<?xml version="1.0" encoding="UTF-8"?><feed xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns="http://www.w3.org/2005/Atom">
<title>JAEM 2015, Vol 5, No 2</title>
<link href="http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/2397" rel="alternate"/>
<subtitle>JAEM 2015, Vol 5, No 2 koleksiyonunu içerir.</subtitle>
<id>http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/2397</id>
<updated>2026-04-07T17:22:01Z</updated>
<dc:date>2026-04-07T17:22:01Z</dc:date>
<entry>
<title>Compressive split-step Fourier method</title>
<link href="http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/6050" rel="alternate"/>
<author>
<name>Bayındır, Cihan</name>
</author>
<id>http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/6050</id>
<updated>2024-07-18T11:34:51Z</updated>
<published>2015-04-01T00:00:00Z</published>
<summary type="text">Compressive split-step Fourier method
Bayındır, Cihan
In this paper an approach for decreasing the computational effort required for the split-step Fourier method (SSFM) is introduced. It is shown that using the sparsity property of the simulated signals, the compressive sampling algorithm can be used as a very efficient tool for the split-step spectral simulations of various phenomena which can be modeled by using differential equations. The proposed method depends on the idea of using a smaller number of spectral components compared to the classical split-step Fourier method with a high number of components. After performing the time integration with a smaller number of spectral components and using the compressive sampling technique with l(1) minimization, it is shown that the sparse signal can be reconstructed with a significantly better efficiency compared to the classical split-step Fourier method. Proposed method can be named as compressive split-step Fourier method (CSSFM). For testing of the proposed method the Nonlinear Schrodinger Equation and its one-soliton and two-soliton solutions are considered.
</summary>
<dc:date>2015-04-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Book Review: Oktay Veliyev. Multidimensional Periodic Schrödinger Operator (Perturbation Theory and Applications)</title>
<link href="http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/6034" rel="alternate"/>
<author>
<name>Hasanoğlu, Elman</name>
</author>
<id>http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/6034</id>
<updated>2024-07-17T12:13:21Z</updated>
<published>2015-04-01T00:00:00Z</published>
<summary type="text">Book Review: Oktay Veliyev. Multidimensional Periodic Schrödinger Operator (Perturbation Theory and Applications)
Hasanoğlu, Elman
[No abstract available]
</summary>
<dc:date>2015-04-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Trivially extendable graphs</title>
<link href="http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/2570" rel="alternate"/>
<author>
<name>Angaleeswari, K.</name>
</author>
<author>
<name>Sumathi, P.</name>
</author>
<author>
<name>Swaminathan, V.</name>
</author>
<id>http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/2570</id>
<updated>2024-05-07T21:36:00Z</updated>
<published>2015-03-24T00:00:00Z</published>
<summary type="text">Trivially extendable graphs
Angaleeswari, K.; Sumathi, P.; Swaminathan, V.
Let G be a simple graph. Let k be a positive integer. G is said to be k-extendable if every independent set of cardinality k is contained in a maximum independent set of G. G is said to be trivially extendable if G is not k-extendable for 1 ? k ? (?0(G) ? 1). A well covered graph is one in which every maximal independent set is maximum. Study of k-extendable graphs has been made in [7,8,9]. In this paper a study of trivially extendable graphs is made. Characterization of graphs with ?0(G) = (n ? 3) and which is trivially extendable has been done. Similarly graphs with ?0(G) = (n ? 2) is also studied for trivial extensibility.
</summary>
<dc:date>2015-03-24T00:00:00Z</dc:date>
</entry>
<entry>
<title>A efficient computational method for solving stochastic itô-volterra integral equations</title>
<link href="http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/2569" rel="alternate"/>
<author>
<name>Mohammadi, Fakhrodin</name>
</author>
<id>http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/2569</id>
<updated>2024-05-07T21:35:59Z</updated>
<published>2015-01-01T00:00:00Z</published>
<summary type="text">A efficient computational method for solving stochastic itô-volterra integral equations
Mohammadi, Fakhrodin
In this paper, a new stochastic operational matrix for the Legendre wavelets is presented and a general procedure for forming this matrix is given. A computational method based on this stochastic operational matrix is proposed for solving stochastic Itô-Voltera integral equations. Convergence and error analysis of the Legendre wavelets basis are investigated. To reveal the accuracy and efficiency of the proposed method some numerical examples are included.
</summary>
<dc:date>2015-01-01T00:00:00Z</dc:date>
</entry>
</feed>
