Almost Every Real Quadratic Polynomial has a Poly-time Computable Julia Setdoi:10.1007/S10208-017-9367-7Artem DudkoMichael YampolskySpringer US
It is known that an MIS problem can be encoded as a quadratic unconstrained binary optimization (QUBO) problem. Many quantum algorithms for MIS problems have been proposed8,9. We calculated the upper bounds of the graphs of the MIS problems obtained by reducing an LWE problem using the LWE-...
We investigate in this paper a fixed parameter polynomial algorithm for cardinality constrained quadratic optimization problem, which is NP-hard in general. More specifically, we prove that, given a problem of size n, the number of decision variables, and s, the cardinality, if, for some 0<k...
This paper develops a new grey prediction model with quadratic polynomial term. Analytical expressions of the time response function and the restored values of the new model are derived by using grey model technique and mathematical tools. With observati
Polynomial (बहुपद)|Quadratic Equations (द्विघात समीकरण)|Roots Of A Quadratic Equation|Questions (प्रश्न)|Nature Of A Roots Of Quadratic Equation (द्विघात स
The weights of these Gaussians are optimized by solving offline a quadratic program (QP) that minimizes the error between the generated acceleration and the temporarily scaled demonstrated acceleration, subject to kinematic constraints. They then integrate this model and provide it as reference to an ...
Binary quadratic programming (BQP) is a typical integer programming problem widely applied in the field of signal processing, economy, management and engineering. However, it's NP-hard and lacks efficient algorithms. Due to this reason, in this paper, a novel polynomial algorithm to linearly const...
In addition, both the quadratic and cubic model estimate cerebellum cortex volume to reach its maximum at the age of around 25, while the GAMM instead estimates the maximum to occur around 14 years of age, and the latter seems to be in better agreement with the data. Figs. 1 and 2 and...
is utilized to estimate the displacement of laser speckles on participants’ faces. The input of this algorithm is every frame, denoted as a 2D function (f (x, y)), whereas a quadratic polynomial expansion is adopted to approximate the gray value of each pixel and its neighbors. The signals...
Note that when the method given by Akay and Ertan5 is applied to β^ILTE(PRE), f(k) that minimizes the SMSE(β^ILTE(PRE)) function is a quadratic function. We considered the cases ρ=0.9,0.99,0.999, n=50,100,500, and p=4,8,12. Depending on these n, ρ and p values, the...