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  2. Zero of a function - Wikipedia

    en.wikipedia.org/wiki/Zero_of_a_function

    In mathematics, a zero (also sometimes called a root) of a real-, complex-, or generally vector-valued function, is a member of the domain of such that () vanishes at ; that is, the function attains the value of 0 at , or equivalently, is a solution to the equation () =. [1]

  3. Commitment scheme - Wikipedia

    en.wikipedia.org/wiki/Commitment_scheme

    One can create a bit-commitment scheme from any one-way function that is injective. The scheme relies on the fact that every one-way function can be modified (via the Goldreich-Levin theorem) to possess a computationally hard-core predicate (while retaining the injective property). Let f be an injective one-way function, with h a hard-core ...

  4. Constant problem - Wikipedia

    en.wikipedia.org/wiki/Constant_problem

    Clearly, this means that n must have the value zero, and so a contradiction arises if one can show that in fact n is not zero. In many transcendence proofs, proving that n ≠ 0 is very difficult, and hence a lot of work has been done to develop methods that can be used to prove the non-vanishing of certain expressions.

  5. Markov decision process - Wikipedia

    en.wikipedia.org/wiki/Markov_decision_process

    Value iteration starts at = and as a guess of the value function. It then iterates, repeatedly computing V i + 1 {\displaystyle V_{i+1}} for all states s {\displaystyle s} , until V {\displaystyle V} converges with the left-hand side equal to the right-hand side (which is the " Bellman equation " for this problem [ clarification needed ] ).

  6. Rosenbrock function - Wikipedia

    en.wikipedia.org/wiki/Rosenbrock_function

    Plot of the Rosenbrock function of two variables. Here =, =, and the minimum value of zero is at (,). In mathematical optimization, the Rosenbrock function is a non-convex function, introduced by Howard H. Rosenbrock in 1960, which is used as a performance test problem for optimization algorithms. [1]

  7. Primitive recursive arithmetic - Wikipedia

    en.wikipedia.org/wiki/Primitive_recursive_arithmetic

    Here A, B, and C are any terms (primitive recursive functions of zero or more variables). Finally, there are symbols for any primitive recursive functions with corresponding defining equations, as in Skolem's system above. In this way the propositional calculus can be discarded entirely.

  8. Constant (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Constant_(mathematics)

    The derivative of a constant function is zero, as noted above, and the differential operator is a linear operator, so functions that only differ by a constant term have the same derivative. To acknowledge this, a constant of integration is added to an indefinite integral ; this ensures that all possible solutions are included.

  9. Constant function - Wikipedia

    en.wikipedia.org/wiki/Constant_function

    An example of a constant function is y(x) = 4, because the value of y(x) is 4 regardless of the input value x. As a real-valued function of a real-valued argument, a constant function has the general form y(x) = c or just y = c. For example, the function y(x) = 4 is the specific constant function where the output value is c = 4.