Mathematics and optimization

447 terms

# A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

  • Vector - A vector is an element of a vector space.
  • Vector field reconstruction - Vector field reconstruction estimates a function that assigns a vector to each location in a domain, using incomplete, noisy, or scattered observations.
  • Vector length - Vector length measures the magnitude of a vector according to a chosen norm.
  • Vector optimization - Vector optimization optimizes an objective whose value is a vector rather than a single number, using a specified rule for comparing vectors.
  • Vector semantics - Vector semantics studies and represents aspects of meaning using vectors and relationships between them.
  • Vertical federated learning - Vertical federated learning is collaborative model training in which participants hold different features about the same or overlapping entities.
  • Very large-scale neighborhood search - Very large-scale neighborhood search is an optimization approach that seeks improvements within a very large set of related candidate solutions, often of...
  • VIKOR method - The VIKOR method is a multicriteria decision-making method that ranks alternatives and identifies compromise choices using their shortfalls from ideal...
  • Wald's maximin model - Wald's maximin model is a decision rule that selects the action with the best worst-case payoff among the states considered possible.
  • Weighted Alternating Least Squares - Weighted Alternating Least Squares, or WALS, is an algorithm for fitting matrix-factorization models by repeatedly solving weighted least-squares problems...
  • Weighted least squares - Weighted least squares fits a model by minimizing a sum of squared prediction errors in which each observation has a nonnegative weight.
  • Wide matrix - A wide matrix has more columns than rows. If a matrix has m rows and d columns, it is wide when d>m.
  • Word-context matrix - A word-context matrix records how target words occur with selected contexts in a text collection.
  • Zero-gradient condition - The zero-gradient condition states that every first partial derivative of a differentiable objective is zero at a candidate point.
  • Zionts - Wallenius method - The Zionts - Wallenius method is an interactive approach to multicriteria optimization that uses a decision maker's judgments about proposed trade-offs to...

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