270 vezes)

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C++ Algorithm Series Dynamic Programming
« em: 07 de Agosto de 2019, 15:22 »

C++ Algorithm Series: Dynamic Programming
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 14M | 354 MB
Genre: eLearning | Language: English

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++.
       

               

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