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State Space to Transfer Function01:21

State Space to Transfer Function

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The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
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State Function, Exact and Inexact Differentials01:27

State Function, Exact and Inexact Differentials

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A state function is a thermodynamic property that depends solely on the current state of a system, irrespective of its history or how it arrived at that state. These functions are represented by capital letters, such as U, H, and S, which stand for internal energy, enthalpy, and entropy, respectively.For instance, the value of internal energy depends on the system's state variables and remains unaffected by the process path. This means that whether the system underwent a linear process or a...
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Numerical Calculations01:24

Numerical Calculations

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In engineering applications, the representation of the numerical value is critical. Presenting or reporting the answer is one of the essential parts of engineering practices. Numerical calculations are performed using handheld calculators or computers since numerically accurate answers are always preferred.
The solution to a problem is obtained using different methods. While manually solving algebraic symbols is one of the most common methods, the graphical method is often preferred. Computers...
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Vector Algebra: Method of Components01:08

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It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...
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Transfer Function to State Space01:23

Transfer Function to State Space

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State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an RLC...
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Gaussian Elimination: Problem Solving01:30

Gaussian Elimination: Problem Solving

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Systems of linear equations in several variables are pivotal in modeling complex scenarios involving multiple unknowns and constraints. Such systems are widely used in various fields to represent relationships where several conditions must be simultaneously satisfied. Each variable in the system corresponds to an unknown quantity, while each equation imposes a linear constraint, leading to a structured approach for analyzing and solving real-world problems.A system of three equations with three...
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Generation and Coherent Control of Pulsed Quantum Frequency Combs
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Numericware i: Identical by State Matrix Calculator.

Bongsong Kim1, William D Beavis1

  • 1Department of Agronomy, Iowa State University, Ames, IA, USA.

Evolutionary Bioinformatics Online
|May 5, 2017
PubMed
Summary

Numericware i software efficiently computes the identical by state (IBS) matrix for large genotypic datasets. It overcomes memory and processing challenges using multithreading and forward chopping, enabling analysis on standard computers.

Keywords:
Forward choppingGenetic relationship matrixIdentical by state matrixMultithreadingNumericware i

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Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Calculating an identical by state (IBS) matrix from large genotypic datasets is computationally intensive, requiring significant memory and processing time.
  • Existing software may struggle with high-dimensional datasets, limiting scalability and accessibility for researchers.

Purpose of the Study:

  • To introduce Numericware i, a novel software designed for efficient IBS matrix computation.
  • To address the computational challenges associated with large-scale genotypic data analysis.
  • To provide a scalable and accessible tool for genetic relationship matrix calculation.

Main Methods:

  • Implementation of multithreading to enable concurrent processing across multiple CPU cores.
  • Development of a forward chopping algorithm to divide large datasets into manageable subsets, mitigating memory limitations.
  • Comparative analysis of Numericware i against established software (SPAGeDi, TASSEL) using identical genotypic datasets.

Main Results:

  • Numericware i successfully computed IBS matrices for high-dimensional datasets where other software failed.
  • The software demonstrated high correlation (.9972) with TASSEL and significantly outperformed SPAGeDi in terms of correlation (.0505).
  • Numericware i efficiently processed a dataset of 500 entities by 10,000,000 SNPs in 382 minutes on a standard computer.

Conclusions:

  • Numericware i offers an efficient and scalable solution for IBS matrix computation from large genotypic datasets.
  • The software's algorithmic innovations make complex genetic analyses feasible on standard hardware.
  • Numericware i is freely available, promoting wider accessibility in genetic research.