Minimum flow decomposition in graphs with cycles using integer linear programming. [PDF]
Minimum flow decomposition (MFD) — the problem of finding a minimum set of weighted source-to-sink paths that perfectly decomposes a flow — is a classical problem in Computer Science, and variants of it are powerful models in a different fields such as ...
Dias FHC +3 more
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The Subspace Flatness Conjecture and Faster Integer Programming [PDF]
In a seminal paper, Kannan and Lovász (1988) considered a quantity $\mu_{K L}(\Lambda, K)$ which denotes the best volume-based lower bound on the covering radius $\mu(\Lambda, K)$ of a convex body K with respect to a lattice $\Lambda$.
Victor Reis, Thomas Rothvoss
semanticscholar +1 more source
Computing Sharp Bounds of Metric Based Fractional Dimensions for the Sierpinski Networks
The concept of metric dimension is widely applied to solve various problems in the different fields of computer science and chemistry, such as computer networking, integer programming, robot navigation, and the formation of chemical structuring.
Arooba Fatima +2 more
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Nested Maximum Entropy Designs for Computer Experiments
Presently, computer experiments with multiple levels of accuracy are widely applied in science and engineering. This paper introduces a class of nested maximum entropy designs for such computer experiments.
Weiyan Mu, Chengxin Liu, Shifeng Xiong
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Integer programs with bounded subdeterminants and two nonzeros per row [PDF]
We give a strongly polynomial-time algorithm for integer linear programs defined by integer coefficient matrices whose subdeterminants are bounded by a constant and that contain at most two nonzero entries in each row.
S. Fiorini +3 more
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The relations between bi-periodic jacobsthal and bi-periodic jacobsthal lucas sequence
In this paper, one of the special integer sequences, Jacobsthal and Jacobsthal Lucas sequences which are encountered in computer science is generalized according to parity of the index of the entries of the sequences, called bi-periodic Jacobsthal and ...
Şükran Uygun
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Turning Mathematics Problems into Games: Reinforcement Learning and Gröbner bases together solve Integer Feasibility Problems [PDF]
Can agents be trained to answer difficult mathematical questions by playing a game? We consider the integer feasibility problem, a challenge of deciding whether a system of linear equations and inequalities has a solution with integer values.
Yue Wu, J. D. Loera
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A Paradigmatic Approach to Find Equal Sum Partitions of Zero-Divisors via Complete Graphs
In computer science and mathematics, a partition of a set into two or more disjoint subsets with equal sums is a well-known NP-complete problem. This is a hard problem and referred to as the partition problem or number partitioning.
M. Haris Mateen +4 more
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Research on Quantum Annealing Integer Factorization Based on Different Columns
The majority of scholars believe that Shor’s algorithm is a unique and powerful quantum algorithm for RSA cryptanalysis, so current postquantum cryptography research has largely considered only the potential threats of Shor’s algorithm.
Baonan Wang, Xiaoting Yang, Dan Zhang
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Lower and Upper Bounds of Fractional Metric Dimension of Connected Networks
The distance centric parameter in the theory of networks called by metric dimension plays a vital role in encountering the distance-related problems for the monitoring of the large-scale networks in the various fields of chemistry and computer science ...
Muhammad Javaid +5 more
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