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  2. Type signature - Wikipedia

    en.wikipedia.org/wiki/Type_signature

    And in the disassembled bytecode, it takes the form of Lsome / package / Main / main:([Ljava / lang / String;) V. The method signature for the main() method contains three modifiers: public indicates that the main method can be called by any object. static indicates that the main method is a class method. void indicates that the main method has ...

  3. Cryptographic hash function - Wikipedia

    en.wikipedia.org/wiki/Cryptographic_hash_function

    The sender is required to find a message whose hash value begins with a number of zero bits. The average work that the sender needs to perform in order to find a valid message is exponential in the number of zero bits required in the hash value, while the recipient can verify the validity of the message by executing a single hash function.

  4. Wolfe conditions - Wikipedia

    en.wikipedia.org/wiki/Wolfe_conditions

    Each step often involves approximately solving the subproblem (+) where is the current best guess, is a search direction, and is the step length. The inexact line searches provide an efficient way of computing an acceptable step length α {\displaystyle \alpha } that reduces the objective function 'sufficiently', rather than minimizing the ...

  5. Method of moments (statistics) - Wikipedia

    en.wikipedia.org/wiki/Method_of_moments_(statistics)

    In statistics, the method of moments is a method of estimation of population parameters.The same principle is used to derive higher moments like skewness and kurtosis.. It starts by expressing the population moments (i.e., the expected values of powers of the random variable under consideration) as functions of the parameters of interest.

  6. Backtracking line search - Wikipedia

    en.wikipedia.org/wiki/Backtracking_line_search

    However, this condition is not sufficient on its own to ensure that the step size is nearly optimal, since any value of that is sufficiently small will satisfy the condition. Thus, the backtracking line search strategy starts with a relatively large step size, and repeatedly shrinks it by a factor τ ∈ ( 0 , 1 ) {\displaystyle \tau \,\in \,(0 ...

  7. Minimum-variance unbiased estimator - Wikipedia

    en.wikipedia.org/wiki/Minimum-variance_unbiased...

    In statistics a minimum-variance unbiased estimator (MVUE) or uniformly minimum-variance unbiased estimator (UMVUE) is an unbiased estimator that has lower variance than any other unbiased estimator for all possible values of the parameter.

  8. Fixed-point iteration - Wikipedia

    en.wikipedia.org/wiki/Fixed-point_iteration

    In numerical analysis, fixed-point iteration is a method of computing fixed points of a function.. More specifically, given a function defined on the real numbers with real values and given a point in the domain of , the fixed-point iteration is + = (), =,,, … which gives rise to the sequence,,, … of iterated function applications , (), (()), … which is hoped to converge to a point .

  9. Mill's methods - Wikipedia

    en.wikipedia.org/wiki/Mill's_Methods

    Symbolically, the method of concomitant variation can be represented as (with ± representing a shift): A B C occur together with x y z A± B C results in x± y z. ————————————————————— Therefore A and x are causally connected. Unlike the preceding four inductive methods, the method of concomitant ...