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  2. Negative log predictive density - Wikipedia

    en.wikipedia.org/wiki/Negative_log_predictive...

    It is used extensively in probabilistic modelling research. Examples include: - Candela, Joaquin Quinonero, et al. "Propagation of uncertainty in bayesian kernel models-application to multiple-step ahead forecasting."

  3. Logarithmic decrement - Wikipedia

    en.wikipedia.org/wiki/Logarithmic_decrement

    The logarithmic decrement can be obtained e.g. as ln(x 1 /x 3).Logarithmic decrement, , is used to find the damping ratio of an underdamped system in the time domain.. The method of logarithmic decrement becomes less and less precise as the damping ratio increases past about 0.5; it does not apply at all for a damping ratio greater than 1.0 because the system is overdamped.

  4. Negativity (quantum mechanics) - Wikipedia

    en.wikipedia.org/wiki/Negativity_(quantum_mechanics)

    The logarithmic negativity can be zero even if the state is entangled (if the state is PPT entangled).; does not reduce to the entropy of entanglement on pure states like most other entanglement measures.

  5. Catastrophic cancellation - Wikipedia

    en.wikipedia.org/wiki/Catastrophic_cancellation

    In the case of = for <, using the identity ⁡ = ⁡ avoids cancellation because () = but () = =, so the subtraction is effectively addition with the same sign which does not cancel. Example: Radix conversion

  6. Cancellation property - Wikipedia

    en.wikipedia.org/wiki/Cancellation_property

    In mathematics, the notion of cancellativity (or cancellability) is a generalization of the notion of invertibility.. An element a in a magma (M, ∗) has the left cancellation property (or is left-cancellative) if for all b and c in M, a ∗ b = a ∗ c always implies that b = c.

  7. LogSumExp - Wikipedia

    en.wikipedia.org/wiki/LogSumExp

    The convex conjugate of LogSumExp is the negative entropy. ... We can define a strictly convex log-sum-exp type function [7] by adding an extra argument set to zero:

  8. Shell integration - Wikipedia

    en.wikipedia.org/wiki/Shell_integration

    The shell method goes as follows: Consider a volume in three dimensions obtained by rotating a cross-section in the xy-plane around the y-axis. Suppose the cross-section is defined by the graph of the positive function f(x) on the interval [a, b]. Then the formula for the volume will be:

  9. Non-negative least squares - Wikipedia

    en.wikipedia.org/wiki/Non-negative_least_squares

    In mathematical optimization, the problem of non-negative least squares (NNLS) is a type of constrained least squares problem where the coefficients are not allowed to become negative. That is, given a matrix A and a (column) vector of response variables y , the goal is to find [ 1 ]