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  • Matheuristics - Wikipedia
    Matheuristics[1][2] are problem agnostic optimization algorithms that make use of mathematical programming (MP) techniques in order to obtain heuristic solutions Problem-dependent elements are included only within the lower-level mathematic programming, local search or constructive components An essential feature is the exploitation in some part of the algorithms of features derived from the
  • Control theory - Wikipedia
    The definition of a closed loop control system according to the British Standards Institution is "a control system possessing monitoring feedback, the deviation signal formed as a result of this feedback being used to control the action of a final control element in such a way as to tend to reduce the deviation to zero "
  • Shortest path problem - Wikipedia
    Algorithms Several well-known algorithms exist for solving this problem and its variants Dijkstra's algorithm solves the single-source shortest path problem with only non-negative edge weights Bellman–Ford algorithm solves the single-source problem if edge weights may be negative
  • Linear regression - Wikipedia
    A model with exactly one explanatory variable is a simple linear regression; a model with two or more explanatory variables is a multiple linear regression [1] This term is distinct from multivariate linear regression, which predicts multiple correlated dependent variables rather than a single dependent variable [2]
  • Algorithmic logic - Wikipedia
    Algorithmic logic is a calculus of programs that allows the expression of semantic properties of programs by appropriate logical formulas It provides a framework that enables proving the formulas from the axioms of program constructs such as assignment, iteration and composition instructions and from the axioms of the data structures in question see Mirkowska Salwicki (1987), Banachowski et
  • Undecidable problem - Wikipedia
    This means that this gives us an algorithm to decide the halting problem Since we know that there cannot be such an algorithm, it follows that the assumption that there is a sound and complete effective axiomatization of all true first-order logic statements about natural numbers must be false
  • Regression analysis - Wikipedia
    For example, a simple univariate regression may propose , suggesting that the researcher believes to be a reasonable approximation for the statistical process generating the data Once researchers determine their preferred statistical model, different forms of regression analysis provide tools to estimate the parameters
  • RSA cryptosystem - Wikipedia
    The RSA algorithm involves four steps: key generation, key distribution, public-key operation (used for encryption or verifying a signature), and private key operation (used for decryption or signing a message) A basic principle behind RSA is the observation that it is practical to find three very large positive integers e, d, and n, such that for all integers x (0 ≤ x < n), both (xe)d and




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