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Amortized Computational Complexity

SIAM Journal on Algebraic Discrete Methods, 1985
A powerful technique in the complexity analysis of data structures is amortization, or averaging over time. Amortized running time is a realistic but robust complexity measure for which we can obtain surprisingly tight upper and lower bounds on a variety of algorithms. By following the principle of designing algorithms whose amortized complexity is low,
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Computational Complexity

2008
Complexity theory is a central field of the theoretical foundations of computer science. It is concerned with the general study of the intrinsic complexity of computational tasks; that is, it addresses the question of what can be achieved within limited time (and/or with other limited natural computational resources).
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Bridging the complexity gap in computational heterogeneous catalysis with machine learning

Nature Catalysis, 2023
Tianyou Mou, Siwen Wang, Fanglin Che
exaly  

Complexity of Computer Computations

Mathematics of Computation, 1974
John R. Rice   +2 more
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Computational Complexity

We are living in a golden age of digital technology, with more mobile devices than people on the planet. Still, a small percentage of people consider the complexities of these interdependent systems and how they contribute to overall complexity. Every digital device runs on programs, which are human-provided instructions to computers and add it to the
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Computational Complexity

2020
Yunqiang Yin   +2 more
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Computational complexity of spin-glass three-dimensional (3D) Ising model

Journal of Materials Science and Technology, 2020
Zhidong Zhang
exaly  

Computational Complexity

2006
Petteri Kaski, Patric R.J. Östergård
  +4 more sources

Computational complexity

Mathematical Biosciences, 1987
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