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Sequential Quadratic Programming Methods for Parametric Nonlinear Optimization
Sequential quadratic programming (SQP) methods are known to be efficient for solving a series of related nonlinear optimization problems because of desirable hot and warm start properties-a solution for one problem is a goo...
JC - Počítačový hardware a software
- 2014 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
Algorithm 811: NDA: Algorithms for Nondifferentiable Optimization.
We present four basic FORTRAN subroutines for nondifferentiable optimization with simple bounds and general linear constraints. Subroutine PMIN, intended for minimax optimization, is based on a sequential quadratic programming
BA - Obecná matematika
- 2001 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
A stabilized SQP Method: Superlinear Convergence
Stabilized sequential quadratic programming (sSQP) methods for nonlinear a small relaxation of the optimality conditions for the quadratic programming. The method is provably well-defined and is based on s...
JC - Počítačový hardware a software
- 2016 •
- O •
- Link
Rok uplatnění
O - Ostatní výsledky
Výsledek na webu
Comparison of Solvers for Contact Problems
The paper focuses on the comparison of sequential solvers used for solving quadratic programming problems which have a wide variety of applications including contact modeling. The complex algebraic formulation generated fro...
Applied mathematics
- 2020 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Discrete minimax approximation with application to filter design
Minimax approximation is a very difficult problem, which cannot be solved by using standard optimization methods. In this paper, the sequential quadratic programming method and the proximal bundle method is presented and so...
BA - Obecná matematika
- 2003 •
- D
Rok uplatnění
D - Stať ve sborníku
Semi-monotonic augmented Lagrangians for optimal control and parameter identification
Optimization and inverse problems governed by partial differential equations are often formulated as constrained nonlinear programming problems via the Lagrange formalism. The nonlinearity is treated using the sequential quadrat...
BA - Obecná matematika
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
Multiparametric optimization module
evolution), gradient(Sequential quadratic programming) and one parameter method(Golden...
JD - Využití počítačů, robotika a její aplikace
- 2011 •
- R
Rok uplatnění
R - Software
Optimal Quadratic Programming Algorithms, with Applications to Variational Inequalities
This book is about optimal quadratic programming algorithms, with applications to variational inequalities. This book is monografy.
BA - Obecná matematika
- 2009 •
- B
Rok uplatnění
B - Odborná kniha
On special cases of box-constrained quadratic programming in robust statistics
Main topics of the document: quadratic programming; robust statistics; zonotope; hyperplane arrangement; time complexity...
Statistics and probability
- 2022 •
- O
Rok uplatnění
O - Ostatní výsledky
An algorithm for solving 3D contact problems with fiction
The contribution deals with the numerical solving of contact problems with friction for 3D elastic bodies. The algorithm uses a new quadratic programming solver for the separated quadratic constraints....
BA - Obecná matematika
- 2004 •
- D
Rok uplatnění
D - Stať ve sborníku
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