Linear Programming Courses and Certifications

NPTEL-NOC IITM

Simplex Methods in Matrix Form

Learn matrix-based simplex methods for efficient linear programming problem-solving, enhancing your optimization skills and mathematical understanding.

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

ACM SIGPLAN

A Practical Construction for Decomposing Numerical Abstract Domains

Discover a generic approach for decomposing numerical abstract domain transformers that improves performance while maintaining precision, demonstrated across Zones, Octagon, and Polyhedra domains.

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

The Julia Programming Language

HiGHS - The Story So Far

Discover HiGHS, the world's leading open-source solver for large-scale linear and mixed integer programming, exploring solution methods, software challenges, and scaling strategies.

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

Conference GSI

A Linear Program for Points of Interest Relocation in Adaptive Maps

Explore an innovative linear program for relocating points of interest in adaptive maps, enhancing cartographic visualization and user experience.

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

The Julia Programming Language

What's New in HiGHS and Thanks to JuMP for Its Support

Discover HiGHS optimization software advancements including new interior point solver, multi-threading for mixed-integer programming, and GPU-based methods for linear programming.

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

Introduction to Graduate Algorithms

1 review

Learn advanced techniques for designing algorithms and apply them to hard computational problems.

• Udacity
• 20 hours
• On-Demand
• Free Online Course

ExcelIsFun

Basic Excel Business Analytics - Intro to Linear Programming Using Algebra, Pencil & Paper

Introduction to linear programming using algebra and graphing methods to solve manufacturing problems and maximize contribution margin, with focus on mathematical modeling and feasible region analysis.

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

Learn Data Structures and Algorithms 2 in Python

99 ratings at Boot.dev

Master advanced algorithms in Python, from Dijkstra's and A* Search to Dynamic Programming and Linear Programming. Enhance problem-solving skills and optimize code performance for complex computational challenges.

• Boot.dev
• 22 hours
• On-Demand
• Paid Course

Data Analytics Foundations

94 ratings at Noble Desktop

Master statistical concepts, data visualization, and predictive analytics while learning to use powerful tools for forecasting, regression analysis, probability modeling, and prescriptive analytics.

• Noble Desktop
• 12 hours
• On-Demand
• $595.00

Supply Chain Analytics in Python

Leverage the power of Python and PuLP to optimize supply chains.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Introduction to Optimization in Python

Learn to solve real-world optimization problems using Python's SciPy and PuLP, covering everything from basic to constrained and complex optimization.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Recherche opérationnelle: optimiser ses décisions

Découvrez les méthodes d'optimisation pour améliorer la prise de décision dans divers secteurs. Apprenez la programmation linéaire, non linéaire, en nombres entiers et l'optimisation avec apprentissage automatique.

• edX
• 5 weeks, 3-4 hours a week
• On-Demand
• Free Online Course (Audit)

CppNow

Linear Programming Made Easy with Boost Proto

Linear programming optimization using Boost Proto. Learn to model and solve complex decision problems efficiently with CVX++, a declarative domain-specific language embedded in C++.

• YouTube
• 39 minutes
• On-Demand
• Conference Talk

NPTEL;  Chennai Mathematical Institute

Design and Analysis of Algorithms

8 reviews

Learn algorithm design and analysis, covering sorting, graphs, dynamic programming, and complexity theory. Gain practical skills in efficient problem-solving and algorithm implementation.

• YouTube
• 15 hours
• On-Demand
• Free Video

Applied Algebraic Topology Network

Minimal Cycle Representatives in Persistent Homology Using Linear Programming

Explores optimization techniques for selecting minimal cycle representatives in persistent homology, comparing effectiveness and computational costs of various algorithms using linear programming methods.

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