matlab toolbox cvx (MathWorks Inc)
Structured Review
Matlab Toolbox Cvx, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab+toolbox+cvx/pm40218541-143-1-1
Average 90 stars, based on 1 article reviews
Images
Related Articles
other:Article Title: A gridless method for direction finding with sparse arrays in nonuniform noise Article Snippet: Article history: Available online 29 December 2022 Article Title: Chaos-Enhanced Adaptive Hybrid Butterfly Particle Swarm Optimization Algorithm for Passive Target Localization Article Snippet: Furthermore, it can be solved employing Article Title: Exact dual semi-definite programs for affinely adjustable robust SOS-convex polynomial optimization problems Article Snippet: This paper presents exact dual semi-definite programs (SDPs) for robust SOS-convex polynomial optimization problems with affinely adjustable variables in the sense that the optimal values of the robust problem and its associated dual SDP are equal with the solution attainment of the dual problem.. This class of robust convex optimization problems includes the correspondingquadratically constrained convexquadratic optimizationproblems and separable convexpolynomial optimizationproblems, and it employs ageneral bounded spectrahedron uncertainty set that covers the most commonly used uncertainty sets of numerically solvable robust optimization models, such as boxes, balls and ellipsoids.. As special cases, it also demonstrates that explicit exact dual SDP and secondorder cone programming (SOCP) in terms of original data hold for the robust two-stage convex quadratic programswith quadratic constraints and the robust two-stage separable convex quadratic programs under an ellipsoidal uncertainty set, respectively. Article Title: Generalized Farkas Lemma with Adjustable Variables and Two-Stage Robust Linear Programs Article Snippet: In this paper, we establish strong duality between affinely adjustable two-stage robust linear programs and their dual semidefinite programs under a general uncertainty set, that covers most of the commonly used uncertainty sets of robust optimization.. This is achieved by first deriving a new version of Farkas’ lemma for a parametric linear inequality system with affinely adjustable variables.. Our strong duality theorem not only shows that the primal and dual program values are equal, but also allows one to find the value of a two-stage robust linear program by solving a semidefinite linear program. Article Title: A Simple and Efficient Method for RSS-AOA-Based Localization with Heterogeneous Anchor Nodes Article Snippet: The Article Title: A Simple and Efficient Method for RSS-AOA-Based Localization with Heterogeneous Anchor Nodes. Article Snippet: The Article Title: A Co-Localization Algorithm for Underwater Moving Targets with an Unknown Constant Signal Propagation Speed and Platform Errors Article Snippet: In the simulation, we take c = c o + 20 as the known sound speed and use the |
