25 research outputs found

    Small Extended Formulations for Cyclic Polytopes

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    We provide an extended formulation of size O(log n)^{\lfloor d/2 \rfloor} for the cyclic polytope with dimension d and n vertices (i,i^2,\ldots,i^d), i in [n]. First, we find an extended formulation of size log(n) for d= 2. Then, we use this as base case to construct small-rank nonnegative factorizations of the slack matrices of higher-dimensional cyclic polytopes, by iterated tensor products. Through Yannakakis's factorization theorem, these factorizations yield small-size extended formulations for cyclic polytopes of dimension d>2

    Hotel business: customer loyalty management

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    The relevance of the chosen direction of the research is due to the need to develop modern marketing management technologies for the adaptation, survival and further development of hotel and restaurant industry, taking into account the fact that the current situation characterized by a socio-economic crisis, has been aggravated by the consequences of the COVID-19 coronavirus pandemic, which together led to new challenges in the hotel and restaurant industry. The hotel and restaurant product is presented as a combination of material product, services and atmosphere, which together form a unique selling proposition in the hotel and restaurant industry. With this in mind, it is reasonable that consumer loyalty to establishments of the hotel and restaurant industry is characterized by customer satisfaction, adherence, advocacy and impressions, which together reflect the perception of the establishment, attitude towards it and future intentions. The use of the proposed scientific and practical approach will make it possible to determine the level of customer loyalty in the hotel and restaurant industry as a whole and for each of its characteristics, to make justified management decisions in accordance with the stage of customer loyalty formation. In order to increase customer loyalty in the hotel and restaurant industry in today's changing situation and conditions of uncertainty, a number of practical recommendations are given to ensure the unique competitive advantages of the hotel product, the introduction of modern information technologies, and improvement of the service quality

    Алгоритм Π²Π΅Ρ‚Π²Π΅ΠΉ ΠΈ Π³Ρ€Π°Π½ΠΈΡ† для Π·Π°Π΄Π°Ρ‡ΠΈ коммивояТСра Π½Π΅ являСтся Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠΌ прямого Ρ‚ΠΈΠΏΠ°

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    In this paper, we consider the notion of a direct type algorithm introduced by V. A. Bondarenko in 1983. A direct type algorithm is a linear decision tree with some special properties. the concept of a direct type algorithm is determined using the graph of solutions of a combinatorial optimization problem. e vertices of this graph are all feasible solutions of a problem. Two solutions are called adjacent if there are input data for which these and only these solutions are optimal. A key feature of direct type algorithms is that their complexity is bounded from below by the clique number of the solutions graph. In 2015-2018, there were five papers published, the main results of which are estimates of the clique numbers of polyhedron graphs associated with various combinatorial optimization problems. the main motivation in these works is the thesis that the class of direct type algorithms is wide and includes many classical combinatorial algorithms, including the branch and bound algorithm for the traveling salesman problem, proposed by J. D. C. Little, K. G. Murty, D. W. Sweeney, C. Karel in 1963. We show that this algorithm is not a direct type algorithm. Earlier, in 2014, the author of this paper showed that the Hungarian algorithm for the assignment problem is not a direct type algorithm. us, the class of direct type algorithms is not so wide as previously assumed.Π’ настоящСй Ρ€Π°Π±ΠΎΡ‚Π΅ рассматриваСтся понятиС Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠ³ΠΎ Ρ€Π°Π·Π΄Π΅Π»ΡΡŽΡ‰Π΅Π³ΠΎ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° прямого Ρ‚ΠΈΠΏΠ°, Π²Π²Π΅Π΄Π΅Π½Π½ΠΎΠ΅ Π’. А. Π‘ΠΎΠ½Π΄Π°Ρ€Π΅Π½ΠΊΠΎ Π² 1983 Π³. ΠŸΠΎΠ½ΡΡ‚ΠΈΠ΅ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° прямого Ρ‚ΠΈΠΏΠ° опрСдСляСтся с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ Π³Ρ€Π°Ρ„Π° Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ Π·Π°Π΄Π°Ρ‡ΠΈ ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ‚ΠΎΡ€Π½ΠΎΠΉ ΠΎΠΏΡ‚ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΠΈ. Π’Π΅Ρ€ΡˆΠΈΠ½Π°ΠΌΠΈ этого Π³Ρ€Π°Ρ„Π° слуТат всС допустимыС Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ Π·Π°Π΄Π°Ρ‡ΠΈ. Π”Π²Π° Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ Π½Π°Π·Ρ‹Π²Π°ΡŽΡ‚ΡΡ смСТными, Ссли ΡΡƒΡ‰Π΅ΡΡ‚Π²ΡƒΡŽΡ‚ Π²Ρ…ΠΎΠ΄Π½Ρ‹Π΅ Π΄Π°Π½Π½Ρ‹Π΅, для ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… эти Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ ΠΈ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ ΠΎΠ½ΠΈ ΡΠ²Π»ΡΡŽΡ‚ΡΡ ΠΎΠΏΡ‚ΠΈΠΌΠ°Π»ΡŒΠ½Ρ‹ΠΌΠΈ. ΠšΠ»ΡŽΡ‡Π΅Π²ΠΎΠΉ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡ‚ΡŒΡŽ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠ² прямого Ρ‚ΠΈΠΏΠ° являСтся Ρ‚ΠΎ, Ρ‡Ρ‚ΠΎ ΠΈΡ… Ρ‚Ρ€ΡƒΠ΄ΠΎΠ΅ΠΌΠΊΠΎΡΡ‚ΡŒ оцСниваСтся снизу ΠΊΠ»ΠΈΠΊΠΎΠ²Ρ‹ΠΌ числом Π³Ρ€Π°Ρ„Π° Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ. Π’ 2015–2018 Π³Π³. Π±Ρ‹Π»ΠΎ ΠΎΠΏΡƒΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½ΠΎ ΠΏΡΡ‚ΡŒ Ρ€Π°Π±ΠΎΡ‚, основными Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌΠΈ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΡΠ²Π»ΡΡŽΡ‚ΡΡ ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΊΠ»ΠΈΠΊΠΎΠ²Ρ‹Ρ… чисСл Π³Ρ€Π°Ρ„ΠΎΠ² ΠΌΠ½ΠΎΠ³ΠΎΠ³Ρ€Π°Π½Π½ΠΈΠΊΠΎΠ², ассоциированных с Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹ΠΌΠΈ Π·Π°Π΄Π°Ρ‡Π°ΠΌΠΈ ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ‚ΠΎΡ€Π½ΠΎΠΉ ΠΎΠΏΡ‚ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΠΈ. Π’ качСствС основной ΠΌΠΎΡ‚ΠΈΠ²Π°Ρ†ΠΈΠΈ Π² этих Ρ€Π°Π±ΠΎΡ‚Π°Ρ… приводится тСзис ΠΎ Ρ‚ΠΎΠΌ, Ρ‡Ρ‚ΠΎ класс Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠ² прямого Ρ‚ΠΈΠΏΠ° являСтся ΡˆΠΈΡ€ΠΎΠΊΠΈΠΌ ΠΈ Π²ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ Π² сСбя ΠΌΠ½ΠΎΠ³ΠΈΠ΅ классичСскиС ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ‚ΠΎΡ€Π½Ρ‹Π΅ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΡ‹, Π² Ρ‚ΠΎΠΌ числС Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ Π²Π΅Ρ‚Π²Π΅ΠΉ ΠΈ Π³Ρ€Π°Π½ΠΈΡ† для Π·Π°Π΄Π°Ρ‡ΠΈ коммивояТСра, ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Ρ‹ΠΉ J. D. C. Little, K. G. Murty, D. W. Sweeney, C. Karel Π² 1963 Π³. ΠœΡ‹ ΠΏΠΎΠΊΠ°ΠΆΠ΅ΠΌ, Ρ‡Ρ‚ΠΎ этот Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ Π½Π΅ являСтся Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠΌ прямого Ρ‚ΠΈΠΏΠ°. Π Π°Π½Π΅Π΅, Π² 2014 Π³., Π°Π²Ρ‚ΠΎΡ€ΠΎΠΌ настоящСй Ρ€Π°Π±ΠΎΡ‚Ρ‹ Π±Ρ‹Π»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, Ρ‡Ρ‚ΠΎ вСнгСрский Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ для Π·Π°Π΄Π°Ρ‡ΠΈ ΠΎ назначСниях Π½Π΅ являСтся Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠΌ прямого Ρ‚ΠΈΠΏΠ°. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ, класс Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠ² прямого Ρ‚ΠΈΠΏΠ° Π½Π΅ являСтся Π½Π°ΡΡ‚ΠΎΠ»ΡŒΠΊΠΎ ΡˆΠΈΡ€ΠΎΠΊΠΈΠΌ, ΠΊΠ°ΠΊ ΠΏΡ€Π΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π»ΠΎΡΡŒ Ρ€Π°Π½Π΅Π΅

    An integrated approach to assessing the economic and ecological potential of the agricultural industry of the region

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    The article is devoted to topical issues of developing the economic and environmental potential of the region's agricultural industry. The opinions of domestic scientists regarding the formation of a system of indicators for assessing economic and environmental potential, as well as their main components, were studied. Based on the analysis, it is proposed to divide the indicators into four blocks. The first will include indicators of economic potential, the second will include aspects related to environmental potential, and when forming the third block, regional characteristics will be taken into account: climatic, social, natural, etc. The last, fourth block will include parameters reflecting the external impact on the economic and environmental potential of the region’s agricultural industry. An integrated approach to assessing the economic and environmental potential of the region’s agricultural industry has been formed, taking into account all possible external and internal factors

    Green economy as a factor of sustainable development of the state

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    The problem of transition to a β€œgreen” economy based on sustainable technological changes is caused by global environmental pollution of the ecosystem, leading to warming and environmental change, insufficient natural resource potential to meet the vital needs of the planet’s population, does not contribute to its development. The practical content is determined by the fact that theoretical and methodological provisions, conclusions and scientific and practical recommendations form the scientific basis for the development of a new holistic concept for the development of a β€œgreen economy” in Russia. Conclusions are drawn that the β€œgreen” economy can become a driver of development of the Russian Federation, therefore the prospects for creating a β€œgreen” economy become dynamic and quite achievable
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