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This document outlines the approach to analyze voting records of senators in the 109th congress, focusing on comparing their votes against Ted Kennedy's. It discusses data location, creating data
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How to fill out Formulation of A Computational Problem

01
Identify the problem domain and clearly state the problem you want to solve.
02
Gather relevant data and information that pertain to the problem.
03
Break down the problem into smaller, manageable components or sub-problems.
04
Define the objectives and goals you want to achieve with your computational solution.
05
Select appropriate algorithms or computational methods that can be used to tackle the problem.
06
Consider any constraints or limitations that may affect your solution.
07
Draft a formal description of the problem, including all the previous elements.

Who needs Formulation of A Computational Problem?

01
Researchers conducting computational studies.
02
Students studying computer science or related disciplines.
03
Software engineers working on algorithm development.
04
Data analysts looking to solve complex data-related issues.
05
Professionals in industry applying computational methods to solve real-world problems.
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Formulation of a computational problem involves defining the problem statement, constraints, and requirements necessary to devise a computational solution.
Researchers, developers, and teams working on computational projects or algorithms are typically required to file a formulation of the computational problem.
To fill out the formulation, clearly articulate the problem, outline the input and output specifications, identify constraints, and describe the desired outcomes of the computational solution.
The purpose is to ensure a clear understanding of the problem, guiding the development of effective solutions and facilitating communication among stakeholders.
The report must include the problem description, objectives, constraints, assumptions, input and output formats, and any relevant examples or test cases.
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