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matlab toolbox cvx  (MathWorks Inc)


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    MathWorks Inc matlab toolbox cvx
    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
    matlab toolbox cvx - by Bioz Stars, 2026-09
    90/100 stars

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    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 MATLAB toolbox CVX with the SeDuMi solver.

    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 MATLAB toolbox CVX [ ] is utilized to solve the SDP and SOCP, with SeDuMi [ ] as the selected solver.

    Article Title: A Simple and Efficient Method for RSS-AOA-Based Localization with Heterogeneous Anchor Nodes.
    Article Snippet: The MATLAB toolbox CVX [24] is utilized to solve the SDP and SOCP, with SeDuMi [25] as the selected solver.

    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 MATLAB toolbox CVX to solve the SDP problems [ ]. a–c, respectively, depict the RMSE curves of the position estimation, velocity estimation, and speed of sound estimation as the sensor measurement error varies.



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    Benchmarking of economic optimization models.

    Journal: Heliyon

    Article Title: Mixed-integer disciplined convex programming approach applied to the optimal energy supply of near-zero energy buildings

    doi: 10.1016/j.heliyon.2024.e36873

    Figure Lengend Snippet: Benchmarking of economic optimization models.

    Article Snippet: [ ] , 2014 , Matlab CVX toolbox , St. Louis and San Francisco in United States , Distributed optimization based on Alternating direction method of multipliers (ADMM) , PV, wind turbine, diesel generator and different storage technologies , Total cost , The problem can be parallelized, making it scalable as the number of scenarios increases, ensuring convergence. The algorithm converges when both the primal and dual residual are less than a certain threshold, ensuring convergence in the numerical examples provided.

    Techniques: Battery, Isolation