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Lecture
Algorithm Design: Time Complexity Analysis
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Related lectures (22)
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Algorithmic Complexity: Theta Notation
Explores algorithmic complexity, comparing growth rates using Theta notation and characterizing different complexity classes.
Complexity of Algorithms
Explores algorithm complexity, analyzing efficiency and worst-case scenarios of sorting algorithms.
Factoring Polynomials: Complexity and Algorithms
Delves into the complexity of factoring polynomials and the implications for security.
Exam Preparation: Instructions and Advice
Discusses exam instructions, technical requirements, and the importance of thorough preparation.
Introduction to ISA
Covers the components of a processor, ISA classifications, specific ISAs like MIPS, assembly language examples, and the importance of machine instruction regularity.
Algorithm Complexity Analyses
Covers the complexity analyses of algorithms and their worst-case time complexities.
Linear Algebra: Efficiency and Complexity
Explores constraints, efficiency, and complexity in linear algebra, emphasizing convexity and worst-case complexity in algorithm analysis.
Interpreting Drawings and Project Discussion
Delves into Leonardo's automaton, programming concepts, evolution of automata, and experiments on light refraction.
Types of Drawings: Functions and Process
Discusses the functions and importance of drawings in the design and construction process, emphasizing detailed plans and standards.
Computation & Algorithms II: Sorting and Recursive Algorithms
Explores sorting and recursive algorithms, including complexity analysis, maximal value, and binary search.
