Abir Biswas

Half cool - half nerd.

Student at college of engineering and management, kolaghat.

Studied at kendriya vidyalaya

Skilled in computer programming, coding, gaming and software development

Go Pro in 9 slides

GoPro, Inc. is an American technology company founded in 2002 by Nick Woodman. It manufactures action cameras and develops its own mobile apps and video-editing software.

UV spectroscopy

Ultraviolet–visible spectroscopy or ultraviolet–visible spectrophotometry refers to absorption spectroscopy or reflectance spectroscopy in part of the ultraviolet and the full, adjacent visible spectral regions. This means it uses light in the visible and adjacent ranges.

NP Copmleteness and Approximation Algorithms

In computational complexity theory, a problem is NP-complete when it can be solved by a restricted class of brute force search algorithms and it can be used to simulate any other problem with a similar algorithm. ... If any NP-complete problem has a polynomial time algorithm, all problems in NP do.

Architecture of Micro controllers

Microcontroller. A microcontroller is essentially a small computer on a chip. Like any computer, it has memory, and can be programmed to do calculations, receive input, and generate output. Unlike a PC, it incorporates memory, a CPU, peripherals and I/O interfaces into a single chip.

Analyzing Algorithms

Algorithm analysis is an important part of computational complexity theory, which provides theoretical estimation for the required resources of an algorithm to solve a specific computational problem. Most algorithms are designed to work with inputs of arbitrary length.

Information Theory & Coding

nformation theory studies the quantification, storage, and communication of information. It was originally proposed by Claude Shannon in 1948 to find fundamental limits on signal processing and communication operations such as data compression, in a landmark paper titled "A Mathematical Theory of Communication".

Linked List-Reference

One disadvantage of using arrays to store data is that arrays are static structures and therefore cannot be easily extended or reduced to fit the data set. Arrays are also expensive to maintain new insertions and deletions. In this chapter we consider another data structure called Linked Lists that addresses some of the limitations of arrays. A linked list is a linear data structure where each element is a separate object. Each element (we will call it a node) of a list is comprising of two items - the data and a reference to the next node. The last node has a reference to null. The entry point into a linked list is called the head of the list. It should be noted that head is not a separate node, but the reference to the first node. If the list is empty then the head is a null reference. A linked list is a dynamic data structure. The number of nodes in a list is not fixed and can grow and shrink on demand. Any application which has to deal with an unknown number of objects will need to use a linked list. One disadvantage of a linked list against an array is that it does not allow direct access to the individual elements. If you want to access a particular item then you have to start at the head and follow the references until you get to that item. Another disadvantage is that a linked list uses more memory compare with an array - we extra 4 bytes (on 32-bit CPU) to store a reference to the next node.

Regular Expressions

A regular expression, regex or regexp is a sequence of characters that define a search pattern. Usually such patterns are used by string searching algorithms for "find" or "find and replace" operations on strings, or for input validation

Finite Automata

Definition of Finite Automata. A finite automaton (FA) is a simple idealized machine used to recognize patterns within input taken from some character set (or alphabet) C. The job of an FA is to accept or reject an input depending on whether the pattern defined by the FA occurs in the input. In the theory of computation, a branch of theoretical computer science, a deterministic finite automaton —also known as deterministic finite acceptor, deterministic finite state machine

Queue-Refernced

A java.lang.ref.ReferenceQueue is a simple data structure onto which the garbage collector places reference objects when the reference field is cleared (set to null). You would use a reference queue to find out when an object becomes softly, weakly, or phantomly reachable so your program can take some action based on that knowledge. For example, a program might perform some post-finalization cleanup processing that requires an object to be unreachable (such as the deallocation of resources outside the Java heap) upon learning that an object has become phantomly reachable. To be placed on a reference queue, a reference object must be created with a reference queue. Soft and weak reference objects can be created with a reference queue or not, but phantom reference objects must be created with a reference queue: ReferenceQueue queue = new ReferenceQueue(); PhantomReference pr = new PhantomReference(object, queue); Another approach to the soft reference example from the diagram on the previous page could be to create the SoftReference objects with a reference queue, and poll the queue to find out when an image has been reclaimed (its reference field cleared). At that point, the program can remove the corresponding entry from the hash map, and thereby, allow the associated string to be garbage collected. ReferenceQueue q = new ReferenceQueue(); Reference r; while((r = q.poll()) != null) { //Remove r's entry from hash map }

Introduction to Data Structure

DS introduction. A data structure is a special way of organizing and storing data in a computer so that it can be used efficiently. Array, LinkedList, Stack, Queue, Tree, Graph etc are all data structures that stores the data in a special way so that we can access and use the data efficiently.

Time and Space Analysis of Algorithms

Time complexity of an algorithm quantifies the amount of time taken by an algorithm to run as a function of the length of the input. Similarly, Space complexity of an algorithm quantifies the amount of space or memory taken by an algorithm to run as a function of the length of the input. ... Let each operation takes time.