• SCCP

  • Referenced in 72 articles [sw03318]
  • Convergence of a non-interior continuation algorithm for the monotone SCCP It is well known ... algorithm is globally linearly and locally quadratically convergent under suitable assumptions...
  • alphaCertified

  • Referenced in 39 articles [sw07351]
  • certify that Newton iterations will converge quadratically to solutions to a square polynomial system...
  • na12

  • Referenced in 28 articles [sw11490]
  • Meini, 1996), provides a numerically stable, quadratically convergent method for solving the matrix equation...
  • SSVM

  • Referenced in 59 articles [sw12678]
  • algorithm for solving the SSVM converges globally and quadratically. Numerical results and comparisons are given...
  • SQPlab

  • Referenced in 148 articles [sw05161]
  • particular it is NP-hard when the quadratic objective is nonconvex. On the other hand ... Newton method, the SQP algorithm converges very rapidly, meaning that it requires few iterations (hence...
  • reducedLP

  • Referenced in 12 articles [sw04821]
  • scaling algorithm, global convergence and local quadratic convergence are proved...
  • filterSQP

  • Referenced in 55 articles [sw04725]
  • Sequential Quadratic Programming solver with a “filter” to promote global convergence. The solver runs with ... robust QP solver. Keywords: Nonlinear Programming, Sequential Quadratic Programming...
  • TRICE

  • Referenced in 46 articles [sw05197]
  • family of trust-region interior-point sequential quadratic programming (SQP) algorithms for the solution ... methods, including many iterative techniques.par Global convergence of these algorithms to a first-order Karush ... reasonable, but more stringent, conditions on the quadratic model and on the trial steps ... rate of convergence to a nondegenerate strict local minimizer is $q$-quadratic. The results given...
  • voFoam

  • Referenced in 10 articles [sw26604]
  • increases volume conservation. A new efficient (quadratic convergent) and accurate iterative flux correction algorithm...
  • NewtonKKTqp

  • Referenced in 9 articles [sw04820]
  • prescribed value. Global and local quadratic convergence are proved under nondegeneracy assumptions for both algorithms...
  • TFETI

  • Referenced in 8 articles [sw20642]
  • presented and discussed and a local quadratic convergence of the semismooth Newton method is observed...
  • PROST

  • Referenced in 144 articles [sw12822]
  • lack of convergence with spatial refinement, or convergence to a solution that is slightly different ... calculated from an optimal fit for a quadratic approximation to the interface over groups...
  • IBCN

  • Referenced in 3 articles [sw03452]
  • through a variant of the (locally quadratically convergent) Newton method. For this method, easily computable...
  • SVMTorch

  • Referenced in 67 articles [sw12121]
  • regression problems are trained by solving a quadratic optimization problem which needs on the order ... recent paper from C. Lin [On the convergence of the decomposition method for support vector...
  • CFSQP

  • Referenced in 61 articles [sw04658]
  • implementation of two algorithms based on Sequential Quadratic Programming (SQP), modified so as to generate ... eventually accepted, a requirement for superlinear convergence. In the second one the same effect...
  • QUIC

  • Referenced in 20 articles [sw11795]
  • Newton’s method and employs a quadratic approximation, but with some modifications that leverage ... show that our method is superlinearly convergent, and present experimental results using synthetic and real...
  • MUSCOP

  • Referenced in 6 articles [sw06143]
  • sequential quadratic programming (SQP) method for inequality constrained problems and provide local convergence theory ... guarantee fast convergence. For the solution of the occurring large-scale quadratic programming problems ... counter-intuitive toy examples which show that convergence of a one-shot one-step optimization...
  • NLPQLP

  • Referenced in 38 articles [sw04073]
  • function and a linearization of constraints, a quadratic programming subproblem is formulated and solved ... given number of iterations. All theoretical convergence properties of the SQP algorithm remain satisfied...
  • na24

  • Referenced in 14 articles [sw11485]
  • algorithms are performed. Worst-case time complexity, convergence results, and examples are included. The fast ... transforms and then reduce the brute force quadratic worst-case time complexity to linear time...
  • QDPA

  • Referenced in 7 articles [sw12759]
  • second-order dynamical systems is presented: the quadratic dominant pole algorithm (QDPA). The algorithm works ... linearization is needed. To improve global convergence, the QDPA uses subspace acceleration, and deflation...