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  • MATH 132A

    • Optimization . MATH 132A

    Global and local optimization, constrained and unconstrained optimization, convex versus nonconvex optimization, Projection Theorem, linear search methods, gradient methods, Newton and Quasi-Newton methods, trust region methods.

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    Prerequisites: Math 6A and 108A, each with a minimum grade of C.

    4

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    Letters and science

    College
    These majors only matcs math finms mthsc amath
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    Lecture
    GIRV 2128
    T R
    15:30 PM - 16:45 PM
    45 / 45 Full
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    Winter 2024 . Casteels K L
    ARTS 1356
    M W F
    11:00 AM - 11:50 AM
    Winter 2025 . Casteels K L
    NH 1109
    M W F
    11:00 AM - 11:50 AM
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    MATH 132A Atzberger P J Winter 2025 Total: 37
    MATH 132A Casteels K L Winter 2025 Total: 47
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    MATH 132A
    45 / 45 Full
    Optimization
    Xin Su 2.3
    T R
    09:30 AM - 10:45 AM
    50.3% A
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