- Referenced in 31 articles
- Robust optimization made easy with ROME We introduce ROME, an algebraic modeling toolbox ... class of robust optimization problems. ROME serves as an intermediate layer between the modeler ... solver engines, allowing modelers to express robust optimization problems in a mathematically meaningful ... modeling and subsequent numerical analysis of robust optimization problems. ROME is freely distributed for academic...
- Referenced in 71 articles
- problems. The TOMLAB optimization environment is flexible, easy-to-use, robust and reliable ... applied optimization problems. TOMLAB has grown out of a need for advanced, robust and reliable ... software for the solution of applied optimization problems. TOMLAB supplies Matlab solver algorithms, as well...
- Referenced in 29 articles
- control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained...
- Referenced in 62 articles
- robust gradient sampling algorithm for nonsmooth, nonconvex optimization The authors describe a practical and robust...
- Referenced in 8 articles
- package ROptEst: Optimally robust estimation , Optimally robust estimation in general smoothly parameterized models using...
- Referenced in 395 articles
- allows for robust and repeatable experiments: robust because performance results with artificially-generated matrices ... that typically do not have such geometry (optimization, circuit simulation, economic and financial modeling, theoretical...
- Referenced in 116 articles
- solving linear, quadratic, and nonlinear smooth optimization problems, both convex and nonconvex. It is also ... MINLP). KNITRO is highly regarded for its robustness and efficiency. KNITRO provides a wide range ... KNITRO will remain the leader in nonlinear optimization...
- Referenced in 44 articles
- global optimization) and the results confirm its competitiveness in terms of efficiency and robustness...
- Referenced in 140 articles
- deficient covariance matrix, and we provide a robust and reliable Lanczos algorithm which -- despite ... algorithms have applications in signal processing, optimization and LSI information retrieval...
- Referenced in 4 articles
- RobLox: Optimally robust influence curves and estimators for location and scale , Functions for the determination ... optimally robust influence curves and estimators in case of normal location and/or scale...
- Referenced in 6 articles
- packages for the computation of optimally robust estimators and tests as well as the necessary...
- Referenced in 3 articles
- Algorithms and concepts for robust optimization. In this work we consider uncertain optimizition problems where ... RecFeas and RecOpt to such a robust optimization problem, using a location theoretic point ... continuous and discrete problem applications of robust optimization: Linear programs from the Netlib benchmark ... library ROPI as a framework for robust optimization with support for most established mixed-integer...
- Referenced in 165 articles
- international reputation as a source of robust and efficient numerical software. Among its best known ... processors. If you are interested in our optimization or nonlinear equation solving packages, our work...
- Referenced in 11 articles
- regarding the function to be optimized, it is quite robust with respect to non-quadratic ... surfaces. The degree of robustness can be adjusted by the user. In fact, simulated annealing ... used as a local optimizer for difficult functions...
- Referenced in 11 articles
- package for the robust and fast solution of noisy optimization problems with continuous variables varying...
- Referenced in 18 articles
- offspring. Our aim is the optimization of the balance between exploration and exploitation ... robustness of this crossover, we have used a set of functions to be optimized with...
- Referenced in 10 articles
- PSOt - a particle swarm optimization toolbox for use with Matlab. Robust Particle Swarm toolbox implementing ... developers, students, and classroom labs. It is robust enough that several papers have been developed ... easy to hack. Users of MATLAB’s Optimization Toolbox should feel right at home...
- Referenced in 15 articles
- development of new optimization algorithms. In particular, the focus is on robust and efficient algorithms...
- Referenced in 82 articles
- Intelligent Scissors. Recently, an approach based on optimization by graph-cut has been developed which ... given quality of result. Thirdly, a robust algorithm for ”border matting” has been developed...
- Referenced in 2 articles
- parametrization of quantum objects and a robust optimization mechanism. New ways of re-examining well...