TPT
Total:
$0.00
Preview of Algorithm Analysis & Design: Limits, Growth Rates & Runtime Analysis

Algorithm Analysis & Design: Limits, Growth Rates & Runtime Analysis

This lesson provides a complete foundation in Orders of Growth within Algorithm Analysis and Design, covering relative rates of growth, logarithmic, polynomial, exponential and factorial functions, limits-based comparisons, L’Hôpital’s Rule, Stirling’s Formula, and Big-O classifications. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full Orders of Growth Slide Deck (PPT + PDF)💡 Growth comparison graphs and figures💡 Worked mathematical examples using limits💡 Algorithm runtime estimat
Preview of Algorithm Analysis & Design: Mathematical Analysis of Recursive Algorithms

Algorithm Analysis & Design: Mathematical Analysis of Recursive Algorithms

This lesson provides a complete, concept-clear foundation in the Mathematical Analysis of Recursive Algorithms, covering recurrence relations, basic operation counting, forward and backward substitution, and mathematical evaluation of recursive algorithm efficiency. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full Mathematical Analysis of Recursive Algorithms Slide Deck (PPT + PDF)💡 Worked recursive algorithm examples💡 Forward and backward substitution solutions💡 Operation-count
Preview of Namespace Complete Lesson | Object Oriented Programming ( C++ )

Namespace Complete Lesson | Object Oriented Programming ( C++ )

This lesson introduces students to Namespaces in C++. It is designed for AP Computer Science, Intro to C++, Object-Oriented Programming, College CS1/CS2, homeschool advanced programming, and coding bootcamps. ────────── ⋆⋅☆⋅⋆ ────────── ✨✨ What Students Will Learn ✨✨ ✔ Purpose of Namespaces ✔ Defining a Namespace ✔ Using Scope Resolution (::) ✔ Calling Functions Inside a Namespace ✔ Using Multiple Namespaces ✔ The using Directive ✔ Classes Inside a Namespace ✔ Using Multiple Classes Within a
Showing 1-3 of 3+ results