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Uniqueness of integer solution of linear equations

Mangasarian, Olvi L.; Ferris, Michael C. - In: Optimization letters 4 (2010) 4, pp. 559-565

Persistent link: https://www.econbiz.de/10008660518

Probability of unique integer solution to a system of linear equations

Mangasarian, Olvi L.; Recht, Benjamin - In: European journal of operational research : EJOR 214 (2011) 1, pp. 27-30

Persistent link: https://www.econbiz.de/10009238183

Inequlities for stochastic nonlinear programming problems

Mangasarian, O. L.; Rosen, J. B. - In: Operations research 12 (1964) 1, pp. 143-154

Persistent link: https://www.econbiz.de/10002427700

Inequalities for stochastic nonlinear programming problems

Mangasarian, O. L.; Rosen, J. B. - In: Recent advances in mathematical programming, (pp. 123). 1963

Persistent link: https://www.econbiz.de/10002428187

Linear and nonlinear separation of patterns by linear programming

Mangasarian, O. L. - In: Operations research 13 (1965) 8, pp. 444-452

Persistent link: https://www.econbiz.de/10002428192

Nonlinear fractional fractional programming

Mangasarian, O. L. - In: Journal of the Operations Research Society of Japan : JORSJ 12 (1969) 1, pp. 1-10

Persistent link: https://www.econbiz.de/10002428194

Nonlinear programming problems with stochastic objective functions

Mangasarian, O. L. - In: Management science : journal of the Institute for … 10 (1964) 2, pp. 353-359

Persistent link: https://www.econbiz.de/10002428200

Breast Cancer Diagnosis and Prognosis Via Linear Programming

Mangasarian, Olvi L.; Street, W.Nick; Wolberg, William H. - In: Operations research : the journal of the Operations … 43 (1995) 4, pp. 570-577

Persistent link: https://www.econbiz.de/10006420645

Nonlinear Programming Problems with Stochastic Objective Functions

Mangasarian, O. L. - In: Management Science 10 (1964) 2, pp. 353-359

In many optimization problems the objective function may depend on a random set of coefficients that have some known distribution. For example, a profit function may depend on certain market conditions which can at best be estimated by a set of random variables with some given distribution. An...

Persistent link: https://www.econbiz.de/10009190738