The optimisation of gas networks has emerged as a critical field in energy systems engineering, incorporating advanced nonlinear programming techniques to address the increasing complexity of gas ...
Mixed Integer Nonlinear Programming Ksenia Bestuzheva 2020 Good introduction to MINLP (a little background noise) Solving Mixed-Integer Nonlinear Programming (MINLP) Problems Marcel Hunting 2016 Lec ...
This work proposes a multiperiod mixed-integer nonlinear programming (MINLP) model to optimize the complex operations of CO 2 buffering in tanks, transport through pipe networks, and storage in ...
Abstract: The trust-region method and projection neural networks are two branches of optimization approaches with different operational principles and characteristics. In this article, a trust-region ...
No algorithm for optimizing general nonlinear functions exists that will always find the global optimum for a general nonlinear minimization problem in a reasonable amount of time. Since no single ...
Abstract: With an emphasis on nonlinear models for energy harvesting (EH), this article examines nonlinear approaches in advanced optimization for simultaneous wireless information and power transfer ...
This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...
There are three groups of optimization techniques available in PROC NLP. A particular optimizer can be selected with the TECH=name option in the PROC NLP statement. Since no single optimization ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results