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Related lectures (25)
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Floating Point Numbers: Representation and Errors
Introduces floating point number representation, round-off errors, and their impact on numerical computations.
Information Representation: Real Numbers and Errors
Explores the representation of real numbers, errors, and precision in information.
Floating Point Numbers: Representation and Errors
Covers the representation of floating point numbers and the importance of uniform relative error.
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Nonlinear Equations: Representation of Real Numbers
Discusses the representation of real numbers in various bases and the implications of floating-point arithmetic.
Floating Point Numbers: Representation and Errors
Explores floating point numbers, their representation, precision, and associated errors.
Logic Systems: Arithmetic Operations
Covers classic pen-and-paper methods for arithmetic operations and binary representations of numbers.
Floating Point Representation: Consequences for Programming
Explores the consequences of floating-point representation errors in programming, emphasizing precision and computational costs.
Floating Point Numbers: Representation and Errors
Explores the representation of floating point numbers and the importance of error analysis.
Mixed Protocol Framework for Machine Learning
Presents ABY3, a framework for secure machine learning computations.