Constrained Optimization Courses and Certifications

Optimization with SciPy

Master SciPy's optimize module to solve optimization problems, implement algorithms, and efficiently tackle both single and multivariable functions with constraints in Python.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

现代优化方法（英）

Master advanced optimization theory and algorithms, from unconstrained to constrained optimization, including semismooth Newton's method and practical applications in research problems with hands-on case studies.

• XuetangX
• On-Demand
• Free Online Course

工程优化方法及其应用

掌握工程领域主要优化方法，从数学基础到智能算法，涵盖线性规划、约束优化、多目标优化等核心技术，提升工程问题求解能力。

• XuetangX
• On-Demand
• Free Online Course

最优化计算

掌握非线性规划、无约束和约束优化方法，学习邻近梯度法和交替方向乘子法，提升数学应用和算法实现能力。

• XuetangX
• On-Demand
• Free Online Course

Advanced Concepts in Economics

Learn the basic concepts of economics through Data Science applications and Python programming. This course covers applications in production theory, utility maximization, randomized controlled trials, and income inequality. Second course of a three cour…

• edX
• 4 weeks, 5-10 hours a week
• On-Demand
• Free Online Course (Audit)

Engineering Design Optimization - Linear Constrained Optimization

Explore mathematical and algorithmic fundamentals of optimization for engineering systems design, covering linear and non-linear problems with emphasis on multidisciplinary applications.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Basic Math: Derivatives

Master differential calculus fundamentals including function properties, derivative calculations, chain rule, and optimization techniques for early university students.

• Coursera
• 17 hours 24 minutes
• On-Demand
• Paid Course

Multivariable Calculus 1: Vectors and Derivatives

Explore multivariable calculus with vectors and derivatives, learning to visualize functions, compute partial derivatives, optimize functions with constraints, and represent linear approximations.

• MITx Online
• 15 weeks, 6 hours a week
• On-Demand
• Free Online Course

Instituto de Matemática Pura e Aplicada

Métodos Computacionais de Otimização - Aula 06

Explore métodos computacionais de otimização com foco em técnicas unidimensionais, descida, busca linear, gradiente, Newton e direções conjugadas para problemas irrestritos e com restrições.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Instituto de Matemática Pura e Aplicada

Métodos Computacionais de Otimização - Aula 07

Explore métodos computacionais de otimização com foco em técnicas unidimensionais, descida, busca linear, gradiente, Newton e direções conjugadas para problemas restritos e irrestritos.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Instituto de Matemática Pura e Aplicada

Métodos Computacionais de Otimização - Aula 01

Explore métodos computacionais de otimização com técnicas unidimensionais, irrestritas e com restrições, incluindo gradiente, Newton e programação quadrática sequencial.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Simons Institute

Last-Iterate Convergence in Constrained Min-Max Optimization - SOS to the Rescue

Explore last-iterate convergence in constrained min-max optimization using Sum of Squares (SOS) techniques, with insights from Yale's Yang Cai on adversarial approaches in machine learning.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

APS Physics

Mixing Enhancement for Binary Fluids Using PDE-Constrained Optimization

Optimization approach for enhancing binary fluid mixing efficiency through innovative stirring protocols and stirrer shapes, utilizing unsteady hydrodynamics and vortex-shedding to improve homogeneity within energy constraints.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Running Linux on Constrained IoT Devices - Memory Optimization Techniques

Explore memory optimization techniques for running Linux on resource-constrained IoT devices, enabling advanced functionality on small platforms with limited RAM and XIP flash.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Sample Size Estimates for Risk-Neutral Semilinear PDE-Constrained Optimization

Explore sample size estimates for risk-neutral semilinear PDE-constrained optimization using SAA approach, covering nonasymptotic analysis and numerical illustrations.

• YouTube
• 30 minutes
• On-Demand
• Free Video