Greedy algorithm

Intro: Newtons Method: Haley F. / Andrew H. Newton’s Method, also known as Newton-Raphson method, is a method used for finding the zeros, roots or in more simple terms where any given function exactly crosses the x access. In calculus we may be presented with problems given that we cannot find a definite answer to, but we can use Newton’s Method to calculate a group of answers that get closer and closer to the actual solution. Newton’s Method has given the world of calculus a method of…

1.1.1 Types of Sensor Networks Terrestrial WSNs: - In Terrestrial WSNs, nodes are distributed in a given area either in a pre-planned manner (sensor nodes are placed according to optimal placement, grid placement, 2-d and 3-d placement models) or in an ad hoc manner (sensor nodes are randomly placed in the target area by dropping it from plane). After all battery power is limited and it cannot be reenergized, terrestrial sensor nodes must be provided with a maximum power source such as solar…

decryption of our original information into secret message and vice versa. Two famous methods of cryptography are symmetric key and asymmetric key. In symmetric key a common key is used for both encryption and decryption of message. The widely used algorithm for this is DES. Asymmetric key cryptography is much more secure because it used two keys private and public. If message is encrypted with private key then it decrypted only with sender’s public key and vice versa. …

Max GladeCS228 Written ReportFor my final project I decided to expand my KNN-Learner to be able to recognizemovement and gestures that occur over time. I started off working with the ASLalphabet but came to the conclusion that not many signs are dynamic, so I trained myKNN classifier to recognize RSTC (Recreational Scuba Training Council) hand signalswhich mostly require hand movement. On top of requiring the ability to track movementthe KNN classifier and my code needed to be able to handle…

better population is generated and the process is repetitive till a fine solution is found or with predefined number of iteration. The key advantage of the GA approach does not rely upon precise knowledge of the problem definition. The success of the algorithm is accredited to various factors: powerful, global parallel search capability, computation simplicity, and robustness, ability to combine with other heuristic procedures and independence from solution traits such as linear or non-linear…

One of the key functions in logistics systems is physical distribution, involving the flow of products from manufacturing plants or central depots through the transportation network to consumers. It is an expensive function, especially for the industries involving distribution. The Operational Research literature has addressed this problem by calling it as the vehicle routing problem (VRP). Vehicle scheduling or vehicle routing problem (VRP) is a combinatorial optimization and integer…

indi- cated that the more maximum the modularity the more robust the approach to detect communities, hence many optimization techniques applied to optimize the modularity as an objective such as greedy optimization[5] , extremal optimiza- tion [10] , simulated annealing [11], and genetic algorithms (GA) [12]. However, one aspect of such networks has been ignored so far: real networks are often multidimensional, i.e. two nodes may connect through many different types of…

many methods that are being employed to solve TSP problems, which vary as per their respective path formulation techniques and also time-span required for computation completion. Some of those methods are as mentioned: Heuristics, Genetic Search, Greedy, Hill Climbing, Simulated Annealing, Ant Colony, Random search…

The gradual transformation in data quantity has resulted in emergence of the Big data and immense datasets that need to be stored. Traditional relational databases are facing many difficulties meeting the requirements of the volume and heterogeneity structure of big data. NoSQL databases are designed with a novel data management system that can handle and process huge volumes of data. NOSQL systems provide horizontal scalability by supporting horizontal data partitioning across heterogeneous…

Abstract:The objective of the project is to diagnose a child with learning disability and provide appropriate study material. The model will first classify a child as learning disabled or non- learning disabled based on certain assessment parameters. Once diagnosed with learning disability, the child is further classified into different types of learning disability like dyslexia, dysgraphia,dyscalculia and dysphasia. The model not only detects the type but also will identify the level of…