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Lecture
Floating Point Numbers: Extended Precision
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Digital Systems: Fixed and Floating Point Arithmetic
Discusses fixed and floating-point arithmetic in digital systems, covering representations, operations, and rounding techniques.
Number Systems: Fixed and Floating Point Representations
Discusses fixed-point and floating-point number representations in digital systems, highlighting their structures, advantages, and applications in computing.
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Discusses the representation of real numbers in various bases and the implications of floating-point arithmetic.
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Covers the representation of real numbers in a computer using floating point representation and the dangers of significant digit cancellation.
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Explores floating point numbers, their representation, precision, and associated errors.
Floating Point Numbers: Representation and Errors
Covers the representation of floating point numbers and the importance of uniform relative error.
Floating Point Representation: Consequences for Programming
Explores the consequences of floating-point representation errors in programming, emphasizing precision and computational costs.
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Explores the representation of information, rounding errors, and image encoding.
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Explores number representation in computers and bitwise operators for practical programming applications.
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Discusses the binary representation of real numbers and the precision errors involved.