Significant figures

Formal sciences
Mathematics
Analysis
Numerical analysis

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Related lectures (9)

Floating Point Numbers: Representation and Errors

Explores the representation of floating point numbers and the importance of error analysis.

Uncertainty and Significant Figures

Explains confidence intervals, margin of error, pivots, and significant figures in statistical estimation.

Python Complement: Numpy, Scipy, Matplotlib

Covers advanced Python topics like numpy operations, scipy linear algebra, and matplotlib for creating figures.

Introduction to Matplotlib

Introduces matplotlib for 2D graphic representation and data visualization with numpy.

Approximations in Engineering Calculations

Explores the significance of approximations in engineering calculations, showcasing historical tools like slide rules and demonstrating approximation techniques with simple algebraic examples.

Floating Point Representation in Computers

Covers the representation of real numbers in a computer using floating point representation and the dangers of significant digit cancellation.

Review of Significant Figures

Covers the review of significant figures and their importance in error estimation.

Floating Point Numbers: Representation and Errors

Covers the representation of floating point numbers and the importance of uniform relative error.

Computer Arithmetic: Floating Point Numbers

Explores computer arithmetic, emphasizing fixed-point and floating-point numbers, IEEE 754 standard, dynamic range, and floating-point operations in MIPS architecture.

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