Jorge Nocedal

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Publications in SciGraph latest 50 shown

  • 2016-09 A family of second-order methods for convex ℓ1-regularized optimization in MATHEMATICAL PROGRAMMING
  • 2016-06 An inexact successive quadratic approximation method for L-1 regularized optimization in MATHEMATICAL PROGRAMMING
  • 2013-02 On the use of piecewise linear models in nonlinear programming in MATHEMATICAL PROGRAMMING
  • 2012-08 Sample size selection in optimization methods for machine learning in MATHEMATICAL PROGRAMMING
  • 2012-06 A line search exact penalty method using steering rules in MATHEMATICAL PROGRAMMING
  • 2010-04 An inexact Newton method for nonconvex equality constrained optimization in MATHEMATICAL PROGRAMMING
  • 2009-09 Data assimilation in weather forecasting: a case study in PDE-constrained optimization in OPTIMIZATION AND ENGINEERING
  • 2008-12 An algorithm for the fast solution of symmetric linear complementarity problems in NUMERISCHE MATHEMATIK
  • 2008 A Numerical Study of Active-Set and Interior-Point Methods for Bound Constrained Optimization in MODELING, SIMULATION AND OPTIMIZATION OF COMPLEX PROCESSES
  • 2006-07 An interior algorithm for nonlinear optimization that combines line search and trust region steps in MATHEMATICAL PROGRAMMING
  • 2006 Knitro: An Integrated Package for Nonlinear Optimization in LARGE-SCALE NONLINEAR OPTIMIZATION
  • 2004-01 On the convergence of Newton iterations to non-stationary points in MATHEMATICAL PROGRAMMING
  • 2003-10 Feasible Interior Methods Using Slacks for Nonlinear Optimization in COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
  • 2003-05 An algorithm for nonlinear optimization using linear programming and equality constrained subproblems in MATHEMATICAL PROGRAMMING
  • 2003 Assessing the Potential of Interior Methods for Nonlinear Optimization in LARGE-SCALE PDE-CONSTRAINED OPTIMIZATION
  • 2002-04 On the Behavior of the Gradient Norm in the Steepest Descent Method in COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
  • 2002-02 Enriched Methods for Large-Scale Unconstrained Optimization in COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
  • 2002-01 Wedge trust region methods for derivative free optimization in MATHEMATICAL PROGRAMMING
  • 2000-11 A trust region method based on interior point techniques for nonlinear programming in MATHEMATICAL PROGRAMMING
  • 2000-01 Numerical Experience with a Reduced Hessian Method for Large Scale Constrained Optimization in COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
  • 1998 The modified absolute-value factorization norm for trust-region minimization in HIGH PERFORMANCE ALGORITHMS AND SOFTWARE IN NONLINEAR OPTIMIZATION
  • 1998 Combining Trust Region and Line Search Techniques in ADVANCES IN NONLINEAR PROGRAMMING
  • 1996 Towards a Discrete Newton Method with Memory for Large-Scale Optimization in NONLINEAR OPTIMIZATION AND APPLICATIONS
  • 1994-01 Representations of quasi-Newton matrices and their use in limited memory methods in MATHEMATICAL PROGRAMMING
  • 1993-08 Analysis of a self-scaling quasi-Newton method in MATHEMATICAL PROGRAMMING
  • 1990-11 An analysis of reduced Hessian methods for constrained optimization in MATHEMATICAL PROGRAMMING
  • 1989-08 On the limited memory BFGS method for large scale optimization in MATHEMATICAL PROGRAMMING
  • 1986 Viewing the conjugate gradient method as a trust region algorithm in NUMERICAL ANALYSIS
  • Affiliations

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