New results in the packing of equal circles in a square
Discrete Mathematics
Packing equal circles in a square: a deterministic global optimization approach
Discrete Applied Mathematics
An effective hybrid algorithm for the problem of packing circles into a larger containing circle
Computers and Operations Research
Reformulation descent applied to circle packing problems
Computers and Operations Research
Numerical Comparison of Augmented Lagrangian Algorithms for Nonconvex Problems
Computational Optimization and Applications
Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, 16)
Orthogonal packing of rectangular items within arbitrary convex regions by nonlinear optimization
Computers and Operations Research
Augmented Lagrangian methods under the constant positive linear dependence constraint qualification
Mathematical Programming: Series A and B
Minimizing the object dimensions in circle and sphere packing problems
Computers and Operations Research
Computational Optimization and Applications
On Augmented Lagrangian Methods with General Lower-Level Constraints
SIAM Journal on Optimization
Graph Theory
Orthogonal packing of identical rectangles within isotropic convex regions
Computers and Industrial Engineering
A heuristic approach for packing identical rectangles in convex regions
Computers and Operations Research
An augmented beam search-based algorithm for the circular open dimension problem
Computers and Industrial Engineering
High density packings of equal circles in rectangles with variable aspect ratio
Computers and Operations Research
Packing unit spheres into the smallest sphere using VNS and NLP
Computers and Operations Research
Packing unequal circles using formulation space search
Computers and Operations Research
Patterns and pathways of packing circles into a square
International Journal of Computer Applications in Technology
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The focus of study in this paper is the class of packing problems. More specifically, it deals with the placement of a set of N circular items of unitary radius inside an object with the aim of minimizing its dimensions. Differently shaped containers are considered, namely circles, squares, rectangles, strips and triangles. By means of the resolution of non-linear equations systems through the Newton-Raphson method, the herein presented algorithm succeeds in improving the accuracy of previous results attained by continuous optimization approaches up to numerical machine precision. The computer implementation and the data sets are available at http://www.ime.usp.br/~egbirgin/packing/.