• PHYSALIS

  • Referenced in 29 articles [sw02386]
  • dimensional flows. We study the convergence property of PHYSALIS when it is applied to incompressible ... Instead, a consistency equation based on the local (near particle) representation of the solution ... issues needs to be addressed is the convergence properties of the iterative procedure. In this...
  • LyapunovFunDR

  • Referenced in 2 articles [sw34755]
  • convex Douglas–Rachford Iteration”. While global convergence of the Douglas-Rachford iteration is often observed ... inclusions provide not only global or local convergence certificates, but also imply robust stability, which ... means that the convergence is still guaranteed in the presence of persistent disturbances. In this ... Lyapunov function is constructed by combining known local Lyapunov functions for simpler, local subproblems...
  • CGLS

  • Referenced in 8 articles [sw07879]
  • approach that combines global search strategies with local search and attempts to find a global ... that it may converge to a better minimum starting from a local nonglobal minimum. This ... random population to globalize the algorithm. Convergence to a zero order stationary point is established...
  • FarRSA

  • Referenced in 1 article [sw25237]
  • FarRSA for l1-regularized convex optimization: local convergence and numerical experience. FaRSA ... prove that the iterates converge locally at a superlinear rate. Moreover, we present the details...
  • IBCN

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

  • Referenced in 2 articles [sw40191]
  • signals. As local search techniques may converge to local optima, we introduce stochastic aspects such...
  • levmar

  • Referenced in 64 articles [sw04809]
  • iterative technique that finds a local minimum of a function that is expressed ... steepest descent method: slow, but guaranteed to converge. When the current solution is close...
  • PeSOA

  • Referenced in 4 articles [sw38287]
  • efficient intensification strategy allows fast convergence to a local optimum, whereas an effective diversification strategy...
  • SDBOX

  • Referenced in 30 articles [sw05137]
  • constrained optimization. We propose a new globally convergent derivative-free algorithm for the minimization ... variables are bounded. This algorithm investigates the local behaviour of the objective function...
  • Regtheory.jl

  • Referenced in 1 article [sw39171]
  • relies upon Bregman divergences to replace norm convergence. This is comparable to the extension ... previously used to prove the fast local convergence of optimisation methods, we show norm convergence...
  • CARTopt

  • Referenced in 4 articles [sw08364]
  • optimization A random search algorithm for unconstrained local nonsmooth optimization is described. The algorithm forms ... shown to converge to an essential local minimizer of f with probability one under mild...
  • pySLEQP

  • Referenced in 2 articles [sw17724]
  • obtain a step that promotes locally superlinear convergence. This class of methods has several appealing...
  • AILU

  • Referenced in 26 articles [sw41207]
  • nonlocal, we introduce a second order local approximation of the parabolic factors. We analyze ... AILU (Analytic ILU) preconditioner with convergence rate effectiveness of the new approach...
  • 3dsch

  • Referenced in 2 articles [sw10331]
  • describe a simple and rapidly converging code for solving local Schr”odinger equations ... imaginary time evolution operator which improves the convergence rate by one to two orders ... assessing convergence and accuracy.Our code requires one user defined function which specifies the local external...
  • GAITA

  • Referenced in 2 articles [sw19464]
  • eventual linear rate, and the convergence to a local minimizer. Compared to the Jacobi counterpart ... algorithm can allow larger step sizes and converge much faster. The effectiveness of the proposed...
  • DFBOX_IMPR

  • Referenced in 22 articles [sw36996]
  • constrained optimization. We propose a new globally convergent derivative-free algorithm for the minimization ... variables are bounded. This algorithm investigates the local behaviour of the objective function...
  • GenClust

  • Referenced in 4 articles [sw30045]
  • data representation, it converges very rapidly to a local optimum and that its ability...
  • BLOPEX

  • Referenced in 27 articles [sw04024]
  • that includes an eigensolver implemented with the Locally Optimal Block Preconditioned Conjugate Gradient Method (LOBPCG ... stiffness matrix; and apparently optimal convergence speed. BLOPEX supports parallel MPI-based computations. BLOPEX...
  • TRIC

  • Referenced in 47 articles [sw02165]
  • elemental natural stiffness matrix to the local and global Cartesian coordinates. The modes show explicitly ... purpose of the element TRIC; fast convergence is observed in many examples...
  • libeikonal

  • Referenced in 2 articles [sw31746]
  • regular grid by solving local variational minimization problems. Our methods converge linearly but compute significantly ... method employs a fast search using local characteristic directions to prune unnecessary updates ... solved locally around point sources to maintain linear convergence. We conduct extensive numerical simulations...