To shed light on quantitative complexity analysis removing hidden factors, we provide a framework for estimating time–space complexity, with carefully accounting for characteristics of target cryptographic functions. Processor and circuit parallelization methods are taken into account, resulting in the time...
CPT+: Decreasing the time/space complexity of the Compact Prediction Tree Ted Gueniche1, Philippe Fournier-Viger1, Rajeev Raman2, and Vincent S. Tseng3 1 Dept. of computer science, University of Moncton, Canada 2 Department of Computer Science, University of Leicester, United Kingdom 3 Dept....
We study the power of preprocessing adversaries in finding bounded-length collisions in the widely used Merkle-Damgård (MD) hashing in the random oracle model. Specifically, we consider adversaries with arbitrary S-bit advice about the random oracle and can make at most T queries to it. Our...
The analyses of speciation rates and net diversification rates through time demonstrate two diversification bursts in the evolution of flowering plants. The first one occurred between the Late Jurassic (ca. 150 Ma) and the mid-Cretaceous (ca. 100 Ma)3,16and this time period roughly coincides...
To make this terrible GPU into something considerably better, give each fragment a little storage space for its local registers. Now, instead of stalling on a texture fetch, the shader processor is allowed to switch and execute another fragment, number two of two thousand. This switch is extrem...
Calculating and comparing time complexity for algorithms are the most important necessary skills for CS students. This semester, Rikka applies for the assistant of course "Algorithm Analysis". Now Rikka needs to set problems for the final examination, and she is going to set some tasks about time...
The time as well as space complexity of the algorithms in refs. 26,32 is O((2n)m) where m is the T-count of the 2n × 2n input unitary. (The T-count of a unitary is the minimum number of T gates required to implement it.) The time and space complexity of the algorithm ...
A Polynomial Time Algorithm refers to an algorithm with low complexity that can provide an exact solution in polynomial time, making it optimal for certain algorithmic problems. AI generated definition based on: Agricultural Internet of Things and Decision Support for Precision Smart Farming, 2020 ...
Studies of reversible Turing machines (RTMs) often differ in their use of static resources such as the number of tapes, symbols and internal states. However, the interplay between such resources and computational complexity is not well-established for RT
Manipulations of multiple carrier frequencies are especially important in a variety of fields like radar detection and wireless communications. In conventional radio-frequency architecture, the multi-frequency control is implemented by microwave circuits