Search results
Results from the WOW.Com Content Network
The coneprog function solves SOCP problems [12] using an interior-point algorithm [13] MOSEK: commercial: parallel interior-point algorithm NAG Numerical Library: commercial: General purpose numerical library with SOCP solver SCS: open source SCS (Splitting Conic Solver) is a numerical optimization package for solving large-scale convex ...
Conic optimization is a subfield of convex optimization that studies problems consisting of minimizing a convex function over the intersection of an affine subspace and a convex cone. The class of conic optimization problems includes some of the most well known classes of convex optimization problems, namely linear and semidefinite programming .
Many optimization problems can be equivalently formulated in this standard form. For example, the problem of maximizing a concave function can be re-formulated equivalently as the problem of minimizing the convex function . The problem of maximizing a concave function over a convex set is commonly called a convex optimization problem.
Problems that are built on the knight's move in chess 1967 Nov: A mixed bag of logical and illogical problems to solve 1967 Dec: Game theory is applied (for a change) to games 1968 Jan: The beauties of the square, as expounded by Dr. Matrix to rehabilitate the hippie 1968 Feb: Combinatorial problems involving tree graphs and forests of trees ...
The vertices of a central conic can be determined by calculating the intersections of the conic and its axes — in other words, by solving the system consisting of the quadratic conic equation and the linear equation for alternately one or the other of the axes. Two or no vertices are obtained for each axis, since, in the case of the hyperbola ...
A linear programming problem is one in which we wish to maximize or minimize a linear objective function of real variables over a polytope.In semidefinite programming, we instead use real-valued vectors and are allowed to take the dot product of vectors; nonnegativity constraints on real variables in LP (linear programming) are replaced by semidefiniteness constraints on matrix variables in ...
In celestial mechanics, Lambert's problem is concerned with the determination of an orbit from two position vectors and the time of flight, posed in the 18th century by Johann Heinrich Lambert and formally solved with mathematical proof by Joseph-Louis Lagrange. It has important applications in the areas of rendezvous, targeting, guidance, and ...
Folds satisfying the Huzita–Hatori axioms can construct exactly the same set of points as the extended constructions using a compass and conic drawing tool. Therefore, origami can also be used to solve cubic equations (and hence quartic equations), and thus solve two of the classical problems. [19]