Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) ...

This is the skeleton code for Algorithms and Analysis COSC2123/3119 - Dynamic Programming in Action: The Knapsack-Maze Challenge. Across multiple tasks in this assignment, you will design and ...

This repository contains programs, notes, and examples for Design and Analysis of Algorithms (DAA). It covers key techniques such as divide and conquer, greedy, dynamic programming, backtracking, and ...

Dynamic programming algorithms are developed for optimal capital allocation subject to budget constraints. We extend the work of Weingartner [17] and Weingartner and Ness [19] by including multilevel ...

Abstract: We propose a novel computing approach, dubbed “Race Logic”, in which information, instead of being represented as logic levels, as is done in conventional logic, is represented as a timing ...

This is a preview. Log in through your library . Abstract The multi-item joint replenishment problem is generalized to allow ordering costs to be dependent on the specific items jointly supplied. A ...