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Understanding the Formulation of Hypothesis and Research Problem Definition

Research problems arise from situations requiring solutions, faced by individuals, groups, organizations, or society. Researchers define research problems through questions or issues they aim to answer or solve. Various sources such as intuitions, research studies, brainstorming sessions, and consul

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Understanding The Simplex Method for Linear Programming

The simplex method is an algebraic procedure used to solve linear programming problems by maximizing or minimizing an objective function subject to certain constraints. This method is essential for dealing with real-life problems involving multiple variables and finding optimal solutions. The proces

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Linear Programming Models for Product-Mix Problems and LP Problem Solutions

This unit covers the formulation of linear programming (LP) models for product-mix problems, including graphical and simplex methods for solving LP problems along with the concept of duality. It also delves into transportation problems, offering insights into LP problem resolution techniques.

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Introduction to Mathematical Programming and Optimization Problems

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Understanding Scrypt: Maximally Memory-Hard Functions

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Multiple Sequence Alignment (MSA) poses a significant challenge due to NP-hard problems, large datasets, and the lack of accuracy in current methods. Novel techniques are needed to address scalability and accuracy issues in MSA, which serves multiple purposes like phylogeny estimation and structure

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Understanding and Treating Sleep Problems in Children with Autism

Sleep problems in children with autism are viewed as skill deficits that can be addressed through relevant skills teaching. Good sleep is crucial for children's overall well-being, as it affects mood, behavior, learning, and physical health. Lack of good sleep can lead to irritability, fatigue, unin

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Computational Complexity and NP-Complete Problems

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Automatically Generating Algebra Problems: A Computer-Assisted Approach

Computer-assisted refinement in problem generation involves creating algebraic problems similar to a given proof problem by beginning with natural generalizations and user-driven fine-tuning. This process is useful for high school teachers to provide varied practice examples, assignments, and examin

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Fermi Problems and Estimation Techniques in Science

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Greedy Algorithms and Optimization Problems Overview

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Understanding Signatures, Commitments, and Zero-Knowledge in Lattice Problems

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Understanding Decision Problems in Polynomial Time Complexity

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Understanding Optimization Problems in Complexity Theory

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Theory of Computation: Decidability and Encoding in CSE 105 Class

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Insights into NP-Hard Problems in Molecular Biology and Genetics

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Understanding P, NP, NP-Hard, NP-Complete Problems and Amortized Analysis

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Combinatorial Optimization in Integer Programming and Set-Cover Problems

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Understanding NP-Hard Problems and NP-Completeness

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