Despite growing interest in robotics, many manufacturers are held back by programming that is complex, time-consuming, and ...

Protein sequence alignment is basic operation mostly used in protein sequence analysis. The most optimal algorithm used in sequence alignment is based on the dynamic programming method. Smith-Waterman ...

LeetCode is super important for coding interviews because lots of big tech companies use its style of problems. Getting good ...

LeetCode isn’t a sprint; it’s a marathon. You won’t become a coding master overnight. It takes time, effort, and, most ...

Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...

Research team proposed new data placement algorithms for scratch-pad memory (SPM) in embedded systems. Their fine-grained and multi-granularity ...

We propose a model-based optimization approach for the integration of production scheduling and dynamic process operation for general continuous/batch processes. The method introduces a discrete time ...

This paper is concerned with a new discrete-time policy iteration adaptive dynamic programming (ADP) method for solving the infinite horizon optimal control problem of nonlinear systems. The idea is ...

Implements a simulation-based dynamic programming framework for optimal portfolio allocation over multiple periods. Combines analytical solutions with approximate methods under CRRA and log utility, ...