An illustration of a magnifying glass. An illustration of a magnifying glass.

Dynamic Programming is a paradigm of algorithm design in which an optimization problem is solved by a combination of achieving sub-problem solutions and appearing to the "principle of optimality".

Abstract: When designing electronic circuits, we often need to solve discrete optimization problems. One of the basic methods for solving such problems is the method of dynamic programming. The paper ...

ABSTRACT: We consider the energy minimization problem for a two-cell broadcasting system, where the focus is devising energy efficient joint power control and scheduling algorithms. To improve the ...

College of Information Science and Engineering, Northeastern University, Shenyang 110819, China. School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510006, China.

Dynamic programming is a method frequently applied to optimization problems, problems where we are looking for the best solution to a problem. A famous example of an optimization problem is the ...

The unbounded knapsack problem: given a knapsack of some capacity and a set of items that have a weight and a value, determine the maximum value of items you can place in your knapsack. The number of ...