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Author(s): 

SADATI Z. | MALEKNEJAD KH.

Issue Info: 
  • Year: 

    2015
  • Volume: 

    4
  • Issue: 

    3
  • Pages: 

    173-182
Measures: 
  • Citations: 

    0
  • Views: 

    321
  • Downloads: 

    89
Abstract: 

This paper introduces a numerical method for solving the vasicek model by using a stochastic operational matrix based on the Triangular functions (TFs) in combination with the collocation method. The method is stated by using conversion the the vasicek model to a stochastic nonlinear system of 2m+2 equations and 2 m+2 unknowns. Finally, the error analysis and some numerical examples are provided to demonstrate applicability and accuracy of this method.

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Author(s): 

FARSHCHI M.

Journal: 

AMIRKABIR

Issue Info: 
  • Year: 

    2003
  • Volume: 

    14
  • Issue: 

    53
  • Pages: 

    231-248
Measures: 
  • Citations: 

    0
  • Views: 

    697
  • Downloads: 

    0
Abstract: 

server ways of calculating non-Hermitian shape functions are considered. Also, disabilities of these techniques in generating Triangular elements are mentioned. A direct method of behaviour understanding for finding shape functions of Triangular element with side nodes is suggested. In addition, this technique is generalized to include internal nodes. Finally, suggested elements with these kinds of shape functions are evaluated numerically

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Issue Info: 
  • Year: 

    2013
  • Volume: 

    5
Measures: 
  • Views: 

    158
  • Downloads: 

    76
Abstract: 

AN EFFECTIVE METHOD BASED ON Triangular functions IS PROPOSED FOR THE SOLUTIONS OF 2D VOLTERRA INTEGRO-DIFFERENTIAL EQUATIONS. THE MAIN ADVANTAGE OF THIS METHOD IS ITS EFFICIENCY AND SIMPLE APPLICABILITY. A NUMERICAL EXAMPLE IS PRESENTED TO SHOW THAT THE ACCURACY OF THE METHOD.

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Issue Info: 
  • Year: 

    2008
  • Volume: 

    5
  • Issue: 

    19
  • Pages: 

    27-41
Measures: 
  • Citations: 

    0
  • Views: 

    466
  • Downloads: 

    180
Abstract: 

This paper presents a numerical method for finding the solution of time-delay systems using Triangular functions. We present the properties of the Triangular functions. The operational matrices of integration and delay are utilized to reduce the solution of time-delay systems to the solution of algebraic equations. Illustrative examples are included to demonstrate the validity and applicability of the technique.

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Issue Info: 
  • Year: 

    2016
  • Volume: 

    47
Measures: 
  • Views: 

    236
  • Downloads: 

    82
Abstract: 

A REAL MATRIX R WITH NONNEGATIVE ENTRIES IS CALLED ROW SUB STOCHASTIC IF EACH ROW SUM ISAT MOST 1. FOR X, Y Î RN, WE SAY THAT X IS ROW SUB STOCHASTIC UPPER Triangular MAJORIZED BY Y (WRITE AS X≺SUT Y) IF THERE EXISTS A ROW SUB STOCHASTIC UPPER Triangular MATRIX R SUCH THAT X=RY. IN THIS PAPER, THE STRUCTURE OF ALL LINEAR functions T: R3 → R3, PRESERVING (STRONGLY PRESERVING)≺SUT ARE CHARACTERIZED.

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Writer: 

Saeedi Habibollah

Issue Info: 
  • Year: 

    2013
  • Volume: 

    5
Measures: 
  • Views: 

    140
  • Downloads: 

    130
Abstract: 

IN THIS PAPER, WE STATE AND PROVE A NEW FORMULA EXPRESSING EXPLICITLY THE RIEMANN-LIOUVILLE FRACTIONAL INTEGRAL OF THE Triangular functions (TFS) WITH ANY FRACTIONAL-ORDER, IN TERMS OF TFS THEMSELVES AND USE IT TO CONSTRUCT A NEW AND GENERAL FORMULATION FOR THE Triangular FUNCTION (TF) OPERATIONAL MATRIX OF FRACTIONAL INTEGRAL (TF-OMFI). ALSO, BY USING THE TF-OMFI AND A SPECTRAL TAU METHOD, WE DEVELOP A DIRECT SOLUTION TECHNIQUE FOR SOLVING A NONLINEAR FRACTIONAL DIFFERENTIAL EQUATION.

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View 140

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Issue Info: 
  • Year: 

    2015
  • Volume: 

    46
Measures: 
  • Views: 

    143
  • Downloads: 

    77
Abstract: 

IN THIS PAPER WE INTEND TO OFFER A NUMERICAL METHOD TO SOLVE LINEAR FUZZY FREDHOLM INTEGRAL EQUATIONS SYSTEM OF THE SECOND KIND. THIS METHOD CONVERTS THE GIVEN FUZZY SYSTEM INTO A LINEAR SYSTEM OF ALGEBRAIC EQUATIONS BY USING Triangular ORTHOGONAL functions. THE PROPOSED METHOD IS ILLUSTRATED BY AN EXAMPLE AND ALSO RESULTS ARE COMPARED WITH THE EXACT SOLUTION BY USING COMPUTER SIMULATIONS.

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View 143

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Issue Info: 
  • Year: 

    2013
  • Volume: 

    5
  • Issue: 

    1
  • Pages: 

    41-45
Measures: 
  • Citations: 

    0
  • Views: 

    931
  • Downloads: 

    145
Abstract: 

For any fuzzy number value and ambiguity are very important, hence we propose a method for finding the nearest Triangular approximations of fuzzy number by definitions of value and ambiguity functions. Initially, we de ne the value and ambiguity functions for each fuzzy number. This evident that, two fuzzy numbers will be close if functions of value and ambiguity is close, therefor for finding nearest Triangular fuzzy number of any fuzzy number we find the nearest value and ambiguity functions by least square approach, such that the computational complexity is less than other methods. At last, we show some examples of fuzzy numbers and its Triangular approximation obtained by this method.

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Issue Info: 
  • Year: 

    2016
  • Volume: 

    47
Measures: 
  • Views: 

    137
  • Downloads: 

    54
Abstract: 

IN THIS PAPER WE INTEND TO OFFER A NUMERICAL METHOD TO SOLVE LINEAR TWO-DIMENSIONAL FREDHOLM INTEGRAL EQUATIONS SYSTEM OF THE SECOND KIND. THIS METHOD CONVERTS THE GIVEN TWO-DIMENSIONAL FREDHOLM INTEGRAL EQUATIONS SYSTEM INTO A LINEAR SYSTEM OF ALGEBRAIC EQUATIONS BY USING TWO DIMENSIONAL Triangular functions. MOREOVER, WE PROVE THE CONVERGENCE OF THE METHOD. FINALLY THE PROPOSED METHOD IS ILLUSTRATED BY AN EXAMPLE AND ALSO RESULTS ARE COMPARED WITH THE EXACT SOLUTION BY USING COMPUTER SIMULATIONS.

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Issue Info: 
  • Year: 

    2013
  • Volume: 

    44
Measures: 
  • Views: 

    118
  • Downloads: 

    61
Abstract: 

THIS PAPER GIVES EFFICIENT METHOD FOR SOLVING FINANCIAL PROBLEMS FORMULATED BY STOCHASTIC VOLTERRA INTEGRAL EQUATIONS. HERE, WE CONSIDER Triangular functions AND THEIR OPERATIONAL MATRIX AND STOCHASTIC OPERATIONAL MATRIX OF INTEGRATION. THIS METHOD HAS SEVERAL ADVANTAGES IN REDUCING COMPUTATIONAL BURDEN WITH GOOD DEGREE OF ACCURACY.

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