Computers use algorithms to convert data (e.g., converting decimal into binary). Google's search uses the PageRank algorithm to sort searched results. Encryption to encrypt and decrypt information and ...

Algorithm analysis and design is a process by which computer scientists and engineers develop efficient, effective, and reliable algorithms to solve specific problems. This process involves breaking ...

When tackling algorithm design and analysis, you're engaging in a complex form of problem-solving that requires a specific set of skills. Algorithms are step-by-step procedures for calculations ...

In particular, multi-objective evolutionary algorithms (MOEAs) are popular and have been actively studied over the last two decades. However, since it is not easy to directly display and compare multi ...

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

Algorithms need clear and formal representations to be implemented as computer programs. The Object-Process Methodology (OPM) has been shown to successfully describe the structure and behavior of ...

This paper presents a unified representation of fast addition algorithms based on Counter Tree Diagrams (CTDs). By using CTDs, we can describe and analyze various adder architectures in a systematic ...

Important themes that will be developed in the course include the algorithmic abstraction-design-analysis process and computational tractability (e.g., NP-completeness). This course fulfills the ...

In computing, algorithms are needed to design computer programs. is a logical, step-by-step process for solving a problem. Algorithm production is part of algorithmic thinking, an important ...