Optimization in Calculus - Chapter Summary
Optimization in calculus refers to the minimum or maximum values a mathematical function, or the expression of a relationship between input and output, can hold. In this chapter, you'll learn about optimization and differentiation, which calculates how a function can change according to its numerical input. You'll also learn how to optimize simple and complex systems, such as those requiring more advanced calculations or that have a significant number of mathematical constraints.
This chapter also includes a description of related rates, measurements that are used to determine how a quantity is changing in relationship to other quantities. In addition to a general explanation, the instructor will take you through The Draining Tank Problem and show you how to calculate the distance between moving points. At the end of the lesson, you'll learn how to use technological tools to solve problems that include differentiation. When you complete the chapter, you should know how to:
- Use differential and integral calculus to model and solve a variety of problems, including those related to acceleration, mass, work and velocity
- Analyze how technology can be used to solve mathematical problems in the real world
- Illustrate concepts related to differential and integral calculus.
Our easy-to-understand video lessons on optimization in calculus are professionally taught by experienced and knowledgeable instructors. Designed to help you make sense of this complex mathematical subject, each tutorial is accompanied by a transcript, where key concepts and terms are linked to text-based lessons for further information. Additional features include an online self-assessment quiz to help you determine how well you grasped the material. If needed, you can also use the video tags to review specific parts of the presentation, without having to re-watch the entire video.