error-correcting codes that finds wide applications in many fields. The soft-decision decoding of Reed-Solomon codes provides reliable information from the channel into the decoding process. Many soft-decision decoding algorithms are available. Among them the Koetter-Vardy algorithm is used in this paper. The gain of soft-decision
Premium Data Computer Data mining
Introduction Markowitz (1952‚ 1956) pioneered the development of a quantitative method that takes the diversification benefits of portfolio allocation into account. Modern portfolio theory is the result of his work on portfolio optimization. Ideally‚ in a mean-variance optimization model‚ the complete investment opportunity set‚ i.e. all assets‚ should be considered simultaneously. However‚ in practice‚ most investors distinguish between different asset classes within their portfolio-allocation frameworks
Premium Investment Arithmetic mean Standard deviation
account for the purported unambiguity of the Sanskrit language. A Computational Algorithm based on Empirical Analysis‚ that Composes Sanskrit Poetry Rama N.‚ Meenakshi Lakshmanan (Submitted on 7 Mar 2010) Poetry-writing in Sanskrit is riddled with problems for even those who know the language well. This is so because the rules that govern Sanskrit prosody are numerous and stringent. We propose a computational algorithm that converts prose given as E-text into poetry in accordance with the metrical
Premium Linguistics Sanskrit Poetry
Prim’s algorithm Prim’s algorithm is an algorithm used to find out the minimum spanning tree. The cost or value of all the paths should be positive. For a given source vertex‚ this algorithm calculates the minimum distance that should be taken to all the nodes from the source vertex. Algorithm of Prim’s algorithm: 1. Initialize two sets S and V-S‚ where the set S will have the start vertex and V-S will have all the remaining vertexes. 2. Starting from the source vertex‚ traverse the adjacent
Premium Graph theory National Basketball Association National Football League
wide variety of optimization strategies for different quer y languages and implementation environments. However‚ very little is known about how to design and structure the query optimization component to implement these strategies. This paper proposes a first step towards the design of a modular query optimizer. We describe its operations by transformation rules which generate different QEPs from initial query specifications. As we distinguish different aspects of the query optimization process‚ our
Premium SQL
CS – 202 OPERATING SYSTEM External Marks: 60 L T P Internal Marks: 40 3 1 - Total Marks: 100 PREREQUISITES: Computer Systems programming and Data Structures. OBJECTIVES: Understand the overall architecture of the operating system and its main components‚ Functions of Kernel‚ file system architecture and implementation‚ concurrent programming and concurrency . COURSE CONTENTS: Introduction to Operating system‚ computer system structure ‚ operating system structure‚ process management‚
Premium Computer Algorithm Relational model
Cell 1 The initial material handling cost of the layout was Rs.10550. The CRAFT algorithm is used for the optimization of machines in the Cell 1 layout. After performing six iterations the cost has been reduced to Rs. 5950 and the layout has been optimized. In the optimized layout the machines 25 and 7 needs to be switched/interchanged. 1.1.1. Machine Optimization in Cell 2 The procedure for doing the optimization is discussed in 6.7.1. The facility information‚ machine information‚ flow matrix
Premium Jason Statham
Abstract A novel 0–1 integer programming formulation of the university timetabling problem is presented. The model provides constraints for a great number of operational rules and requirements found in most academic institutions. Treated as an optimization problem‚ the objective is to minimize a linear cost function. With this objective‚ it is possible to consider the satisfaction of expressed preferences regarding teaching periods or days of the week or even classrooms for specified courses. Moreover
Premium Optimization Operations research
References: for models involving a covering objective Batta‚ R.‚ and N.R. Mannur (1990). “Covering-Location Models for Emergency Situations that Require Multiple Response Units.” Management Science 36‚ 1623. Beasley‚ J.E. (1987). “An Algorithm for the Set Covering Problem.” European Journal of Operational Research 31‚ 85-93. Church‚ R.‚ and C. ReVelle (1974). “The Maximal Covering Location Problem.” Papers of the Regional Science Association 32‚ 101-118. Church‚ R.L.‚ and J.R. Weaver (1986)
Premium Optimization Linear programming Operations research
ANACOR The ANACOR algorithm consists of three major parts: 1. 2. 3. A singular value decomposition (SVD) Centering and rescaling of the data and various rescalings of the results Variance estimation by the delta method. Other names for SVD are “Eckart-Young decomposition” after Eckart and Young (1936)‚ who introduced the technique in psychometrics‚ and “basic structure” (Horst‚ 1963). The rescalings and centering‚ including their rationale‚ are well explained in Benzécri (1969)‚ Nishisato (1980)
Premium Singular value decomposition Linear algebra Variance