genotype×environment interactions (geis) can affect breeding programs because they often complicate the evaluation and selection of superior genotypes. this drawback can be reduced by gaining insights into gei processes and genotype adaptation. the objectives of this research were to evaluate: (1) the yield stability of promising wheat lines across locations and (2) the relationship among the t...

In this paper, we develop machinery for proving sum of squares lower bounds on symmetric problems based on the intuition that sum of squares has difficulty capturing integrality arguments, i.e. arguments that an expression must be an integer. Using this machinery, we prove a tight sum of squares lower bound for the following Turan type problem: Minimize the number of triangles in a graph $G$ wi...

Here, an algorithm is presented for solving the minimum sum-of-squares clustering problems using their difference of convex representations. The proposed algorithm is based on an incremental approach and applies the well known DC algorithm at each iteration. The proposed algorithm is tested and compared with other clustering algorithms using large real world data sets.

In a graph G, the first and second degrees of a vertex v is equal to thenumber of their first and second neighbors and are denoted by d(v/G) andd 2 (v/G), respectively. The first, second and third leap Zagreb indices are thesum of squares of second degrees of vertices of G, the sum of products of second degrees of pairs of adjacent vertices in G and the sum of products of firs...

We consider nonlinear systems with polynomial vector fields and pose two classes of system theoretic problems that may be solved by sum of squares programming. The first is disturbance analysis using three different norms to bound the reachable set. The second is the synthesis of a polynomial state feedback controller to enlarge the provable region of attraction. We also outline a variant of th...

We consider the set of squares n2, n < 2k, and split up the sum of binary digits s(n2) into two parts s[<k](n 2) + s[≥k](n 2), where s[<k](n 2) = s(n2 mod 2k) collects the first k digits and s[≥k](n 2) = s(bn2/2kc) collects the remaining digits. We present very precise results on the distribution on s[<k](n 2) and s[≥k](n 2). For example, we provide asymptotic formulas for the numbers #{n < 2k ...