Optimizing Runtimes

Learning Objectives

1. Understand how problem size affects runtime. Explain why larger, more complex models take much longer to solve.

2. Identify ways to reduce the problem size. Learn techniques to simplify models (e.g., adjusting detail settings) to cut runtime.

3. Configure chronology settings for efficiency. Choose and set up Partial, Fitted, or Sampled chronologies to balance speed and accuracy.

4. Apply a step-by-step strategy to optimize runtimes

Learning Objectives

1. Understand how problem size affects runtime. Explain why larger, more complex models take much longer to solve.

2. Identify ways to reduce the problem size. Learn techniques to simplify models (e.g., adjusting detail settings) to cut runtime.

3. Configure chronology settings for efficiency. Choose and set up Partial, Fitted, or Sampled chronologies to balance speed and accuracy.

4. Apply a step-by-step strategy to optimize runtimes