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INTRODUCTION TO OPTIMIZATION

COMPSCI/ECE/ISYE 524
과목 설명

Introduction to mathematical optimization from a modeling and solution perspective. Formulation of applications as discrete and continuous optimization problems and equilibrium models. Survey and appropriate usage of basic algorithms, data and software tools, including modeling languages and subroutine libraries.

선수과목

(COMPSCI 200 , COMPSCI 220 , COMPSCI 300 , 301, 302, COMPSCI 310 , or placement into COMPSCI 300 ) and (MATH 320 , MATH 340 , MATH 341 , or MATH 375 ) or graduate/professional standing

충족 요건
학점

미보고

개설 시기

미보고

평점
3.33

1.1% 과거 데이터 대비

수료율
99.37%

2.96% 과거 데이터 대비

A 비율
35.44%

-6.61% 과거 데이터 대비

학급 규모
158

62.79% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

NONLINEAR OPTIMIZATION I

COMPSCI/ISYE/MATH/STAT 726

Theory and algorithms for nonlinear optimization, focusing on unconstrained optimization. Line-search and trust-region methods; quasi-Newton methods; conjugate-gradient and limited-memory methods for large-scale problems; derivative-free optimization; algorithms for least-squares problems and nonlinear equations; gradient projection algorithms for bound-constrained problems; and simple penalty methods for nonlinearly constrained optimization. Students are strongly encouraged to have knowledge of linear algebra and familiarity with basic mathematical analysis.

ADVANCED OPTIMIZATION MODELING

ISYE 623

Translation of problems into optimization models, including how to implement these models in relevant software. Specific topics include techniques to create models of problems with discrete decisions that can be efficiently solved by available software and modeling approaches for problems impacted by uncertainty.

INTRODUCTION TO DESIGN OPTIMIZATION

ME 548

Introduces basic concepts and techniques used in the optimization of engineering design components and systems. Pose and solve typical optimization problems such as truss and finite-element-based optimization.

OPERATIONS RESEARCH-DETERMINISTIC MODELING

ISYE 323

Basic techniques for modeling and optimizing deterministic systems with emphasis on linear programming. Computer solution of optimization problems. Applications to production, logistics, and service systems.

LINEAR OPTIMIZATION

COMPSCI/ISYE/MATH/STAT 525

Introduces optimization problems whose constraints are expressed by linear inequalities. Develops geometric and algebraic insights into the structure of the problem, with an emphasis on formal proofs. Presents the theory behind the simplex method, the main algorithm used to solve linear optimization problems. Explores duality theory and theorems of the alternatives.