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Lecture
Binary Numbers: Representation and Complexity
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Number Representation and Algorithms
Explores number representation, algorithms, recursion, and probabilities in decimal and binary.
Number Systems: Fixed and Floating-Point Representations
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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