'Cn lg' presentation slideshows

Computer Algorithms Lecture 6 Recurrence Ch. 4 (till Master Theorem)

Computer Algorithms Lecture 6 Recurrence Ch. 4 (till Master Theorem). Some of these slides are courtesy of D. Plaisted et al, UNC and M. Nicolescu, UNR. 1. Merge Sort. Sorting Problem : Sort a sequence of n elements into non-decreasing order.

598 views • 37 slides

????? ???? ? ???? ??? 2008. 2. 12 ??? ????? : ??? ???

Chapter 3. Growth of function Chapter 4. Recurrences. ????? ???? ? ???? ??? 2008. 2. 12 ??? ????? : ??? ???. Contents of Table. A. Growth of function. 1. Technicalities for abbreviation 2. Recurrence solution methods The substitution method.

526 views • 32 slides

Recurrences

Recurrences. Chapter 3. Growth of function Chapter 4. Recurrences. ????? ???? ? ???? ??? 2008. 1. 11 ??? ????? : ??? ???. Contents of Table. Review Asymptotic notation The substitution method The recursion-tree method The master theorem method Proof of the master theorem.

544 views • 31 slides

Getting Started

472 views • 28 slides

Algorithms and Computations Complexity Lecture 4 Growth of Functions Instructor : Haya Sammaneh

Algorithms and Computations Complexity Lecture 4 Growth of Functions Instructor : Haya Sammaneh. Recurrences.

341 views • 23 slides

Introduction to Algorithms

Introduction to Algorithms. Chapter 4: Recurrences. Solving Recurrences. A recurrence is an equation that describes a function in terms of itself by using smaller inputs The expression: Describes the running time for a function contains recursion. Solving Recurrences. Examples:

145 views • 11 slides