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Lecture
Binary Numbers: Representation and Complexity
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Related lectures (27)
Number Representation and Algorithms
Explores number representation, algorithms, recursion, and probabilities in decimal and binary.
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Discusses fixed-point and floating-point representations in digital systems, covering key concepts like precision, accuracy, and the IEEE 754 standard.
Information Representation: conventions and basics
Covers information representation, including universal representation, symbol and number representation, and the significance of the binary system.
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Number Systems: Fixed and Floating-Point Representations
Provides an overview of fixed-point and floating-point number representations in digital systems.
Algorithmic Complexity: Travel Time Analysis
Covers algorithmic complexity and travel time analysis, focusing on measuring the time taken by algorithms and evaluating their performance.
Graph Coloring: Random vs Symmetrical
Compares random and symmetrical graph coloring in terms of cluster colorability and equilibrium.
Nonlinear Equations: Representation of Real Numbers
Discusses the representation of real numbers in various bases and the implications of floating-point arithmetic.
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Transition to Smart Cities: Complexity and Interdependencies
Delves into the complexity and interdependencies of transitioning to smart cities, emphasizing the importance of a holistic approach.
Algorithmic Complexity: Definition and Examples
Explores algorithm correctness, worst-case complexity analysis, and efficiency comparison based on input size.
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Linear Systems: Convergence and Methods
Explores linear systems, convergence, and solving methods with a focus on CPU time and memory requirements.
Elements of computational complexity
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Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.
Improved Algorithm: Three-Color Parity Games
Introduces an improved algorithm for three-color parity games, focusing on progress measures, acceleration, and practical speed-up.
Graph Coloring: Theory and Applications
Covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring.
Logic Systems: Representations and Arithmetic
Explores representations, arithmetic, and limitations in logic systems, including place-value notation and binary arithmetic.
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