This article is about words that minimize. For a person who minimizes, see Minimisation (psychology). For the mathematical concept, see Mathematical optimization.
In linguistics, a minimizer is a word or phrase that denotes a very small quantity which is used to reinforce negation. For example, red cent is a minimizer in the sentence "I'm not paying him a red cent" (meaning, "I'm not paying him any money").
Minimizers are usually analysed as a subclass of negative polarity items, and are often limited to negative contexts.[1] For example, statements like "I paid him a red cent" or "I care a wit" would be considered unacceptable. In English and other languages, minimizers constitute the largest and most productive class of negative polarity items.[2]
linguistics, a minimizer is a word or phrase that denotes a very small quantity which is used to reinforce negation. For example, red cent is a minimizer in the...
In automata theory (a branch of theoretical computer science), DFA minimization is the task of transforming a given deterministic finite automaton (DFA)...
Minimizing Marriage: Marriage, Morality, and the Law is a 2012 book by Elizabeth Brake in which the author provides an "in-depth examination of marriage...
Empirical risk minimization is a principle in statistical learning theory which defines a family of learning algorithms based on evaluating performance...
Structural risk minimization (SRM) is an inductive principle of use in machine learning. Commonly in machine learning, a generalized model must be selected...
field of computational chemistry, energy minimization (also called energy optimization, geometry minimization, or geometry optimization) is the process...
In automata theory (a branch of theoretical computer science), NFA minimization is the task of transforming a given nondeterministic finite automaton (NFA)...
Data minimization is the principle of collecting, processing and storing only the necessary amount of personal information required for a specific purpose...
Look up minimization or minimize in Wiktionary, the free dictionary. Minimisation or minimization may refer to: Minimisation (psychology), downplaying...
\operatorname {int} {\tilde {C}}} . Every proper minimizer is a minimizer. And every minimizer is a weak minimizer. Modern solution concepts not only consists...
The ESPRESSO logic minimizer is a computer program using heuristic and specific algorithms for efficiently reducing the complexity of digital logic gate...
stands for “Majorize-Minimization” or “Minorize-Maximization”, depending on whether the desired optimization is a minimization or a maximization. Despite...
Quine–McCluskey algorithm, later followed by the Espresso heuristic logic minimizer, the rapidly improving chip densities, and the wide adoption of Hardware...
\Omega }f(x),} that is, finding f ∗ {\displaystyle f^{*}} and a global minimizer in X ∗ {\displaystyle X^{*}} ; where Ω {\displaystyle \Omega } is a (not...
In computer science and operations research, the envy minimization problem is the problem of allocating discrete items among agents with different valuations...
representer theorem is any of several related results stating that a minimizer f ∗ {\displaystyle f^{*}} of a regularized empirical risk functional defined...
simulators for VHDL, Verilog, SystemVerilog, ... Espresso heuristic logic minimizer, such as Logic Friday Comparison of EDA software List of instruction set...
desirable to minimize the number of bends per edge (sometimes called the curve complexity) or the total number of bends in a drawing. Bend minimization is the...
H. Ninke of Bell Labs disclosed a similar method, which they termed "minimized average error" using a larger kernel 1 48 [ − − # 7 5 3 5 7 5 3 1 3 5...
"Waste from Health Care facilities Fact Sheet No 253". WHO (2014). "Waste minimization, recycling and reuse" (PDF). The EU Pre-waste project website, homepage...
{\vec {x}}))]} is known as the conditional risk. One can solve for the minimizer of I [ f ] {\displaystyle I[f]} by taking the functional derivative of...
necessary conditions for a function to be a minimizer is the Euler–Lagrange equation. But seeking a minimizer amongst functions satisfying these may lead...
structure or body shall deform or displace to a position that (locally) minimizes the total potential energy, with the lost potential energy being converted...
is a subfield of mathematical optimization that studies the problem of minimizing convex functions over convex sets (or, equivalently, maximizing concave...
-{\sqrt {2}}} . Now we modify the objective function of Example 1 so that we minimize f ( x , y ) = ( x + y ) 2 {\displaystyle \ f(x,y)=(x+y)^{2}\ } instead...
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