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Double-precision floating-point format
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Numerical analysis
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Related lectures (27)
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Floating Point Representation: Consequences for Programming
Explores the consequences of floating-point representation errors in programming, emphasizing precision and computational costs.
Information Representation: Computation Module
Explores the representation of information, rounding errors, and image encoding.
Integer Representation: Positive Integers
Covers the representation of positive integers, binary notation, machine limitations, overflow, and floating-point representation.
Information Representation: Binary Representations
Explores binary information representation, efficiency, byte usage, and integer representation.
Associative Operations: Fundamentals
Covers associative and commutative operations in parallel programming, using mathematical examples and discussing challenges in preserving associativity.
Floating Point Numbers: Extended Precision
Explores the representation of numbers using extended floating point notation.
Floating point numbers
Covers the concept of floating point numbers and their representation in computer systems.