Results 191 to 200 of about 330,664 (214)
A Localization Method for Multistatic SAR Based on Convex Optimization. [PDF]
PLoS One, 2015 Zhong X +5 more
europepmc +1 more source
A convex optimization approach for identification of human tissue-specific interactomes. [PDF]
Bioinformatics, 2016 Mohammadi S, Grama A.
europepmc +1 more source
Observers design for unknown input nonlinear descriptor systems via convex optimization
, 2006 Damien Koenig
openalex +1 more source
Beamforming Design for STAR-RIS-Assisted NOMA with Binary and Coupled Phase-Shifts. [PDF]
Entropy (Basel)Liu Y, Wang Y, Xu W.
europepmc +1 more source
Energy efficiency maximization for IRS-assisted UAV short packet communication. [PDF]
Sci RepHu H +5 more
europepmc +1 more source
Solving Nonconvex Optimal Control Problems by Convex Optimization [PDF]
Journal of Guidance, Control, and Dynamics, 2013 Motivated by aerospace applications, this paper presents a methodology to use second-order cone programming to solve nonconvex optimal control problems. The nonconvexity arises from the presence of concave state inequality constraints and nonlinear terminal equality constraints.
Xinfu Liu, Ping Lu
openaire +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Convex Optimization With Convex Constraints
2001In this chapter we want to solve the problem minf(x) | x ∈ C, where f is a convex function on ℝ n , and C is a convex, nonempty subset of ℝ n . A point x* ∈ C is a global solution, or more simply a solution to this problem, or a minimizer of f on C, if f(x*) ≤ f(x), ∀x ∈ C. We say that x* is a local solution to this problem if there exists a relatively
Cuong Le Van, Monique Florenzano
openaire +2 more sources
2009
Optimization is a central theme of applied mathematics that involves minimizing or maximizing various quantities. This is an important application of the derivative tests in calculus. In addition to the first and second derivative tests of one-variable calculus, there is the powerful technique of Lagrange multipliers in several variables.
Kenneth R. Davidson, Allan P. Donsig
openaire +2 more sources
Optimization is a central theme of applied mathematics that involves minimizing or maximizing various quantities. This is an important application of the derivative tests in calculus. In addition to the first and second derivative tests of one-variable calculus, there is the powerful technique of Lagrange multipliers in several variables.
Kenneth R. Davidson, Allan P. Donsig
openaire +2 more sources