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Algorithm Concepts Time Complexity and Optimization

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Computer Science - Algorithms

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charlotte1oxhi Created by 1 yr ago

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Cards in this deck(15)
A finite set of well-defined instructions designed to perform a task or solve a specific problem.
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Measures how the execution time of an algorithm grows with the size of input.
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Assesses the memory required during the execution of an algorithm.
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Enables efficient retrieval of information in algorithms.
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An algorithm that provides solutions to resource allocation and scheduling challenges.
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Strategies used by algorithms like divide-and-conquer, recursion, or iteration.
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Incorporates elements of randomness to achieve simplicity or faster execution.
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A type of algorithm that leverage multiple processors to execute tasks simultaneously.
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Provides near-optimal solutions for problems that are computationally expensive or intractable.
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The theoretical foundation of algorithms is deeply connected to this.
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Explores the limits of what algorithms can achieve in computational theory.
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Specialized algorithms used in the rise of machine learning.
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These algorithms drive the extraction of insights from large datasets in data science.
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Quantum algorithm promising exponential speed-ups for specific tasks.
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Algorithmic technique used to plan motion and enable autonomous navigation in robotics.
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