An Iterative Algorithm for the Least Squares Generalized Reflexive
Solutions of the Matrix Equations 
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				<tspan style="font-size: 17.93px; " x="0" y="0">𝐴</tspan>
				<tspan style="font-size: 17.93px; " x="12.857961" y="0">𝑋</tspan>
				<tspan style="font-size: 17.93px; " x="27.02503" y="0">𝐵</tspan>
				<tspan style="font-size: 17.93px; " x="44.473839" y="0">=</tspan>
				<tspan style="font-size: 17.93px; " x="61.74332" y="0">𝐸</tspan>
				<tspan style="font-size: 17.93px; " x="74.547478" y="0">,</tspan>
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				<tspan style="font-size: 17.93px; " x="0" y="0">𝐶</tspan>
				<tspan style="font-size: 17.93px; " x="12.033043" y="0">𝑋</tspan>
				<tspan style="font-size: 17.93px; " x="26.200113" y="0">𝐷</tspan>
				<tspan style="font-size: 17.93px; " x="45.334625" y="0">=</tspan>
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<table>Convergence curve for the Frobenius norm of the residual for Example <a href="https://static.hindawi.com/articles/aaa/volume-2012/857284/figures/#ex4.2">4.2</a>.</table>

Abstract and Applied Analysis

fig2

Figure 2

Figure 2: An Iterative Algorithm for the Least Squares Generalized Reflexive
Solutions of the Matrix Equations 
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				<tspan style="font-size: 17.93px; " x="0" y="0">𝐴</tspan>
				<tspan style="font-size: 17.93px; " x="12.857961" y="0">𝑋</tspan>
				<tspan style="font-size: 17.93px; " x="27.02503" y="0">𝐵</tspan>
				<tspan style="font-size: 17.93px; " x="44.473839" y="0">=</tspan>
				<tspan style="font-size: 17.93px; " x="61.74332" y="0">𝐸</tspan>
				<tspan style="font-size: 17.93px; " x="74.547478" y="0">,</tspan>
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				<tspan style="font-size: 17.93px; " x="12.033043" y="0">𝑋</tspan>
				<tspan style="font-size: 17.93px; " x="26.200113" y="0">𝐷</tspan>
				<tspan style="font-size: 17.93px; " x="45.334625" y="0">=</tspan>
				<tspan style="font-size: 17.93px; " x="62.604103" y="0">𝐹</tspan>
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Figure 2 | An Iterative Algorithm for the Least Squares Generalized Reflexive
Solutions of the Matrix Equations 

	
		
			
				𝐴
				𝑋
				𝐵
				=
				𝐸
				,
			

		
	
 
	
		
			
				𝐶
				𝑋
				𝐷
				=
				𝐹
			

		
	
 

Abstract and Applied Analysis

An Iterative Algorithm for the Least Squares Generalized Reflexive Solutions of the Matrix Equations 𝐴 𝑋 𝐵 = 𝐸 , 𝐶 𝑋 𝐷 = 𝐹

Figure 2

An Iterative Algorithm for the Least Squares Generalized Reflexive Solutions of the Matrix Equations