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...and constraints are twice [[continuously differentiable]]. Similarly to [[sequential quadratic programming]] (SQP), SLQP proceeds by solving a sequence of optim ...nsidered related to, but distinct from, [[Quasi-Newton method|quasi-Newton methods]]. ...

...logy]]. As well as being used to prove the existence of a solution, direct methods may be used to compute the solution to desired accuracy.<ref>{{cite book |t ...case the [[Banach&ndash;Alaoglu theorem#Sequential Banach–Alaoglu theorem|sequential Banach–Alaoglu theorem]] implies that any bounded sequence <math>(u_n)</mat ...

...:0">Bendsøe, M. P., & Sigmund, O. (2003). ''Topology optimization: theory, methods, and applications''. Berlin: Springer.</ref> ...he method, including mini-max formulations and first and second order dual methods to solve subproblems.<ref>{{Citation |last=Svanberg |first=K. |title=The Me ...

...imary inputs and present-state onto the primary outputs. Any deterministic sequential function can be represented by the use of this model. A FSM can be separate == Synthesis methods == ...

'''Sequential minimal optimization''' ('''SMO''') is an algorithm for solving the [[quadr | title = Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines ...

=== Sequential algorithm for general objectives === The sequential algorithm is general - it can be applied whenever we have a solver for the ...

...al<ref>{{cite conference|conference=AAAI-13|title=A social welfare optimal sequential allocation procedure|date=2013|url=http://dl.acm.org/citation.cfm?id=254016 ...ite journal|doi=10.1111/j.0092-5853.2005.00118.x|title=Divisor Methods for Sequential Portfolio Allocation in Multi-Party Executive Bodies: Evidence from Norther ...

...perty of [[Mathematics of apportionment|apportionment methods]]. These are methods for allocating seats in a [[parliament]] among [[federal states]] (or among == Methods violating house-monotonicity == ...

...ion methods are also known as direct-search, derivative-free, or black-box methods. ...er of scientists listed in Anderson's paper. A MATLAB code reproducing the sequential procedure for the general [[non-linear regression]] of an example mathemati ...

...environment like AMPL, these are provided by [[automatic differentiation]] methods, but need to be provided by the caller in other environments. First and sec ...eliable runtime complexity of IP methods, since traditional [[active set]] methods may be unsuitable for large-scale problems. ...

...n]]. This is the simplest formal method, and the most general, applying to sequential, parallel, stand-alone, communicating, terminating, nonterminating, natural [[Category:Formal methods]] ...

'''Bayesian optimization''' is a [[sequential analysis|sequential design]] strategy for [[global optimization]] of [[Black box|black-box]] fu ...e }}</ref><ref>{{cite journal |first=Jonas |last=Močkus |title=On Bayesian Methods for Seeking the Extremum and their Application |journal=IFIP Congress |year ...

...ankruptcy problems. Mimeo</ref><ref name=":1" /> describes the following [[sequential game]]. ...|doi=10.1016/0304-4068(94)00696-8|issn=0304-4068}}</ref> describes another sequential game of offers. It is parametrized by a two-claimant rule ''R''. ...

...deficiencies of the [[particle filter#Sequential importance sampling (SIS)|sequential importance resampling]] (SIR) algorithm when dealing with tailed observatio [[Category:Monte Carlo methods]] ...

===Sequential beamforming=== ...ef><ref>M. C. Hemmsen, J. M. Hansen, and J. A. Jensen, "Synthetic Aperture Sequential Beamformation Applied to Medical Imaging," in ''9th European Conference on ...

...sic type of sampling and can be a component of other more complex sampling methods.<ref>{{Cite book |last=Thompson |first=Steven K. |title=Sampling |date=2012 == Relationship between simple random sample and other methods == ...

...at between 200,000-5,000,000 SNPs using microarrays. Haplotype estimation methods are used in the analysis of these datasets and allow [[Imputation (genetics ==Haplotype estimation methods== ...

'''Augmented Lagrangian methods''' are a certain class of [[algorithm]]s for solving [[Constraint (mathemat ...16/C2013-0-10366-2 |title=Constrained Optimization and Lagrange Multiplier Methods |date=1982 |isbn=978-0-12-093480-5 |first1=Dimitri P. |last1=Bertsekas |aut ...

...ocally convex topological vector space|locally convex]] [[sequential space|sequential]] [[topological vector space]] that is {{em|not}} a [[Fréchet–Urysohn space * {{Wilansky Modern Methods in Topological Vector Spaces|edition=1}} <!-- {{sfn|Wilansky|2013|p=}} --> ...

'''Random sequential adsorption''' ('''RSA''') refers to a process where [[particle]]s are rando ...m]].<ref name="Widom66">{{cite journal|last=Widom|first=B. J.|title=Random Sequential Addition of Hard Spheres to a Volume|journal=J. Chem. Phys.|volume=44|issue ...