University · Business Informatics · Mathematical Foundations

Calculus and Optimization for Business Decision-Making

4 Abschnitte1 Karteikarten-Decks1 Quizze

A business-informatics-oriented treatment of derivatives, marginal analysis, and constrained optimization, connecting classical calculus to operations research, inventory management, and the gradient-descent methods that train modern machine learning models.

Inhaltsübersicht

  • Calculus as the Mathematics of Change and Decision at the Margin
  • Constrained Optimization and Lagrange Multipliers
  • Gradient Descent: Calculus as the Engine of Machine Learning
  • Applying Calculus-Based Optimization in Enterprise Decision Support
A line graph showing a curve with a marked peak, illustrating a profit-maximizing point found through marginal analysis
Pixabay – Pixabay License

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