
GQTPAR
 Referenced in 334 articles
[sw07451]
 algorithm for the problem of minimizing a quadratic function subject to an ellipsoidal constraint ... second order necessary conditions for a minimizer of the objective function. Numerical results for GQTPAR...

Optimization Toolbox
 Referenced in 312 articles
[sw10828]
 quadratic, integer, and nonlinear optimization problems. Optimization Toolbox™ provides functions for finding parameters that minimize ... linear programming, mixedinteger linear programming, quadratic programming, nonlinear optimization, and nonlinear least squares...

UOBYQA
 Referenced in 69 articles
[sw07576]
 curvature of the objective function by forming quadratic models by interpolation. Obviously, no first derivatives ... vector of variables either by minimizing the quadratic model subject to a trust region bound ... error of the quadratic approximation of the function being minimized. It is pointed out that...

CVX
 Referenced in 855 articles
[sw04594]
 standard problem types, including linear and quadratic programs (LPs/QPs), secondorder cone programs (SOCPs ... conveniently formulate and solve constrained norm minimization, entropy maximization, determinant maximization, and many other convex...

HSLVF05
 Referenced in 73 articles
[sw36311]
 Lanczos method. The approximate minimization of a quadratic function within an ellipsoidal trust region...

TRICE
 Referenced in 46 articles
[sw05197]
 sequential quadratic programming (SQP) algorithms for the solution of a class of minimization problems with ... reasonable, but more stringent, conditions on the quadratic model and on the trial steps ... nondegenerate strict local minimizer is $q$quadratic. The results given here include, as special cases...

QPOPT
 Referenced in 17 articles
[sw07859]
 Fortran 77 subroutines for minimizing a general quadratic function subject to linear constraints and simple ... linear equalities and inequalities. If the quadratic function is convex (i.e., the Hessian is positive ... obtained will be a global minimizer. If the quadratic is nonconvex (i.e., the Hessian ... infeasibilities. The second phase minimizes the quadratic function within the feasible region, using a reduced...

FPC_AS
 Referenced in 70 articles
[sw12218]
 problem, which involves the minimization of a smaller and smooth quadratic function, is solved...

Algorithm 829
 Referenced in 61 articles
[sw04467]
 functions are generated by defining a convex quadratic function systematically distorted by polynomials in order ... attraction region of the global minimizer ... distance from the global minimizer to the vertex of the quadratic function. Then, all other...

SQOPT
 Referenced in 18 articles
[sw07860]
 software package for minimizing a convex quadratic function subject to both equality and inequality constraints...

NPSOL
 Referenced in 147 articles
[sw07420]
 Fortran 77 subroutines for minimizing a smooth function subject to constraints, which may include simple ... problem size. NPSOL uses a sequential quadratic programming (SQP) algorithm, in which each search direction...

ve08
 Referenced in 150 articles
[sw05141]
 clustered eigenvalues at a minimizer x *, in which case conjugate gradient and limited memory variable ... traditional approach of approximating f by local quadratic models, which is computationally feasible even...

NAPHEAP
 Referenced in 11 articles
[sw23701]
 article considers the problem of minimizing a convex, separable quadratic function subject to a knapsack...

QPsimplex
 Referenced in 5 articles
[sw31751]
 Simplex QPbased methods for minimizing a conic quadratic objective over polyhedra. We consider minimizing ... quadratic objective over a polyhedron. Such problems arise in parametric valueatrisk minimization, portfolio ... polynomial interior point algorithms for conic quadratic optimization. However, interior point algorithms are not well...

BubbleFOS/C
 Referenced in 8 articles
[sw06814]
 relaxed solution to an edge cut minimizing binary quadratic program (BQP). This result provides...

QMAT
 Referenced in 4 articles
[sw31046]
 Computing Medial Axis Transform By Quadratic Error Minimization. The medial axis transform ... method, called QMAT, that uses quadratic error minimization to compute a structurally simple, geometrically...

LSSVMlab
 Referenced in 26 articles
[sw07367]
 structural risk minimization. In the methods one solves convex optimization problems, typically quadratic programs. Least...

BOBYQA
 Referenced in 80 articles
[sw04769]
 name BOBYQA denotes Bound Optimization BY Quadratic Approximation. Please send an email ... most powerful package available at present for minimizing functions of hundreds of variables without derivatives...

SpeeDP
 Referenced in 4 articles
[sw07003]
 programming (LRSDP) relaxations of unconstrained ${1,1}$ quadratic problems (or, equivalently, of maxcut problems ... convex nonlinear programming problem of minimizing a quadratic function subject to separable quadratic equality constraints...

QSPLINE
 Referenced in 4 articles
[sw07307]
 reformulated as an unconstrained minimization problem with a convex quadratic spline (i.e., a differentiable convex ... solving the original quadratic programming problem, in which various unconstrained minimization algorithms can be used ... finding a stationary point of the convex quadratic spline. The QSPLINE method can also ... dynamic balance between the need for minimizing the original objective function and that of forcing...