Modeling soil processes: Review, key challenges, and new perspectives
The remarkable complexity of soil and its importance to a wide range of ecosystem services
presents major challenges to the modeling of soil processes. Although major progress in soil …
presents major challenges to the modeling of soil processes. Although major progress in soil …
Multifocal displays: review and prospect
Conventional stereoscopic three-dimensional displays suffer from vergence-accommodation
conflict because the stimulus to accommodation is fixed by the display panel and viewing …
conflict because the stimulus to accommodation is fixed by the display panel and viewing …
Sequential quadratic programming
PT Boggs, JW Tolle - Acta numerica, 1995 - cambridge.org
Since its popularization in the late 1970s, Sequential Quadratic Programming (SQP) has
arguably become the most successful method for solving nonlinearly constrained …
arguably become the most successful method for solving nonlinearly constrained …
An interior point algorithm for large-scale nonlinear programming
The design and implementation of a new algorithm for solving large nonlinear programming
problems is described. It follows a barrier approach that employs sequential quadratic …
problems is described. It follows a barrier approach that employs sequential quadratic …
A trust region method based on interior point techniques for nonlinear programming
An algorithm for minimizing a nonlinear function subject to nonlinear inequality constraints is
described. It applies sequential quadratic programming techniques to a sequence of barrier …
described. It applies sequential quadratic programming techniques to a sequence of barrier …
[LIVRE][B] Optimization theory and methods: nonlinear programming
W Sun, YX Yuan - 2006 - books.google.com
Optimization Theory and Methods can be used as a textbook for an optimization course for
graduates and senior undergraduates. It is the result of the author's teaching and research …
graduates and senior undergraduates. It is the result of the author's teaching and research …
Recent advances in trust region algorithms
Y Yuan - Mathematical Programming, 2015 - Springer
Trust region methods are a class of numerical methods for optimization. Unlike line search
type methods where a line search is carried out in each iteration, trust region methods …
type methods where a line search is carried out in each iteration, trust region methods …
Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions
S Shan, GG Wang - Structural and multidisciplinary optimization, 2010 - Springer
The integration of optimization methodologies with computational analyses/simulations has
a profound impact on the product design. Such integration, however, faces multiple …
a profound impact on the product design. Such integration, however, faces multiple …
Rietveld analysis software for J-PARC
R Oishi, M Yonemura, Y Nishimaki, S Torii… - Nuclear Instruments and …, 2009 - Elsevier
A new analysis software suite, Z-Code, is under development for powder diffraction data
analyses in the Materials and Life Science Facility (MLF) of the Japan Proton Accelerator …
analyses in the Materials and Life Science Facility (MLF) of the Japan Proton Accelerator …
[PDF][PDF] A review of trust region algorithms for optimization
Y Yuan - Iciam, 2000 - researchgate.net
Iterative methods for optimization can be classi ed into two categories: line search methods
and trust region methods. In this paper we give a review on trust region algorithms for …
and trust region methods. In this paper we give a review on trust region algorithms for …