Výsledky vyhľadávania - boolean partial boolean linear programming (((problems OR problemysy) OR problemss) OR problemss)

PIECEWISE LINEAR REGRESSION MODELS OF PASSENGER TRANSPORTATION VOLUMES BY RAILWAY

Autori: S.I. Noskov A.A. Khonyakov

Zdroj: Модели, системы, сети в экономике, технике, природе и обществе, Iss 4 (2022)

Predmety: piecewise linear regression, regressor transformation, boolean partial boolean linear programming problem, railway transport, passenger transportation, Engineering (General). Civil engineering (General), TA1-2040

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2227-8486

Prístupová URL adresa: https://doaj.org/article/c8c8c9977008465aa432888cb680a6ae

Chromatic Scheduling and the Chromatic Number Problem

Autori: Brown, J. Randall

Zdroj: Management Science, 1972 Dec 01. 19(4), 456-463.

Prístupová URL adresa: https://www.jstor.org/stable/2629029

Reconstructing S-Boxes from Cryptographic Tables with Milp

Autori: Raghvendra Rohit Sumanta Sarkar

Zdroj: IACR Transactions on Symmetric Cryptology, Vol 2024, Iss 3 (2024)

Predmety: Substitution box, Difference Distribution Table (DDT), Linear Approximation Table (LAT), Differential-Linear Connectivity Table (DLCT), Boomerang Connectivity Table (BCT), Mixed Integer Linear Programming (MILP), Computer engineering. Computer hardware, TK7885-7895

Popis súboru: electronic resource

Relation: https://tosc.iacr.org/index.php/ToSC/article/view/11815; https://doaj.org/toc/2519-173X

Prístupová URL adresa: https://doaj.org/article/9488eb5d895d4a69bc5077aceb32f60b

Using the NEOS Server for Solving Two Classes of Optimization Problems

Autori: Halyna Bila Oleksandr Korchynskyy Petro Stetsyuk a ďalší

Zdroj: Кібернетика та комп'ютерні технології, Iss 4, Pp 56-80 (2022)

Predmety: optimization, neos server, ampl, neos solvers, travelling salesman problem, stiefel’s manifold, Cybernetics, Q300-390

Popis súboru: electronic resource

Relation: http://cctech.org.ua/13-vertikalnoe-menyu-en/434-abstract-22-4-5-arte; https://doaj.org/toc/2707-4501; https://doaj.org/toc/2707-451X

Prístupová URL adresa: https://doaj.org/article/4baaac5f6055403abed9d106c4df1dc4

Eature selection in regression models estimated by OLS as a partial boolean linear programming problem: computational experiments

Autori: Mikhail Pavlovich Bazilevskiy

Zdroj: Information Technology and Mathematical Modeling in the Management of Complex Systems. :1-12

FORMALIZATION OF THE PROBLEM OF CONSTRUCTION OF LINEAR MULTIPLICATIVE REGRESSIONS IN THE FORM OF A PARTIAL-BOOLEAN LINEAR PROGRAMMING PROBLEM

Autori: M P Bazilevsky S I Noskov

Zdroj: Modern technologies. System analysis. Modeling. 3

Predmety: 0502 economics and business, 05 social sciences, 0101 mathematics, 01 natural sciences

Prístupová URL adresa: https://stsam.irgups.ru/2017.3%2855%29.101-105

Identification of Boolean Network Models From Time Series Data Incorporating Prior Knowledge

Autori: Thomas Leifeld Zhihua Zhang Ping Zhang

Zdroj: Frontiers in Physiology, Vol 9 (2018)

Predmety: Boolean networks, identification, prior knowledge, time series data, network inference, Physiology, QP1-981

Popis súboru: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fphys.2018.00695/full; https://doaj.org/toc/1664-042X

Prístupová URL adresa: https://doaj.org/article/cf2e9c91945b4b03af824da27c64f18b

Bounding the probability of the union of events by aggregation and disaggregation in linear programs

Autori: Prékopa, András Gao, Linchun

Zdroj: Discrete Applied Mathematics. Jan2005, Vol. 145 Issue 3, p444-454. 11p.

Predmety: *DISCRETE mathematics, *DYNAMIC programming, *NONLINEAR programming, *MATHEMATICS

On the radius of stability of a vector problem of linear Boolean programming.

Autori: Emelichev, V.A. Krichko, V.N. Podkopaev, D.P.

Zdroj: Discrete Mathematics & Applications. 2000, Vol. 10 Issue 1, p103. 6p.

Predmety: *BOOLEAN algebra, *LINEAR programming

Оценивание индексных моделей регрессии с помощью метода наименьших модулей

Predmety: index regression, least absolute deviations, partial-Boolean linear programming problem, производственная функция Леонтьева, Leontief production function, индексная регрессия, метод наименьших модулей, задача частично-булевого линейного программирования

Provision of optimal dispatching scenarios for regional power systems in the face of uncontrollable power shortages.

Alternate Title: Забезпечення оптимальних сценаріїв диспетчеризації регіональних енергосистем в умовах некерованого дефіциту потужності (Ukrainian)

Autori: Kaplun, Viktor Gai, Oleksandr Stetsyuk, Petro a ďalší

Zdroj: Machinery & Energetics; 2023, Vol. 14 Issue 2, p23-33, 11p

Predmety: MATHEMATICAL complex analysis, LINEAR programming, MATHEMATICAL programming, ENERGY infrastructure, POWER resources, ELECTRIC power distribution grids, COMMUNICATION infrastructure

Representations of Monotone Boolean Functions by Linear Programs

Autori: de Oliveira Oliveira, Mateus Pudlák, Pavel Mateus de Oliveira Oliveira and Pavel Pudlák

Prispievatelia: de Oliveira Oliveira, Mateus Pudlák, Pavel Mateus de Oliveira Oliveira and Pavel Pudlák

Predmety: Monotone Linear Programming Circuits, Lovász-Schrijver Proof System, Cutting-Planes Proof System, Feasible Interpolation, Lower Bounds

Popis súboru: application/pdf

Relation: Is Part Of LIPIcs, Volume 79, 32nd Computational Complexity Conference (CCC 2017); https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2017.3

Dostupnosť: https://doi.org/10.4230/LIPIcs.CCC.2017.3
https://nbn-resolving.org/urn:nbn:de:0030-drops-75200
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2017.3

ГРУППОВОЙ ОТБОР ИНФОРМАТИВНЫХ ПЕРЕМЕННЫХ В РЕГРЕССИОННЫХ МОДЕЛЯХ: GROUP SELECTION OF INFORMATIVE VARIABLES IN REGRESSION MODELS

Zdroj: Южно-Сибирский научный вестник. 1

Predmety: спецификация модели, the specification of the model, the problem of partial Boolean linear programming, The regression equation, Регрессионное уравнение, информативные переменные, informa-tive variables, задача частично-булевого линейного программирования

Representations of Monotone Boolean Functions by Linear Programs

Autori: Oliveira, Mateus De Oliveira Pudlák, Pavel ERC Advanced a ďalší

Prispievatelia: Oliveira, Mateus De Oliveira Pudlák, Pavel ERC Advanced a ďalší

Zdroj: ACM Transactions on Computation Theory ; volume 11, issue 4, page 1-31 ; ISSN 1942-3454 1942-3462

Dostupnosť: https://doi.org/10.1145/3337787
https://dl.acm.org/doi/10.1145/3337787
https://dl.acm.org/doi/pdf/10.1145/3337787

Finding optimal satisficing strategies for and-or trees

Autori: Greiner, Russell Hayward, Ryan Jankowska, Magdalena a ďalší

Zdroj: Artificial Intelligence. Jan2006, Vol. 170 Issue 1, p19-58. 40p.

Predmety: *LINEAR programming, *PROBABILITY theory, *STATISTICAL correlation, *MATHEMATICAL optimization

Improving linear search algorithms with model-based approaches for MaxSAT solving.

Autori: Martins, Ruben Manquinho, Vasco Lynce, Inês

Zdroj: Journal of Experimental & Theoretical Artificial Intelligence. Oct2015, Vol. 27 Issue 5, p673-701. 29p.

Predmety: *SEARCH algorithms, *SATISFIABILITY (Computer science), *SUBSPACES (Mathematics), *BOOLEAN algebra, *MIXED integer linear programming

Representations of Monotone Boolean Functions by Linear Programs

Autori: Mateus de Oliveira Oliveira and Pavel Pudlák de Oliveira Oliveira, Mateus Pudlák, Pavel

Témy: Monotone Linear Programming Circuits, Lovász-Schrijver Proof System, Cutting-Planes Proof System, Feasible Interpolation, Lower Bounds, InProceedings, Text, doc-type:ResearchArticle, publishedVersion

URL: https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2017.3
Is Part Of LIPIcs, Volume 79, 32nd Computational Complexity Conference (CCC 2017)

Complexity and Approximation for Discriminating and Identifying Code Problems in Geometric Setups.

Autori: Dey, Sanjana Foucaud, Florent Nandy, Subhas C. a ďalší

Zdroj: Algorithmica; Jul2023, Vol. 85 Issue 7, p1850-1882, 33p

Predmety: GEOMETRIC vertices, APPROXIMATION algorithms, NP-complete problems, LINEAR programming, INTEGER programming, INTERSECTION graph theory

Compact and efficient encodings for planning in factored state and action spaces with learned Binarized Neural Network transition models.

Autori: Say, Buser Sanner, Scott

Zdroj: Artificial Intelligence. Aug2020, Vol. 285, pN.PAG-N.PAG. 1p.

Predmety: *ARTIFICIAL neural networks, *REGIONAL planning, *CONSTRAINT algorithms, *LINEAR programming, *COMPACT bone

APPLYING THE RISK FUNCTION TO MODEL ECONOMIC SYSTEMS

Zdroj: Южно-Сибирский научный вестник.

Predmety: функция риска, risk function, least modulus, регрессия, regression, partial boolean linear programming, частично булево линейное программирование, метод наименьших модулей