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Tomlab Optimization sparse nonlinear optimal controller snopt
Sparse Nonlinear Optimal Controller Snopt, supplied by Tomlab Optimization, 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/tomlab/snopt/bio_rxiv__2025__01__21__634028-54-16-20
Average 90 stars, based on 1 article reviews
sparse nonlinear optimal controller snopt - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Mechanical efficiency during sub-maximal cycling is underestimated because negative muscular power is ignored
Article Snippet: Optimal STIM( t ) for one full cycle were found through the use of the sparse nonlinear optimal controller (SNOPT; TOMLAB Optimization, Pullman, WA).

Article Title: Highlighting the potential of Synechococcus elongatus PCC 7942 as platform to produce α-linolenic acid through an updated genome-scale metabolic modeling
Article Snippet: Tomlab CPLEX (Tomlab Optimization Inc., San Diego, CA) and Gurobi (Gurobi Optimization Inc., Houston, TX) were used for solving the linear programming problems.

Article Title: Limiting radial pedal forces greatly reduces maximal power output and efficiency in sprint cycling: an optimal control study.
Article Snippet: These discretized differential equations, together with the constraint equations and optimization criterion described earlier, form a large-scale nonlinear programming problem, which was solved using sparse nonlinear optimal controller (SNOPT; TOMLAB Optimization, Pullman, WA).

Article Title: Towards planetary boundary sustainability of food processing wastewater, by resource recovery & emission reduction: A process system engineering perspective
Article Snippet: The former formulated NLP problems within the TOMLAB optimisation environment in Matlab ( ) and solved these using SNOPT ( ).

Article Title: Augmentation-based preconditioners for saddle-point systems with singular leading blocks
Article Snippet: For our test problems, we use the LP lp_stocfor2 and the TOMLAB QP problem 37 (which has m = 490; n = 1275; 3,288 nonzeros in the Jacobian matrix; and 290 in the Hessian).

Article Title: Enabling resiliency using microgrids with dynamic boundaries
Article Snippet: TOMLAB/AMPL v2.0 (GUROBI v5.6) Optimization Environment is exploited to solve the MILP problem of MG formation.

Article Title: Limiting radial pedal forces greatly reduces maximal power output and efficiency in sprint cycling: an optimal control study.
Article Snippet: The derivatives and second derivatives of the constraints and cost function were computed analytically using PROPT (TOMLAB Optimization, Pullman, WA).

Article Title: Optimal spatial evaluation of a pro rata vaccine distribution rule for COVID-19
Article Snippet: The solution was found using TOMLAB (v. 8.4) (72, 73) and the accompanying PROPT toolbox (74).



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