The important concepts in the development of methods for solving optimization problems both with and without constraints on the variables are described. A decision tree is given which enables an appropriate alg
Iterative algorithm with structured diagonal Hessian approximation for solving nonlinear least squares problems (2020) Rank 2r2r iterative least squares: efficient recovery of ill-conditioned low rank matrices from few entries (2020) Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outlie...
For an optimal control problem with state constraints, an iterative solution method is described based on reduction to a finite-dimensional problem, followed by applying a successive linearization algorithm with the use of an augmented Lagrangian. The efficiency of taking into account state constraints ...
as a basic supply problem.The main motivation is to achieve high quality solutions ofthe vehicle routing problem in the shortest possible time.It tries to achieve this goal via parallelization of the antcolony optimization metaheuristics, which is suitable forcalculating of combinatorial problems. The...
The cells of the Excel spreadsheet will be filled out as follows, indicating the optimum number of operators required in this schedule optimization problem. Method 2 – Calculating Minimum Number of Bank Employees to Meet Labor Demands For solving this schedule optimization problem in Excel, we will...
Since the savings calculation for each pair of existing routes involves solving two optimization problems (the TSP and the loading problem), we have devised a method that allows the calculations for many dominated pairs, i.e., pairs whose unification cannot yield the largest savings in the curren...
First, a new mathematical foundation for obtaining a global or near-global solution will be developed. Second, several case studies will be conducted on a variety of real-world problems. Global optimization, convex relaxation and distributed computation are at the heart of this PhD dissertation. ...
So we obtain, e.g., solution methods (for solving equations or variational problems) which require calmness only. The relations of these methods to several known basic algorithms are discussed, and errors in the subroutines as well as deformations of the given mappings are permitted. We also ...
On the optimization of the methods for solving boundary value problems in the presence of a boundary layer NS Bakhvalov 被引量: 276发表: 1969年 On the optimization of methods for solving boundary value problems with boundary layers BAKHVALOV N.S., On the optimization of methods for solving ...
Optimization methods for logical inference? Absolutely, say Vijay Chandru and John Hooker, two major contributors to this rapidly expanding field. And even though "solving logical inference problems with optimization methods may seem a bit like eating sauerkraut with chopsticks. . . it is the mathem...