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COMP 372 introduces the fundamental techniques for designing and analyzing algorithms. These include asymptotic notation and analysis, divide-and-conquer algorithms, dynamic programming, greedy ...

View on Coursera Course Description. This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving ...

Abstract: An algorithm is presented for determining an approximate solution of a large class of discrete linear programming problems, and an upper bound on the profit loss due to the approximation is ...

This paper studies an online adaptive dynamic programming (ADP) algorithm for linear fixed-time impulse systems. The ADP algorithm follows the value iteration method, updating the value approximation ...

Before diving into complex algorithms, ensure you have a firm grasp of programming fundamentals. Understanding data structures such as arrays, lists, stacks, and queues is crucial as they are the ...

The computational protein design problem or the side-chain positioning problem is a central part in computational methods for predicting protein structure and designing protein sequences. However, the ...