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Generating linear, semidefinite, and second-order cone optimization problems for numerical experiments
M Mohammadisiahroudi, R Fakhimi… - Optimization Methods …, 2024 - Taylor & Francis
The numerical performance of algorithms can be studied using test sets or procedures that
generate such problems. This paper proposes various methods for generating linear …
generate such problems. This paper proposes various methods for generating linear …
PriPresent: an embedded prime LightWeight block cipher for smart devices
M Girija, P Manickam, M Ramaswami - Peer-to-Peer Networking and …, 2021 - Springer
Lightweight cryptography (LWC) is a compact and advancing cryptography protocol. Internet
of Things (IoT) is a cutting edge technology which is developed for resource constrained …
of Things (IoT) is a cutting edge technology which is developed for resource constrained …
Generation techniques for linear programming instances with controllable properties
S Bowly, K Smith-Miles, D Baatar… - Mathematical …, 2020 - Springer
This paper addresses the problem of generating synthetic test cases for experimentation in
linear programming. We propose a method which maps instance generation and instance …
linear programming. We propose a method which maps instance generation and instance …
Empirical and statistical comparison of intermediate steps of AES-128 and RSA in terms of time consumption
Cryptographic algorithms are composed of many complex mathematical functions. When
analyzing the complexity of these algorithms, one fixes priory the overall complexity of the …
analyzing the complexity of these algorithms, one fixes priory the overall complexity of the …
A mixed evolutionary-statistical analysis of an algorithm's complexity
A combination of evolutionary algorithms and statistical techniques is used to analyze the
worst-case computational complexity of two sorting algorithms. It is shown that excellent …
worst-case computational complexity of two sorting algorithms. It is shown that excellent …
Generating linear programming instances with controllable rank and condition number
Instance generation is crucial for linear programming algorithms, especially for the
evaluation and verification of corresponding methods. This study proposes a general …
evaluation and verification of corresponding methods. This study proposes a general …
On why an algorithmic time complexity measure can be system invariant rather than system independent
S Chakraborty, SK Sourabh - Applied Mathematics and Computation, 2007 - Elsevier
On why an algorithmic time complexity measure can be system invariant rather than system
independent - ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & Books …
independent - ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & Books …
Software complexity: A statistical case study through insertion sort
A Kumari, S Chakraborty - Applied mathematics and computation, 2007 - Elsevier
Software complexity: A statistical case study through insertion sort - ScienceDirect Skip to
main contentSkip to article Elsevier logo Journals & Books Help Search My account Sign in …
main contentSkip to article Elsevier logo Journals & Books Help Search My account Sign in …
A k-mismatch string matching for generalized edit distance using diagonal skip** method
HJ Kim - Plos one, 2021 - journals.plos.org
This paper proposes an approximate string matching with k-mismatches when calculating
the generalized edit distance. When the edit distance is generalized, more sophisticated …
the generalized edit distance. When the edit distance is generalized, more sophisticated …
[PDF][PDF] Stress testing mixed integer programming solvers through new test instance generation methods.
S Bowly - 2019 - minerva-access.unimelb.edu.au
Optimisation algorithms require careful tuning and analysis to perform well in practice. Their
performance is strongly affected by algorithm parameter choices, software, and hardware …
performance is strongly affected by algorithm parameter choices, software, and hardware …