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⚙️AlgorithmIntermediate

Numerical Differentiation & Finite Differences

Numerical differentiation uses finite differences to estimate derivatives when an analytical derivative is hard or impossible to obtain.

#numerical differentiation#finite differences#forward difference+12
∑MathIntermediate

Numerical Stability

Numerical stability measures how much rounding and tiny input changes can distort an algorithm’s output on real computers using floating-point arithmetic.

#numerical stability
Intermediate
Advanced
Filtering by:
#machine epsilon
Group:
Numerical Methods
#forward error
#backward error
+12
∑MathIntermediate

Floating Point Arithmetic

Floating-point numbers approximate real numbers using a fixed number of bits following the IEEE 754 standard.

#ieee 754#floating point#machine epsilon+10