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Lecture
Floating Point Numbers: Representation and Errors
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Floating Point Numbers: LU Decomposition and Errors
Explores floating point numbers, LU decomposition, errors, and matrix properties.
Integer Representation: Positive Integers
Covers the representation of positive integers, binary notation, machine limitations, overflow, and floating-point representation.
Logic Systems: Arithmetic Operations
Covers classic pen-and-paper methods for arithmetic operations and binary representations of numbers.
Integers Representation: Sign vs. Two's Complement
Explores integer representation methods, comparing sign-and-magnitude with two's complement, and introduces fixed-point and floating-point representations.
Floating Point Numbers: LU Decomposition and Errors
Explores floating point numbers, LU decomposition, errors in numerical computations, and the impact of round-off errors.
Effect of Rounding Errors in Linear Systems
Explores the effect of rounding errors in solving linear systems using the LU factorization method.
Numerical Methods in Matlab
Covers derivation, integration, and simulation in Matlab, along with the representation of numbers and potential errors.
Information Representation: Binary Representations
Explores binary information representation, efficiency, byte usage, and integer representation.