PROGRAMMING TUTORIAL
Optimize your code using some simple techniques
Dynamic programming is an art, the more problems you solve easier it gets.
Sometimes when you write code it might take some time to execute or it may never run even if your logic is fine. The same problem occurred to me while solving Google Foobar challenge questions and I realized that the solution was not optimized and was using all available RAM (for large values).
An entirely different approach is required to solve such kinds of problems i.e. “optimization of code” by following the concept of dynamic programming.
Dynamic programming is a terrific approach that can be applied to a class of problems for obtaining an efficient and optimal solution.
In simple words, the concept behind dynamic programming is to break the problems into sub-problems and save the result for the future so that we will not have to compute that same problem again. Further optimization of sub-problems which optimizes the overall solution is known as optimal substructure property.
Two ways in which dynamic programming can be applied:
