Dynamic Programming: Fibonacci Numbers

This lecture introduces dynamic programming as an algorithmic paradigm, focusing on the concept of memoization. Starting with the Fibonacci numbers, the instructor explains the top-down and bottom-up approaches, illustrating how to save computation time by remembering previous calculations. The lecture covers the implementation of memoization for Fibonacci numbers, showcasing the efficiency of the bottom-up method. Key elements in designing a dynamic programming algorithm, such as optimal substructure, are discussed. The lecture concludes with a detailed explanation of rod cutting as an application of dynamic programming, emphasizing the structural theorem and its proof.

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Related concepts (32)

CS-250: Algorithms

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Fibonacci sequence

In mathematics, the Fibonacci sequence is a sequence in which each number is the sum of the two preceding ones. Numbers that are part of the Fibonacci sequence are known as Fibonacci numbers, commonly denoted Fn . The sequence commonly starts from 0 and 1, although some authors start the sequence from 1 and 1 or sometimes (as did Fibonacci) from 1 and 2. Starting from 0 and 1, the first few values in the sequence are: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144.

Generalizations of Fibonacci numbers

In mathematics, the Fibonacci numbers form a sequence defined recursively by: That is, after two starting values, each number is the sum of the two preceding numbers. The Fibonacci sequence has been studied extensively and generalized in many ways, for example, by starting with other numbers than 0 and 1, by adding more than two numbers to generate the next number, or by adding objects other than numbers. Using , one can extend the Fibonacci numbers to negative integers. So we get: −8, 5, −3, 2, −1, 1, 0, 1, 1, 2, 3, 5, 8, .

Fibonacci coding

In mathematics and computing, Fibonacci coding is a universal code which encodes positive integers into binary code words. It is one example of representations of integers based on Fibonacci numbers. Each code word ends with "11" and contains no other instances of "11" before the end. The Fibonacci code is closely related to the Zeckendorf representation, a positional numeral system that uses Zeckendorf's theorem and has the property that no number has a representation with consecutive 1s.

Fibonacci polynomials

In mathematics, the Fibonacci polynomials are a polynomial sequence which can be considered as a generalization of the Fibonacci numbers. The polynomials generated in a similar way from the Lucas numbers are called Lucas polynomials. These Fibonacci polynomials are defined by a recurrence relation: The Lucas polynomials use the same recurrence with different starting values: They can be defined for negative indices by The Fibonacci polynomials form a sequence of orthogonal polynomials with and .

Dynamic programming

Dynamic programming is both a mathematical optimization method and an algorithmic paradigm. The method was developed by Richard Bellman in the 1950s and has found applications in numerous fields, from aerospace engineering to economics. In both contexts it refers to simplifying a complicated problem by breaking it down into simpler sub-problems in a recursive manner. While some decision problems cannot be taken apart this way, decisions that span several points in time do often break apart recursively.