Nonlinear Optimization II
NONLINEAR OPTIMIZATION II covers theory and algorithms for nonlinearly constrained optimization, including optimality conditions, duality, and methods like interior-point and SQP.
Summary
Recent recorded grades — Spring 2020: 3.71 GPA, 83.3% A/AB (n=12 letter grades); Fall 2022: 3.59 GPA, 76.5% A/AB (n=17 letter grades); Spring 2026: 3.59 GPA, 72.7% A/AB (n=11 letter grades).
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Prerequisites
Course mapSTAT/COMP SCI/I SY E/MATH 726
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Professors
Fall 2026No instructors recorded for this selection.
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Student experience
the class
Recent recorded grades — Spring 2020: 3.71 GPA, 83.3% A/AB (n=12 letter grades); Fall 2022: 3.59 GPA, 76.5% A/AB (n=17 letter grades); Spring 2026: 3.59 GPA, 72.7% A/AB (n=11 letter grades).
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Grades
Latest available · Spring 2026— not enough history to project Fall 2026.
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Sources & history
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Explore recorded gradesModel outputs & technical records
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Model & dataset provenance
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"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "ac97a4d10f6c9602470226f047ffe3f83fa427141323b0e340fcfa09863a893f",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}